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15 Commits
Author SHA1 Message Date
FPille b8fcd7cf83 Improve find expressions/options 2019-08-05 22:48:18 +02:00
FPille 0bcc5dcabb Add CLI outputs 2019-08-05 21:17:27 +02:00
FPille 9f74f306e1 Fix find command for listing programs 2019-08-05 21:14:55 +02:00
FPille 65bf748d59 Remove less from packages / Copy less and column from build environment to AppDir 2019-08-05 20:12:19 +02:00
FPille 65dba03703 ImageMagick already exists in build environment 2019-08-05 20:10:38 +02:00
FPille cb1126b743 Add pushd "$HERE" 2019-08-05 20:07:41 +02:00
FPille 8ef928fcdd Add parameter ocrmypdf 2019-08-04 20:01:47 +02:00
FPille 67fa41c39a Force copy of less binaries 2019-08-04 19:54:47 +02:00
FPille 1e14c2101f Add user dialog to show license files 2019-08-04 19:32:16 +02:00
FPille 7f12775032 Add package less 2019-08-04 19:31:17 +02:00
FPille d3bee93ed5 Disable pytest 2019-08-04 19:30:14 +02:00
FPille 7409cbed29 Add ppa for pngquant 2.5.0 2019-08-02 17:46:46 +02:00
FrankandGitHub 55a44f823a Delete ocrmypdf.png
This file is a bloody workaround.  AppImages require a dir icon.
When started to build this AppImage there was no logo at the github repo of OCRmyPDF.
Now the build script uses/converts the OCRmyPDF logo to use it as dir icon.
2019-07-29 23:41:21 +02:00
FrankandGitHub 8cd87bd26f Correct order of programs 2019-07-29 20:59:45 +02:00
FPille 03932e877a Initial commit 2019-07-29 20:56:31 +02:00
366 changed files with 341 additions and 41464 deletions
-25
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[paths]
source =
src
*/site-packages
[run]
branch = true
parallel = true
concurrency =
thread
multiprocessing
source =
src/ocrmypdf
omit =
tests/spoof/*
[report]
exclude_lines =
pragma: no cover
def __repr__
raise AssertionError
raise NotImplementedError
if 0:
if False:
if __name__ == .__main__.:
-81
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# OCRmyPDF
#
FROM ubuntu:19.10 as base
FROM base as builder
ENV LANG=C.UTF-8
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential autoconf automake libtool \
libleptonica-dev \
zlib1g-dev \
python3 \
python3-distutils \
ca-certificates \
curl \
git
# Get the latest pip (Ubuntu version doesn't support manylinux2010)
RUN \
curl https://bootstrap.pypa.io/get-pip.py | python3
# Compile and install jbig2
# Needs libleptonica-dev, zlib1g-dev
RUN \
mkdir jbig2 \
&& curl -L https://github.com/agl/jbig2enc/archive/0.29.tar.gz | \
tar xz -C jbig2 --strip-components=1 \
&& cd jbig2 \
&& ./autogen.sh && ./configure && make && make install \
&& cd .. \
&& rm -rf jbig2
COPY . /app
WORKDIR /app
RUN pip3 install --no-cache-dir \
-r requirements/main.txt \
-r requirements/webservice.txt \
-r requirements/test.txt \
-r requirements/watcher.txt \
.
FROM base
ENV LANG=C.UTF-8
RUN apt-get update && apt-get install -y --no-install-recommends \
ghostscript \
img2pdf \
liblept5 \
libsm6 libxext6 libxrender-dev \
zlib1g \
pngquant \
python3 \
qpdf \
tesseract-ocr \
tesseract-ocr-chi-sim \
tesseract-ocr-deu \
tesseract-ocr-eng \
tesseract-ocr-fra \
tesseract-ocr-por \
tesseract-ocr-spa \
unpaper
WORKDIR /app
COPY --from=builder /usr/local/lib/ /usr/local/lib/
COPY --from=builder /usr/local/bin/ /usr/local/bin/
COPY --from=builder /app/misc/webservice.py /app/
COPY --from=builder /app/misc/watcher.py /app/
# Copy minimal project files to get the test suite.
COPY --from=builder /app/setup.cfg /app/setup.py /app/README.md /app/
COPY --from=builder /app/requirements /app/requirements
COPY --from=builder /app/tests /app/tests
COPY --from=builder /app/src /app/src
ENTRYPOINT ["/usr/local/bin/ocrmypdf"]
-25
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*.ipynb
*.pdf
*.pyc
*.rst
*.sublime*
**/*.pyc
.*/
!.git/
.ruffus_history.sqlite
bin/
build/
docs/
dist/
htmlcov/
include/
lib/
MANIFEST.in
ocrmypdf.egg-info/
staging/
tests/cache/
tests/output/
tests/resources/private/
tmp/
venv*/
wheelhouse/
-1
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@@ -1 +0,0 @@
ref-names: $Format:%D$
-14
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# Always use Unix convention for new lines
* text eol=lf
# These files are binary and should be left untouched
# (binary is a macro for -text -diff)
*.jar binary
*.pdf binary
*.PDF binary
*.png binary
*.jpg binary
*.bin binary
*.afdesign binary
.git_archival.txt export-subst
-12
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# These are supported funding model platforms
github: # Replace with up to 4 GitHub Sponsors-enabled usernames e.g., [user1, user2]
patreon: # Replace with a single Patreon username
open_collective: james-barlow
ko_fi: # Replace with a single Ko-fi username
tidelift: # Replace with a single Tidelift platform-name/package-name e.g., npm/babel
community_bridge: # Replace with a single Community Bridge project-name e.g., cloud-foundry
liberapay: # Replace with a single Liberapay username
issuehunt: # Replace with a single IssueHunt username
otechie: # Replace with a single Otechie username
custom: # Replace with up to 4 custom sponsorship URLs e.g., ['link1', 'link2']
-33
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**Describe the issue**
A clear and concise description of what the issue is.
**To Reproduce**
What command line were you trying to run?
```bash
ocrmypdf ...arguments... input.pdf output.pdf
```
**Example file**
Please include an example *input* PDF (or image). The input file is more helpful.
Please check any or all that apply about the test file:
- [ ] This is the input file
- [ ] The file contains no personal or confidential information
- [ ] I am the copyright holder for this file
- [ ] I permit this file to be included in the OCRmyPDF test suite under the CC-BY-SA 4.0 license
- [ ] I am not the copyright holder, but this file is available under a free software license
Files that are not free for inclusion in this project are quite welcome, but we like to collect free files for our test suite when possible. Please do *not* submit files with confidential information. At your option you may encrypt files for OCRmyPDF's author only.
**Expected behavior**
A clear and concise description of what you expected to happen. Include screenshots if applicable.
**System:**
- OS: [e.g. Linux, macOS]
- OCRmyPDF Version: [e.g. v7.4.0]
**Additional context**
Add any other context about the problem here.
-47
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# Development environment
.bash_history
.pylintrc
.pytest_cache/
.ruffus_history.sqlite
.venv*/
*.pyc
*.sublime-*
*.DS_Store
.mypy_cache/
# Package building
.eggs/
*.egg-info/
build/
dist/
wheelhouse/
pip-wheel-metadata/
# Automatically generated files
docs/_build/
docs/_static/
docs/_templates/
docs/Makefile
ocrmypdf/lib/_*.py
# Code coverage
.coverage*
htmlcov/
# Testing
.ipynb_checkpoints/
.vscode/
*.ipynb
*.profile
/*.pdf
/*.qdf
/*.png
/scratch.py
IDEAS
log/
tests/output/
tests/resources/private/
tmp/
/debug_tests.py
*.traineddata
/private
-23
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repos:
- repo: https://github.com/pre-commit/pre-commit-hooks
rev: v2.4.0
hooks:
- id: check-case-conflict
- id: check-merge-conflict
- id: check-toml
- id: check-yaml
- id: debug-statements
- repo: https://github.com/asottile/seed-isort-config
rev: v1.9.3
hooks:
- id: seed-isort-config
- repo: https://github.com/pre-commit/mirrors-isort
rev: v4.3.21 # pick the isort version you'd like to use from https://github.com/pre-commit/mirrors-isort/releases
hooks:
- id: isort
- repo: https://github.com/psf/black
rev: stable
hooks:
- id: black
language_version: python3.7
exclude: ^src/ocrmypdf/lib/_leptonica.py
-10
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@@ -1,10 +0,0 @@
build:
image: latest
python:
version: 3.6
formats:
- pdf
requirements_file: requirements/main.txt
+29
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@@ -0,0 +1,29 @@
language: generic
sudo: required
dist: trusty
before_install:
- sudo add-apt-repository ppa:heyarje/libav-11 -y
- sudo add-apt-repository ppa:alex-p/tesseract-ocr -y
- sudo add-apt-repository ppa:evl.ms/evil -y # for a newer version (2.5.0) of pngquant
- sudo apt-get update -qq
- sudo apt-get install libleptonica-dev -y # required to build jbig2enc
- sudo apt-get install zlib1g-dev -y # required to build jbig2enc
# - sudo apt-get install imagemagick -y # required to convert logo to desktop icon
script:
- export OCRMYPDF_VERSION=8.3.2
- bash build-appimage.sh
# remove previous installed libraries to ensure that the tests use the libraries of the AppImage
- sudo apt-get remove libleptonica-dev zlib1g-dev -y
- bash test/test-appimage.sh
- wget https://github.com/probonopd/uploadtool/raw/master/upload.sh
after_success:
- bash upload.sh OCRmyPDF*.AppImage
branches:
except:
# Do not build tags that we create when we upload to GitHub Releases
- /^(?i:continuous)/
-674
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@@ -1,674 +0,0 @@
GNU GENERAL PUBLIC LICENSE
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END OF TERMS AND CONDITIONS
How to Apply These Terms to Your New Programs
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possible use to the public, the best way to achieve this is to make it
free software which everyone can redistribute and change under these terms.
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to attach them to the start of each source file to most effectively
state the exclusion of warranty; and each file should have at least
the "copyright" line and a pointer to where the full notice is found.
<one line to give the program's name and a brief idea of what it does.>
Copyright (C) <year> <name of author>
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it under the terms of the GNU General Public License as published by
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(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
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along with this program. If not, see <https://www.gnu.org/licenses/>.
Also add information on how to contact you by electronic and paper mail.
If the program does terminal interaction, make it output a short
notice like this when it starts in an interactive mode:
<program> Copyright (C) <year> <name of author>
This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
This is free software, and you are welcome to redistribute it
under certain conditions; type `show c' for details.
The hypothetical commands `show w' and `show c' should show the appropriate
parts of the General Public License. Of course, your program's commands
might be different; for a GUI interface, you would use an "about box".
You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU GPL, see
<https://www.gnu.org/licenses/>.
The GNU General Public License does not permit incorporating your program
into proprietary programs. If your program is a subroutine library, you
may consider it more useful to permit linking proprietary applications with
the library. If this is what you want to do, use the GNU Lesser General
Public License instead of this License. But first, please read
<https://www.gnu.org/licenses/why-not-lgpl.html>.
+34 -146
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@@ -1,152 +1,40 @@
<img src="docs/images/logo.svg" width="240" alt="OCRmyPDF">
# OCRmyPDF-AppImage [![Build Status](https://travis-ci.com/FPille/OCRmyPDF-AppImage.svg?branch=master)](https://travis-ci.com/FPille/OCRmyPDF-AppImage)
[AppImage][APPIMAGE] for [OCRmyPDF][OCRMYPDF]
[![Build Status][azure]](https://dev.azure.com/jim0585/ocrmypdf/_build/latest?definitionId=2&branchName=master) [![PyPI version][pypi]](https://pypi.org/project/ocrmypdf/) ![Homebrew version][homebrew] ![ReadTheDocs][docs] ![Python versions][pyversions]
## Usage
Download OCRmyPDF*.AppImage, make it executable and run it.
```
wget https://github.com/FPille/OCRmyPDF-AppImage/releases/download/continuous/OCRmyPDF-8.3.2-x86_64.AppImage
chmod +x OCRmyPDF*.AppImage
./OCRmyPDF*.AppImage --help
```
Beside OCRmyPDF additional command line programs can be run with this AppImage like:
* ghostscript
* img2pdf
* pngquant
* python3.6
* qpdf
* tesseract
* unpaper
[azure]: https://dev.azure.com/jim0585/ocrmypdf/_apis/build/status/jbarlow83.OCRmyPDF?branchName=master
[travis]: https://travis-ci.org/jbarlow83/OCRmyPDF.svg?branch=master "Travis build status"
[pypi]: https://img.shields.io/pypi/v/ocrmypdf.svg "PyPI version"
[homebrew]: https://img.shields.io/homebrew/v/ocrmypdf.svg "Homebrew version"
[docs]: https://readthedocs.org/projects/ocrmypdf/badge/?version=latest "RTD"
[pyversions]: https://img.shields.io/pypi/pyversions/ocrmypdf "Supported Python versions"
OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched or copy-pasted.
```bash
ocrmypdf # it's a scriptable command line program
-l eng+fra # it supports multiple languages
--rotate-pages # it can fix pages that are misrotated
--deskew # it can deskew crooked PDFs!
--title "My PDF" # it can change output metadata
--jobs 4 # it uses multiple cores by default
--output-type pdfa # it produces PDF/A by default
input_scanned.pdf # takes PDF input (or images)
output_searchable.pdf # produces validated PDF output
Just use the program name as first parameter plus options:
```
./OCRmyPDF*.AppImage tesseract -v
tesseract 4.1.0
leptonica-1.76.0
libjpeg 8d (libjpeg-turbo 1.3.0) : libpng 1.2.50 : libtiff 4.0.3 : zlib 1.2.11 : libwebp 0.4.0 : libopenjp2 2.3.0
Found AVX2
Found AVX
Found SSE
```
Or create a symlink for the corresponding program:
```
ln -s OCRmyPDF*.AppImage tesseract
./tesseract --list-langs
```
[See the release notes for details on the latest changes](https://ocrmypdf.readthedocs.io/en/latest/release_notes.html).
Main features
-------------
[APPIMAGE]: https://appimage.org
[OCRMYPDF]: https://github.com/jbarlow83/OCRmyPDF
- Generates a searchable [PDF/A](https://en.wikipedia.org/?title=PDF/A) file from a regular PDF
- Places OCR text accurately below the image to ease copy / paste
- Keeps the exact resolution of the original embedded images
- When possible, inserts OCR information as a "lossless" operation without disrupting any other content
- Optimizes PDF images, often producing files smaller than the input file
- If requested, deskews and/or cleans the image before performing OCR
- Validates input and output files
- Distributes work across all available CPU cores
- Uses [Tesseract OCR](https://github.com/tesseract-ocr/tesseract) engine to recognize more than [100 languages](https://github.com/tesseract-ocr/tessdata)
- Scales properly to handle files with thousands of pages
- Battle-tested on millions of PDFs
For details: please consult the [documentation](https://ocrmypdf.readthedocs.io/en/latest/).
Motivation
----------
I searched the web for a free command line tool to OCR PDF files: I found many, but none of them were really satisfying:
- Either they produced PDF files with misplaced text under the image (making copy/paste impossible)
- Or they did not handle accents and multilingual characters
- Or they changed the resolution of the embedded images
- Or they generated ridiculously large PDF files
- Or they crashed when trying to OCR
- Or they did not produce valid PDF files
- On top of that none of them produced PDF/A files (format dedicated for long time storage)
...so I decided to develop my own tool.
Installation
------------
Linux, Windows, macOS and FreeBSD are supported. Docker images are also available.
Users of Debian 9 or later or Ubuntu 16.10 or later may simply
```bash
apt-get install ocrmypdf
```
and users of Fedora 29 or later may simply
```bash
dnf install ocrmypdf
```
and Homebrew users (macOS, Linux, Windows Subsystem for Linux) may simply
```bash
brew install ocrmypdf
```
For everyone else, [see our documentation](https://ocrmypdf.readthedocs.io/en/latest/installation.html) for installation steps.
Languages
---------
OCRmyPDF uses Tesseract for OCR, and relies on its language packs. For Linux users, you can often find packages that provide language packs:
```bash
# Display a list of all Tesseract language packs
apt-cache search tesseract-ocr
# Debian/Ubuntu users
apt-get install tesseract-ocr-chi-sim # Example: Install Chinese Simplified language pack
# Arch Linux users
pacman -S tesseract-data-eng tesseract-data-deu # Example: Install the English and German language packs
```
You can then pass the `-l LANG` argument to OCRmyPDF to give a hint as to what languages it should search for. Multiple languages can be requested.
Documentation and support
-------------------------
Once OCRmyPDF is installed, the built-in help which explains the command syntax and options can be accessed via:
```bash
ocrmypdf --help
```
Our [documentation is served on Read the Docs](https://ocrmypdf.readthedocs.io/en/latest/index.html).
Please report issues on our [GitHub issues](https://github.com/jbarlow83/OCRmyPDF/issues) page, and follow the issue template for quick response.
Requirements
------------
In addition to the required Python version (3.6+), OCRmyPDF requires external program installations of Ghostscript, Tesseract OCR, QPDF, and Leptonica. OCRmyPDF is pure Python, but uses CFFI to portably generate library bindings. OCRmyPDF works on pretty much everything: Linux, macOS, Windows and FreeBSD.
Press & Media
-------------
- [Going paperless with OCRmyPDF](https://medium.com/@ikirichenko/going-paperless-with-ocrmypdf-e2f36143f46a)
- [Converting a scanned document into a compressed searchable PDF with redactions](https://medium.com/@treyharris/converting-a-scanned-document-into-a-compressed-searchable-pdf-with-redactions-63f61c34fe4c)
- [c't 1-2014, page 59](https://heise.de/-2279695): Detailed presentation of OCRmyPDF v1.0 in the leading German IT magazine c't
- [heise Open Source, 09/2014: Texterkennung mit OCRmyPDF](https://heise.de/-2356670)
- [heise Durchsuchbare PDF-Dokumente mit OCRmyPDF erstellen](https://www.heise.de/ratgeber/Durchsuchbare-PDF-Dokumente-mit-OCRmyPDF-erstellen-4607592.html)
Business enquiries
------------------
OCRmyPDF would not be the software that it is today without companies and users choosing to provide support for feature development and consulting enquiries. We are happy to discuss all enquiries, whether for extending the existing feature set, or integrating OCRmyPDF into a larger system.
License
-------
The OCRmyPDF software is licensed under the GNU GPLv3. Certain files are covered by other licenses, as noted in their source files.
The license for each test file varies, and is noted in tests/resources/README.rst. The documentation is licensed under Creative Commons Attribution-ShareAlike 4.0 (CC-BY-SA 4.0).
OCRmyPDF versions prior to 6.0 were distributed under the MIT License.
Disclaimer
----------
The software is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+105
View File
@@ -0,0 +1,105 @@
#! /bin/bash
HERE="$(dirname "$(readlink -f "${0}")")"
export PATH="$HERE/usr/bin:$HERE/usr/local/bin:$HERE/usr/python/bin:$PATH"
export LD_PRELOAD="$HERE/usr/lib/liblept.so.5"
export LD_LIBRARY_PATH="$HERE/usr/lib:$HERE/usr/lib/x86_64-linux-gnu:$LD_LIBRARY_PATH"
export TESSDATA_PREFIX="$HERE/usr/share/tesseract-ocr/4.00/tessdata"
export GS_LIB="$HERE/usr/share/ghostscript/9.26/lib:$HERE/usr/share/ghostscript/9.26/Resource:$HERE/usr/share/ghostscript/9.26/Resource/Init"
# Allow the AppImage to be symlinked to e.g., /usr/bin/commandname
# or called with ./Some*.AppImage commandname ...
# refer to https://github.com/AppImage/AppImageKit/wiki/Bundling-command-line-tools
if [ ! -z "$APPIMAGE" ] ; then
BINARY_NAME=$(basename "$ARGV0")
else
BINARY_NAME=$(basename "$0")
export APPDIR="$HERE" # required for the wrapper scripts of linuxdeploy-plugin-python
fi
usage() {
echo "
==============================================================================
AppImage for OCRmyPDF
==============================================================================
OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be
searched or copy-pasted.
usage:
$ARGV0 [ocrmypdf] [--help] [--list-programs]
[--list-licenses] [--show-license]
ocrmypdf execute OCRmyPDF
--help show this help message
--list-programs list all programs contained in this AppImage
--list-licenses list all licenses contained in this AppImage
--show-license [LICENSE] show content of license file
"
}
if [ "$1" == "--help" ] ; then
usage
exit $?
fi
if [ "$1" == "--list-programs" ] ; then
pushd "$HERE"
echo ""
echo "Run \"$ARGV0\" with one of the following arguments to run the respective program."
echo ""
find . -type f -perm /111 ! -path '*/lib/*' -execdir basename {} ";" | sort -u | column
echo ""
exit $?
fi
if [ "$1" == "--list-licenses" ] ; then
pushd "$HERE"
echo ""
echo "Run \"$ARGV0\" with one of the following arguments to display the respective license file."
echo ""
find . -type f \( ! -path '*/tesseract-ocr-*' -o -path '*/tesseract-ocr-eng/*' \) \
\( -iname "license*" -o -iname "*copyright*" -o -iname "*copying*" \) -printf "--show-license %P\n" | sort | column
echo ""
exit $?
fi
if [ "$1" == "--show-license" ] ; then
pushd "$HERE"
shift
if [ -f "$1" ] ; then
less -N "$1"
exit $?
else
echo "\"$1\" is not a valid license file path."
exit 1
fi
fi
if [ ! -z "$1" ] && [ -e "$HERE/bin/$1" ] ; then
MAIN="$HERE/bin/$1" ; shift
elif [ ! -z "$1" ] && [ -e "$HERE/usr/bin/$1" ] ; then
MAIN="$HERE/usr/bin/$1" ; shift
elif [ ! -z "$1" ] && [ -e "$HERE/usr/python/bin/$1" ] ; then
MAIN="$HERE/usr/python/bin/$1" ; shift
elif [ ! -z "$1" ] && [ -e "$HERE/usr/local/bin/$1" ] ; then
MAIN="$HERE/usr/local/bin/$1" ; shift
elif [ -e "$HERE/bin/$BINARY_NAME" ] ; then
MAIN="$HERE/bin/$BINARY_NAME"
elif [ -e "$HERE/usr/bin/$BINARY_NAME" ] ; then
MAIN="$HERE/usr/bin/$BINARY_NAME"
elif [ -e "$HERE/usr/python/bin/$BINARY_NAME" ] ; then
MAIN="$HERE/usr/python/bin/$BINARY_NAME"
elif [ -e "$HERE/usr/local/bin/$BINARY_NAME" ] ; then
MAIN="$HERE/usr/local/bin/$BINARY_NAME"
else
usage
exit $?
fi
exec "${MAIN}" "$@"
-251
View File
@@ -1,251 +0,0 @@
trigger:
tags:
include:
- v*
branches:
include:
- "*"
exclude:
- "travis"
stages:
- stage: "Test"
jobs:
- job: Windows
pool:
vmImage: "vs2017-win2016"
strategy:
matrix:
Python36:
python.version: "3.6"
Python37:
python.version: "3.7"
Python38:
python.version: "3.8"
steps:
- task: UsePythonVersion@0
inputs:
versionSpec: "$(python.version)"
- pwsh: |
choco install --yes --no-progress --pre tesseract
choco install --yes --no-progress python3
choco install --yes --no-progress ghostscript
choco install --yes --no-progress pngquant
displayName: "Install system packages"
- pwsh: |
refreshenv
python -m pip install --upgrade pip wheel
python -m pip install -r requirements/main.txt -r requirements/test.txt .
displayName: "Install Python packages"
- pwsh: |
refreshenv
$env:pathext += ';.py'
# -n auto helps Windows
python -m pytest -n auto --junitxml=test.xml --cov=ocrmypdf --cov-report=xml
displayName: "Test"
- task: PublishTestResults@2
inputs:
testResultsFiles: "test.xml"
testRunTitle: "$(Agent.OS) - $(Build.DefinitionName) - Python $(python.version)"
condition: succeededOrFailed()
- job: "Ubuntu_1804"
pool:
vmImage: "ubuntu-18.04"
strategy:
matrix:
Python36:
python.version: "3.6"
Python37:
python.version: "3.7"
Python38:
python.version: "3.8"
steps:
- task: UsePythonVersion@0
inputs:
versionSpec: "$(python.version)"
- bash: |
sudo apt-get update
sudo apt-get install -y --no-install-recommends \
python3-software-properties \
curl \
ghostscript \
img2pdf \
libexempi3 \
libffi-dev \
liblept5 \
libsm6 libxext6 libxrender-dev \
pngquant \
poppler-utils \
tesseract-ocr \
tesseract-ocr-deu \
tesseract-ocr-eng \
unpaper \
zlib1g
displayName: "Install system packages"
- bash: |
curl https://bootstrap.pypa.io/get-pip.py | python3
pip3 install -r requirements/main.txt -r requirements/test.txt .
displayName: "Install Python packages"
- bash: |
tesseract --version
displayName: "Record versions"
- bash: |
# -n auto is slower on Linux and breaks on Python 3.8
pytest -n0 --junitxml=test.xml --cov=ocrmypdf --cov-report=xml
displayName: "Test"
- task: PublishTestResults@2
inputs:
testResultsFiles: "test.xml"
testRunTitle: "$(Agent.OS) - $(Build.DefinitionName) - Python $(python.version)"
condition: succeededOrFailed()
- job: "Ubuntu_1604"
pool:
vmImage: "ubuntu-16.04"
strategy:
matrix:
Python36:
python.version: "3.6"
steps:
- task: UsePythonVersion@0
inputs:
versionSpec: "$(python.version)"
- bash: |
sudo apt-get update
sudo apt-get install -y --no-install-recommends \
software-properties-common
sudo add-apt-repository -y ppa:alex-p/tesseract-ocr
sudo apt-get update
sudo apt-get install -y --no-install-recommends \
ghostscript \
img2pdf \
libexempi3 \
libffi-dev \
liblept5 \
libsm6 libxext6 libxrender-dev \
pngquant \
poppler-utils \
tesseract-ocr \
tesseract-ocr-deu \
tesseract-ocr-eng \
unpaper \
zlib1g
displayName: "Install system packages"
- bash: |
curl https://bootstrap.pypa.io/get-pip.py | python3
pip3 install -r requirements/main.txt -r requirements/test.txt .
displayName: "Install Python packages"
- bash: |
tesseract --version
displayName: "Record versions"
- bash: |
# -n auto is slower on Linux and breaks on Python 3.8
pytest -n0 --junitxml=test.xml --cov=ocrmypdf --cov-report=xml
displayName: "Test"
- task: PublishTestResults@2
inputs:
testResultsFiles: "test.xml"
testRunTitle: "$(Agent.OS) - $(Build.DefinitionName) - Python $(python.version)"
condition: succeededOrFailed()
- job: "macOS_Mojave"
pool:
vmImage: "macos-10.14"
strategy:
matrix:
Python37:
python.version: "3.7"
Python38:
python.version: "3.8"
steps:
- task: UsePythonVersion@0
inputs:
versionSpec: "$(python.version)"
- bash: |
brew update
brew unlink python@2
brew install \
exempi \
ghostscript \
jbig2enc \
leptonica \
openjpeg \
pngquant \
tesseract \
unpaper
displayName: "Install system packages"
- bash: |
pip3 install --upgrade pip
pip3 install -r requirements/main.txt -r requirements/test.txt .
displayName: "Install Python packages"
- bash: |
tesseract --version
displayName: "Record versions"
- bash: pytest -nauto --junitxml=test.xml --cov=ocrmypdf --cov-report=xml
displayName: "Test"
- task: PublishTestResults@2
inputs:
testResultsFiles: "test.xml"
testRunTitle: "$(Agent.OS) - $(Build.DefinitionName) - Python $(python.version)"
condition: succeededOrFailed()
- task: PublishCodeCoverageResults@1
inputs:
codeCoverageTool: Cobertura
summaryFileLocation: "$(System.DefaultWorkingDirectory)/**/coverage.xml"
- stage: "Artifacts"
jobs:
- job: "sdist_wheel"
pool:
vmImage: "ubuntu-18.04"
steps:
- task: UsePythonVersion@0
inputs:
versionSpec: "3.7"
- bash: |
python -m pip install --upgrade pip wheel
python setup.py sdist bdist_wheel
- publish: dist
artifact: sdist_wheel
- stage: "Deploy"
jobs:
- deployment: "PyPI"
pool:
vmImage: "ubuntu-18.04"
environment: "deploy"
strategy:
runOnce:
deploy:
steps:
- download: current
artifact: sdist_wheel
- script: |
mkdir -p dist
mv $(Pipeline.Workspace)/sdist_wheel/* dist
displayName: "Move dist files"
- task: UsePythonVersion@0
inputs:
versionSpec: "3.8"
architecture: x64
- script: |
pip install --upgrade twine
displayName: "Generate artifacts"
- script: |
cat <<FILE >.pypirc
[distutils]
index-servers =
pypi
[pypi]
username: __token__
password: $(TOKEN_PYPI)
FILE
displayName: "Generate PyPI auth file"
- script: |
python -m twine upload --config-file .pypirc dist/*
displayName: "Upload to PyPI"
condition: and(succeeded(), startsWith(variables['Build.SourceBranch'], 'refs/tags/'))
- script: |
curl -X POST -d "token=$(TOKEN_RTD)" https://readthedocs.org/api/v2/webhook/pikepdf/39557/
displayName: "Trigger ReadTheDocs"
condition: and(succeeded(), or(startsWith(variables['Build.SourceBranch'], 'refs/tags/'), startsWith(variables['Build.SourceBranch'], 'refs/heads/master')))
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#! /bin/bash
set -x
set -e
# use RAM disk if possible
if [ "$CI" == "" ] && [ -d /dev/shm ]; then
TEMP_BASE=/dev/shm
else
TEMP_BASE=/tmp
fi
BUILD_DIR=$(mktemp -d -p "$TEMP_BASE" OCRmyPDF-AppImage-build-XXXXXX)
cleanup () {
if [ -d "$BUILD_DIR" ]; then
rm -rf "$BUILD_DIR"
fi
}
trap cleanup EXIT
# store repo root as variable
REPO_ROOT=$(readlink -f "$(dirname "$(dirname "$0")")")
OLD_CWD=$(readlink -f .)
pushd "$BUILD_DIR"
mkdir -p AppDir
mkdir -p PackageDir
mkdir -p jbig2
# download linuxdeploy AppImage and linuxdeploy-plugin-python AppImage
wget https://github.com/TheAssassin/linuxdeploy/releases/download/continuous/linuxdeploy-x86_64.AppImage
# wget https://github.com/niess/linuxdeploy-plugin-python/releases/download/continuous/linuxdeploy-plugin-python-x86_64.AppImage
# use adapted linuxdeploy-plugin-python instead of the original one (otherwise OCRmyPDF breaks)
wget https://github.com/FPille/linuxdeploy-plugin-python/releases/download/continuous/linuxdeploy-plugin-python-x86_64.AppImage
chmod +x linuxdeploy*.AppImage
ARCH=$(uname -i)
export ARCH
# .desktop file
cat > ocrmypdf.desktop <<\EOF
[Desktop Entry]
Name=ocrmypdf
Type=Application
Exec=ocrmypdf
Icon=ocrmypdf
Terminal=true
Comment=OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
Categories=Graphics;Scanning;OCR;
EOF
# download logo and convert it to desktop icon
# requires Imagemagick (convert)
wget https://raw.githubusercontent.com/jbarlow83/OCRmyPDF/master/docs/images/logo-social.png
convert logo-social.png -resize 512x512\> -size 512x512 xc:white +swap -gravity center -composite ocrmypdf.png
# download and intsall packages required by OCRmyPDF
pushd PackageDir
packages=(tesseract-ocr tesseract-ocr-all libavformat56 ghostscript qpdf pngquant)
for i in "${packages[@]}"
do
apt-get -d -o dir::cache="$PWD" -o Debug::NoLocking=1 --reinstall install "$i" -y
done
wget -q 'https://www.dropbox.com/s/vaq0kbwi6e6au80/unpaper_6.1-1.deb?raw=1' -O unpaper_6.1-1.deb
find . -type f -name \*.deb -exec dpkg-deb -X {} "$BUILD_DIR"/AppDir \;
popd
# compile and install jbig2
# requires libleptonica-dev, zlib1g-dev
wget -q https://github.com/agl/jbig2enc/archive/0.29.tar.gz -O - | \
tar xz -C jbig2 --strip-components=1
pushd jbig2
./autogen.sh
./configure --prefix="$BUILD_DIR"/AppDir/usr
make && make install
popd
pushd "$BUILD_DIR"/AppDir
# add some tools to AppDir
#cp -f /usr/bin/column ./usr/bin/
#cp -f /bin/less ./usr/bin/
# remove unnecessary data from AppDir
[ -d bin ] && rm -rf ./bin
[ -d etc ] && rm -rf ./etc
[ -d var ] && rm -rf ./var
popd
# export LD_LIBRARY_PATH so that dependencies of shared libraries can be deployed by linuxdeploy-x86_64.AppImage
export LD_LIBRARY_PATH="$BUILD_DIR/AppDir/usr/lib:$BUILD_DIR/AppDir/usr/lib/x86_64-linux-gnu:$LD_LIBRARY_PATH"
#OCRMYPDF_VERSION=8.3.2 # exported in .travis.yml file
export PIP_REQUIREMENTS="ocrmypdf==$OCRMYPDF_VERSION"
export VERSION="$OCRMYPDF_VERSION"
export OUTPUT=OCRmyPDF-"$VERSION"-"$ARCH".AppImage
export PYTHON_SOURCE=https://www.python.org/ftp/python/3.6.8/Python-3.6.8.tgz
./linuxdeploy-x86_64.AppImage --appdir AppDir --plugin python \
-d ocrmypdf.desktop -i ocrmypdf.png \
--custom-apprun "$REPO_ROOT"/appimage/AppRun.sh --output appimage
# move AppImage back to old CWD
mv "$OUTPUT" "$OLD_CWD"/
popd
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=================
Advanced features
=================
Control of unpaper
==================
OCRmyPDF uses ``unpaper`` to provide the implementation of the
``--clean`` and ``--clean-final`` arguments.
`unpaper <https://github.com/Flameeyes/unpaper/blob/master/doc/basic-concepts.md>`__
provides a variety of image processing filters to improve images.
By default, OCRmyPDF uses only ``unpaper`` arguments that were found to
be safe to use on almost all files without having to inspect every page
of the file afterwards. This is particularly true when only ``--clean``
is used, since that instructs OCRmyPDF to only clean the image before
OCR and not the final image.
However, if you wish to use the more aggressive options in ``unpaper``,
you may use ``--unpaper-args '...'`` to override the OCRmyPDF's defaults
and forward other arguments to unpaper. This option will forward
arguments to ``unpaper`` without any knowledge of what that program
considers to be valid arguments. The string of arguments must be quoted
as shown in the examples below. No filename arguments may be included.
OCRmyPDF will assume it can append input and output filename of
intermediate images to the ``--unpaper-args`` string.
In this example, we tell ``unpaper`` to expect two pages of text on a
sheet (image), such as occurs when two facing pages of a book are
scanned. ``unpaper`` uses this information to deskew each independently
and clean up the margins of both.
.. code-block:: bash
ocrmypdf --clean --clean-final --unpaper-args '--layout double' input.pdf output.pdf
ocrmypdf --clean --clean-final --unpaper-args '--layout double --no-noisefilter' input.pdf output.pdf
.. warning::
Some ``unpaper`` features will reposition text within the image.
``--clean-final`` is recommended to avoid this issue.
.. warning::
Some ``unpaper`` features cause multiple input or output files to be
consumed or produced. OCRmyPDF requires ``unpaper`` to consume one
file and produce one file. An deviation from that condition will
result in errors.
.. note::
``unpaper`` uses uncompressed PBM/PGM/PPM files for its intermediate
files. For large images or documents, it can take a lot of temporary
disk space.
Control of OCR options
======================
OCRmyPDF provides many features to control the behavior of the OCR
engine, Tesseract.
When OCR is skipped
-------------------
If a page in a PDF seems to have text, by default OCRmyPDF will exit
without modifying the PDF. This is to ensure that PDFs that were
previously OCRed or were "born digital" rather than scanned are not
processed.
If ``--skip-text`` is issued, then no OCR will be performed on pages
that already have text. The page will be copied to the output. This may
be useful for documents that contain both "born digital" and scanned
content, or to use OCRmyPDF to normalize and convert to PDF/A regardless
of their contents.
If ``--redo-ocr`` is issued, then a detailed text analysis is performed.
Text is categorized as either visible or invisible. Invisible text (OCR)
is stripped out. Then an image of each page is created with visible text
masked out. The page image is sent for OCR, and any additional text is
inserted as OCR. If a file contains a mix of text and bitmap images that
contain text, OCRmyPDF will locate the additional text in images without
disrupting the existing text.
If ``--force-ocr`` is issued, then all pages will be rasterized to
images, discarding any hidden OCR text, and rasterizing any printable
text. This is useful for redoing OCR, for fixing OCR text with a damaged
character map (text is selectable but not searchable), and destroying
redacted information. Any forms and vector graphics will be rasterized
as well.
Time and image size limits
--------------------------
By default, OCRmyPDF permits tesseract to run for three minutes (180
seconds) per page. This is usually more than enough time to find all
text on a reasonably sized page with modern hardware.
If a page is skipped, it will be inserted without OCR. If preprocessing
was requested, the preprocessed image layer will be inserted.
If you want to adjust the amount of time spent on OCR, change
``--tesseract-timeout``. You can also automatically skip images that
exceed a certain number of megapixels with ``--skip-big``. (A 300 DPI,
8.5×11" page is 8.4 megapixels.)
.. code-block:: bash
# Allow 300 seconds for OCR; skip any page larger than 50 megapixels
ocrmypdf --tesseract-timeout 300 --skip-big 50 bigfile.pdf output.pdf
Overriding default tesseract
----------------------------
OCRmyPDF checks the system ``PATH`` for the ``tesseract`` binary.
Some relevant environment variables that influence Tesseract's behavior
include:
.. envvar:: TESSDATA_PREFIX
Overrides the path to Tesseract's data files. This can allow
simultaneous installation of the "best" and "fast" training data
sets. OCRmyPDF does not manage this environment variable.
.. envvar:: OMP_THREAD_LIMIT
Controls the number of threads Tesseract will use. OCRmyPDF will
manage this environment if it is not already set. (Currently, it will
set it to 1 because this gives the best results in testing.)
For example, if you have a development build of Tesseract don't wish to
use the system installation, you can launch OCRmyPDF as follows:
.. code-block:: bash
env \
PATH=/home/user/src/tesseract/api:$PATH \
TESSDATA_PREFIX=/home/user/src/tesseract \
ocrmypdf input.pdf output.pdf
In this example ``TESSDATA_PREFIX`` is required to redirect Tesseract to
an alternate folder for its "tessdata" files.
Overriding other support programs
---------------------------------
In addition to tesseract, OCRmyPDF uses the following external binaries:
- ``gs`` (Ghostscript)
- ``unpaper``
- ``qpdf``
In each case OCRmyPDF will search the ``PATH`` environment variable to
locate the binaries.
Changing tesseract configuration variables
------------------------------------------
You can override tesseract's default `control
parameters <https://github.com/tesseract-ocr/tesseract/wiki/ControlParams>`__
with a configuration file.
As an example, this configuration will disable Tesseract's dictionary
for current language. Normally the dictionary is helpful for
interpolating words that are unclear, but it may interfere with OCR if
the document does not contain many words (for example, a list of part
numbers).
Create a file named "no-dict.cfg" with these contents:
::
load_system_dawg 0
language_model_penalty_non_dict_word 0
language_model_penalty_non_freq_dict_word 0
then run ocrmypdf as follows (along with any other desired arguments):
.. code-block:: bash
ocrmypdf --tesseract-config no-dict.cfg input.pdf output.pdf
.. warning::
Some combinations of control parameters will break Tesseract or break
assumptions that OCRmyPDF makes about Tesseract's output.
Changing the PDF renderer
=========================
rasterizing
Converting a PDF to an image for display.
rendering
Creating a new PDF from other data (such as an existing PDF).
OCRmyPDF has these PDF renderers: ``sandwich`` and ``hocr``. The
renderer may be selected using ``--pdf-renderer``. The default is
``auto`` which lets OCRmyPDF select the renderer to use. Currently,
``auto`` always selects ``sandwich``.
The ``sandwich`` renderer
-------------------------
The ``sandwich`` renderer uses Tesseract's new text-only PDF feature,
which produces a PDF page that lays out the OCR in invisible text. This
page is then "sandwiched" onto the original PDF page, allowing lossless
application of OCR even to PDF pages that contain other vector objects.
Currently this is the best renderer for most uses, however it is
implemented in Tesseract so OCRmyPDF cannot influence it. Currently some
problematic PDF viewers like Mozilla PDF.js and macOS Preview have
problems with segmenting its text output, and
mightrunseveralwordstogether.
When image preprocessing features like ``--deskew`` are used, the
original PDF will be rendered as a full page and the OCR layer will be
placed on top.
The ``hocr`` renderer
---------------------
The ``hocr`` renderer works with older versions of Tesseract. The image
layer is copied from the original PDF page if possible, avoiding
potentially lossy transcoding or loss of other PDF information. If
preprocessing is specified, then the image layer is a new PDF.
Unlike ``sandwich`` this renderer is implemented within OCRmyPDF; anyone
looking to customize how OCR is presented should look here. A major
disadvantage of this renderer is it not capable of correctly handling
text outside the Latin alphabet. Pull requests to improve the situation
are welcome.
Currently, this renderer has the best compatibility with Mozilla's
PDF.js viewer.
This works in all versions of Tesseract.
The ``tesseract`` renderer
--------------------------
The ``tesseract`` renderer was removed. OCRmyPDF's new approach to text
layer grafting makes it functionally equivalent to ``sandwich``.
Return code policy
==================
OCRmyPDF writes all messages to ``stderr``. ``stdout`` is reserved for
piping output files. ``stdin`` is reserved for piping input files.
The return codes generated by the OCRmyPDF are considered part of the
stable user interface. They may be imported from
``ocrmypdf.exceptions``.
.. list-table:: Return codes
:widths: 5 35 60
:header-rows: 1
* - Code
- Name
- Interpretation
* - 0
- ``ExitCode.ok``
- Everything worked as expected.
* - 1
- ``ExitCode.bad_args``
- Invalid arguments, exited with an error.
* - 2
- ``ExitCode.input_file``
- The input file does not seem to be a valid PDF.
* - 3
- ``ExitCode.missing_dependency``
- An external program required by OCRmyPDF is missing.
* - 4
- ``ExitCode.invalid_output_pdf``
- An output file was created, but it does not seem to be a valid PDF. The file will be available.
* - 5
- ``ExitCode.file_access_error``
- The user running OCRmyPDF does not have sufficient permissions to read the input file and write the output file.
* - 6
- ``ExitCode.already_done_ocr``
- The file already appears to contain text so it may not need OCR. See output message.
* - 7
- ``ExitCode.child_process_error``
- An error occurred in an external program (child process) and OCRmyPDF cannot continue.
* - 8
- ``ExitCode.encrypted_pdf``
- The input PDF is encrypted. OCRmyPDF does not read encrypted PDFs. Use another program such as ``qpdf`` to remove encryption.
* - 9
- ``ExitCode.invalid_config``
- A custom configuration file was forwarded to Tesseract using ``--tesseract-config``, and Tesseract rejected this file.
* - 10
- ``ExitCode.pdfa_conversion_failed``
- A valid PDF was created, PDF/A conversion failed. The file will be available.
* - 15
- ``ExitCode.other_error``
- Some other error occurred.
* - 130
- ``ExitCode.ctrl_c``
- The program was interrupted by pressing Ctrl+C.
Debugging the intermediate files
================================
OCRmyPDF normally saves its intermediate results to a temporary folder
and deletes this folder when it exits, whether it succeeded or failed.
If the ``-k`` argument is issued on the command line, OCRmyPDF will keep
the temporary folder and print the location, whether it succeeded or
failed (provided the Python interpreter did not crash). An example
message is:
.. code-block:: none
Temporary working files retained at:
/tmp/com.github.ocrmypdf.u20wpz07
The organization of this folder is an implementation detail and subject
to change between releases. However the general organization is that
working files on a per page basis have the page number as a prefix
(starting with page 1), an infix indicates the processing stage, and a
suffix indicates the file type. Some important files include:
- ``_rasterize.png`` - what the input page looks like
- ``_ocr.png`` - the file that is sent to Tesseract for OCR; depending
on arguments this may differ from the presentation image
- ``_pp_deskew.png`` - the image, after deskewing
- ``_pp_clean.png`` - the image, after cleaning with unpaper
- ``_ocr_tess.pdf`` - the OCR file; appears as a blank page with invisible
text embedded
- ``_ocr_tess.txt`` - the OCR text (not necessarily all text on the page,
if the page is mixed format)
- ``fix_docinfo.pdf`` - a temporary file created to fix the PDF DocumentInfo
data structure
- ``graft_layers.pdf`` - the rendered PDF with OCR layers grafted on
- ``pdfa.pdf`` - ``graft_layers.pdf`` after conversion to PDF/A
- ``pdfa.ps`` - a PostScript file used by Ghostscript for PDF/A conversion
- ``optimize.pdf`` - the PDF generated before optimization
- ``optimize.out.pdf`` - the PDF generated by optimization
- ``origin`` - the input file
- ``origin.pdf`` - the input file or the input image converted to PDF
- ``images/*`` - images extracted during the optimization process; here
the prefix indicates a PDF object ID not a page number
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======================
Using the OCRmyPDF API
======================
OCRmyPDF originated as a command line program and continues to have this
legacy, but parts of it can be imported and used in other Python
applications.
Some applications may want to consider running ocrmypdf from a
subprocess call anyway, as this provides isolation of its activities.
Example
=======
OCRmyPDF one high-level function to run its main engine from an
application. The parameters are symmetric to the command line arguments
and largely have the same functions.
.. code-block:: python
import ocrmypdf
ocrmypdf.ocr('input.pdf', 'output.pdf', deskew=True)
With a few exceptions, all of the command line arguments are available
and may be passed as equivalent keywords.
A few differences are that ``verbose`` and ``quiet`` are not available.
Instead, output should be managed by configuring logging.
Parent process requirements
---------------------------
The :func:`ocrmypdf.ocr` function runs OCRmyPDF similar to command line
execution. To do this, it will:
- create a monitoring thread
- create worker processes (forking itself)
- manage the signal flags of worker processes
- execute other subprocesses (forking and executing other programs)
The Python process that calls ``ocrmypdf.ocr()`` must be sufficiently
privileged to perform these actions. If it is not, ``ocrmypdf()`` will
fail.
There is no currently no option to manage how jobs are scheduled other
than the argument ``jobs=`` which will limit the number of worker
processes.
Forking a child process to call ``ocrmypdf.ocr()`` is suggested. That
way your application will survive and remain interactive even if
OCRmyPDF does not.
Logging
-------
OCRmyPDF will log under loggers named ``ocrmypdf``. In addition, it
imports ``pdfminer`` and ``PIL``, both of which post log messages under
those logging namespaces.
You can configure the logging as desired for your application or call
:func:`ocrmypdf.configure_logging` to configure logging the same way
OCRmyPDF itself does. The command line parameters such as ``--quiet``
and ``--verbose`` have no equivalents in the API; you must use the
provided configuration function or do configuration in a way that suits
your use case.
Progress monitoring
-------------------
OCRmyPDF uses the ``tqdm`` package to implement its progress bars.
:func:`ocrmypdf.configure_logging` will set up logging output to
``sys.stderr`` in a way that is compatible with the display of the
progress bar. Use ``ocrmypdf.ocr(...progress_bar=False)`` to disable
the progress bar.
Exceptions
----------
OCRmyPDF may throw standard Python exceptions, ``ocrmypdf.exceptions.*``
exceptions, some exceptions related to multiprocessing, and
``KeyboardInterrupt``. The parent process should provide an exception
handler. OCRmyPDF will clean up its temporary files and worker processes
automatically when an exception occurs.
Programs that call OCRmyPDF should consider trapping KeyboardInterrupt
so that they allow OCR to terminate with the whole program terminating.
When OCRmyPDF succeeds conditionally, it returns an integer exit code.
Reference
---------
.. autofunction:: ocrmypdf.ocr
.. autoclass:: ocrmypdf.Verbosity
:members:
:undoc-members:
.. autoclass:: ocrmypdf.ExitCode
:members:
:undoc-members:
.. autofunction:: ocrmypdf.configure_logging
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================
Batch processing
================
This article provides information about running OCRmyPDF on multiple
files or configuring it as a service triggered by file system events.
Batch jobs
==========
Consider using the excellent `GNU
Parallel <https://www.gnu.org/software/parallel/>`__ to apply OCRmyPDF
to multiple files at once.
Both ``parallel`` and ``ocrmypdf`` will try to use all available
processors. To maximize parallelism without overloading your system with
processes, consider using ``parallel -j 2`` to limit parallel to running
two jobs at once.
This command will run all ocrmypdf all files named ``*.pdf`` in the
current directory and write them to the previous created ``output/``
folder. It will not search subdirectories.
The ``--tag`` argument tells parallel to print the filename as a prefix
whenever a message is printed, so that one can trace any errors to the
file that produced them.
.. code-block:: bash
parallel --tag -j 2 ocrmypdf '{}' 'output/{}' ::: *.pdf
OCRmyPDF automatically repairs PDFs before parsing and gathering
information from them.
Directory trees
===============
This will walk through a directory tree and run OCR on all files in
place, printing the output in a way that makes
.. code-block:: bash
find . -printf '%p' -name '*.pdf' -exec ocrmypdf '{}' '{}' \;
Alternatively, with a docker container (mounts a volume to the container
where the PDFs are stored):
.. code-block:: bash
find . -printf '%p' -name '*.pdf' -exec docker run --rm -v <host dir>:<container dir> jbarlow83/ocrmypdf '<container dir>/{}' '<container dir>/{}' \;
This only runs one ``ocrmypdf`` process at a time. This variation uses
``find`` to create a directory list and ``parallel`` to parallelize runs
of ``ocrmypdf``, again updating files in place.
.. code-block:: bash
find . -name '*.pdf' | parallel --tag -j 2 ocrmypdf '{}' '{}'
In a Windows batch file, use
.. code-block:: bat
for /r %%f in (*.pdf) do ocrmypdf %%f %%f
Sample script
-------------
This user contributed script also provides an example of batch
processing.
.. literalinclude:: ../misc/batch.py
:caption: misc/batch.py
Synology DiskStations
---------------------
Synology DiskStations (Network Attached Storage devices) can run the
Docker image of OCRmyPDF if the Synology `Docker
package <https://www.synology.com/en-global/dsm/packages/Docker>`__ is
installed. Attached is a script to address particular quirks of using
OCRmyPDF on one of these devices.
This is only possible for x86-based Synology products. Some Synology
products use ARM or Power processors and do not support Docker. Further
adjustments might be needed to deal with the Synology's relatively
limited CPU and RAM.
.. literalinclude:: ../misc/synology.py
:caption: misc/synology.py - Sample script for Synology DiskStations
Huge batch jobs
---------------
If you have thousands of files to work with, contact the author.
Consulting work related to OCRmyPDF helps fund this open source project
and all inquiries are appreciated.
Hot (watched) folders
=====================
Watched folders with watcher.py
-------------------------------
OCRmyPDF has a folder watcher called watcher.py, which is currently included in source
distributions but not part of the main program. It may be used natively or may run
in a Docker container. Native instances tend to give better performance. watcher.py
works on all platforms.
Users may need to customize the script to meet their requirements.
.. code-block:: bash
pip3 install -r requirements/watcher.txt
env OCR_INPUT_DIRECTORY=/mnt/input-pdfs \
OCR_OUTPUT_DIRECTORY=/mnt/output-pdfs \
OCR_OUTPUT_DIRECTORY_YEAR_MONTH=1 \
python3 watcher.py
.. csv-table:: watcher.py environment variables
:header: "Environment variable", "Description"
:widths: 50, 50
"OCR_INPUT_DIRECTORY", "Set input directory to monitor (recursive)"
"OCR_OUTPUT_DIRECTORY", "Set output directory (should not be under input)"
"OCR_ON_SUCCESS_DELETE", "This will delete the input file if the exit code is 0 (OK)"
"OCR_OUTPUT_DIRECTORY_YEAR_MONTH", "This will place files in the output in ``{output}/{year}/{month}/{filename}``"
"OCR_DESKEW", "Apply deskew to crooked input PDFs"
"OCR_JSON_SETTINGS", "A JSON string specifying any other arguments for ``ocrmypdf.ocr``"
"OCR_POLL_NEW_FILE_SECONDS", "Polling interval"
"OCR_LOGLEVEL", "Level of log messages to report"
One could configure a networked scanner or scanning computer to drop files in the
watched folder.
Watched folders with Docker
---------------------------
The watcher service is included in the OCRmyPDF Docker image. To run it:
.. code-block:: bash
docker run \
-v <path to files to convert>:/input \
-v <path to store results>:/output \
-e OCR_OUTPUT_DIRECTORY_YEAR_MONTH=1 \
-e OCR_ON_SUCCESS_DELETE=1 \
-e OCR_DESKEW=1 \
-e PYTHONUNBUFFERED=1 \
-it --entrypoint python3 \
jbarlow83/ocrmypdf \
watcher.py
This service will watch for a file that matches ``/input/\*.pdf`` and will
convert it to a OCRed PDF in ``/output/``. The parameters to this image are:
.. csv-table:: watcher.py parameters for Docker
:header: "Parameter", "Description"
:widths: 50, 50
"``-v <path to files to convert>:/input``", "Files placed in this location will be OCRed"
"``-v <path to store results>:/output``", "This is where OCRed files will be stored"
"``-e OCR_OUTPUT_DIRECTORY_YEAR_MONTH=1``", "Define environment variable OCR_OUTPUT_DIRECTORY_YEAR_MONTH=1"
"``-e OCR_ON_SUCCESS_DELETE=1``", "Define environment variable"
"``-e OCR_DESKEW=1``", "Define environment variable"
"``-e PYTHONBUFFERED=1``", "This will force STDOUT to be unbuffered and allow you to see messages in docker logs"
This service relies on polling to check for changes to the filesystem. It
may not be suitable for some environments, such as filesystems shared on a
slow network.
A configuration manager such as Docker Compose could be used to ensure that the
service is always available.
.. literalinclude:: ../misc/docker-compose.example.yml
:language: yaml
:caption: misc/docker-compose.example.yml
Caveats
-------
- ``watchmedo`` may not work properly on a networked file system,
depending on the capabilities of the file system client and server.
- This simple recipe does not filter for the type of file system event,
so file copies, deletes and moves, and directory operations, will all
be sent to ocrmypdf, producing errors in several cases. Disable your
watched folder if you are doing anything other than copying files to
it.
- If the source and destination directory are the same, watchmedo may
create an infinite loop.
- On BSD, FreeBSD and older versions of macOS, you may need to increase
the number of file descriptors to monitor more files, using
``ulimit -n 1024`` to watch a folder of up to 1024 files.
Alternatives
------------
- On Linux, `systemd user services <https://wiki.archlinux.org/index.php/Systemd/User>`__
can be configured to automatically perform OCR on a collection of files.
- `Watchman <https://facebook.github.io/watchman/>`__ is a more
powerful alternative to ``watchmedo``.
macOS Automator
===============
You can use the Automator app with macOS, to create a Workflow or Quick
Action. Use a *Run Shell Script* action in your workflow. In the context
of Automator, the ``PATH`` may be set differently your Terminal's
``PATH``; you may need to explicitly set the PATH to include
``ocrmypdf``. The following example may serve as a starting point:
.. figure:: images/macos-workflow.png
:alt: Example macOS Automator workflow
You may customize the command sent to ocrmypdf.
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# ocrmypdf documentation build configuration file, created by
# sphinx-quickstart on Sun Sep 4 14:29:43 2016.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All configuration values have a default; values that are commented out
# serve to show the default.
# If extensions (or modules to document with autodoc) are in another directory,
# add these directories to sys.path here. If the directory is relative to the
# documentation root, use os.path.abspath to make it absolute, like shown here.
#
# import os
# import sys
# sys.path.insert(0, os.path.abspath('.'))
# -- General configuration ------------------------------------------------
# If your documentation needs a minimal Sphinx version, state it here.
#
# needs_sphinx = '1.0'
# Add any Sphinx extension module names here, as strings. They can be
# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
# ones.
extensions = ['sphinx.ext.napoleon']
# Add any paths that contain templates here, relative to this directory.
templates_path = ['_templates']
# The suffix(es) of source filenames.
# You can specify multiple suffix as a list of string:
#
# source_suffix = ['.rst', '.md']
source_suffix = '.rst'
# The encoding of source files.
#
# source_encoding = 'utf-8-sig'
# The master toctree document.
master_doc = 'index'
# General information about the project.
project = 'ocrmypdf'
copyright = (
'2019, James R. Barlow. Licensed under Creative Commons Attribution-ShareAlike 4.0.'
)
author = 'James R. Barlow'
# The version info for the project you're documenting, acts as replacement for
# |version| and |release|, also used in various other places throughout the
# built documents.
#
# The short X.Y version.
import os
on_rtd = os.environ.get('READTHEDOCS') == 'True'
if on_rtd:
# Help ReadTheDocs avoid having to install any binary extension modules
import sys
from unittest.mock import MagicMock
class Mock(MagicMock):
@classmethod
def __getattr__(cls, name):
return MagicMock()
MOCK_MODULES = [
'pikepdf',
'pikepdf.models',
'pikepdf.models.metadata',
'ocrmypdf.leptonica',
]
sys.modules.update((mod_name, Mock()) for mod_name in MOCK_MODULES)
from pkg_resources import get_distribution, DistributionNotFound
# The full version, including alpha/beta/rc tags.
release = get_distribution('ocrmypdf').version
version = '.'.join(release.split('.')[:2])
# The language for content autogenerated by Sphinx. Refer to documentation
# for a list of supported languages.
#
# This is also used if you do content translation via gettext catalogs.
# Usually you set "language" from the command line for these cases.
language = None
# There are two options for replacing |today|: either, you set today to some
# non-false value, then it is used:
#
# today = ''
#
# Else, today_fmt is used as the format for a strftime call.
#
today_fmt = '%Y-%m-%d'
# List of patterns, relative to source directory, that match files and
# directories to ignore when looking for source files.
# This patterns also effect to html_static_path and html_extra_path
exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store']
# The reST default role (used for this markup: `text`) to use for all
# documents.
#
# default_role = None
# If true, '()' will be appended to :func: etc. cross-reference text.
#
# add_function_parentheses = True
# If true, the current module name will be prepended to all description
# unit titles (such as .. function::).
#
# add_module_names = True
# If true, sectionauthor and moduleauthor directives will be shown in the
# output. They are ignored by default.
#
# show_authors = False
# The name of the Pygments (syntax highlighting) style to use.
pygments_style = 'sphinx'
# A list of ignored prefixes for module index sorting.
# modindex_common_prefix = []
# If true, keep warnings as "system message" paragraphs in the built documents.
# keep_warnings = False
# If true, `todo` and `todoList` produce output, else they produce nothing.
todo_include_todos = False
# -- Options for HTML output ----------------------------------------------
import sphinx_rtd_theme
# The theme to use for HTML and HTML Help pages. See the documentation for
# a list of builtin themes.
#
html_theme = 'sphinx_rtd_theme'
html_theme_path = [sphinx_rtd_theme.get_html_theme_path()]
# Theme options are theme-specific and customize the look and feel of a theme
# further. For a list of options available for each theme, see the
# documentation.
#
html_theme_options = {'display_version': False}
# Add any paths that contain custom themes here, relative to this directory.
# html_theme_path = []
# The name for this set of Sphinx documents.
# "<project> v<release> documentation" by default.
#
# html_title = 'ocrmypdf v4.2'
# A shorter title for the navigation bar. Default is the same as html_title.
#
# html_short_title = None
# The name of an image file (relative to this directory) to place at the top
# of the sidebar.
#
# html_logo = None
# The name of an image file (relative to this directory) to use as a favicon of
# the docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32
# pixels large.
#
# html_favicon = None
# Add any paths that contain custom static files (such as style sheets) here,
# relative to this directory. They are copied after the builtin static files,
# so a file named "default.css" will overwrite the builtin "default.css".
html_static_path = ['_static']
# Add any extra paths that contain custom files (such as robots.txt or
# .htaccess) here, relative to this directory. These files are copied
# directly to the root of the documentation.
#
# html_extra_path = []
# If not None, a 'Last updated on:' timestamp is inserted at every page
# bottom, using the given strftime format.
# The empty string is equivalent to '%b %d, %Y'.
#
# html_last_updated_fmt = None
# If true, SmartyPants will be used to convert quotes and dashes to
# typographically correct entities.
#
# html_use_smartypants = True
# Custom sidebar templates, maps document names to template names.
#
# html_sidebars = {}
# Additional templates that should be rendered to pages, maps page names to
# template names.
#
# html_additional_pages = {}
# If false, no module index is generated.
#
# html_domain_indices = True
# If false, no index is generated.
#
# html_use_index = True
# If true, the index is split into individual pages for each letter.
#
# html_split_index = False
# If true, links to the reST sources are added to the pages.
#
# html_show_sourcelink = True
# If true, "Created using Sphinx" is shown in the HTML footer. Default is True.
#
# html_show_sphinx = True
# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True.
#
# html_show_copyright = True
# If true, an OpenSearch description file will be output, and all pages will
# contain a <link> tag referring to it. The value of this option must be the
# base URL from which the finished HTML is served.
#
# html_use_opensearch = ''
# This is the file name suffix for HTML files (e.g. ".xhtml").
# html_file_suffix = None
# Language to be used for generating the HTML full-text search index.
# Sphinx supports the following languages:
# 'da', 'de', 'en', 'es', 'fi', 'fr', 'h', 'it', 'ja'
# 'nl', 'no', 'pt', 'ro', 'r', 'sv', 'tr', 'zh'
#
# html_search_language = 'en'
# A dictionary with options for the search language support, empty by default.
# 'ja' uses this config value.
# 'zh' user can custom change `jieba` dictionary path.
#
# html_search_options = {'type': 'default'}
# The name of a javascript file (relative to the configuration directory) that
# implements a search results scorer. If empty, the default will be used.
#
# html_search_scorer = 'scorer.js'
# Output file base name for HTML help builder.
htmlhelp_basename = 'ocrmypdfdoc'
# -- Options for LaTeX output ---------------------------------------------
latex_elements = {
# The paper size ('letterpaper' or 'a4paper').
#
# 'papersize': 'letterpaper',
# The font size ('10pt', '11pt' or '12pt').
#
# 'pointsize': '10pt',
# Additional stuff for the LaTeX preamble.
#
# 'preamble': '',
# Latex figure (float) alignment
#
# 'figure_align': 'htbp',
}
# Grouping the document tree into LaTeX files. List of tuples
# (source start file, target name, title,
# author, documentclass [howto, manual, or own class]).
latex_documents = [
(master_doc, 'ocrmypdf.tex', 'ocrmypdf Documentation', 'James R. Barlow', 'manual')
]
# The name of an image file (relative to this directory) to place at the top of
# the title page.
#
# latex_logo = None
# For "manual" documents, if this is true, then toplevel headings are parts,
# not chapters.
#
# latex_use_parts = False
# If true, show page references after internal links.
#
# latex_show_pagerefs = False
# If true, show URL addresses after external links.
#
# latex_show_urls = False
# Documents to append as an appendix to all manuals.
#
# latex_appendices = []
# It false, will not define \strong, \code, itleref, \crossref ... but only
# \sphinxstrong, ..., \sphinxtitleref, ... To help avoid clash with user added
# packages.
#
# latex_keep_old_macro_names = True
# If false, no module index is generated.
#
# latex_domain_indices = True
# -- Options for manual page output ---------------------------------------
# One entry per manual page. List of tuples
# (source start file, name, description, authors, manual section).
man_pages = [(master_doc, 'ocrmypdf', 'ocrmypdf Documentation', [author], 1)]
# If true, show URL addresses after external links.
#
# man_show_urls = False
# -- Options for Texinfo output -------------------------------------------
# Grouping the document tree into Texinfo files. List of tuples
# (source start file, target name, title, author,
# dir menu entry, description, category)
texinfo_documents = [
(
master_doc,
'ocrmypdf',
'ocrmypdf Documentation',
author,
'ocrmypdf',
'One line description of project.',
'Miscellaneous',
)
]
# Documents to append as an appendix to all manuals.
#
# texinfo_appendices = []
# If false, no module index is generated.
#
# texinfo_domain_indices = True
# How to display URL addresses: 'footnote', 'no', or 'inline'.
#
# texinfo_show_urls = 'footnote'
# If true, do not generate a @detailmenu in the "Top" node's menu.
#
# texinfo_no_detailmenu = False
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=======================
Contributing guidelines
=======================
Contributions are welcome!
Big changes
===========
Please open a new issue to discuss or propose a major change. Not only is it fun
to discuss big ideas, but we might save each other's time too. Perhaps some of the
work you're contemplating is already half-done in a development branch.
Code style
==========
We use PEP8, ``black`` for code formatting and ``isort`` for import sorting. The
settings for these programs are in ``pyproject.toml`` and ``setup.cfg``. Pull
requests should follow the style guide. One difference we use from "black" style
is that strings shown to the user are always in double quotes (``"``) and strings
for internal uses are in single quotes (``'``).
Tests
=====
New features should come with tests that confirm their correctness.
New Python dependencies
=======================
If you are proposing a change that will require a new Python dependency, we
prefer dependencies that are already packaged by Debian or Red Hat. This makes
life much easier for our downstream package maintainers.
Python dependencies must also be GPLv3 compatible.
New non-Python dependencies
===========================
OCRmyPDF uses several external programs (Tesseract, Ghostscript and others) for
its functionality. In general we prefer to avoid adding new external programs.
Style guide: Is it OCRmyPDF or ocrmypdf?
========================================
The program/project is OCRmyPDF and the name of the executable or library is ocrmypdf.
Known ports/packagers
=====================
OCRmyPDF has been ported to many platforms already. If you are interesting in
porting to a new platform, check with
`Repology <https://repology.org/projects/?search=ocrmypdf>`__ to see the status
of that platform.
Packager maintainers, please ensure that the command line completion scripts in
``misc/`` are installed.
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@@ -1,355 +0,0 @@
========
Cookbook
========
Basic examples
==============
Help!
-----
ocrmypdf has built-in help.
.. code-block:: bash
ocrmypdf --help
Add an OCR layer and convert to PDF/A
-------------------------------------
.. code-block:: bash
ocrmypdf input.pdf output.pdf
Add an OCR layer and output a standard PDF
------------------------------------------
.. code-block:: bash
ocrmypdf --output-type pdf input.pdf output.pdf
Create a PDF/A with all color and grayscale images converted to JPEG
--------------------------------------------------------------------
.. code-block:: bash
ocrmypdf --output-type pdfa --pdfa-image-compression jpeg input.pdf output.pdf
Modify a file in place
----------------------
The file will only be overwritten if OCRmyPDF is successful.
.. code-block:: bash
ocrmypdf myfile.pdf myfile.pdf
Correct page rotation
---------------------
OCR will attempt to automatic correct the rotation of each page. This
can help fix a scanning job that contains a mix of landscape and
portrait pages.
.. code-block:: bash
ocrmypdf --rotate-pages myfile.pdf myfile.pdf
You can increase (decrease) the parameter ``--rotate-pages-threshold``
to make page rotation more (less) aggressive.
If the page is "just a little off horizontal", like a crooked picture,
then you want ``--deskew``. ``--rotate-pages`` is for when the cardinal
angle is wrong.
OCR languages other than English
--------------------------------
OCRmyPDF assumes the document is in English unless told otherwise. OCR
quality may be poor if the wrong language is used.
.. code-block:: bash
ocrmypdf -l fra LeParisien.pdf LeParisien.pdf
ocrmypdf -l eng+fra Bilingual-English-French.pdf Bilingual-English-French.pdf
Language packs must be installed for all languages specified. See
:ref:`Installing additional language packs <lang-packs>`.
Unfortunately, the Tesseract OCR engine has no ability to detect the
language when it is unknown.
Produce PDF and text file containing OCR text
---------------------------------------------
This produces a file named "output.pdf" and a companion text file named
"output.txt".
.. code-block:: bash
ocrmypdf --sidecar output.txt input.pdf output.pdf
.. note::
The sidecar file contains the **OCR text** found by OCRmyPDF. If the document
contains pages that already have text, that text will not appear in the
sidecar. If the option ``--pages`` is used, only those pages on which OCR
was performed will be included in the sidecar. If certain pages were skipped
because of options like ``--skip-big`` or ``--tesseract-timeout``, those pages
will not be in the sidecar.
To extract all text from a PDF, whether generated from OCR or otherwise,
use a program like Poppler's ``pdftotext`` or ``pdfgrep``.
OCR images, not PDFs
--------------------
Option: use Tesseract
~~~~~~~~~~~~~~~~~~~~~
If you are starting with images, you can just use Tesseract directly to
convert images to PDFs:
.. code-block:: bash
tesseract my-image.jpg output-prefix pdf
.. code-block:: bash
# When there are multiple images
tesseract text-file-containing-list-of-image-filenames.txt output-prefix pdf
Tesseract's PDF output is quite good  OCRmyPDF uses it internally, in
some cases. However, OCRmyPDF has many features not available in
Tesseract like image processing, metadata control, and PDF/A generation.
Option: use img2pdf
~~~~~~~~~~~~~~~~~~~
You can also use a program like
`img2pdf <https://gitlab.mister-muffin.de/josch/img2pdf>`__ to convert
your images to PDFs, and then pipe the results to run ocrmypdf. The
``-`` tells ocrmypdf to read standard input.
.. code-block:: bash
img2pdf my-images*.jpg | ocrmypdf - myfile.pdf
``img2pdf`` is recommended because it does an excellent job at
generating PDFs without transcoding images.
Option: use OCRmyPDF (single images only)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
For convenience, OCRmyPDF can also convert single images to PDFs on its
own. If the resolution (dots per inch, DPI) of an image is not set or is
incorrect, it can be overridden with ``--image-dpi``. (As 1 inch is 2.54
cm, 1 dpi = 0.39 dpcm).
.. code-block:: bash
ocrmypdf --image-dpi 300 image.png myfile.pdf
If you have multiple images, you must use ``img2pdf`` to convert the
images to PDF.
Not recommended
~~~~~~~~~~~~~~~
We caution against using ImageMagick or Ghostscript to convert images to
PDF, since they may transcode images or produce downsampled images,
sometimes without warning.
Image processing
================
OCRmyPDF perform some image processing on each page of a PDF, if
desired. The same processing is applied to each page. It is suggested
that the user review files after image processing as these commands
might remove desirable content, especially from poor quality scans.
- ``--rotate-pages`` attempts to determine the correct orientation for
each page and rotates the page if necessary.
- ``--remove-background`` attempts to detect and remove a noisy
background from grayscale or color images. Monochrome images are
ignored. This should not be used on documents that contain color
photos as it may remove them.
- ``--deskew`` will correct pages were scanned at a skewed angle by
rotating them back into place. Skew determination and correction is
performed using `Postl's variance of line
sums <http://www.leptonica.org/skew-measurement.html>`__ algorithm as
implemented in `Leptonica <http://www.leptonica.org/index.html>`__.
- ``--clean`` uses
`unpaper <https://www.flameeyes.eu/projects/unpaper>`__ to clean up
pages before OCR, but does not alter the final output. This makes it
less likely that OCR will try to find text in background noise.
- ``--clean-final`` uses unpaper to clean up pages before OCR and
inserts the page into the final output. You will want to review each
page to ensure that unpaper did not remove something important.
.. note::
In many cases image processing will rasterize PDF pages as images,
potentially losing quality.
.. warning::
``--clean-final`` and ``-remove-background`` may leave undesirable
visual artifacts in some images where their algorithms have
shortcomings. Files should be visually reviewed after using these
options.
Example: OCR and correct document skew (crooked scan)
-----------------------------------------------------
Deskew:
.. code-block:: bash
ocrmypdf --deskew input.pdf output.pdf
Image processing commands can be combined. The order in which options
are given does not matter. OCRmyPDF always applies the steps of the
image processing pipeline in the same order (rotate, remove background,
deskew, clean).
.. code-block:: bash
ocrmypdf --deskew --clean --rotate-pages input.pdf output.pdf
Don't actually OCR my PDF
=========================
If you set ``--tesseract-timeout 0`` OCRmyPDF will apply its image
processing without performing OCR, if all you want to is to apply image
processing or PDF/A conversion.
.. code-block:: bash
ocrmypdf --tesseract-timeout=0 --remove-background input.pdf output.pdf
Optimize images without performing OCR
--------------------------------------
You can also optimize all images without performing any OCR:
.. code-block:: bash
ocrmypdf --tesseract-timeout=0 --optimize 3 --skip-text input.pdf output.pdf
Perform OCR only certain pages
------------------------------
You can ask OCRmyPDF to only apply OCR to certain pages.
.. code-block:: bash
ocrmypdf --pages 2,3,13-17 input.pdf output.pdf
Hyphens denote a range of pages and commas separate page numbers. If you prefer
to use spaces, quote all of the page numbers: ``--pages '2, 3, 5, 7'``.
OCRmyPDF will warn if your list of page numbers contains duplicates or
overlap pages. OCRmyPDF does not currently account for document page numbers,
such as an introduction section of a book that uses Roman numerals. It simply
counts the number of virtual pieces of paper since the start.
Regardless of the argument to ``--pages``, OCRmyPDF will optimize all pages in
the file and convert it to PDF/A, unless you disable those options. In this
example, we want to OCR only the title and otherwise change the PDF as little
as possible:
.. code-block:: bash
ocrmypdf --pages 1 --output-type pdf --optimize 0 input.pdf output.pdf
Redo existing OCR
=================
To redo OCR on a file OCRed with other OCR software or a previous
version of OCRmyPDF and/or Tesseract, you may use the ``--redo-ocr``
argument. (Normally, OCRmyPDF will exit with an error if asked to modify
a file with OCR.)
This may be helpful for users who want to take advantage of accuracy
improvements in Tesseract 4.0 for files they previously OCRed with an
earlier version of Tesseract and OCRmyPDF.
.. code-block:: bash
ocrmypdf --redo-ocr input.pdf output.pdf
This method will replace OCR without rasterizing, reducing quality or
removing vector content. If a file contains a mix of pure digital text
and OCR, digital text will be ignored and OCR will be replaced. As such
this mode is incompatible with image processing options, since they
alter the appearance of the file.
In some cases, existing OCR cannot be detected or replaced. Files
produced by OCRmyPDF v2.2 or earlier, for example, are internally
represented as having visible text with an opaque image drawn on top.
This situation cannot be detected.
If ``--redo-ocr`` does not work, you can use ``--force-ocr``, which will
force rasterization of all pages, potentially reducing quality or losing
vector content.
Improving OCR quality
=====================
The `Image processing <#image-processing>`__ features can improve OCR
quality.
Rotating pages and deskewing helps to ensure that the page orientation
is correct before OCR begins. Removing the background and/or cleaning
the page can also improve results. The ``--oversample DPI`` argument can
be specified to resample images to higher resolution before attempting
OCR; this can improve results as well.
OCR quality will suffer if the resolution of input images is not correct
(since the range of pixel sizes that will be checked for possible fonts
will also be incorrect).
PDF optimization
================
By default OCRmyPDF will attempt to perform lossless optimizations on
the images inside PDFs after OCR is complete. Optimization is performed
even if no OCR text is found.
The ``--optimize N`` (short form ``-O``) argument controls optimization,
where ``N`` ranges from 0 to 3 inclusive, analogous to the optimization
levels in the GCC compiler.
.. list-table::
:widths: auto
:header-rows: 1
* - Level
- Comments
* - ``--optimize 0``
- Disables optimization.
* - ``--optimize 1``
- Enables lossless optimizations, such as transcoding images to more
efficient formats. Also compress other uncompressed objects in the
PDF and enables the more efficient "object streams" within the PDF.
* - ``--optimize 2``
- All of the above, and enables lossy optimizations and color quantization.
* - ``--optimize 3``
- All of the above, and enables more aggressive optimizations and targets lower image quality.
Optimization is improved when a JBIG2 encoder is available and when
``pngquant`` is installed. If either of these components are missing,
then some types of images cannot be optimized.
The types of optimization available may expand over time. By default,
OCRmyPDF compresses data streams inside PDFs, and will change
inefficient compression modes to more modern versions. A program like
``qpdf`` can be used to change encodings, e.g. to inspect the internals
fo a PDF.
.. code-block:: bash
ocrmypdf --optimize 3 in.pdf out.pdf # Make it small
Some users may consider enabling lossy JBIG2. See: :ref:`jbig2-lossy`.
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=====================
OCRmyPDF Docker image
=====================
OCRmyPDF is also available in a Docker image that packages recent
versions of all dependencies.
For users who already have Docker installed this may be an easy and
convenient option. However, it is less performant than a system
installation and may require Docker engine configuration.
OCRmyPDF needs a generous amount of RAM, CPU cores, temporary storage
space, whether running in a Docker container or on its own. It may be
necessary to ensure the container is provisioned with additional
resources.
.. _docker-install:
Installing the Docker image
===========================
If you have `Docker <https://docs.docker.com/>`__ installed on your
system, you can install a Docker image of the latest release.
If you can run this command successfully, your system is ready to download and
execute the image:
.. code-block:: bash
docker run hello-world
The recommended OCRmyPDF Docker image is currently named ``ocrmypdf``:
.. code-block:: bash
docker pull jbarlow83/ocrmypdf
OCRmyPDF will use all available CPU cores. By default, the VirtualBox
machine instance on Windows and macOS has only a single CPU core
enabled. Use the VirtualBox Manager to determine the name of your Docker
engine host, and then follow these optional steps to enable multiple
CPUs:
.. code-block:: bash
# Optional step for Mac OS X users
docker-machine stop "yourVM"
VBoxManage modifyvm "yourVM" --cpus 2 # or whatever number of core is desired
docker-machine start "yourVM"
eval $(docker-machine env "yourVM")
See the Docker documentation for
`adjusting memory and CPU on other platforms <https://docs.docker.com/config/containers/resource_constraints/>`__.
Using the Docker image on the command line
==========================================
**Unlike typical Docker containers**, in this section the OCRmyPDF Docker
container is emphemeral it runs for one OCR job and terminates, just like a
command line program. We are using Docker to deliver an application (as opposed
to the more conventional case, where a Docker container runs as a server).
To start a Docker container (instance of the image):
.. code-block:: bash
docker tag jbarlow83/ocrmypdf ocrmypdf
docker run --rm -i ocrmypdf (... all other arguments here...) - -
For convenience, create a shell alias to hide the Docker command. It is
easier to send the input file as stdin and read the output from
stdout **this avoids the messy permission issues with Docker entirely**.
.. code-block:: bash
alias docker_ocrmypdf='docker run --rm -i ocrmypdf'
docker_ocrmypdf --version # runs docker version
docker_ocrmypdf - - <input.pdf >output.pdf
Or in the wonderful `fish shell <https://fishshell.com/>`__:
.. code-block:: fish
alias docker_ocrmypdf 'docker run --rm ocrmypdf'
funcsave docker_ocrmypdf
Alternately, you could mount the local current working directory as a
Docker volume:
.. code-block:: bash
docker run --rm -v $(pwd):/data ocrmypdf /data/input.pdf /data/output.pdf
(However, when done this way, ``output.pdf`` may be owned by the root
user.)
.. _docker-lang-packs:
Adding languages to the Docker image
====================================
By default the Docker image includes English, German, Simplified Chinese,
French, Portuguese and Spanish, the most popular languages for OCRmyPDF
users based on feedback. You may add other languages by creating a new
Dockerfile based on the public one:
.. code-block:: dockerfile
FROM jbarlow83/ocrmypdf
# Add French
RUN apt install tesseract-ocr-fra
You can also copy training data to ``/usr/share/tesseract-ocr/<tesseract version>/tessdata``.
Executing the test suite
========================
The OCRmyPDF test suite is installed with image. To run it:
.. code-block:: bash
docker run --entrypoint python3 jbarlow83/ocrmypdf -m pytest
Accessing the shell
===================
To use the bash shell in the Docker image:
.. code-block:: bash
docker run -it --entrypoint bash jbarlow83/ocrmypdf
Using the OCRmyPDF web service wrapper
======================================
The OCRmyPDF Docker image includes an example, barebones HTTP web
service. The webservice may be launched as follows:
.. code-block:: bash
docker run --entrypoint python3 -p 5000:5000 jbarlow83/ocrmypdf webservice.py
This will configure the machine to listen on port 5000. On Linux machines
this is port 5000 of localhost. On macOS or Windows machines running
Docker, this is port 5000 of the virtual machine that runs your Docker
images. You can find its IP address using the command ``docker-machine ip``.
Unlike command line usage this program will open a socket and wait for
connections.
.. warning::
The OCRmyPDF web service wrapper is intended for demonstration or
development. It provides no security, no authentication, no
protection against denial of service attacks, and no load balancing.
The default Flask WSGI server is used, which is intended for
development only. The server is single-threaded and so can respond to
only one client at a time. While running OCR, it cannot respond to
any other clients.
Clients must keep their open connection while waiting for OCR to
complete. This may entail setting a long timeout; this interface is more
useful for internal HTTP API calls.
Unlike the rest of OCRmyPDF, this web service is licensed under the
Affero GPLv3 (AGPLv3) since Ghostscript, a dependency of OCRmyPDF, is
also licensed in this way.
In addition to the above, please read our
:ref:`general remarks on using OCRmyPDF as a service <ocr-service>`.
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=====================
Common error messages
=====================
Page already has text
=====================
.. code-block::
ERROR - 1: page already has text! aborting (use --force-ocr to force OCR)
You ran ocrmypdf on a file that already contains printable text or a
hidden OCR text layer (it can't quite tell the difference). You probably
don't want to do this, because the file is already searchable.
As the error message suggests, your options are:
- ``ocrmypdf --force-ocr`` to :ref:`rasterize <raster-vector>` all
vector content and run OCR on the images. This is useful if a
previous OCR program failed, or if the document contains a text
watermark.
- ``ocrmypdf --skip-text`` to skip OCR and other processing on any
pages that contain text. Text pages will be copied into the output
PDF without modification.
Input file 'filename' is not a valid PDF
========================================
OCRmyPDF passes files through qpdf, a program that fixes errors in PDFs,
before it tries to work on them. In most cases this happens because the
PDF is corrupt and truncated (incomplete file copying) and not much can
be done.
You can try rewriting the file with Ghostscript:
.. code-block:: bash
gs -o output.pdf -dSAFER -sDEVICE=pdfwrite input.pdf
``pdftk`` can also rewrite PDFs:
.. code-block:: bash
pdftk input.pdf cat output output.pdf
Sometimes Acrobat can repair PDFs with its `Preflight
tool <https://helpx.adobe.com/acrobat/using/correcting-problem-areas-preflight-tool.html>`__.
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OCRmyPDF documentation
======================
OCRmyPDF adds an optical charcter recognition (OCR) text layer to scanned PDF
files, allowing them to be searched.
PDF is the best format for storing and exchanging scanned documents.
Unfortunately, PDFs can be difficult to modify. OCRmyPDF makes it easy to apply
image processing and OCR to existing PDFs.
.. toctree::
:maxdepth: 1
introduction
release_notes
installation
optimizer
languages
jbig2
.. toctree::
:caption: Usage
:maxdepth: 2
cookbook
docker
advanced
batch
security
errors
.. toctree::
:caption: Developers
:maxdepth: 2
api
contributing
Indices and tables
==================
* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`
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===================
Installing OCRmyPDF
===================
.. |latest| image:: https://img.shields.io/pypi/v/ocrmypdf.svg
:alt: OCRmyPDF latest released version on PyPI
|latest|
The easiest way to install OCRmyPDF is to follow the steps for your operating
system/platform, although sometimes this version may be out of date. This
installation guide provides information allowing you to compare the current
version to the one provided by your platform.
If you want to use the latest version of OCRmyPDF and all of its optional
dependencies, the easiest way to get that is install the Homebrew package. Homebrew
is best known as a macOS package manger, but also works for
`Linux and Windows Subsystem for Linux <https://docs.brew.sh/Homebrew-on-Linux>`__.
After Homebrew is installed, simply run ``brew install ocrmypdf``.
You can also use the more detailed procedures here to manually install OCRmyPDF
from source or with the ``pip`` package manager for binary wheels. The reason
for these varied steps is that OCRmyPDF requires third-party executables that are
not part of Python.
.. contents:: Platform-specific steps
:depth: 2
:local:
Installing on Linux
===================
Debian and Ubuntu 18.04 or newer
--------------------------------
.. |deb-stable| image:: https://repology.org/badge/version-for-repo/debian_stable/ocrmypdf.svg
:alt: Debian 9 stable ("stretch")
.. |deb-testing| image:: https://repology.org/badge/version-for-repo/debian_testing/ocrmypdf.svg
:alt: Debian 10 testing ("buster")
.. |deb-unstable| image:: https://repology.org/badge/version-for-repo/debian_unstable/ocrmypdf.svg
:alt: Debian unstable
.. |ubu-1804| image:: https://repology.org/badge/version-for-repo/ubuntu_18_04/ocrmypdf.svg
:alt: Ubuntu 18.04 LTS
.. |ubu-1810| image:: https://repology.org/badge/version-for-repo/ubuntu_18_10/ocrmypdf.svg
:alt: Ubuntu 18.10
.. |ubu-1904| image:: https://repology.org/badge/version-for-repo/ubuntu_19_04/ocrmypdf.svg
:alt: Ubuntu 19.04
.. |ubu-1910| image:: https://repology.org/badge/version-for-repo/ubuntu_19_10/ocrmypdf.svg
:alt: Ubuntu 19.10
+-----------------------------------------------+
| **OCRmyPDF versions in Debian & Ubuntu** |
+-----------------------------------------------+
| |latest| |
+-----------------------------------------------+
| |deb-stable| |deb-testing| |deb-unstable| |
+-----------------------------------------------+
| |ubu-1804| |ubu-1810| |ubu-1904| |ubu-1910| |
+-----------------------------------------------+
Users of Debian 9 ("stretch") or later or Ubuntu 18.04 or later, including users
of Windows Subsystem for Linux, may simply
.. code-block:: bash
apt-get install ocrmypdf
As indicated in the table above, Debian and Ubuntu releases may lag
behind the latest version. If the version available for your platform is
out of date, you could opt to install the latest version from source.
See `Installing HEAD revision from
sources <#installing-head-revision-from-sources>`__. Ubuntu 16.10 to 17.10
inclusive also had ocrmypdf, but these versions are end of life.
For full details on version availability for your platform, check the
`Debian Package Tracker <https://tracker.debian.org/pkg/ocrmypdf>`__ or
`Ubuntu launchpad.net <https://launchpad.net/ocrmypdf>`__.
.. note::
OCRmyPDF for Debian and Ubuntu currently omit the JBIG2 encoder.
OCRmyPDF works fine without it but will produce larger output files.
If you build jbig2enc from source, ocrmypdf 7.0.0 and later will
automatically detect it (specifically the ``jbig2`` binary) on the
``PATH``. To add JBIG2 encoding, see :ref:`jbig2`.
Fedora 29 or newer
------------------
.. |fedora-29| image:: https://repology.org/badge/version-for-repo/fedora_29/ocrmypdf.svg
:alt: Fedora 29
.. |fedora-30| image:: https://repology.org/badge/version-for-repo/fedora_30/ocrmypdf.svg
:alt: Fedora 30
.. |fedora-rawhide| image:: https://repology.org/badge/version-for-repo/fedora_rawhide/ocrmypdf.svg
:alt: Fedore Rawhide
+-----------------------------------------------+
| **OCRmyPDF version** |
+-----------------------------------------------+
| |latest| |
+-----------------------------------------------+
| |fedora-29| |fedora-30| |fedora-rawhide| |
+-----------------------------------------------+
Users of Fedora 29 or later may simply
.. code-block:: bash
dnf install ocrmypdf
For full details on version availability, check the `Fedora Package
Tracker <https://apps.fedoraproject.org/packages/ocrmypdf>`__.
If the version available for your platform is out of date, you could opt
to install the latest version from source. See `Installing HEAD revision
from sources <#installing-head-revision-from-sources>`__.
.. note::
OCRmyPDF for Fedora currently omits the JBIG2 encoder due to patent
issues. OCRmyPDF works fine without it but will produce larger output
files. If you build jbig2enc from source, ocrmypdf 7.0.0 and later
will automatically detect it on the ``PATH``. To add JBIG2 encoding,
see `Installing the JBIG2 encoder <jbig2>`__.
.. _ubuntu-lts-latest:
Installing the latest version on Ubuntu 18.04 LTS
-------------------------------------------------
Ubuntu 18.04 includes ocrmypdf 6.1.2 - you can install that with ``apt``, but
it is quite old now. To install a more recent version, first install several
system dependencies:
.. code-block:: bash
sudo apt-get -y update
sudo apt-get -y install \
ghostscript \
icc-profiles-free \
liblept5 \
libxml2 \
pngquant \
python3-cffi \
python3-distutils \
python3-pkg-resources \
python3-reportlab \
qpdf \
tesseract-ocr \
zlib1g
We will need a newer version of ``pip`` then was available for Ubuntu 18.04:
.. code-block:: bash
wget https://bootstrap.pypa.io/get-pip.py && python3 get-pip.py
Then install the most recent ocrmypdf for the local user and set the
user's ``PATH`` to check for the user's Python packages.
.. code-block:: bash
export PATH=$HOME/.local/bin:$PATH
python3 -m pip install --user ocrmypdf
To add JBIG2 encoding, see :ref:`jbig2`.
Ubuntu 16.04 LTS
----------------
No package is available for Ubuntu 16.04. OCRmyPDF 8.0 and newer require
Python 3.6. Ubuntu 16.04 ships Python 3.5, but you can install Python
3.6 on it. Or, you can skip Python 3.6 and install OCRmyPDF 7.x or older
- for that procedure, please see the installation documentation for the
version of OCRmyPDF you plan to use.
**Install system packages for OCRmyPDF**
.. code-block:: bash
sudo apt-get update
sudo apt-get install -y software-properties-common python-software-properties
sudo add-apt-repository -y \
ppa:jonathonf/python-3.6 \
ppa:alex-p/tesseract-ocr
sudo apt-get update
sudo apt-get install -y \
ghostscript \
libexempi3 \
libffi6 \
pngquant \
python3.6 \
qpdf \
tesseract-ocr \
unpaper
This will install a Python 3.6 binary at ``/usr/bin/python3.6``
alongside the system's Python 3.5. Do not remove the system Python. This
will also install Tesseract 4.0 from a PPA, since the version available
in Ubuntu 16.04 is too old for OCRmyPDF.
Now install pip for Python 3.6. This will install the Python 3.6 version
of ``pip`` at ``/usr/local/bin/pip``.
.. code-block:: bash
curl https://bootstrap.pypa.io/get-pip.py | sudo python3.6
**Install OCRmyPDF**
OCRmyPDF requires the locale to be set for UTF-8. **On some minimal
Ubuntu installations**, such as the Ubuntu 16.04 Docker images it may be
necessary to set the locale.
.. code-block:: bash
# Optional: Only need to set these if they are not already set
export LC_ALL=C.UTF-8
export LANG=C.UTF-8
Now install OCRmyPDF for the current user, and ensure that the ``PATH``
environment variable contains ``$HOME/.local/bin``.
.. code-block:: bash
export PATH=$HOME/.local/bin:$PATH
pip3.6 install --user ocrmypdf
To add JBIG2 encoding, see :ref:`jbig2`.
Ubuntu 14.04 LTS
----------------
Installing on Ubuntu 14.04 LTS (trusty) is more difficult than some
other options, because of its age. Several backports are required. For
explanations of some steps of this procedure, see the similar steps for
Ubuntu 16.04.
Install system dependencies:
.. code-block:: bash
sudo apt-get update
sudo apt-get install \
software-properties-common python-software-properties \
zlib1g-dev \
libexempi3 \
libjpeg-dev \
libffi-dev \
pngquant \
qpdf
We will need backports of Ghostscript 9.16, libav-11 (for unpaper 6.1),
Tesseract 4.00 (alpha), and Python 3.6. This will replace Ghostscript
and Tesseract 3.x on your system. Python 3.6 will be installed alongside
the system Python 3.4.
If you prefer to not modify your system in this matter, consider using a
Docker container.
.. code-block:: bash
sudo add-apt-repository ppa:vshn/ghostscript -y
sudo add-apt-repository ppa:heyarje/libav-11 -y
sudo add-apt-repository ppa:alex-p/tesseract-ocr -y
sudo add-apt-repository ppa:jonathonf/python-3.6 -y
sudo apt-get update
sudo apt-get install \
python3.6-dev \
ghostscript \
tesseract-ocr \
tesseract-ocr-eng \
libavformat56 libavcodec56 libavutil54 \
wget
Now we need to install ``pip`` and let it install ocrmypdf:
.. code-block:: bash
curl https://bootstrap.pypa.io/ez_setup.py -o - | python3.6 && python3.6 -m easy_install pip
pip3.6 install ocrmypdf
The optional dependency ``unpaper`` is only available at 0.4.2 in Ubuntu 14.04,
and no backports are available. Previously the author maintained a backported
.deb package for unpaper 6.1, but since Ubuntu 14.04 is now end of life, this is
not supported. As such, ``unpaper`` is not available on Ubuntu 14.04 or must by
compiled by hand.
To add JBIG2 encoding, see :ref:`jbig2`.
Arch Linux (AUR)
----------------
.. image:: https://repology.org/badge/version-for-repo/aur/ocrmypdf.svg
:alt: ArchLinux
:target: https://repology.org/metapackage/ocrmypdf
There is an `Arch User Repository (AUR) package for OCRmyPDF
<https://aur.archlinux.org/packages/ocrmypdf/>`__.
Installing AUR packages as root is not allowed, so you must first `setup a
non-root user
<https://wiki.archlinux.org/index.php/Users_and_groups#User_management>`__ and
`configure sudo <https://wiki.archlinux.org/index.php/Sudo#Configuration>`__.
The standard Docker image, ``archlinux/base:latest``, does **not** have a
non-root user configured, so users of that image must follow these guides. If
you are using a VM image, such as `the official Vagrant image
<https://app.vagrantup.com/archlinux/boxes/archlinux>`__, this work may already
be completed for you.
Next you should install the `base-devel package group
<https://www.archlinux.org/groups/x86_64/base-devel/>`__. This includes the
standard tooling needed to build packages, such as a compiler and binary tools.
.. code-block:: bash
sudo pacman -S base-devel
The OCRmyPDF package depends on `the python-pdfminer.six AUR package
<https://aur.archlinux.org/packages/python-pdfminer.six/>`__. Dependencies on
AUR packages are not automatically resolved, so this package must be manually
installed first.
.. code-block:: bash
curl -O https://aur.archlinux.org/cgit/aur.git/snapshot/python-pdfminer.six.tar.gz
tar xvzf python-pdfminer.six.tar.gz
cd python-pdfminer.six
makepkg -sri
With that complete you can then repeat the same series of steps for the
OCRmyPDF package.
.. code-block:: bash
curl -O https://aur.archlinux.org/cgit/aur.git/snapshot/ocrmypdf.tar.gz
tar xvzf ocrmypdf.tar.gz
cd ocrmypdf
makepkg -sri
At this point you will have a working install of OCRmyPDF, but the Tesseract
install wont include any OCR language data. You can install `the
tesseract-data package group
<https://www.archlinux.org/groups/any/tesseract-data/>`__ to add all supported
languages, or use that package listing to identify the appropriate package for
your desired language.
.. code-block:: bash
sudo pacman -S tesseract-data-eng
As an alternative to this manual procedure, consider using an `AUR helper
<https://wiki.archlinux.org/index.php/AUR_helpers>`__. Such a tool will
automatically fetch, build and install the AUR package, resolve dependencies
(including dependencies on AUR packages), and ease the upgrade procedure.
If you have any difficulties with installation, check the repository package
page.
.. note::
The OCRmyPDF AUR package currently omits the JBIG2 encoder. OCRmyPDF works
fine without it but will produce larger output files. The encoder is
available from `the jbig2enc-git AUR package
<https://aur.archlinux.org/packages/jbig2enc-git/>`__ and may be installed
using the same series of steps as for the installation of the pdfminer.six
and OCRmyPDF AUR packages. Alternatively, it may be built manually from
source following the instructions in `Installing the JBIG2 encoder
<jbig2>`__. If JBIG2 is installed, OCRmyPDF 7.0.0 and later will
automatically detect it.
Alpine Linux
------------
.. image:: https://repology.org/badge/version-for-repo/alpine_edge/ocrmypdf.svg
:alt: Alpine Linux
:target: https://repology.org/metapackage/ocrmypdf
To install OCRmyPDF for Alpine Linux:
.. code-block:: bash
apk add ocrmypdf
Other Linux packages
--------------------
See the
`Repology <https://repology.org/metapackage/ocrmypdf/versions>`__ page.
In general, first install the OCRmyPDF package for your system, then
optionally use the procedure `Installing with Python
pip <#installing-with-python-pip>`__ to install a more recent version.
Installing on macOS
===================
Homebrew
--------
.. image:: https://img.shields.io/homebrew/v/ocrmypdf.svg
:alt: homebrew
:target: http://brewformulas.org/Ocrmypdf
OCRmyPDF is now a standard `Homebrew <https://brew.sh>`__ formula. To
install on macOS:
.. code-block:: bash
brew install ocrmypdf
This will include only the English language pack. If you need other
languages you can optionally install them all:
.. code-block:: bash
brew install tesseract-lang # Optional: Install all language packs
.. note::
Users who previously installed OCRmyPDF on macOS using
``pip install ocrmypdf`` should remove the pip version
(``pip3 uninstall ocrmypdf``) before switching to the Homebrew
version.
.. note::
Users who previously installed OCRmyPDF from the private tap should
switch to the mainline version (``brew untap jbarlow83/ocrmypdf``)
and install from there.
Manual installation on macOS
----------------------------
These instructions probably work on all macOS supported by Homebrew.
If it's not already present, `install Homebrew <http://brew.sh/>`__.
Update Homebrew:
.. code-block:: bash
brew update
Install or upgrade the required Homebrew packages, if any are missing.
To do this, download the ``Brewfile`` that lists all of the dependencies
to the current directory, and run ``brew bundle`` to process them
(installing or upgrading as needed). ``Brewfile`` is a plain text file.
.. code-block:: bash
wget https://github.com/jbarlow83/OCRmyPDF/raw/master/.travis/Brewfile
brew bundle
This will include the English, French, German and Spanish language
packs. If you need other languages you can optionally install them all:
.. _macos-all-languages:
.. code-block:: bash
brew install tesseract-lang # Option 2: for all language packs
Update the homebrew pip:
.. code-block:: bash
pip3 install --upgrade pip
You can then install OCRmyPDF from PyPI, for the current user:
.. code-block:: bash
pip3 install --user ocrmypdf
or system-wide:
.. code-block:: bash
pip3 install ocrmypdf
The command line program should now be available:
.. code-block:: bash
ocrmypdf --help
Installing on FreeBSD
=====================
.. image:: https://repology.org/badge/version-for-repo/freebsd/python:ocrmypdf.svg
:alt: FreeBSD
:target: https://repology.org/project/python:ocrmypdf/versions
FreeBSD 11.3, 12.0, 12.1-RELEASE and 13.0-CURRENT are supported. Other
versions likely work but have not been tested.
.. code-block:: bash
pkg install py37-ocrmypdf
To install a more recent version, you could attempt to first install the system
version with ``pkg``, then use ``pip install --user ocrmypdf``.
Installing the Docker image
===========================
For some users, installing the Docker image will be easier than
installing all of OCRmyPDF's dependencies.
See `OCRmyPDF Docker Image <docker>`__ for more information.
Installing on Windows
=====================
.. warning::
Native Windows support is new. Consider it "beta" software. Some
functionality is missing or may be more difficult to enable. If you need a
production-ready solution, use Windows Subsystem for Linux or a Docker
image.
.. note::
Administrator privileges will be required for some of these steps.
You must install the following for Windows:
* Python 3.7 (64-bit)
* Tesseract 4.0 or later
* Ghostscript 9.50 or later
You can install these with the Chocolatey package manager:
* ``choco install python3``
* ``choco install --pre tesseract``
* ``choco install ghostscript``
Also consider adding:
* ``choco install pngquant``
Windows 10 64-bit and 64-bit versions of applications are recommended. Earlier
versions of Windows and 32-bit versions of these programs are not tested, and not
supported at this time.
OCRmyPDF will check for Tesseract-OCR and Ghostscript in your Program Files folder.
If they are in some other location, you may need to modify the ``PATH``
environment variable so Tesseract, Ghostscript, and other any optional executables can
be found. You can enter it in the command line or
`follow these directions <https://www.computerhope.com/issues/ch000549.htm#dospath>`_
to make the change persistent and system-wide.
You may then use pip to install ocrmypdf:
* ``pip install ocrmypdf``
Installing on Windows Subsystem for Linux
=========================================
#. Install Ubuntu 18.04 for Windows Subsystem for Linux, if not already installed.
#. Follow the procedure to install :ref:`OCRmyPDF on Ubuntu 18.04 <ubuntu-lts-latest>`.
#. Open the Windows command prompt and create a symlink:
.. code-block:: powershell
wsl sudo ln -s /home/$USER/.local/bin/ocrmypdf /usr/local/bin/ocrmypdf
Then confirm that the expected version from PyPI (|latest|) is installed:
.. code-block:: powershell
wsl ocrmypdf --version
You can then run OCRmyPDF in the Windows command prompt or Powershell, prefixing
``wsl``, and call it from Windows programs or batch files.
Docker
^^^^^^
You can also :ref:`Install the Docker <docker-install>` container on Windows. Ensure that
your command prompt can run the docker "hello world" container.
Installing with Python pip
==========================
OCRmyPDF is delivered by PyPI because it is a convenient way to install
the latest version. However, PyPI and ``pip`` cannot address the fact
that ``ocrmypdf`` depends on certain non-Python system libraries and
programs being instsalled.
For best results, first install `your platform's
version <https://repology.org/metapackage/ocrmypdf/versions>`__ of
``ocrmypdf``, using the instructions elsewhere in this document. Then
you can use ``pip`` to get the latest version if your platform version
is out of date. Chances are that this will satisfy most dependencies.
Use ``ocrmypdf --version`` to confirm what version was installed.
Then you can install the latest OCRmyPDF from the Python wheels. First
try:
.. code-block:: bash
pip3 install --user ocrmypdf
You should then be able to run ``ocrmypdf --version`` and see that the
latest version was located.
Since ``pip3 install --user`` does not work correctly on some platforms,
notably Ubuntu 16.04 and older, and the Homebrew version of Python,
instead use this for a system wide installation:
.. code-block:: bash
pip3 install ocrmypdf
Requirements for pip and HEAD install
-------------------------------------
OCRmyPDF currently requires these external programs and libraries to be
installed, and must be satisfied using the operating system package
manager. ``pip`` cannot provide them.
- Python 3.6 or newer
- Ghostscript 9.15 or newer
- qpdf 8.1.0 or newer
- Tesseract 4.0.0-beta or newer
As of ocrmypdf 7.2.1, the following versions are recommended:
- Python 3.7 or 3.8
- Ghostscript 9.23 or newer
- qpdf 8.2.1
- Tesseract 4.0.0 or newer
- jbig2enc 0.29 or newer
- pngquant 2.5 or newer
- unpaper 6.1
jbig2enc, pngquant, and unpaper are optional. If missing certain
features are disabled. OCRmyPDF will discover them as soon as they are
available.
**jbig2enc**, if present, will be used to optimize the encoding of
monochrome images. This can significantly reduce the file size of the
output file. It is not required.
`jbig2enc <https://github.com/agl/jbig2enc>`__ is not generally
available for Ubuntu or Debian due to lingering concerns about patent
issues, but can easily be built from source. To add JBIG2 encoding, see
:ref:`jbig2`.
**pngquant**, if present, is optionally used to optimize the encoding of
PNG-style images in PDFs (actually, any that are that losslessly
encoded) by lossily quantizing to a smaller color palette. It is only
activated then the ``--optimize`` argument is ``2`` or ``3``.
**unpaper**, if present, enables the ``--clean`` and ``--clean-final``
command line options.
These are in addition to the Python packaging dependencies, meaning that
unfortunately, the ``pip install`` command cannot satisfy all of them.
Installing HEAD revision from sources
=====================================
If you have ``git`` and Python 3.6 or newer installed, you can install
from source. When the ``pip`` installer runs, it will alert you if
dependencies are missing.
If you prefer to build every from source, you will need to `build
pikepdf from
source <https://pikepdf.readthedocs.io/en/latest/installation.html#building-from-source>`__.
First ensure you can build and install pikepdf.
To install the HEAD revision from sources in the current Python 3
environment:
.. code-block:: bash
pip3 install git+https://github.com/jbarlow83/OCRmyPDF.git
Or, to install in `development
mode <https://pythonhosted.org/setuptools/setuptools.html#development-mode>`__,
allowing customization of OCRmyPDF, use the ``-e`` flag:
.. code-block:: bash
pip3 install -e git+https://github.com/jbarlow83/OCRmyPDF.git
You may find it easiest to install in a virtual environment, rather than
system-wide:
.. code-block:: bash
git clone -b master https://github.com/jbarlow83/OCRmyPDF.git
python3 -m venv
source venv/bin/activate
cd OCRmyPDF
pip3 install .
However, ``ocrmypdf`` will only be accessible on the system PATH when
you activate the virtual environment.
To run the program:
.. code-block:: bash
ocrmypdf --help
If not yet installed, the script will notify you about dependencies that
need to be installed. The script requires specific versions of the
dependencies. Older version than the ones mentioned in the release notes
are likely not to be compatible to OCRmyPDF.
For development
---------------
To install all of the development and test requirements:
.. code-block:: bash
git clone -b master https://github.com/jbarlow83/OCRmyPDF.git
python3 -m venv
source venv/bin/activate
cd OCRmyPDF
pip install -e .
pip install -r requirements/dev.txt -r requirements/test.txt
To add JBIG2 encoding, see :ref:`jbig2`.
Shell completions
=================
Completions for ``bash`` and ``fish`` are available in the project's
``misc/completion`` folder. The ``bash`` completions are likely ``zsh``
compatible but this has not been confirmed. Package maintainers, please
install these at the appropriate locations for your system.
To manually install the ``bash`` completion, copy
``misc/completion/ocrmypdf.bash`` to ``/etc/bash_completion.d/ocrmypdf``
(rename the file).
To manually install the ``fish`` completion, copy
``misc/completion/ocrmypdf.fish`` to
``~/.config/fish/completions/ocrmypdf.fish``.
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@@ -1,228 +0,0 @@
============
Introduction
============
OCRmyPDF is a Python 3 application and library that adds OCR layers to PDFs.
About OCR
=========
`Optical character
recognition <https://en.wikipedia.org/wiki/Optical_character_recognition>`__
is technology that converts images of typed or handwritten text, such as
in a scanned document, to computer text that can be selected, searched and copied.
OCRmyPDF uses
`Tesseract <https://github.com/tesseract-ocr/tesseract>`__, the best
available open source OCR engine, to perform OCR.
.. _raster-vector:
About PDFs
==========
PDFs are page description files that attempts to preserve a layout
exactly. They contain `vector
graphics <http://vector-conversions.com/vectorizing/raster_vs_vector.html>`__
that can contain raster objects such as scanned images. Because PDFs can
contain multiple pages (unlike many image formats) and can contain fonts
and text, it is a good formats for exchanging scanned documents.
|image|
A PDF page might contain multiple images, even if it only appears to
have one image. Some scanners or scanning software will segment pages
into monochromatic text and color regions for example, to improve the
compression ratio and appearance of the page.
Rasterizing a PDF is the process of generating an image suitable for
display or analyzing with an OCR engine. OCR engines like Tesseract work
with images, not vector objects.
About PDF/A
===========
`PDF/A <https://en.wikipedia.org/wiki/PDF/A>`__ is an ISO-standardized
subset of the full PDF specification that is designed for archiving (the
'A' stands for Archive). PDF/A differs from PDF primarily by omitting
features that would make it difficult to read the file in the future,
such as embedded Javascript, video, audio and references to external
fonts. All fonts and resources needed to interpret the PDF must be
contained within it. Because PDF/A disables Javascript and other types
of embedded content, it is probably more secure.
There are various conformance levels and versions, such as "PDF/A-2b".
Generally speaking, the best format for scanned documents is PDF/A. Some
governments and jurisdictions, US Courts in particular, `mandate the use
of PDF/A <https://pdfblog.com/2012/02/13/what-is-pdfa/>`__ for scanned
documents.
Since most people who scan documents are interested in reading them
indefinitely into the future, OCRmyPDF generates PDF/A-2b by default.
PDF/A has a few drawbacks. Some PDF viewers include an alert that the
file is a PDF/A, which may confuse some users. It also tends to produce
larger files than PDF, because it embeds certain resources even if they
are commonly available. PDF/A files can be digitally signed, but may not
be encrypted, to ensure they can be read in the future. Fortunately,
converting from PDF/A to a regular PDF is trivial, and any PDF viewer
can view PDF/A.
What OCRmyPDF does
==================
OCRmyPDF analyzes each page of a PDF to determine the colorspace and
resolution (DPI) needed to capture all of the information on that page
without losing content. It uses
`Ghostscript <http://ghostscript.com/>`__ to rasterize the page, and
then performs on OCR on the rasterized image to create an OCR "layer".
The layer is then grafted back onto the original PDF.
While one can use a program like Ghostscript or ImageMagick to get an
image and put the image through Tesseract, that actually creates a new
PDF and many details may be lost. OCRmyPDF can produce a minimally
changed PDF as output.
OCRmyPDF also some image processing options like deskew which improve
the appearance of files and quality of OCR. When these are used, the OCR
layer is grafted onto the processed image instead.
By default, OCRmyPDF produces archival PDFs PDF/A, which are a
stricter subset of PDF features designed for long term archives. If
regular PDFs are desired, this can be disabled with
``--output-type pdf``.
Why you shouldn't do this manually
==================================
A PDF is similar to an HTML file, in that it contains document structure
along with images. Sometimes a PDF does nothing more than present a full
page image, but often there is additional content that would be lost.
A manual process could work like either of these:
1. Rasterize each page as an image, OCR the images, and combine the
output into a PDF. This preserves the layout of each page, but
resamples all images (possibly losing quality, increasing file size,
introducing compression artifacts, etc.).
2. Extract each image, OCR, and combine the output into a PDF. This
loses the context in which images are used in the PDF, meaning that
cropping, rotation and scaling of pages may be lost. Some scanned
PDFs use multiple images segmented into black and white, grayscale
and color regions, with stencil masks to prevent overlap, as this can
enhance the appearance of a file while reducing file size. Clearly,
reassembling these images will be easy. This also loses and text or
vector art on any pages in a PDF with both scanned and pure digital
content.
In the case of a PDF that is nothing other than a container of images
(no rotation, scaling, cropping, one image per page), the second
approach can be lossless.
OCRmyPDF uses several strategies depending on input options and the
input PDF itself, but generally speaking it rasterizes a page for OCR
and then grafts the OCR back onto the original. As such it can handle
complex PDFs and still preserve their contents as much as possible.
OCRmyPDF also supports a many, many edge cases that have cropped over
several years of development. We support PDF features like images inside
of Form XObjects, and pages with UserUnit scaling. We support rare image
formats like non-monochrome 1-bit images. We warn about files you may
not to OCR. Thanks to pikepdf and QPDF, we auto-repair PDFs that are
damaged. (Not that you need to know what any of these are! You should be
able to throw any PDF at it.)
Limitations
===========
OCRmyPDF is limited by the Tesseract OCR engine. As such it experiences
these limitations, as do any other programs that rely on Tesseract:
- The OCR is not as accurate as commercial solutions such as Abbyy.
- It is not capable of recognizing handwriting.
- It may find gibberish and report this as OCR output.
- If a document contains languages outside of those given in the
``-l LANG`` arguments, results may be poor.
- It is not always good at analyzing the natural reading order of
documents. For example, it may fail to recognize that a document
contains two columns, and may try to join text across columns.
- Poor quality scans may produce poor quality OCR. Garbage in, garbage
out.
- It does not expose information about what font family text belongs
to.
OCRmyPDF is also limited by the PDF specification:
- PDF encodes the position of text glyphs but does not encode document
structure. There is no markup that divides a document in sections,
paragraphs, sentences, or even words (since blank spaces are not
represented). As such all elements of document structure including
the spaces between words must be derived heuristically. Some PDF
viewers do a better job of this than others.
- Because some popular open source PDF viewers have a particularly hard
time with spaces between words, OCRmyPDF appends a space to each text
element as a workaround (when using ``--pdf-renderer hocr``). While
this mixes document structure with graphical information that ideally
should be left to the PDF viewer to interpret, it improves
compatibility with some viewers and does not cause problems for
better ones.
Ghostscript also imposes some limitations:
- PDFs containing JBIG2-encoded content will be converted to CCITT
Group4 encoding, which has lower compression ratios, if Ghostscript
PDF/A is enabled.
- PDFs containing JPEG 2000-encoded content will be converted to JPEG
encoding, which may introduce compression artifacts, if Ghostscript
PDF/A is enabled.
- Ghostscript may transcode grayscale and color images, either lossy to
lossless or lossless to lossy, based on an internal algorithm. This
behavior can be suppressed by setting ``--pdfa-image-compression`` to
``jpeg`` or ``lossless`` to set all images to one type or the other.
Ghostscript has no option to maintain the input image's format.
(Ghostscript 9.25+ can copy JPEG images without transcoding them;
earlier versions will transcode.)
- Ghostscript's PDF/A conversion removes any XMP metadata that is not
one of the standard XMP metadata namespaces for PDFs. In particular,
PRISM Metdata is removed.
Regarding OCRmyPDF itself:
- PDFs that use transparency are not currently represented in the test
suite
Similar programs
================
To the author's knowledge, OCRmyPDF is the most feature-rich and
thoroughly tested command line OCR PDF conversion tool. If it does not
meet your needs, contributions and suggestions are welcome. If not,
consider one of these similar open source programs:
- pdf2pdfocr
- pdfsandwich
- pypdfocr
- pdfbeads
Web front-ends
==============
The Docker image ``ocrmypdf`` provides a web service front-end
that allows files to submitted over HTTP and the results "downloaded".
This is an HTTP server intended to simplify web services deployments; it
is not intended to be deployed on the public internet and no real
security measures to speak of.
In addition, the following third-party integrations are available:
- `Nextcloud OCR <https://github.com/janis91/ocr>`__ is a free software
plugin for the Nextcloud private cloud software
OCRmyPDF is not designed to be secure against malware-bearing PDFs (see
`Using OCRmyPDF online <ocr-service>`__). Users should ensure they
comply with OCRmyPDF's licenses and the licenses of all dependencies. In
particular, OCRmyPDF requires Ghostscript, which is licensed under
AGPLv3.
.. |image| image:: images/bitmap_vs_svg.svg
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.. _jbig2:
============================
Installing the JBIG2 encoder
============================
Most Linux distributions do not include a JBIG2 encoder since JBIG2
encoding was patented for a long time. All known JBIG2 US patents have
expired as of 2017, but it is possible that unknown patents exist.
JBIG2 encoding is recommended for OCRmyPDF and is used to losslessly
create smaller PDFs. If JBIG2 encoding not available, lower quality
encodings will be used.
JBIG2 decoding is not patented and is performed automatically by most
PDF viewers. It is widely supported has been part of the PDF
specification since 2001.
On macOS, Homebrew packages jbig2enc and OCRmyPDF includes it by
default. The Docker image for OCRmyPDF also builds its own JBIG2 encoder
from source.
For all other Linux, you must build a JBIG2 encoder from source:
.. code-block:: bash
git clone https://github.com/agl/jbig2enc
cd jbig2enc
./autogen.sh
./configure && make
[sudo] make install
.. _jbig2-lossy:
Lossy mode JBIG2
================
OCRmyPDF provides lossy mode JBIG2 as an advanced feature. Users should
`review the technical concerns with JBIG2 in lossy
mode <https://abbyy.technology/en:kb:tip:jbig2_compression_and_ocr>`__
and decide if this feature is acceptable for their use case.
JBIG2 lossy mode does achieve higher compression ratios than any other
monochrome (bitonal) compression technology; for large text documents
the savings are considerable. JBIG2 lossless still gives great
compression ratios and is a major improvement over the older CCITT G4
standard. As explained above, there is some risk of substitution errors.
To turn on JBIG2 lossy mode, add the argument ``--jbig2-lossy``.
``--optimize {1,2,3}`` are necessary for the argument to take effect
also required. Also, a JBIG2 encoder must be installed as described in
the previous section.
*Due to an oversight, ocrmypdf v7.0 and v7.1 used lossy mode by
default.*
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.. _lang-packs:
====================================
Installing additional language packs
====================================
OCRmyPDF uses Tesseract for OCR, and relies on its language packs for all languages.
On most platforms, English is installed with Tesseract by default, but not always.
Tesseract supports `most
languages <https://github.com/tesseract-ocr/tesseract/blob/master/doc/tesseract.1.asc#languages>`__.
Languages are identified by standardized three-letter codes (called ISO 639-2 Alpha-3).
Tesseract's documentation also lists the three-letter code for your language.
Some are anglicized, e.g. Spanish is ``spa`` rather than ``esp``, while others
are not, e.g. German is ``deu``.
After you have installed a language pack, you can use it ``ocrmypdf -l <language>``,
for example ``ocrmypdf -l spa``. For multilingual documents, you can specify
all languages to be expected, e.g. ``ocrmypdf -l eng+fra`` for English and French.
English is assumed by default unless other language(s) are specified.
For Linux users, you can often find packages that provide language
packs:
Debian and Ubuntu users
=======================
.. code-block:: bash
# Display a list of all Tesseract language packs
apt-cache search tesseract-ocr
# Install Chinese Simplified language pack
apt-get install tesseract-ocr-chi-sim
You can then pass the ``-l LANG`` argument to OCRmyPDF to give a hint as
to what languages it should search for. Multiple languages can be
requested using either ``-l eng+fre`` (English and French) or
``-l eng -l fre``.
Fedora users
============
.. code-block:: bash
# Display a list of all Tesseract language packs
dnf search tesseract
# Install Chinese Simplified language pack
dnf install tesseract-langpack-chi_sim
You can then pass the ``-l LANG`` argument to OCRmyPDF to give a hint as
to what languages it should search for. Multiple languages can be
requested using either ``-l eng+fre`` (English and French) or
``-l eng -l fre``.
macOS users
===========
You can install additional language packs by
:ref:`installing Tesseract using Homebrew with all language packs <macos-all-languages>`.
Docker users
============
Users of the OCRmyPDF Docker image should install language packs into a
derived Docker image as
:ref:`described in that section <docker-lang-packs>`.
Windows users
=============
The Tesseract installer provided by Chocolatey already includes 100 languages.
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================
PDF optimization
================
OCRmyPDF includes an image-oriented PDF optimizer. By default, the optimizer
runs with safe settings with the goal of improving compression at no loss of
quality. At higher optimization levels, lossy optimizations may be applied and
tuned. Optimization occurs after OCR, and only if OCR succeeded. It does not
perform other possible optimizations such as deduplicating resources,
consolidating fonts, simplifying vector drawings, or anything of that nature.
Optimization ranges from ``-O0`` through ``-O3``, where ``0`` disables
optimization and ``3`` implements all options. ``1``, the default, performs only
safe and lossless optimizations. (This is similar to GCC's optimization
parameter.) The exact type of optimizations performed will vary over time.
PDF optimization requires third-party, optional tools for certain optimizations.
If these are not installed or cannot be found by OCRmyPDF, optimization will not
be as good.
Optimizations that always occurs
================================
OCRmyPDF will automatically replace obsolete or inferior compression schemes
such as RLE or LZW with superior schemes such as Deflate and converting
monochrome images to CCITT G4. Since this is harmless it always occurs and there
is no way to disable it. Other non-image compressed objects are compressed as
well.
Fast web view
=============
OCRmyPDF automatically optimizes PDFs for "fast web view" in Adobe Acrobat's
parlance, or equivalently, linearizes PDFs so that the resources they reference
are presented in the order a viewer needs them for sequential display. This
reduces the latency of viewing a PDF both online and from local storage. This
actually slightly increases the file size.
To disable this optimization and all others, use ``ocrmypdf --optimize 0 ...``
or the shorthand ``-O0``.
Lossless optimizations
======================
At optimization level ``-O1`` (the default), OCRmyPDF will also attempt lossless
image optimization.
If a JBIG2 encoder is available, then monochrome images will be converted to
JBIG2, with the potential for huge savings on large black and white images,
since JBIG2 is far more efficient than any other monochrome (bi-level)
compression. (All known US patents related to JBIG2 have probably expired, but
it remains the responsibility of the user to supply a JBIG2 encoder such as
`jbig2enc <https://github.com/agl/jbig2enc>`__. OCRmyPDF does not implement
JBIG2 encoding on its own.)
OCRmyPDF currently does not attempt to recompress losslessly compressed objects
more aggressively.
Lossy optimizations
===================
At optimization level ``-O2`` and ``-O3``, OCRmyPDF will some attempt lossy
image optimization.
If ``pngquant`` is installed, OCRmyPDF will use it to perform quantize paletted
images to reduce their size.
The quality of JPEGs may be lowered, on the assumption that a lower quality
image may be suitable for storage after OCR.
It is not possible to optimize all image types. Uncommon image types may be
skipped by the optimizer.
OCRmyPDF provides :ref:`lossy mode JBIG2 <jbig2-lossy>` as an advanced feature
that additional requires the argument ``--jbig2-lossy``.
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<title>t5&#45;&gt;t6</title>
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<title>t5&#45;&gt;t13</title>
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<title>t6&#45;&gt;t12</title>
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<title>t9&#45;&gt;t12</title>
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=======
Plugins
=======
You can use plugins to customize the behavior of OCRmyPDF at certain
points of interest.
Currently, it is possible to: - override the decision for whether or not
to perform OCR on a particular file - modify the image is about to be
sent for OCR
How plugins are imported
========================
Plugins are imported on demand, by the OCRmyPDF worker process that
needs to use them. As such, plugins cannot share state with each other,
and will be imported many times, once for each worker process.
Plugins currently cannot override the same hook.
How plugins are invoked
=======================
Plugins may be called from the command line:
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===================
PDF security issues
===================
OCRmyPDF should only be used on PDFs you trust. It is not designed to
protect you against malware.
Recognizing that many users have an interest in handling PDFs and
applying OCR to PDFs they did not generate themselves, this article
discusses the security implications of PDFs and how users can protect
themselves.
The disclaimer applies: this software has no warranties of any kind.
PDFs may contain malware
========================
PDF is a rich, complex file format. The official PDF 1.7 specification,
ISO 32000:2008, is hundreds of pages long and references several annexes
each of which are similar in length. PDFs can contain video, audio, XML,
JavaScript and other programming, and forms. In some cases, they can
open internet connections to pre-selected URLs. All of these possible
attack vectors.
In short, PDFs `may contain
viruses <https://security.stackexchange.com/questions/64052/can-a-pdf-file-contain-a-virus>`__.
This
`article <https://theinvisiblethings.blogspot.ca/2013/02/converting-untrusted-pdfs-into-trusted.html>`__
describes a high-paranoia method which allows potentially hostile PDFs
to be viewed and rasterized safely in a disposable virtual machine. A
trusted PDF created in this manner is converted to images and loses all
information making it searchable and losing all compression. OCRmyPDF
could be used restore searchability.
How OCRmyPDF processes PDFs
===========================
OCRmyPDF must open and interpret your PDF in order to insert an OCR
layer. First, it runs all PDFs through
`pikepdf <https://github.com/pikepdf/pikepdf>`__, a library based on
`qpdf <https://github.com/qpdf/qpdf>`__, a program that repairs PDFs
with syntax errors. This is done because, in the author's experience, a
significant number of PDFs in the wild especially those created by
scanners are not well-formed files. qpdf makes it more likely that
OCRmyPDF will succeed, but offers no security guarantees. qpdf is also
used to split the PDF into single page PDFs.
Finally, OCRmyPDF rasterizes each page of the PDF using
`Ghostscript <http://ghostscript.com/>`__ in ``-dSAFER`` mode.
Depending on the options specified, OCRmyPDF may graft the OCR layer
into the existing PDF or it may essentially reconstruct ("re-fry") a
visually identical PDF that may be quite different at the binary level.
That said, OCRmyPDF is not a tool designed for sanitizing PDFs.
.. _ocr-service:
Using OCRmyPDF online or as a service
=====================================
OCRmyPDF is not designed for use as a public web service where a
malicious user could upload a chosen PDF. In particular, it is not
necessarily secure against PDF malware or PDFs that cause denial of
service. OCRmyPDF relies on Ghostscript, and therefore, if deployed
online one should be prepared to comply with Ghostscript's Affero GPL
license, OCRmyPDF's GPL license, and any other licenses.
Setting aside these concerns, a side effect of OCRmyPDF is it may
incidentally sanitize PDFs that contain certain types of malware. It
runs ``qpdf`` to repair the PDF, which could correct malformed PDF
structures that are part of an attack. When PDF/A output is selected
(the default), the input PDF is partially reconstructed by Ghostscript.
When ``--force-ocr`` is used, all pages are rasterized and reconverted
to PDF, which could remove malware in embedded images.
OCRmyPDF should be relatively safe to use in a trusted intranet, with
some considerations:
Limiting CPU usage
------------------
OCRmyPDF will attempt to use all available CPUs and storage, so
executing ``nice ocrmypdf`` or limiting the number of jobs with the
``-j`` argument may ensure the server remains available. Another option
would be run OCRmyPDF jobs inside a Docker container, a virtual machine,
or a cloud instance, which can impose its own limits on CPU usage and be
terminated "from orbit" if it fails to complete.
Temporary storage requirements
------------------------------
OCRmyPDF will use a large amount of temporary storage for its work,
proportional to the total number of pixels needed to rasterize the PDF.
The raster image of a 8.5×11" color page at 300 DPI takes 25 MB
uncompressed; OCRmyPDF saves its intermediates as PNG, but that still
means it requires about 9 MB per intermediate based on average
compression ratios. Multiple intermediates per page are also required,
depending on the command line given. A rule of thumb would be to allow
100 MB of temporary storage per page in a file meaning that a small
cloud servers or small VM partitions should be provisioned with plenty
of extra space, if say, a 500 page file might be sent.
To check temporary storage usage on actual files, run
``ocrmypdf -k ...`` which will preserve and print the path to temporary
storage when the job is done.
To change where temporary files are stored, change the ``TMPDIR``
environment variable for ocrmypdf's environment. (Python's
``tempfile.gettempdir()`` returns the root directory in which temporary
files will be stored.) For example, one could redirect ``TMPDIR`` to a
large RAM disk to avoid wear on HDD/SSD and potentially improve
performance. On Amazon Web Services, ``TMPDIR`` can be set to `empheral
storage <https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/InstanceStorage.html>`__.
Timeouts
--------
To prevent excessively long OCR jobs consider setting
``--tesseract-timeout`` and/or ``--skip-big`` arguments. ``--skip-big``
is particularly helpful if your PDFs include documents such as reports
on standard page sizes with large images attached - often large images
are not worth OCR'ing anyway.
Commercial alternatives
-----------------------
The author also provides professional services that include OCR and
building databases around PDFs, and is happy to provide consultation.
Abbyy Cloud OCR is a viable commercial alternative with a web services
API.
Password protection, digital signatures and certification
=========================================================
Password protected PDFs usually have two passwords, and owner and user
password. When the user password is set to empty, PDF readers will open
the file automatically and marked it as "(SECURED)". While not as
reliable as a digital signature, this indicates that whoever set the
password approved of the file at that time. When the user password is
set, the document cannot be viewed without the password.
Either way, OCRmyPDF does not remove passwords from PDFs and exits with
an error on encountering them.
``qpdf``, one of OCRmyPDF's dependencies, can remove passwords. If the
owner and user password are set, a password is required for ``qpdf``. If
only the owner password is set, then the password can be stripped, even
if one does not have the owner password.
After OCR is applied, password protection is not permitted on PDF/A
documents but the file can be converted to regular PDF.
Many programs exist which are capable of inserting an image of someone's
signature. On its own, this offers no security guarantees. It is trivial
to remove the signature image and apply it to other files. This practice
offers no real security.
Important documents can be digitally signed and certified to attest to
their authorship. OCRmyPDF cannot do this. Open source tools such as
pdfbox (Java) have this capability as does Adobe Acrobat.
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#!/usr/bin/env python3
# Original version by DeliciousPickle@github; modified
# This script must be edited to meet your needs.
import logging
import os
import sys
import ocrmypdf
# pylint: disable=logging-format-interpolation
# pylint: disable=logging-not-lazy
script_dir = os.path.dirname(os.path.realpath(__file__))
print(script_dir + '/batch.py: Start')
if len(sys.argv) > 1:
start_dir = sys.argv[1]
else:
start_dir = '.'
if len(sys.argv) > 2:
log_file = sys.argv[2]
else:
log_file = script_dir + '/ocr-tree.log'
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s %(message)s',
filename=log_file,
filemode='w',
)
ocrmypdf.configure_logging(ocrmypdf.Verbosity.default)
for dir_name, subdirs, file_list in os.walk(start_dir):
logging.info(dir_name + '\n')
os.chdir(dir_name)
for filename in file_list:
file_ext = os.path.splitext(filename)[1]
if file_ext == '.pdf':
full_path = dir_name + '/' + filename
print(full_path)
result = ocrmypdf.ocr(filename, filename, deskew=True)
if result == ocrmypdf.ExitCode.already_done_ocr:
print("Skipped document because it already contained text")
elif result == ocrmypdf.ExitCode.ok:
print("OCR complete")
logging.info(result)
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# ocrmypdf completion -*- shell-script -*-
set -o errexit
_ocrmypdf()
{
local cur prev cword words split
# Homebrew on Macs have version 1.3 of bash-completion which doesn't include - see #502
if declare -F _init_completions >/dev/null 2>&1; then
_init_completion -s || return
else
COMPREPLY=()
_get_comp_words_by_ref cur prev words cword
fi
if [[ $cur == -* ]]; then
COMPREPLY=( $( compgen -W '--language --image-dpi --output-type
--sidecar --version --jobs --quiet --verbose --title --author
--subject --keywords --rotate-pages --remove-background --deskew
--clean --clean-final --unpaper-args --oversample --remove-vectors
--threshold --force-ocr --skip-text --redo-ocr
--skip-big --jpeg-quality --png-quality --jbig2-lossy
--max-image-mpixels --tesseract-config --tesseract-pagesegmode
--help --tesseract-oem --pdf-renderer --tesseract-timeout
--rotate-pages-threshold --pdfa-image-compression --user-words
--user-patterns --keep-temporary-files --output-type
--no-progress-bar --pages --fast-web-view' \
-- "$cur" ) )
return
else
_filedir
return
fi
case $prev in
--version|-h|--help)
return
;;
--user-words|--user-patterns|--tesseract-config)
_filedir
return
;;
--output-type)
COMPREPLY=( $( compgen -W 'pdfa pdf pdfa-1 pdfa-2 pdfa-3' -- \
"$cur" ) )
return
;;
--pdf-renderer)
COMPREPLY=( $( compgen -W 'auto hocr sandwich' -- "$cur" ) )
return
;;
--pdfa-image-compression)
COMPREPLY=( $( compgen -W 'auto jpeg lossless' -- "$cur" ) )
return
;;
-O|--optimize|--tesseract-oem)
COMPREPLY=( $( compgen -W '{0..3}' -- "$cur" ) )
return
;;
--jpeg-quality|--png-quality)
COMPREPLY=( $( compgen -W '{0..100}' -- "$cur" ) )
return
;;
-l|--language)
COMPREPLY=$( command tesseract --list-langs 2>/dev/null )
COMPREPLY=( $( compgen -W '${COMPREPLY[@]##*:}' -- "$cur" ) )
return
;;
--image-dpi|--oversample|--skip-big|--max-image-mpixels|\
--tesseract-timeout|--rotate-pages-threshold)
COMPREPLY=( $( compgen -P "$cur" -W '{0..9}' ) )
return
;;
-j|--jobs)
COMPREPLY=( $( compgen -W '{1..'$( _ncpus )'}' -- "$cur" ) )
return
;;
-v|--verbose)
COMPREPLY=( $( compgen -W '{0..2}' -- "$cur" ) ) # max level ?
return
;;
--tesseract-pagesegmode)
COMPREPLY=( $( compgen -W '{1..13}' -- "$cur" ) )
return
;;
--sidecar|--title|--author|--subject|--keywords|--unpaper-args|--pages|--fast-web-view)
# argument required but no completions available
return
;;
esac
$split && return
} &&
complete -F _ocrmypdf ocrmypdf
set +o errexit
# ex: filetype=sh
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complete -c ocrmypdf -x -n '__fish_is_first_arg' -l version
complete -c ocrmypdf -x -n '__fish_is_first_arg' -s h -s "?" -l help
complete -c ocrmypdf -r -l sidecar -d "write OCR to text file"
complete -c ocrmypdf -x -s q -l quiet
complete -c ocrmypdf -s r -l rotate-pages -d "rotate pages to correct orientation"
complete -c ocrmypdf -s d -l deskew -d "fix small horizontal alignment skew"
complete -c ocrmypdf -s c -l clean -d "clean document images before OCR"
complete -c ocrmypdf -s i -l clean-final -d "clean document images and keep result"
complete -c ocrmypdf -l remove-vectors -d "don't send vector objects to OCR"
complete -c ocrmypdf -l threshold -d "threshold images before OCR"
complete -c ocrmypdf -s f -l force-ocr -d "OCR documents that already have printable text"
complete -c ocrmypdf -s s -l skip-ocr -d "skip OCR on pages that text, otherwise try OCR"
complete -c ocrmypdf -l redo-ocr -d "redo OCR on any pages that seem to have OCR already"
complete -c ocrmypdf -s k -l keep-temporary-files -d "keep temporary files (debug)"
function __fish_ocrmypdf_languages
set langs (tesseract --list-langs ^/dev/null)
set arr (string split '\n' $langs)
for lang in $arr[2..-1]
echo $lang
end
end
complete -c ocrmypdf -x -s l -l language -a '(__fish_ocrmypdf_languages)' -d "language"
complete -c ocrmypdf -x -l image-dpi -d "assume this DPI if input image DPI is unknown"
function __fish_ocrmypdf_output_type
echo -e "pdfa\t"(_ "output a PDF/A (default)")
echo -e "pdf\t"(_ "output a standard PDF")
echo -e "pdfa-1\t"(_ "output a PDF/A-1b")
echo -e "pdfa-2\t"(_ "output a PDF/A-2b")
echo -e "pdfa-3\t"(_ "output a PDF/A-3b")
end
complete -c ocrmypdf -x -l output-type -a '(__fish_ocrmypdf_output_type)' -d "select PDF output options"
function __fish_ocrmypdf_pdf_renderer
echo -e "auto\t"(_ "auto select PDF renderer")
echo -e "hocr\t"(_ "use hocr renderer")
echo -e "sandwich\t"(_ "use sandwich renderer")
end
complete -c ocrmypdf -x -l pdf-renderer -a '(__fish_ocrmypdf_pdf_renderer)' -d "select PDF renderer options"
function __fish_ocrmypdf_optimize
echo -e "0\t"(_ "do not optimize")
echo -e "1\t"(_ "do safe, lossless optimizations (default)")
echo -e "2\t"(_ "do some lossy optimizations")
echo -e "3\t"(_ "do aggressive lossy optimizations (including lossy JBIG2)")
end
complete -c ocrmypdf -x -s O -l optimize -a '(__fish_ocrmypdf_optimize)' -d "select optimization level"
function __fish_ocrmypdf_verbose
echo -e "0\t"(_ "standard output messages")
echo -e "1\t"(_ "troubleshooting output messages")
echo -e "2\t"(_ "debugging output messages")
end
complete -c ocrmypdf -x -s v -l verbose -a '(__fish_ocrmypdf_verbose)' -d "set verbosity level"
complete -c ocrmypdf -x -l no-progress-bar -d "disable the progress bar"
function __fish_ocrmypdf_pdfa_compression
echo -e "auto\t"(_ "let Ghostscript decide how to compress images")
echo -e "jpeg\t"(_ "convert color and grayscale images to JPEG")
echo -e "lossless\t"(_ "convert color and grayscale images to lossless (PNG)")
end
complete -c ocrmypdf -x -l pdfa-image-compression -a '(__fish_ocrmypdf_pdfa_compression)' -d "set PDF/A image compression options"
complete -c ocrmypdf -x -s j -l jobs -d "how many worker processes to use"
complete -c ocrmypdf -x -l title -d "set metadata"
complete -c ocrmypdf -x -l author -d "set metadata"
complete -c ocrmypdf -x -l subject -d "set metadata"
complete -c ocrmypdf -x -l keywords -d "set metadata"
complete -c ocrmypdf -x -l oversample -d "oversample images to this DPI"
complete -c ocrmypdf -x -l skip-big -d "skip OCR on pages larger than this many MPixels"
complete -c ocrmypdf -x -l jpeg-quality -d "JPEG quality [0..100]"
complete -c ocrmypdf -x -l png-quality -d "PNG quality [0..100]"
complete -c ocrmypdf -x -l jbig2-lossy -d "enable lossy JBIG2 (see docs)"
complete -c ocrmypdf -x -l max-image-mpixels -d "image decompression bomb threshold"
complete -c ocrmypdf -x -l pages -d "apply OCR to only the specified pages"
complete -c ocrmypdf -x -l tesseract-config -d "set custom tesseract config file"
function __fish_ocrmypdf_tesseract_pagesegmode
echo -e "0\t"(_ "orientation and script detection (OSD) only")
echo -e "1\t"(_ "automatic page segmentation with OSD")
echo -e "2\t"(_ "automatic page segmentation, but no OSD, or OCR")
echo -e "3\t"(_ "fully automatic page segmentation, but no OSD (default)")
echo -e "4\t"(_ "assume a single column of text of variable sizes")
echo -e "5\t"(_ "assume a single uniform block of vertically aligned text")
echo -e "6\t"(_ "assume a single uniform block of text")
echo -e "7\t"(_ "treat the image as a single text line")
echo -e "8\t"(_ "treat the image as a single word")
echo -e "9\t"(_ "treat the image as a single word in a circle")
echo -e "10\t"(_ "treat the image as a single character")
echo -e "11\t"(_ "sparse text - find as much text as possible in no particular order")
echo -e "12\t"(_ "sparse text with OSD")
echo -e "13\t"(_ "raw line - treat the image as a single text line")
end
complete -c ocrmypdf -x -l tesseract-pagesegmode -a '(__fish_ocrmypdf_tesseract_pagesegmode)' -d "set tesseract --psm"
function __fish_ocrmypdf_tesseract_oem
echo -e "0\t"(_ "legacy engine only")
echo -e "1\t"(_ "neural nets LSTM engine only")
echo -e "2\t"(_ "legacy + LSTM engines")
echo -e "3\t"(_ "default, based on what is available")
end
complete -c ocrmypdf -x -l tesseract-oem -a '(__fish_ocrmypdf_tesseract_oem)' -d "set tesseract --oem"
complete -c ocrmypdf -x -l tesseract-timeout -d "maximum number of seconds to wait for OCR"
complete -c ocrmypdf -x -l rotate-pages-threshold -d "page rotation confidence"
complete -c ocrmypdf -r -l user-words -d "specify location of user words file"
complete -c ocrmypdf -r -l user-patterns -d "specify location of user patterns file"
complete -c ocrmypdf -x -l fast-web-view -d "if file size if above this amount in MB, linearize PDF"
complete -c ocrmypdf -x -a "(__fish_complete_suffix .pdf)"
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---
version: "3.3"
services:
ocrmypdf:
restart: always
container_name: ocrmypdf
image: jbarlow83/ocrmypdf
volumes:
- "/media/scan:/input"
- "/mnt/scan:/output"
environment:
- OCR_OUTPUT_DIRECTORY_YEAR_MONT=0
user: "<SET TO YOUR USER ID>:<SET TO YOUR GROUP ID>"
entrypoint: python3
command: watcher.py
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#!/bin/env python3
# Contributed by github.com/Enantiomerie
# This script must be edited to meet your needs.
import logging
import os
import shutil
import subprocess
import sys
import time
# pylint: disable=logging-format-interpolation
# pylint: disable=logging-not-lazy
script_dir = os.path.dirname(os.path.realpath(__file__))
timestamp = time.strftime("%Y-%m-%d-%H%M_")
log_file = script_dir + '/' + timestamp + 'ocrmypdf.log'
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s %(message)s',
filename=log_file,
filemode='w',
)
if len(sys.argv) > 1:
start_dir = sys.argv[1]
else:
start_dir = '.'
for dir_name, subdirs, file_list in os.walk(start_dir):
logging.info(dir_name)
os.chdir(dir_name)
for filename in file_list:
file_stem, file_ext = os.path.splitext(filename)
if file_ext != '.pdf':
continue
full_path = os.path.join(dir_name, filename)
timestamp_ocr = time.strftime("%Y-%m-%d-%H%M_OCR_")
filename_ocr = timestamp_ocr + file_stem + '.pdf'
# create string for pdf processing
# the script is processed as root user via chron
cmd = [
'docker',
'run',
'--rm',
'-i',
'jbarlow83/ocrmypdf',
'--deskew',
'-',
'-',
]
logging.info(cmd)
full_path_ocr = os.path.join(dir_name, filename_ocr)
with open(filename, 'rb') as input_file, open(
full_path_ocr, 'wb'
) as output_file:
proc = subprocess.run(
cmd,
stdin=input_file,
stdout=output_file,
stderr=subprocess.PIPE,
check=False,
)
logging.info(proc.stderr.read())
os.chmod(full_path_ocr, 0o664)
os.chmod(full_path, 0o664)
full_path_ocr_archive = sys.argv[2]
full_path_archive = sys.argv[2] + '/no_ocr'
shutil.move(full_path_ocr, full_path_ocr_archive)
shutil.move(full_path, full_path_archive)
logging.info('Finished.\n')
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# Copyright (C) 2019 Ian Alexander: https://github.com/ianalexander
# Copyright (C) 2020 James R Barlow: https://github.com/jbarlow83
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
import json
import logging
import os
import sys
import time
from datetime import datetime
from pathlib import Path
import pikepdf
from watchdog.events import PatternMatchingEventHandler
from watchdog.observers import Observer
import ocrmypdf
# pylint: disable=logging-format-interpolation
INPUT_DIRECTORY = os.getenv('OCR_INPUT_DIRECTORY', '/input')
OUTPUT_DIRECTORY = os.getenv('OCR_OUTPUT_DIRECTORY', '/output')
OUTPUT_DIRECTORY_YEAR_MONTH = bool(os.getenv('OCR_OUTPUT_DIRECTORY_YEAR_MONTH', False))
ON_SUCCESS_DELETE = bool(os.getenv('OCR_ON_SUCCESS_DELETE', False))
DESKEW = bool(os.getenv('OCR_DESKEW', False))
OCR_JSON_SETTINGS = json.loads(os.getenv('OCR_JSON_SETTINGS', '{}'))
POLL_NEW_FILE_SECONDS = os.getenv('OCR_POLL_NEW_FILE_SECONDS', 1)
LOGLEVEL = os.environ.get('OCR_LOGLEVEL', 'INFO').upper()
PATTERNS = ['*.pdf']
log = logging.getLogger('ocrmypdf-watcher')
def get_output_dir(root, basename):
if OUTPUT_DIRECTORY_YEAR_MONTH:
today = datetime.today()
output_directory_year_month = (
Path(root) / str(today.year) / f'{today.month:02d}'
)
if not output_directory_year_month.exists():
output_directory_year_month.mkdir(parents=True, exist_ok=True)
output_path = Path(output_directory_year_month) / basename
else:
output_path = Path(OUTPUT_DIRECTORY) / basename
return output_path
def wait_for_file_ready(file_path):
# This loop waits to make sure that the file is completely loaded on
# disk before attempting to read. Docker sometimes will publish the
# watchdog event before the file is actually fully on disk, causing
# pikepdf to fail.
retries = 5
while retries:
try:
pdf = pikepdf.open(file_path)
except (FileNotFoundError, pikepdf.PdfError) as e:
log.info(f"File {file_path} is not ready yet")
log.debug("Exception was", exc_info=e)
time.sleep(POLL_NEW_FILE_SECONDS)
retries -= 1
else:
pdf.close()
return True
return False
def execute_ocrmypdf(file_path):
file_path = Path(file_path)
output_path = get_output_dir(OUTPUT_DIRECTORY, file_path.name)
log.info("-" * 20)
log.info(f'New file: {file_path}. Waiting until fully loaded...')
if not wait_for_file_ready(file_path):
log.info(f"Gave up waiting for {file_path} to become ready")
return
log.info(f'Attempting to OCRmyPDF to: {output_path}')
exit_code = ocrmypdf.ocr(
input_file=file_path,
output_file=output_path,
deskew=DESKEW,
**OCR_JSON_SETTINGS,
)
if exit_code == 0 and ON_SUCCESS_DELETE:
log.info(f'OCR is done. Deleting: {file_path}')
file_path.unlink()
else:
log.info('OCR is done')
class HandleObserverEvent(PatternMatchingEventHandler):
def on_any_event(self, event):
if event.event_type in ['created']:
execute_ocrmypdf(event.src_path)
def main():
ocrmypdf.configure_logging(
verbosity=ocrmypdf.Verbosity.default, manage_root_logger=True
)
log.info(
f"Starting OCRmyPDF watcher with config:\n"
f"Input Directory: {INPUT_DIRECTORY}\n"
f"Output Directory: {OUTPUT_DIRECTORY}\n"
f"Output Directory Year & Month: {OUTPUT_DIRECTORY_YEAR_MONTH}"
)
log.debug(
f"INPUT_DIRECTORY: {INPUT_DIRECTORY}\n"
f"OUTPUT_DIRECTORY: {OUTPUT_DIRECTORY}\n"
f"OUTPUT_DIRECTORY_YEAR_MONTH: {OUTPUT_DIRECTORY_YEAR_MONTH}\n"
f"ON_SUCCESS_DELETE: {ON_SUCCESS_DELETE}\n"
f"DESKEW: {DESKEW}\n"
f"ARGS: {OCR_JSON_SETTINGS}\n"
f"POLL_NEW_FILE_SECONDS: {POLL_NEW_FILE_SECONDS}\n"
f"LOGLEVEL: {LOGLEVEL}\n"
)
if 'input_file' in OCR_JSON_SETTINGS or 'output_file' in OCR_JSON_SETTINGS:
log.error('OCR_JSON_SETTINGS should not specify input file or output file')
sys.exit(1)
handler = HandleObserverEvent(patterns=PATTERNS)
observer = Observer()
observer.schedule(handler, INPUT_DIRECTORY, recursive=True)
observer.start()
try:
while True:
time.sleep(1)
except KeyboardInterrupt:
observer.stop()
observer.join()
if __name__ == "__main__":
main()
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# webservice.py wrapper for OCRmyPDF
# Copyright (C) 2019 James R. Barlow: github.com/jbarlow83
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
"""This is a simple web service/HTTP wrapper for OCRmyPDF
This may be more convenient than the command line tool for some Docker users.
Note that OCRmyPDF uses Ghostscript, which is licensed under AGPLv3+. While
OCRmyPDF is under GPLv3, this file is distributed under the Affero GPLv3+ license,
to emphasize that SaaS deployments should make sure they comply with
Ghostscript's license as well as OCRmyPDF's.
"""
import os
import shlex
from subprocess import PIPE, run
from tempfile import TemporaryDirectory
from flask import (
Flask,
Response,
abort,
flash,
redirect,
request,
send_from_directory,
url_for,
)
from werkzeug.utils import secure_filename
app = Flask(__name__)
app.secret_key = "secret"
app.config['MAX_CONTENT_LENGTH'] = 50_000_000
app.config.from_envvar("OCRMYPDF_WEBSERVICE_SETTINGS", silent=True)
ALLOWED_EXTENSIONS = set(["pdf"])
def allowed_file(filename):
return "." in filename and filename.rsplit(".", 1)[1].lower() in ALLOWED_EXTENSIONS
def do_ocrmypdf(file):
uploaddir = TemporaryDirectory(prefix="ocrmypdf-upload")
downloaddir = TemporaryDirectory(prefix="ocrmypdf-download")
filename = secure_filename(file.filename)
up_file = os.path.join(uploaddir.name, filename)
file.save(up_file)
down_file = os.path.join(downloaddir.name, filename)
cmd_args = [arg for arg in shlex.split(request.form["params"])]
if "--sidecar" in cmd_args:
return Response("--sidecar not supported", 501, mimetype='text/plain')
ocrmypdf_args = ["ocrmypdf", *cmd_args, up_file, down_file]
proc = run(ocrmypdf_args, stdout=PIPE, stderr=PIPE, encoding="utf-8")
if proc.returncode != 0:
stderr = proc.stderr
return Response(stderr, 400, mimetype='text/plain')
return send_from_directory(downloaddir.name, filename)
@app.route("/", methods=["GET", "POST"])
def upload_file():
if request.method == "POST":
if "file" not in request.files:
return Response("No file in POST", 400, mimetype='text/plain')
file = request.files["file"]
if file.filename == "":
return Response("Empty filename", 400, mimetype='text/plain')
if not allowed_file(file.filename):
return Response("Invalid filename", 400, mimetype='text/plain')
if file and allowed_file(file.filename):
return do_ocrmypdf(file)
return Response("Some other problem", 400, mimetype='text/plain')
return """
<!doctype html>
<title>OCRmyPDF webservice</title>
<h1>Upload a PDF (debug UI)</h1>
<form method=post enctype=multipart/form-data>
<label for="args">Command line parameters</label>
<input type=textbox name=params>
<label for="file">File to upload</label>
<input type=file name=file>
<input type=submit value=Upload>
</form>
<h4>Notice</h2>
<div style="font-size: 70%; max-width: 34em;">
<p>This is a webservice wrapper for OCRmyPDF.</p>
<p>Copyright 2019 James R. Barlow</p>
<p>This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
</p>
<p>This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
</p>
<p>
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see &lt;http://www.gnu.org/licenses/&gt;.
</p>
</div>
"""
if __name__ == "__main__":
app.run(host='0.0.0.0', port=5000)
-34
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@@ -1,34 +0,0 @@
[build-system]
requires = [
"setuptools >= 30.3.0",
"wheel",
"cffi",
"setuptools_scm",
"setuptools_scm_git_archive"
]
build-backend = "setuptools.build_meta"
[tool.black]
line-length = 88
target-version = ["py36",
"py37", "py38"]
skip-string-normalization = true
include = '\.pyi?$'
exclude = '''
/(
\.eggs
| \.git
| \.hg
| \.mypy_cache
| \.tox
| \.venv
| _build
| buck-out
| build
| dist
| docs
| misc
| \.egg-info
| src/ocrmypdf/lib/_leptonica.py
)/
'''
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@@ -1,2 +0,0 @@
twine >= 1.8.1
coverage >= 4.5
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@@ -1,10 +0,0 @@
# requirements.txt can be used to replicate the developer's build environment
# setup.py lists a separate set of requirements that are looser to simplify
# installation
cffi == 1.14.0
img2pdf == 0.3.3
pdfminer.six == 20200124
pikepdf == 1.10.2
Pillow == 7.0.0
reportlab == 3.5.34
tqdm == 4.42.1
-7
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@@ -1,7 +0,0 @@
pytest >= 5.0.0
pytest-helpers-namespace >= 2019.1.8
pytest-xdist >= 1.31.0
pytest-cov >= 2.8.0
python-xmp-toolkit == 2.0.1 # requires apt-get install libexempi3
# or brew install exempi
#PyMuPDF == 1.13.4 # optional
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@@ -1 +0,0 @@
watchdog >= 0.8.2, < 1.0
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@@ -1 +0,0 @@
Flask >= 1, < 2
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@@ -1,29 +0,0 @@
[bdist_wheel]
python-tag = py35
[aliases]
test=pytest
[check-manifest]
ignore =
.github
[tool:pytest]
norecursedirs = lib .pc .git output cache resources
testpaths = tests
filterwarnings =
ignore:.*XMLParser.*:DeprecationWarning
markers =
slow
[isort]
multi_line_output=3
include_trailing_comma=True
force_grid_wrap=0
use_parentheses=True
line_length=88
known_first_party = ocrmypdf
known_third_party = PIL,_cffi_backend,cffi,flask,gs,img2pdf,pdfminer,pikepdf,pkg_resources,pytest,reportlab,setuptools,sphinx_rtd_theme,tqdm,watchdog,werkzeug
[metadata]
license_file = LICENSE
-117
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@@ -1,117 +0,0 @@
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# © 2015 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
from __future__ import print_function, unicode_literals
import sys
from setuptools import find_packages, setup
if sys.version_info < (3, 6):
print("Python 3.6 or newer is required", file=sys.stderr)
sys.exit(1)
# pylint: disable=w0613
command = next((arg for arg in sys.argv[1:] if not arg.startswith('-')), '')
if command.startswith('install') or command in [
'check',
'test',
'nosetests',
'easy_install',
]:
forced = '--force' in sys.argv
if forced:
print("The argument --force is deprecated. Please discontinue use.")
if 'upload' in sys.argv[1:]:
print('Use twine to upload the package - setup.py upload is insecure')
sys.exit(1)
tests_require = open('requirements/test.txt', encoding='utf-8').read().splitlines()
def readme():
with open('README.md', encoding='utf-8') as f:
return f.read()
setup(
name='ocrmypdf',
description='OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched',
long_description=readme(),
long_description_content_type='text/markdown',
url='https://github.com/jbarlow83/OCRmyPDF',
author='James R. Barlow',
author_email='jim@purplerock.ca',
packages=find_packages('src', exclude=["tests", "tests.*"]),
package_dir={'': 'src'},
keywords=['PDF', 'OCR', 'optical character recognition', 'PDF/A', 'scanning'],
classifiers=[
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Development Status :: 5 - Production/Stable",
"Environment :: Console",
"Intended Audience :: End Users/Desktop",
"Intended Audience :: Science/Research",
"Intended Audience :: System Administrators",
"License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
"Operating System :: MacOS :: MacOS X",
"Operating System :: Microsoft :: Windows :: Windows 10",
"Operating System :: POSIX",
"Operating System :: POSIX :: BSD",
"Operating System :: POSIX :: Linux",
"Topic :: Scientific/Engineering :: Image Recognition",
"Topic :: Text Processing :: Indexing",
"Topic :: Text Processing :: Linguistic",
],
python_requires=' >= 3.6',
setup_requires=[ # can be removed whenever we can drop pip 9 support
'cffi >= 1.9.1', # to build the leptonica module
'pytest-runner', # to enable python setup.py test
'setuptools_scm', # so that version will work
'setuptools_scm_git_archive', # enable version from github tarballs
],
use_scm_version={'version_scheme': 'post-release'},
cffi_modules=['src/ocrmypdf/lib/compile_leptonica.py:ffibuilder'],
install_requires=[
'chardet >= 3.0.4, < 4', # unlisted requirement of pdfminer.six 20181108
'cffi >= 1.9.1', # must be a setup and install requirement
'img2pdf >= 0.3.0, < 0.4', # pure Python, so track HEAD closely
'pdfminer.six >= 20181108, <= 20200124',
'pikepdf >= 1.8.1, < 2',
'Pillow >= 6.2.0',
'reportlab >= 3.3.0', # oldest released version with sane image handling
'tqdm >= 4',
],
tests_require=tests_require,
entry_points={'console_scripts': ['ocrmypdf = ocrmypdf.__main__:run']},
package_data={'ocrmypdf': ['data/sRGB.icc']},
include_package_data=True,
zip_safe=False,
project_urls={
'Documentation': 'https://ocrmypdf.readthedocs.io/',
'Source': 'https://github.com/jbarlow83/ocrmypdf',
'Tracker': 'https://github.com/jbarlow83/ocrmypdf/issues',
},
)
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@@ -1,35 +0,0 @@
# © 2017 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
from . import helpers, hocrtransform, leptonica, pdfa, pdfinfo
from ._version import PROGRAM_NAME, __version__
from .api import Verbosity, configure_logging, ocr
from .exceptions import (
BadArgsError,
DpiError,
EncryptedPdfError,
ExitCode,
ExitCodeException,
InputFileError,
MissingDependencyError,
OutputFileAccessError,
PdfMergeFailedError,
PriorOcrFoundError,
SubprocessOutputError,
TesseractConfigError,
UnsupportedImageFormatError,
)
-69
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@@ -1,69 +0,0 @@
#!/usr/bin/env python3
# © 2015-19 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
import logging
import os
import sys
from . import __version__
from ._jobcontext import make_logger
from ._sync import run_pipeline
from ._validation import check_closed_streams, check_options
from .api import Verbosity, configure_logging
from .cli import parser
from .exceptions import BadArgsError, ExitCode, MissingDependencyError
def run(args=None):
options = parser.parse_args(args=args)
if not check_closed_streams(options):
return ExitCode.bad_args
if hasattr(os, 'nice'):
os.nice(5)
verbosity = options.verbose
if not os.isatty(sys.stderr.fileno()):
options.progress_bar = False
if options.quiet:
verbosity = Verbosity.quiet
options.progress_bar = False
configure_logging(
verbosity, progress_bar_friendly=options.progress_bar, manage_root_logger=True
)
log = make_logger('ocrmypdf')
log.debug('ocrmypdf ' + __version__)
try:
check_options(options)
except ValueError as e:
log.error(e)
return ExitCode.bad_args
except BadArgsError as e:
log.error(e)
return e.exit_code
except MissingDependencyError as e:
log.error(e)
return ExitCode.missing_dependency
result = run_pipeline(options=options)
return result
if __name__ == '__main__':
sys.exit(run())
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# © 2018 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
import os
from contextlib import suppress
from pathlib import Path
import pikepdf
MAX_REPLACE_PAGES = 100
def _update_page_resources(*, page, font, font_key, procset):
"""Update this page's fonts with a reference to the Glyphless font"""
if '/Resources' not in page:
page['/Resources'] = pikepdf.Dictionary({})
resources = page['/Resources']
try:
fonts = resources['/Font']
except KeyError:
fonts = pikepdf.Dictionary({})
if font_key is not None and font_key not in fonts:
fonts[font_key] = font
resources['/Font'] = fonts
# Reassign /ProcSet to one that just lists everything - ProcSet is
# obsolete and doesn't matter but recommended for old viewer support
resources['/ProcSet'] = procset
def strip_invisible_text(pdf, page):
stream = []
in_text_obj = False
render_mode = 0
text_objects = []
page.page_contents_coalesce()
for operands, operator in pikepdf.parse_content_stream(page, ''):
if not in_text_obj:
if operator == pikepdf.Operator('BT'):
in_text_obj = True
render_mode = 0
text_objects.append((operands, operator))
else:
stream.append((operands, operator))
else:
if operator == pikepdf.Operator('Tr'):
render_mode = operands[0]
text_objects.append((operands, operator))
if operator == pikepdf.Operator('ET'):
in_text_obj = False
if render_mode != 3:
stream.extend(text_objects)
text_objects.clear()
def convert(op):
try:
return op.unparse()
except AttributeError:
return str(op).encode('ascii')
lines = []
for operands, operator in stream:
if operator == pikepdf.Operator('INLINE IMAGE'):
iim = operands[0]
line = iim.unparse()
else:
line = b' '.join(convert(op) for op in operands) + b' ' + operator.unparse()
lines.append(line)
content_stream = b'\n'.join(lines)
page.Contents = pikepdf.Stream(pdf, content_stream)
def _graft_text_layer(
*, pdf_base, page_num, text, font, font_key, procset, rotation, strip_old_text, log
):
"""Insert the text layer from text page 0 on to pdf_base at page_num"""
log.debug("Grafting")
if Path(text).stat().st_size == 0:
return
# This is a pointer indicating a specific page in the base file
pdf_text = pikepdf.open(text)
pdf_text_contents = pdf_text.pages[0].Contents.read_bytes()
base_page = pdf_base.pages.p(page_num)
# The text page always will be oriented up by this stage but the original
# content may have a rotation applied. Wrap the text stream with a rotation
# so it will be oriented the same way as the rest of the page content.
# (Previous versions OCRmyPDF rotated the content layer to match the text.)
mediabox = [float(pdf_text.pages[0].MediaBox[v]) for v in range(4)]
wt, ht = mediabox[2] - mediabox[0], mediabox[3] - mediabox[1]
mediabox = [float(base_page.MediaBox[v]) for v in range(4)]
wp, hp = mediabox[2] - mediabox[0], mediabox[3] - mediabox[1]
translate = pikepdf.PdfMatrix().translated(-wt / 2, -ht / 2)
untranslate = pikepdf.PdfMatrix().translated(wp / 2, hp / 2)
corner = pikepdf.PdfMatrix().translated(mediabox[0], mediabox[1])
# -rotation because the input is a clockwise angle and this formula
# uses CCW
rotation = -rotation % 360
rotate = pikepdf.PdfMatrix().rotated(rotation)
# Because of rounding of DPI, we might get a text layer that is not
# identically sized to the target page. Scale to adjust. Normally this
# is within 0.998.
if rotation in (90, 270):
wt, ht = ht, wt
scale_x = wp / wt
scale_y = hp / ht
# log.debug('%r', scale_x, scale_y)
scale = pikepdf.PdfMatrix().scaled(scale_x, scale_y)
# Translate the text so it is centered at (0, 0), rotate it there, adjust
# for a size different between initial and text PDF, then untranslate, and
# finally move the lower left corner to match the mediabox
ctm = translate @ rotate @ scale @ untranslate @ corner
pdf_text_contents = b'q %s cm\n' % ctm.encode() + pdf_text_contents + b'\nQ\n'
new_text_layer = pikepdf.Stream(pdf_base, pdf_text_contents)
if strip_old_text:
strip_invisible_text(pdf_base, base_page)
base_page.page_contents_add(new_text_layer, prepend=True)
_update_page_resources(
page=base_page, font=font, font_key=font_key, procset=procset
)
pdf_text.close()
def _find_font(text, pdf_base):
"""Copy a font from the filename text into pdf_base"""
font, font_key = None, None
possible_font_names = ('/f-0-0', '/F1')
try:
with pikepdf.open(text) as pdf_text:
try:
pdf_text_fonts = pdf_text.pages[0].Resources.get('/Font', {})
except (AttributeError, IndexError, KeyError):
return None, None
for f in possible_font_names:
pdf_text_font = pdf_text_fonts.get(f, None)
if pdf_text_font is not None:
font_key = f
break
if pdf_text_font:
font = pdf_base.copy_foreign(pdf_text_font)
return font, font_key
except (FileNotFoundError, pikepdf.PdfError):
# PdfError occurs if a 0-length file is written e.g. due to OCR timeout
return None, None
class OcrGrafter:
def __init__(self, context):
self.context = context
self.log = context.log
self.path_base = Path(context.origin).resolve()
self.pdf_base = pikepdf.open(self.path_base)
self.font, self.font_key = None, None
self.pdfinfo = context.pdfinfo
self.output_file = context.get_path('graft_layers.pdf')
self.procset = self.pdf_base.make_indirect(
pikepdf.Object.parse(b'[ /PDF /Text /ImageB /ImageC /ImageI ]')
)
self.emplacements = 1
self.interim_count = 0
def graft_page(self, page_result):
pageno, image, text, _sidecar, autorotate_correction = page_result
if text and not self.font:
self.font, self.font_key = _find_font(text, self.pdf_base)
emplaced_page = False
content_rotation = self.pdfinfo[pageno].rotation
path_image = Path(image).resolve() if image else None
if path_image is not None and path_image != self.path_base:
# We are updating the old page with a rasterized PDF of the new
# page (without changing objgen, to preserve references)
self.log.debug("Emplacement update")
with pikepdf.open(image) as pdf_image:
self.emplacements += 1
foreign_image_page = pdf_image.pages[0]
self.pdf_base.pages.append(foreign_image_page)
local_image_page = self.pdf_base.pages[-1]
self.pdf_base.pages[pageno].emplace(local_image_page)
del self.pdf_base.pages[-1]
emplaced_page = True
if emplaced_page:
content_rotation = autorotate_correction
text_rotation = autorotate_correction
text_misaligned = (text_rotation - content_rotation) % 360
self.log.debug(
f"Rotations for page {pageno}: [text, auto, misalign, content] = "
f"{text_rotation}, {autorotate_correction}, "
f"{text_misaligned}, {content_rotation}"
)
if text and self.font:
# Graft the text layer onto this page, whether new or old
strip_old = self.context.options.redo_ocr
_graft_text_layer(
pdf_base=self.pdf_base,
page_num=pageno + 1,
text=text,
font=self.font,
font_key=self.font_key,
rotation=text_misaligned,
procset=self.procset,
strip_old_text=strip_old,
log=self.log,
)
# Correct the rotation if applicable
self.pdf_base.pages[pageno].Rotate = (
content_rotation - autorotate_correction
) % 360
if self.emplacements % MAX_REPLACE_PAGES == 0:
self.save_and_reload()
def save_and_reload(self):
# Periodically save and reload the Pdf object. This will keep a
# lid on our memory usage for very large files. Attach the font to
# page 1 even if page 1 doesn't use it, so we have a way to get it
# back.
page0 = self.pdf_base.pages[0]
_update_page_resources(
page=page0, font=self.font, font_key=self.font_key, procset=self.procset
)
# We cannot read and write the same file, that will corrupt it
# but we don't to keep more copies than we need to. Delete intermediates.
# {interim_count} is the opened file we were updateing
# {interim_count - 1} can be deleted
# {interim_count + 1} is the new file will produce and open
old_file = self.output_file + f'_working{self.interim_count - 1}.pdf'
if not self.context.options.keep_temporary_files:
with suppress(FileNotFoundError):
os.unlink(old_file)
next_file = self.output_file + f'_working{self.interim_count + 1}.pdf'
self.pdf_base.save(next_file)
self.pdf_base.close()
self.pdf_base = pikepdf.open(next_file)
self.procset = self.pdf_base.pages[0].Resources.ProcSet
self.font, self.font_key = None, None # Ensure we reacquire this information
self.interim_count += 1
def finalize(self):
self.pdf_base.save(self.output_file)
self.pdf_base.close()
return self.output_file
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# © 2018 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
import logging
import os
import shutil
import sys
class PicklableLoggerMixin:
def __init__(self):
self._log = None
@property
def log(self):
if not self._log:
self._log = self.get_logger()
return self._log
def __getstate__(self):
# Python 3.6 is incapable of pickling a logger and marshalling it to another
# process (threading._RLock error), so we disconnect it before pickling,
# and create a new logger in the worker process.
state = self.__dict__.copy()
state['_log'] = None
return state
class PDFContext(PicklableLoggerMixin):
"""Holds our context for a particular run of the pipeline"""
def __init__(self, options, work_folder, origin, pdfinfo):
PicklableLoggerMixin.__init__(self)
self.options = options
self.work_folder = work_folder
self.origin = origin
self.pdfinfo = pdfinfo
if options:
self.name = os.path.basename(options.input_file)
else:
self.name = 'origin.pdf'
if self.name == '-':
self.name = 'stdin'
def get_logger(self):
return make_logger(self.options, filename=self.name)
def get_path(self, name):
return os.path.join(self.work_folder, name)
def get_page_contexts(self):
npages = len(self.pdfinfo)
for n in range(npages):
yield PageContext(self, n)
class PageContext(PicklableLoggerMixin):
"""Holds our context for a page
Must be pickable, so only store intrinsic/simple data elements
"""
def __init__(self, pdf_context, pageno):
PicklableLoggerMixin.__init__(self)
self.work_folder = pdf_context.work_folder
self.origin = pdf_context.origin
self.options = pdf_context.options
self.name = pdf_context.name
self.pageno = pageno
self.pageinfo = pdf_context.pdfinfo[pageno]
self._log = None
def get_logger(self):
return make_logger(self.options, filename=self.name, page=self.pageno + 1)
def get_path(self, name):
return os.path.join(self.work_folder, "%06d_%s" % (self.pageno + 1, name))
def cleanup_working_files(work_folder, options):
if options.keep_temporary_files:
print(f"Temporary working files retained at:\n{work_folder}", file=sys.stderr)
else:
shutil.rmtree(work_folder, ignore_errors=True)
class LogNameAdapter(logging.LoggerAdapter):
def process(self, msg, kwargs):
# return '[%s] %s' % (self.extra['input_filename'], msg), kwargs
return '%s' % (msg,), kwargs
class LogNamePageAdapter(logging.LoggerAdapter):
def process(self, msg, kwargs):
return (
#'[%s:%05u] %s' % (self.extra['input_filename'], self.extra['page'], msg),
'%4u: %s' % (self.extra['page'], msg),
kwargs,
)
def make_logger(options=None, prefix='ocrmypdf', filename=None, page=None):
log = logging.getLogger(prefix)
if filename and page:
adapter = LogNamePageAdapter(log, dict(input_filename=filename, page=page))
elif filename:
adapter = LogNameAdapter(log, dict(input_filename=filename))
else:
adapter = log
return adapter
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# © 2016 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
import os
import re
import sys
from datetime import datetime, timezone
from pathlib import Path
from shutil import copyfileobj
import img2pdf
import pikepdf
from pikepdf.models.metadata import encode_pdf_date
from PIL import Image
from . import leptonica
from ._version import PROGRAM_NAME
from ._version import __version__ as VERSION
from .exceptions import (
DpiError,
EncryptedPdfError,
InputFileError,
PriorOcrFoundError,
UnsupportedImageFormatError,
)
from .exec import ghostscript, tesseract
from .helpers import safe_symlink
from .hocrtransform import HocrTransform
from .optimize import optimize
from .pdfa import generate_pdfa_ps
from .pdfinfo import Colorspace, Encoding, PdfInfo
VECTOR_PAGE_DPI = 400
def triage_image_file(input_file, output_file, options, log):
log.info("Input file is not a PDF, checking if it is an image...")
try:
im = Image.open(input_file)
except EnvironmentError as e:
# Recover the original filename
log.error(str(e).replace(input_file, options.input_file))
raise UnsupportedImageFormatError() from e
with im:
log.info("Input file is an image")
if 'dpi' in im.info:
if im.info['dpi'] <= (96, 96) and not options.image_dpi:
log.info("Image size: (%d, %d)" % im.size)
log.info("Image resolution: (%d, %d)" % im.info['dpi'])
log.error(
"Input file is an image, but the resolution (DPI) is "
"not credible. Estimate the resolution at which the "
"image was scanned and specify it using --image-dpi."
)
raise DpiError()
elif not options.image_dpi:
log.info("Image size: (%d, %d)" % im.size)
log.error(
"Input file is an image, but has no resolution (DPI) "
"in its metadata. Estimate the resolution at which "
"image was scanned and specify it using --image-dpi."
)
raise DpiError()
if im.mode in ('RGBA', 'LA'):
log.error(
"The input image has an alpha channel. Remove the alpha "
"channel first."
)
raise UnsupportedImageFormatError()
if 'iccprofile' not in im.info:
if im.mode == 'RGB':
log.info("Input image has no ICC profile, assuming sRGB")
elif im.mode == 'CMYK':
log.error("Input CMYK image has no ICC profile, not usable")
raise UnsupportedImageFormatError()
try:
log.info("Image seems valid. Try converting to PDF...")
layout_fun = img2pdf.default_layout_fun
if options.image_dpi:
layout_fun = img2pdf.get_fixed_dpi_layout_fun(
(options.image_dpi, options.image_dpi)
)
with open(output_file, 'wb') as outf:
img2pdf.convert(
input_file, layout_fun=layout_fun, with_pdfrw=False, outputstream=outf
)
log.info("Successfully converted to PDF, processing...")
except img2pdf.ImageOpenError as e:
log.error(e)
raise UnsupportedImageFormatError() from e
def _pdf_guess_version(input_file, search_window=1024):
"""Try to find version signature at start of file.
Not robust enough to deal with appended files.
Returns empty string if not found, indicating file is probably not PDF.
"""
with open(input_file, 'rb') as f:
signature = f.read(search_window)
m = re.search(br'%PDF-(\d\.\d)', signature)
if m:
return m.group(1)
return ''
def triage(original_filename, input_file, output_file, options, log):
try:
if _pdf_guess_version(input_file):
if options.image_dpi:
log.warning(
"Argument --image-dpi is being ignored because the "
"input file is a PDF, not an image."
)
# Origin file is a pdf create a symlink with pdf extension
safe_symlink(input_file, output_file)
return output_file
except EnvironmentError as e:
log.debug(f"Temporary file was at: {input_file}")
msg = str(e).replace(input_file, original_filename)
raise InputFileError(msg) from e
triage_image_file(input_file, output_file, options, log)
return output_file
def get_pdfinfo(input_file, detailed_page_analysis=False, progbar=False):
try:
return PdfInfo(
input_file, detailed_page_analysis=detailed_page_analysis, progbar=progbar
)
except pikepdf.PasswordError:
raise EncryptedPdfError()
except pikepdf.PdfError:
raise InputFileError()
def validate_pdfinfo_options(context):
log = context.log
pdfinfo = context.pdfinfo
options = context.options
if pdfinfo.needs_rendering:
log.error(
"This PDF contains dynamic XFA forms created by Adobe LiveCycle "
"Designer and can only be read by Adobe Acrobat or Adobe Reader."
)
raise InputFileError()
if pdfinfo.has_userunit and options.output_type.startswith('pdfa'):
log.error(
"This input file uses a PDF feature that is not supported "
"by Ghostscript, so you cannot use --output-type=pdfa for this "
"file. (Specifically, it uses the PDF-1.6 /UserUnit feature to "
"support very large or small page sizes, and Ghostscript cannot "
"output these files.) Use --output-type=pdf instead."
)
raise InputFileError()
if pdfinfo.has_acroform:
if options.redo_ocr:
log.error(
"This PDF has a user fillable form. --redo-ocr is not "
"currently possible on such files."
)
raise InputFileError()
else:
log.warning(
"This PDF has a fillable form. "
"Chances are it is a pure digital "
"document that does not need OCR."
)
if not options.force_ocr:
log.info(
"Use the option --force-ocr to produce an image of the "
"form and all filled form fields. The output PDF will be "
"'flattened' and will no longer be fillable."
)
def get_page_dpi(pageinfo, options):
"Get the DPI when nonsquare DPI is tolerable"
xres = max(
pageinfo.xres or VECTOR_PAGE_DPI,
options.oversample or 0,
VECTOR_PAGE_DPI if pageinfo.has_vector else 0,
)
yres = max(
pageinfo.yres or VECTOR_PAGE_DPI,
options.oversample or 0,
VECTOR_PAGE_DPI if pageinfo.has_vector else 0,
)
return (float(xres), float(yres))
def get_page_square_dpi(pageinfo, options):
"Get the DPI when we require xres == yres, scaled to physical units"
xres = pageinfo.xres or 0
yres = pageinfo.yres or 0
userunit = pageinfo.userunit or 1
return float(
max(
(xres * userunit) or VECTOR_PAGE_DPI,
(yres * userunit) or VECTOR_PAGE_DPI,
VECTOR_PAGE_DPI if pageinfo.has_vector else 0,
options.oversample or 0,
)
)
def get_canvas_square_dpi(pageinfo, options):
"""Get the DPI when we require xres == yres, in Postscript units"""
return float(
max(
(pageinfo.xres) or VECTOR_PAGE_DPI,
(pageinfo.yres) or VECTOR_PAGE_DPI,
VECTOR_PAGE_DPI if pageinfo.has_vector else 0,
options.oversample or 0,
)
)
def is_ocr_required(page_context):
pageinfo = page_context.pageinfo
options = page_context.options
log = page_context.log
ocr_required = True
if options.pages and pageinfo.pageno not in options.pages:
log.debug(f"skipped {pageinfo.pageno} as requested by --pages {options.pages}")
ocr_required = False
elif pageinfo.has_text:
if not options.force_ocr and not (options.skip_text or options.redo_ocr):
raise PriorOcrFoundError(
"page already has text! - aborting (use --force-ocr to force OCR)"
)
elif options.force_ocr:
log.info("page already has text! - rasterizing text and running OCR anyway")
ocr_required = True
elif options.redo_ocr:
if pageinfo.has_corrupt_text:
log.warn(
"some text on this page cannot be mapped to characters: "
"consider using --force-ocr instead"
)
else:
log.info("redoing OCR")
ocr_required = True
elif options.skip_text:
log.info("skipping all processing on this page")
ocr_required = False
elif not pageinfo.images and not options.lossless_reconstruction:
# We found a page with no images and no text. That means it may
# have vector art that the user wants to OCR. If we determined
# lossless reconstruction is not possible then we have to rasterize
# the image. So if OCR is being forced, take that to mean YES, go
# ahead and rasterize. If not forced, then pretend there's no text
# on the page at all so we don't lose anything.
# This could be made smarter by explicitly searching for vector art.
if options.force_ocr and options.oversample:
# The user really wants to reprocess this file
log.info(
"page has no images - "
f"rasterizing at {options.oversample} DPI because "
"--force-ocr --oversample was specified"
)
elif options.force_ocr:
# Warn the user they might not want to do this
log.warn(
"page has no images - "
"all vector content will be "
f"rasterized at {VECTOR_PAGE_DPI} DPI, losing some resolution and likely "
"increasing file size. Use --oversample to adjust the "
"DPI."
)
else:
log.info(
"page has no images - "
"skipping all processing on this page to avoid losing detail. "
"Use --force-ocr if you wish to perform OCR on pages that "
"have vector content."
)
ocr_required = False
if ocr_required and options.skip_big and pageinfo.images:
pixel_count = pageinfo.width_pixels * pageinfo.height_pixels
if pixel_count > (options.skip_big * 1_000_000):
ocr_required = False
log.warn(
"page too big, skipping OCR "
f"({(pixel_count / 1_000_000):.1f} MPixels > {options.skip_big:.1f} MPixels --skip-big)"
)
return ocr_required
def rasterize_preview(input_file, page_context):
output_file = page_context.get_path('rasterize_preview.jpg')
canvas_dpi = get_canvas_square_dpi(page_context.pageinfo, page_context.options)
page_dpi = get_page_square_dpi(page_context.pageinfo, page_context.options)
ghostscript.rasterize_pdf(
input_file,
output_file,
xres=canvas_dpi,
yres=canvas_dpi,
raster_device='jpeggray',
log=page_context.log,
page_dpi=(page_dpi, page_dpi),
pageno=page_context.pageinfo.pageno + 1,
)
return output_file
def describe_rotation(page_context, orient_conf, correction):
"""
Describe the page rotation we are going to perform.
"""
direction = {0: '', 90: '', 180: '', 270: ''}
turns = {0: ' ', 90: '', 180: '', 270: ''}
existing_rotation = page_context.pageinfo.rotation
action = ''
if orient_conf.confidence >= page_context.options.rotate_pages_threshold:
if correction != 0:
action = 'will rotate ' + turns[correction]
else:
action = 'rotation appears correct'
else:
if correction != 0:
action = 'confidence too low to rotate'
else:
action = 'no change'
facing = ''
if existing_rotation != 0:
facing = f"with existing rotation {direction.get(existing_rotation, '?')}, "
facing += f"page is facing {direction.get(orient_conf.angle, '?')}"
return f"{facing}, confidence {orient_conf.confidence:.2f} - {action}"
def get_orientation_correction(preview, page_context):
"""
Work out orientation correct for each page.
We ask Ghostscript to draw a preview page, which will rasterize with the
current /Rotate applied, and then ask Tesseract which way the page is
oriented. If the value of /Rotate is correct (e.g., a user already
manually fixed rotation), then Tesseract will say the page is pointing
up and the correction is zero. Otherwise, the orientation found by
Tesseract represents the clockwise rotation, or the counterclockwise
correction to rotation.
When we draw the real page for OCR, we rotate it by the CCW correction,
which points it (hopefully) upright. _graft.py takes care of the orienting
the image and text layers.
"""
orient_conf = tesseract.get_orientation(
preview,
engine_mode=page_context.options.tesseract_oem,
timeout=page_context.options.tesseract_timeout,
log=page_context.log,
tesseract_env=page_context.options.tesseract_env,
)
correction = orient_conf.angle % 360
page_context.log.info(describe_rotation(page_context, orient_conf, correction))
if (
orient_conf.confidence >= page_context.options.rotate_pages_threshold
and correction != 0
):
return correction
return 0
def rasterize(
input_file, page_context, correction=0, output_tag='', remove_vectors=None
):
colorspaces = ['pngmono', 'pnggray', 'png256', 'png16m']
device_idx = 0
if remove_vectors is None:
remove_vectors = page_context.options.remove_vectors
output_file = page_context.get_path(f'rasterize{output_tag}.png')
pageinfo = page_context.pageinfo
def at_least(cs):
return max(device_idx, colorspaces.index(cs))
for image in pageinfo.images:
if image.type_ != 'image':
continue # ignore masks
if image.bpc > 1:
if image.color == Colorspace.index:
device_idx = at_least('png256')
elif image.color == Colorspace.gray:
device_idx = at_least('pnggray')
else:
device_idx = at_least('png16m')
if pageinfo.has_vector:
device_idx = at_least('png16m')
device = colorspaces[device_idx]
page_context.log.debug(f"Rasterize with {device}")
# Produce the page image with square resolution or else deskew and OCR
# will not work properly.
canvas_dpi = get_canvas_square_dpi(pageinfo, page_context.options)
page_dpi = get_page_square_dpi(pageinfo, page_context.options)
ghostscript.rasterize_pdf(
input_file,
output_file,
xres=canvas_dpi,
yres=canvas_dpi,
raster_device=device,
log=page_context.log,
page_dpi=(page_dpi, page_dpi),
pageno=pageinfo.pageno + 1,
rotation=correction,
filter_vector=remove_vectors,
)
return output_file
def preprocess_remove_background(input_file, page_context):
if any(image.bpc > 1 for image in page_context.pageinfo.images):
output_file = page_context.get_path('pp_rm_bg.png')
leptonica.remove_background(input_file, output_file)
return output_file
else:
page_context.log.info("background removal skipped on mono page")
return input_file
def preprocess_deskew(input_file, page_context):
output_file = page_context.get_path('pp_deskew.png')
dpi = get_page_square_dpi(page_context.pageinfo, page_context.options)
leptonica.deskew(input_file, output_file, dpi)
return output_file
def preprocess_clean(input_file, page_context):
from .exec import unpaper
output_file = page_context.get_path('pp_clean.png')
dpi = get_page_square_dpi(page_context.pageinfo, page_context.options)
unpaper.clean(
input_file,
output_file,
dpi,
page_context.log,
page_context.options.unpaper_args,
)
return output_file
def create_ocr_image(image, page_context):
"""Create the image we send for OCR. May not be the same as the display
image depending on preprocessing. This image will never be shown to the
user."""
output_file = page_context.get_path('ocr.png')
options = page_context.options
with Image.open(image) as im:
from PIL import ImageColor
from PIL import ImageDraw
white = ImageColor.getcolor('#ffffff', im.mode)
# pink = ImageColor.getcolor('#ff0080', im.mode)
draw = ImageDraw.ImageDraw(im)
xres, yres = im.info['dpi']
page_context.log.debug('resolution %r %r' % (xres, yres))
if not options.force_ocr:
# Do not mask text areas when forcing OCR, because we need to OCR
# all text areas
mask = None # Exclude both visible and invisible text from OCR
if options.redo_ocr:
mask = True # Mask visible text, but not invisible text
for textarea in page_context.pageinfo.get_textareas(
visible=mask, corrupt=None
):
# Calculate resolution based on the image size and page dimensions
# without regard whatever resolution is in pageinfo (may differ or
# be None)
bbox = [float(v) for v in textarea]
xscale, yscale = float(xres) / 72.0, float(yres) / 72.0
pixcoords = [
bbox[0] * xscale,
im.height - bbox[3] * yscale,
bbox[2] * xscale,
im.height - bbox[1] * yscale,
]
pixcoords = [int(round(c)) for c in pixcoords]
page_context.log.debug('blanking %r', pixcoords)
draw.rectangle(pixcoords, fill=white)
# draw.rectangle(pixcoords, outline=pink)
if options.threshold:
pix = leptonica.Pix.frompil(im)
pix = pix.masked_threshold_on_background_norm()
im = pix.topil()
del draw
# Pillow requires integer DPI
dpi = round(xres), round(yres)
im.save(output_file, dpi=dpi)
return output_file
def ocr_tesseract_hocr(input_file, page_context):
hocr_out = page_context.get_path('ocr_hocr.hocr')
hocr_text_out = page_context.get_path('ocr_hocr.txt')
options = page_context.options
tesseract.generate_hocr(
input_file=input_file,
output_files=[hocr_out, hocr_text_out],
language=options.language,
engine_mode=options.tesseract_oem,
tessconfig=options.tesseract_config,
timeout=options.tesseract_timeout,
pagesegmode=options.tesseract_pagesegmode,
user_words=options.user_words,
user_patterns=options.user_patterns,
tesseract_env=options.tesseract_env,
log=page_context.log,
)
return (hocr_out, hocr_text_out)
def should_visible_page_image_use_jpg(pageinfo):
# If all images were JPEGs originally, produce a JPEG as output
return pageinfo.images and all(im.enc == Encoding.jpeg for im in pageinfo.images)
def create_visible_page_jpg(image, page_context):
output_file = page_context.get_path('visible.jpg')
with Image.open(image) as im:
# At this point the image should be a .png, but deskew, unpaper
# might have removed the DPI information. In this case, fall back to
# square DPI used to rasterize. When the preview image was
# rasterized, it was also converted to square resolution, which is
# what we want to give tesseract, so keep it square.
fallback_dpi = get_page_square_dpi(page_context.pageinfo, page_context.options)
dpi = im.info.get('dpi', (fallback_dpi, fallback_dpi))
# Pillow requires integer DPI
dpi = round(dpi[0]), round(dpi[1])
im.save(output_file, format='JPEG', dpi=dpi)
return output_file
def create_pdf_page_from_image(image, page_context):
# We rasterize a square DPI version of each page because most image
# processing tools don't support rectangular DPI. Use the square DPI as it
# accurately describes the image. It would be possible to resample the image
# at this stage back to non-square DPI to more closely resemble the input,
# except that the hocr renderer does not understand non-square DPI. The
# sandwich renderer would be fine.
output_file = page_context.get_path('visible.pdf')
dpi = get_page_square_dpi(page_context.pageinfo, page_context.options)
layout_fun = img2pdf.get_fixed_dpi_layout_fun((dpi, dpi))
# This create a single page PDF
with open(image, 'rb') as imfile, open(output_file, 'wb') as pdf:
page_context.log.debug('convert')
img2pdf.convert(
imfile, with_pdfrw=False, layout_fun=layout_fun, outputstream=pdf
)
page_context.log.debug('convert done')
return output_file
def render_hocr_page(hocr, page_context):
output_file = page_context.get_path('ocr_hocr.pdf')
dpi = get_page_square_dpi(page_context.pageinfo, page_context.options)
hocrtransform = HocrTransform(hocr, dpi)
hocrtransform.to_pdf(
output_file,
imageFileName=None,
showBoundingboxes=False,
invisibleText=True,
interwordSpaces=True,
)
return output_file
def ocr_tesseract_textonly_pdf(input_image, page_context):
output_pdf = page_context.get_path('ocr_tess.pdf')
output_text = page_context.get_path('ocr_tess.txt')
options = page_context.options
tesseract.generate_pdf(
input_image=input_image,
skip_pdf=None,
output_pdf=output_pdf,
output_text=output_text,
language=options.language,
engine_mode=options.tesseract_oem,
text_only=True,
tessconfig=options.tesseract_config,
timeout=options.tesseract_timeout,
pagesegmode=options.tesseract_pagesegmode,
user_words=options.user_words,
user_patterns=options.user_patterns,
tesseract_env=options.tesseract_env,
log=page_context.log,
)
return (output_pdf, output_text)
def get_docinfo(base_pdf, options):
def from_document_info(key):
try:
s = base_pdf.docinfo[key]
return str(s)
except (KeyError, TypeError):
return ''
pdfmark = {
k: from_document_info(k)
for k in ('/Title', '/Author', '/Keywords', '/Subject', '/CreationDate')
}
renderer_tag = 'OCR'
if options is not None:
if options.title:
pdfmark['/Title'] = options.title
if options.author:
pdfmark['/Author'] = options.author
if options.keywords:
pdfmark['/Keywords'] = options.keywords
if options.subject:
pdfmark['/Subject'] = options.subject
if options.pdf_renderer == 'sandwich':
renderer_tag = 'OCR-PDF'
pdfmark['/Creator'] = (
f'{PROGRAM_NAME} {VERSION} / ' f'Tesseract {renderer_tag} {tesseract.version()}'
)
pdfmark['/Producer'] = f'pikepdf {pikepdf.__version__}'
if 'OCRMYPDF_CREATOR' in os.environ:
pdfmark['/Creator'] = os.environ['OCRMYPDF_CREATOR']
if 'OCRMYPDF_PRODUCER' in os.environ:
pdfmark['/Producer'] = os.environ['OCRMYPDF_PRODUCER']
pdfmark['/ModDate'] = encode_pdf_date(datetime.now(timezone.utc))
return pdfmark
def generate_postscript_stub(context):
output_file = context.get_path('pdfa.ps')
generate_pdfa_ps(output_file)
return output_file
def convert_to_pdfa(input_pdf, input_ps_stub, context):
options = context.options
input_pdfinfo = context.pdfinfo
fix_docinfo_file = context.get_path('fix_docinfo.pdf')
output_file = context.get_path('pdfa.pdf')
# If the DocumentInfo record contains NUL characters, Ghostscript will
# produce XMP metadata which contains invalid XML entities (&#0;).
# NULs in DocumentInfo seem to be common since older Acrobats included them.
# pikepdf can deal with this, but we make the world a better place by
# stamping them out as soon as possible.
modified = False
with pikepdf.open(input_pdf) as pdf_file:
try:
len(pdf_file.docinfo)
except TypeError:
context.log.error(
"File contains a malformed DocumentInfo block - continuing anyway"
)
else:
if pdf_file.docinfo:
for k, v in pdf_file.docinfo.items():
if b'\x00' in bytes(v):
pdf_file.docinfo[k] = bytes(v).replace(b'\x00', b'')
modified = True
if modified:
pdf_file.save(fix_docinfo_file)
else:
safe_symlink(input_pdf, fix_docinfo_file)
ghostscript.generate_pdfa(
pdf_version=input_pdfinfo.min_version,
pdf_pages=[fix_docinfo_file, input_ps_stub],
output_file=output_file,
compression=options.pdfa_image_compression,
log=context.log,
pdfa_part=options.output_type[-1], # is pdfa-1, pdfa-2, or pdfa-3
)
return output_file
def should_linearize(working_file, context):
filesize = os.stat(working_file).st_size
if filesize > (context.options.fast_web_view * 1_000_000):
return True
return False
def metadata_fixup(working_file, context):
output_file = context.get_path('metafix.pdf')
options = context.options
def report_on_metadata(missing):
if not missing:
return
if options.output_type.startswith('pdfa'):
context.log.warning(
"Some input metadata could not be copied because it is not "
"permitted in PDF/A. You may wish to examine the output "
"PDF's XMP metadata."
)
context.log.debug(
"The following metadata fields were not copied: %r", missing
)
else:
context.log.error(
"Some input metadata could not be copied."
"You may wish to examine the output PDF's XMP metadata."
)
context.log.info(
"The following metadata fields were not copied: %r", missing
)
with pikepdf.open(context.origin) as original, pikepdf.open(working_file) as pdf:
docinfo = get_docinfo(original, options)
with pdf.open_metadata() as meta:
meta.load_from_docinfo(docinfo, delete_missing=False, raise_failure=False)
# If xmp:CreateDate is missing, set it to the modify date to
# match Ghostscript, for consistency
if 'xmp:CreateDate' not in meta:
meta['xmp:CreateDate'] = meta.get('xmp:ModifyDate', '')
meta_original = original.open_metadata()
missing = set(meta_original.keys()) - set(meta.keys())
report_on_metadata(missing)
pdf.save(
output_file,
compress_streams=True,
preserve_pdfa=True,
object_stream_mode=pikepdf.ObjectStreamMode.generate,
linearize=( # Don't linearize if optimize() will be linearizing too
should_linearize(working_file, context)
if options.optimize == 0
else False
),
)
return output_file
def optimize_pdf(input_file, context):
output_file = context.get_path('optimize.pdf')
save_settings = dict(
compress_streams=True,
preserve_pdfa=True,
object_stream_mode=pikepdf.ObjectStreamMode.generate,
linearize=should_linearize(input_file, context),
)
optimize(input_file, output_file, context, save_settings)
return output_file
def merge_sidecars(txt_files, context):
output_file = context.get_path('sidecar.txt')
with open(output_file, 'w', encoding="utf-8") as stream:
for page_num, txt_file in enumerate(txt_files):
if page_num != 0:
stream.write('\f') # Form feed between pages
if txt_file:
with open(txt_file, 'r', encoding="utf-8") as in_:
txt = in_.read()
# Tesseract v4 alpha started adding form feeds in
# commit aa6eb6b
# No obvious way to detect what binaries will do this, so
# for consistency just ignore its form feeds and insert our
# own
if txt.endswith('\f'):
stream.write(txt[:-1])
else:
stream.write(txt)
else:
stream.write(f'[OCR skipped on page {(page_num + 1)}]')
return output_file
def copy_final(input_file, output_file, context):
context.log.debug('%s -> %s', input_file, output_file)
with open(input_file, 'rb') as input_stream:
if output_file == '-':
copyfileobj(input_stream, sys.stdout.buffer)
sys.stdout.flush()
else:
# At this point we overwrite the output_file specified by the user
# use copyfileobj because then we use open() to create the file and
# get the appropriate umask, ownership, etc.
with open(output_file, 'wb') as output_stream:
copyfileobj(input_stream, output_stream)
-444
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@@ -1,444 +0,0 @@
# © 2016 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
import logging
import logging.handlers
import multiprocessing
import os
import signal
import sys
import threading
from collections import namedtuple
from pathlib import Path
from tempfile import mkdtemp
import PIL
from tqdm import tqdm
from ._graft import OcrGrafter
from ._jobcontext import PDFContext, cleanup_working_files, make_logger
from ._pipeline import (
convert_to_pdfa,
copy_final,
create_ocr_image,
create_pdf_page_from_image,
create_visible_page_jpg,
generate_postscript_stub,
get_orientation_correction,
get_pdfinfo,
is_ocr_required,
merge_sidecars,
metadata_fixup,
ocr_tesseract_hocr,
ocr_tesseract_textonly_pdf,
optimize_pdf,
preprocess_clean,
preprocess_deskew,
preprocess_remove_background,
rasterize,
rasterize_preview,
render_hocr_page,
should_visible_page_image_use_jpg,
triage,
validate_pdfinfo_options,
)
from ._validation import (
check_requested_output_file,
create_input_file,
report_output_file_size,
)
from .exceptions import ExitCode, ExitCodeException
from .exec import qpdf
from .helpers import available_cpu_count
from .pdfa import file_claims_pdfa
PageResult = namedtuple(
'PageResult', 'pageno, pdf_page_from_image, ocr, text, orientation_correction'
)
def preprocess(page_context, image, remove_background, deskew, clean):
if remove_background:
image = preprocess_remove_background(image, page_context)
if deskew:
image = preprocess_deskew(image, page_context)
if clean:
image = preprocess_clean(image, page_context)
return image
def exec_page_sync(page_context):
options = page_context.options
orientation_correction = 0
pdf_page_from_image_out = None
ocr_out = None
text_out = None
if is_ocr_required(page_context):
if options.rotate_pages:
# Rasterize
rasterize_preview_out = rasterize_preview(page_context.origin, page_context)
orientation_correction = get_orientation_correction(
rasterize_preview_out, page_context
)
rasterize_out = rasterize(
page_context.origin,
page_context,
correction=orientation_correction,
remove_vectors=False,
)
if not any([options.clean, options.clean_final, options.remove_vectors]):
ocr_image = preprocess_out = preprocess(
page_context,
rasterize_out,
options.remove_background,
options.deskew,
clean=False,
)
else:
if not options.lossless_reconstruction:
preprocess_out = preprocess(
page_context,
rasterize_out,
options.remove_background,
options.deskew,
clean=options.clean_final,
)
if options.remove_vectors:
rasterize_ocr_out = rasterize(
page_context.origin,
page_context,
correction=orientation_correction,
remove_vectors=True,
output_tag='_ocr',
)
else:
rasterize_ocr_out = rasterize_out
ocr_image = preprocess(
page_context,
rasterize_ocr_out,
options.remove_background,
options.deskew,
clean=options.clean,
)
ocr_image_out = create_ocr_image(ocr_image, page_context)
pdf_page_from_image_out = None
if not options.lossless_reconstruction:
visible_image_out = preprocess_out
if should_visible_page_image_use_jpg(page_context.pageinfo):
visible_image_out = create_visible_page_jpg(
visible_image_out, page_context
)
pdf_page_from_image_out = create_pdf_page_from_image(
visible_image_out, page_context
)
if options.pdf_renderer == 'hocr':
(hocr_out, text_out) = ocr_tesseract_hocr(ocr_image_out, page_context)
ocr_out = render_hocr_page(hocr_out, page_context)
if options.pdf_renderer == 'sandwich':
(ocr_out, text_out) = ocr_tesseract_textonly_pdf(
ocr_image_out, page_context
)
return PageResult(
pageno=page_context.pageno,
pdf_page_from_image=pdf_page_from_image_out,
ocr=ocr_out,
text=text_out,
orientation_correction=orientation_correction,
)
def post_process(pdf_file, context):
pdf_out = pdf_file
if context.options.output_type.startswith('pdfa'):
ps_stub_out = generate_postscript_stub(context)
pdf_out = convert_to_pdfa(pdf_out, ps_stub_out, context)
pdf_out = metadata_fixup(pdf_out, context)
return optimize_pdf(pdf_out, context)
def worker_init(queue, max_pixels):
"""Initialize a process pool worker"""
# Ignore SIGINT (our parent process will kill us gracefully)
signal.signal(signal.SIGINT, signal.SIG_IGN)
# Reconfigure the root logger for this process to send all messages to a queue
h = logging.handlers.QueueHandler(queue)
root = logging.getLogger()
root.handlers = []
root.addHandler(h)
# In Windows, child process will not inherit our change to this value in
# the parent process, so ensure workers get it set
PIL.Image.MAX_IMAGE_PIXELS = max_pixels
def worker_thread_init(_queue, max_pixels):
# This is probably not needed since threads should all see the same memory,
# but done for consistency.
PIL.Image.MAX_IMAGE_PIXELS = max_pixels
def log_listener(queue):
"""Listen to the worker processes and forward the messages to logging
For simplicity this is a thread rather than a process. Only one process
should actually write to sys.stderr or whatever we're using, so if this is
made into a process the main application needs to be directed to it.
See https://docs.python.org/3/howto/logging-cookbook.html#logging-to-a-single-file-from-multiple-processes
"""
while True:
try:
record = queue.get()
if record is None:
break
logger = logging.getLogger(record.name)
logger.handle(record)
except Exception:
import traceback
print("Logging problem", file=sys.stderr)
traceback.print_exc(file=sys.stderr)
def exec_concurrent(context):
"""Execute the pipeline concurrently"""
# Run exec_page_sync on every page context
max_workers = min(len(context.pdfinfo), context.options.jobs)
if max_workers > 1:
context.log.info("Start processing %d pages concurrently", max_workers)
# Tesseract 4.x can be multithreaded, and we also run multiple workers. We want
# to manage how many threads it uses to avoid creating total threads than cores.
# Performance testing shows we're better off
# parallelizing ocrmypdf and forcing Tesseract to be single threaded, which we
# get by setting the envvar OMP_THREAD_LIMIT to 1. But if the page count of the
# input file is small, then we allow Tesseract to use threads, subject to the
# constraint: (ocrmypdf workers) * (tesseract threads) <= max_workers.
# As of Tesseract 4.1, 3 threads is the most effective on a 4 core/8 thread system.
tess_threads = min(3, context.options.jobs // max_workers)
if context.options.tesseract_env is None:
context.options.tesseract_env = os.environ.copy()
context.options.tesseract_env.setdefault('OMP_THREAD_LIMIT', str(tess_threads))
try:
tess_threads = int(context.options.tesseract_env['OMP_THREAD_LIMIT'])
except ValueError: # OMP_THREAD_LIMIT initialized to non-numeric
context.log.error("Environment variable OMP_THREAD_LIMIT is not numeric")
if tess_threads > 1:
context.log.info("Using Tesseract OpenMP thread limit %d", tess_threads)
if context.options.use_threads:
from multiprocessing.dummy import Pool
initializer = worker_thread_init
else:
Pool = multiprocessing.Pool
initializer = worker_init
sidecars = [None] * len(context.pdfinfo)
ocrgraft = OcrGrafter(context)
log_queue = multiprocessing.Queue(-1)
listener = threading.Thread(target=log_listener, args=(log_queue,))
listener.start()
with tqdm(
total=(2 * len(context.pdfinfo)),
desc='OCR',
unit='page',
unit_scale=0.5,
disable=not context.options.progress_bar,
) as pbar:
pool = Pool(
processes=max_workers,
initializer=initializer,
initargs=(log_queue, PIL.Image.MAX_IMAGE_PIXELS),
)
try:
results = pool.imap_unordered(exec_page_sync, context.get_page_contexts())
while True:
try:
page_result = results.next()
sidecars[page_result.pageno] = page_result.text
pbar.update()
ocrgraft.graft_page(page_result)
pbar.update()
except StopIteration:
break
except KeyboardInterrupt:
# Terminate pool so we exit instantly
pool.terminate()
# Don't try listener.join() here, will deadlock
raise
except Exception:
if not os.environ.get("PYTEST_CURRENT_TEST", ""):
# Unless inside pytest, exit immediately because no one wants
# to wait for child processes to finalize results that will be
# thrown away. Inside pytest, we want child processes to exit
# cleanly so that they output an error messages or coverage data
# we need from them.
pool.terminate()
raise
finally:
# Terminate log listener
log_queue.put_nowait(None)
pool.close()
pool.join()
listener.join()
# Output sidecar text
if context.options.sidecar:
text = merge_sidecars(sidecars, context)
# Copy text file to destination
copy_final(text, context.options.sidecar, context)
# Merge layers to one single pdf
pdf = ocrgraft.finalize()
# PDF/A and metadata
pdf = post_process(pdf, context)
# Copy PDF file to destination
copy_final(pdf, context.options.output_file, context)
class NeverRaise(Exception):
"""An exception that is never raised"""
pass # pylint: disable=unnecessary-pass
def samefile(f1, f2):
if os.name == 'nt':
return f1 == f2
else:
return os.path.samefile(f1, f2)
def configure_debug_logging(log_filename, prefix=''):
log_file_handler = logging.FileHandler(log_filename, delay=True)
log_file_handler.setLevel(logging.DEBUG)
formatter = logging.Formatter(
'[%(asctime)s] - %(name)s - %(levelname)7s - %(message)s'
)
log_file_handler.setFormatter(formatter)
logging.getLogger(prefix).addHandler(log_file_handler)
return log_file_handler
def run_pipeline(options, api=False):
log = make_logger(options, __name__)
# Any changes to options will not take effect for options that are already
# bound to function parameters in the pipeline. (For example
# options.input_file, options.pdf_renderer are already bound.)
if not options.jobs:
options.jobs = available_cpu_count()
work_folder = mkdtemp(prefix="com.github.ocrmypdf.")
debug_log_handler = None
if (options.keep_temporary_files or options.verbose >= 1) and not os.environ.get(
'PYTEST_CURRENT_TEST', ''
):
debug_log_handler = configure_debug_logging(Path(work_folder) / "debug.log")
try:
check_requested_output_file(options)
start_input_file, original_filename = create_input_file(options, work_folder)
# Triage image or pdf
origin_pdf = triage(
original_filename,
start_input_file,
os.path.join(work_folder, 'origin.pdf'),
options,
log,
)
# Gather pdfinfo and create context
pdfinfo = get_pdfinfo(
origin_pdf,
detailed_page_analysis=options.redo_ocr,
progbar=options.progress_bar,
)
context = PDFContext(options, work_folder, origin_pdf, pdfinfo)
# Validate options are okay for this pdf
validate_pdfinfo_options(context)
# Execute the pipeline
exec_concurrent(context)
if options.output_file == '-':
log.info("Output sent to stdout")
elif samefile(options.output_file, os.devnull):
pass # Say nothing when sending to dev null
else:
if options.output_type.startswith('pdfa'):
pdfa_info = file_claims_pdfa(options.output_file)
if pdfa_info['pass']:
log.info(
"Output file is a %s (as expected)", pdfa_info['conformance']
)
else:
log.warning(
"Output file is okay but is not PDF/A (seems to be %s)",
pdfa_info['conformance'],
)
return ExitCode.pdfa_conversion_failed
if not qpdf.check(options.output_file, log):
log.warning('Output file: The generated PDF is INVALID')
return ExitCode.invalid_output_pdf
report_output_file_size(options, start_input_file, options.output_file)
except (KeyboardInterrupt if not api else NeverRaise) as e:
if options.verbose >= 1:
log.exception("KeyboardInterrupt")
else:
log.error("KeyboardInterrupt")
return ExitCode.ctrl_c
except (ExitCodeException if not api else NeverRaise) as e:
if str(e):
log.error("%s: %s", type(e).__name__, str(e))
else:
log.error(type(e).__name__)
return e.exit_code
except (Exception if not api else NeverRaise) as e:
log.exception("An exception occurred while executing the pipeline")
return ExitCode.other_error
finally:
if debug_log_handler:
try:
debug_log_handler.close()
log.removeHandler(debug_log_handler)
except EnvironmentError as e:
print(e, file=sys.stderr)
cleanup_working_files(work_folder, options)
return ExitCode.ok
-118
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@@ -1,118 +0,0 @@
# Copyright (c) 2014, Armin Ronacher
#
# Copyright (c) 2017, James R Barlow
#
# Some rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
#
# * Redistributions in binary form must reproduce the above
# copyright notice, this list of conditions and the following
# disclaimer in the documentation and/or other materials provided
# with the distribution.
#
# * The names of the contributors may not be used to endorse or
# promote products derived from this software without specific
# prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
import codecs
import os
import sys
def verify_python3_env(): # pragma: no cover
"""Ensures that the environment is good for unicode on Python 3."""
# PEP 538 changes in Python 3.7 should make this wrangling unnecessary
if sys.version_info[0:3] >= (3, 7, 0):
return
try:
import locale
fs_enc = codecs.lookup(locale.getpreferredencoding()).name
except Exception:
fs_enc = 'ascii'
if fs_enc != 'ascii':
return
extra = ''
if os.name == 'posix':
import subprocess
rv = subprocess.run(
['locale', '-a'], stdout=subprocess.PIPE, stderr=subprocess.PIPE
).stdout
good_locales = set()
has_c_utf8 = False
# Make sure we're operating on text here.
if isinstance(rv, bytes):
rv = rv.decode('ascii', 'replace')
for line in rv.splitlines():
locale = line.strip()
if locale.lower().endswith(('.utf-8', '.utf8')):
good_locales.add(locale)
if locale.lower() in ('c.utf8', 'c.utf-8'):
has_c_utf8 = True
extra += '\n\n'
if not good_locales:
extra += (
'Additional information: on this system no suitable UTF-8\n'
'locales were discovered. This most likely requires resolving\n'
'by reconfiguring the locale system.'
)
elif has_c_utf8:
extra += (
'This system supports the C.UTF-8 locale which is recommended.\n'
'You might be able to resolve your issue by exporting the\n'
'following environment variables:\n\n'
' export LC_ALL=C.UTF-8\n'
' export LANG=C.UTF-8'
)
else:
extra += (
'This system lists a couple of UTF-8 supporting locales that\n'
'you can pick from. The following suitable locales were\n'
'discovered: %s'
) % ', '.join(sorted(good_locales))
bad_locale = None
for locale in os.environ.get('LC_ALL'), os.environ.get('LANG'):
if locale and locale.lower().endswith(('.utf-8', '.utf8')):
bad_locale = locale
if locale is not None:
break
if bad_locale is not None:
extra += (
'\nocrmypdf discovered that you exported a UTF-8 locale\n'
'but the locale system could not pick up from it because\n'
'it does not exist. The exported locale is "%s" but it\n'
'is not supported'
) % bad_locale
raise RuntimeError(
'ocrmypdf will abort further execution because Python 3 '
'was configured to use ASCII as encoding for the '
'environment.' + extra
)
-481
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@@ -1,481 +0,0 @@
#!/usr/bin/env python3
# © 2015-17 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
import locale
import logging
import os
import sys
from pathlib import Path
from shutil import copyfileobj
import PIL
from ._unicodefun import verify_python3_env
from .exceptions import (
BadArgsError,
InputFileError,
MissingDependencyError,
OutputFileAccessError,
)
from .exec import (
check_external_program,
ghostscript,
jbig2enc,
pngquant,
qpdf,
tesseract,
unpaper,
)
from .helpers import is_file_writable, is_iterable_notstr, monotonic, safe_symlink
# -------------
# External dependencies
HOCR_OK_LANGS = frozenset(['eng', 'deu', 'spa', 'ita', 'por'])
DEFAULT_LANGUAGE = 'eng' # Enforce English hegemony
log = logging.getLogger(__name__)
# --------
# Critical environment tests
verify_python3_env()
def check_platform():
if os.name == 'nt' and sys.maxsize <= 2 ** 32: # pragma: no cover
# 32-bit interpreter on Windows
log.error(
"You are running OCRmyPDF in a 32-bit (x86) Python interpreter."
"Please use a 64-bit (x86-64) version of Python."
)
def check_options_languages(options):
if not options.language:
options.language = [DEFAULT_LANGUAGE]
system_lang = locale.getlocale()[0]
if system_lang and not system_lang.startswith('en'):
log.debug("No language specified; assuming --language %s", DEFAULT_LANGUAGE)
# Support v2.x "eng+deu" language syntax
if '+' in options.language[0]:
options.language = options.language[0].split('+')
languages = set(options.language)
if not languages.issubset(tesseract.languages()):
msg = (
"The installed version of tesseract does not have language "
"data for the following requested languages: \n"
)
for lang in languages - tesseract.languages():
msg += lang + '\n'
raise MissingDependencyError(msg)
def check_options_output(options):
# We have these constraints to check for.
# 1. Ghostscript < 9.20 mangles multibyte Unicode
# 2. hocr doesn't work on non-Latin languages (so don't select it)
languages = set(options.language)
is_latin = languages.issubset(HOCR_OK_LANGS)
if options.pdf_renderer == 'hocr' and not is_latin:
msg = (
"The 'hocr' PDF renderer is known to cause problems with one "
"or more of the languages in your document. Use "
"--pdf-renderer auto (the default) to avoid this issue."
)
log.warning(msg)
if ghostscript.version() < '9.20' and options.output_type != 'pdf' and not is_latin:
# https://bugs.ghostscript.com/show_bug.cgi?id=696874
# Ghostscript < 9.20 fails to encode multibyte characters properly
msg = (
"The installed version of Ghostscript does not work correctly "
"with the OCR languages you specified. Use --output-type pdf or "
"upgrade to Ghostscript 9.20 or later to avoid this issue."
)
msg += f"Found Ghostscript {ghostscript.version()}"
log.warning(msg)
# Decide on what renderer to use
if options.pdf_renderer == 'auto':
options.pdf_renderer = 'sandwich'
if options.pdf_renderer == 'sandwich' and not tesseract.has_textonly_pdf(
options.tesseract_env, languages
):
raise MissingDependencyError(
"You are using an alpha version of Tesseract 4.0 that does not support "
"the textonly_pdf parameter. We don't support versions this old."
)
if options.output_type == 'pdfa':
options.output_type = 'pdfa-2'
if options.output_type == 'pdfa-3' and ghostscript.version() < '9.19':
raise MissingDependencyError(
"--output-type pdfa-3 requires Ghostscript 9.19 or later"
)
lossless_reconstruction = False
if not any(
(
options.deskew,
options.clean_final,
options.force_ocr,
options.remove_background,
)
):
lossless_reconstruction = True
options.lossless_reconstruction = lossless_reconstruction
if not options.lossless_reconstruction and options.redo_ocr:
raise BadArgsError(
"--redo-ocr is not currently compatible with --deskew, "
"--clean-final, and --remove-background"
)
def check_options_sidecar(options):
if options.sidecar == '\0':
if options.output_file == '-':
raise BadArgsError(
"--sidecar filename must be specified when output file is stdout."
)
options.sidecar = options.output_file + '.txt'
def check_options_preprocessing(options):
if options.clean_final:
options.clean = True
if options.unpaper_args and not options.clean:
raise BadArgsError("--clean is required for --unpaper-args")
if options.clean:
check_external_program(
program='unpaper',
package='unpaper',
version_checker=unpaper.version,
need_version='6.1',
required_for=['--clean, --clean-final'],
)
try:
if options.unpaper_args:
options.unpaper_args = unpaper.validate_custom_args(
options.unpaper_args
)
except Exception as e:
raise BadArgsError(str(e))
def _pages_from_ranges(ranges):
if is_iterable_notstr(ranges):
return set(ranges)
pages = []
page_groups = ranges.replace(' ', '').split(',')
for g in page_groups:
if not g:
continue
try:
start, end = g.split('-')
except ValueError:
pages.append(int(g) - 1)
else:
try:
pages.extend(range(int(start) - 1, int(end)))
except ValueError:
raise BadArgsError("invalid page range")
if not monotonic(pages):
log.warning(
"List of pages to process contains duplicate pages, or pages that are "
"out of order"
)
if any(page < 0 for page in pages):
raise BadArgsError("pages refers to a page number less than 1")
log.debug("OCRing only these pages: %s", pages)
return set(pages)
def check_options_ocr_behavior(options):
exclusive_options = sum(
[
(1 if opt else 0)
for opt in (options.force_ocr, options.skip_text, options.redo_ocr)
]
)
if exclusive_options >= 2:
raise BadArgsError("Choose only one of --force-ocr, --skip-text, --redo-ocr.")
if options.pages and options.sidecar:
raise BadArgsError("--pages and --sidecar are mutually exclusive")
if options.pages:
options.pages = _pages_from_ranges(options.pages)
def check_options_optimizing(options):
if options.optimize >= 2:
check_external_program(
program='pngquant',
package='pngquant',
version_checker=pngquant.version,
need_version='2.0.1',
required_for='--optimize {2,3}',
)
if options.optimize >= 2:
# Although we use JBIG2 for optimize=1, don't nag about it unless the
# user is asking for more optimization
check_external_program(
program='jbig2',
package='jbig2enc',
version_checker=jbig2enc.version,
need_version='0.28',
required_for='--optimize {2,3} | --jbig2-lossy',
recommended=True if not options.jbig2_lossy else False,
)
if options.optimize == 0 and any(
[options.jbig2_lossy, options.png_quality, options.jpeg_quality]
):
log.warning(
"The arguments --jbig2-lossy, --png-quality, and --jpeg-quality "
"will be ignored because --optimize=0."
)
def check_options_advanced(options):
if options.pdfa_image_compression != 'auto' and options.output_type.startswith(
'pdfa'
):
log.warning(
"--pdfa-image-compression argument has no effect when "
"--output-type is not 'pdfa', 'pdfa-1', or 'pdfa-2'"
)
if not tesseract.has_user_words(options.tesseract_env) and (
options.user_words or options.user_patterns
):
log.warning(
"Tesseract 4.0 ignores --user-words and --user-patterns, so these "
"arguments have no effect."
)
def check_options_metadata(options):
import unicodedata
docinfo = [options.title, options.author, options.keywords, options.subject]
for s in (m for m in docinfo if m):
for c in s:
if unicodedata.category(c) == 'Co' or ord(c) >= 0x10000:
raise ValueError(
"One of the metadata strings contains "
"an unsupported Unicode character: '{}' (U+{})".format(
c, hex(ord(c))[2:].upper()
)
)
def check_options_pillow(options):
PIL.Image.MAX_IMAGE_PIXELS = int(options.max_image_mpixels * 1_000_000)
if PIL.Image.MAX_IMAGE_PIXELS == 0:
PIL.Image.MAX_IMAGE_PIXELS = None
def check_options(options):
check_platform()
check_options_languages(options)
check_options_metadata(options)
check_options_output(options)
check_options_sidecar(options)
check_options_preprocessing(options)
check_options_ocr_behavior(options)
check_options_optimizing(options)
check_options_advanced(options)
check_options_pillow(options)
check_dependency_versions(options)
def check_closed_streams(options): # pragma: no cover
"""Work around Python issue with multiprocessing forking on closed streams
https://bugs.python.org/issue28326
Attempting to a fork/exec a new Python process when any of std{in,out,err}
are closed or not flushable for some reason may raise an exception.
Fix this by opening devnull if the handle seems to be closed. Do this
globally to avoid tracking places all places that fork.
Seems to be specific to multiprocessing.Process not all Python process
forkers.
The error actually occurs when the stream object is not flushable,
but replacing an open stream object that is not flushable with
/dev/null is a bad idea since it will create a silent failure. Replacing
a closed handle with /dev/null seems safe.
"""
if sys.version_info[0:3] >= (3, 6, 4):
return True # Issued fixed in Python 3.6.4+
if sys.stderr is None:
sys.stderr = open(os.devnull, 'w')
if sys.stdin is None:
if options.input_file == '-':
log.error("Trying to read from stdin but stdin seems closed")
return False
sys.stdin = open(os.devnull, 'r')
if sys.stdout is None:
if options.output_file == '-':
# Can't replace stdout if the user is piping
# If this case can even happen, it must be some kind of weird
# stream.
log.error(
"Output was set to stdout '-' but the stream attached to "
"stdout does not support the flush() system call. This "
"will fail."
)
return False
sys.stdout = open(os.devnull, 'w')
return True
def log_page_orientations(pdfinfo):
direction = {0: 'n', 90: 'e', 180: 's', 270: 'w'}
orientations = []
for n, page in enumerate(pdfinfo):
angle = page.rotation or 0
if angle != 0:
orientations.append('{0}{1}'.format(n + 1, direction.get(angle, '')))
if orientations:
log.info('Page orientations detected: %s', ' '.join(orientations))
def create_input_file(options, work_folder):
if options.input_file == '-':
# stdin
log.info('reading file from standard input')
target = os.path.join(work_folder, 'stdin')
with open(target, 'wb') as stream_buffer:
copyfileobj(sys.stdin.buffer, stream_buffer)
return target, "<stdin>"
else:
try:
target = os.path.join(work_folder, 'origin')
safe_symlink(options.input_file, target)
return target, os.fspath(options.input_file)
except FileNotFoundError:
raise InputFileError(f"File not found - {options.input_file}")
def check_requested_output_file(options):
if options.output_file == '-':
if sys.stdout.isatty():
raise BadArgsError(
"Output was set to stdout '-' but it looks like stdout "
"is connected to a terminal. Please redirect stdout to a "
"file."
)
elif not is_file_writable(options.output_file):
raise OutputFileAccessError(
f"Output file location ({options.output_file}) is not a writable file."
)
def report_output_file_size(options, input_file, output_file):
try:
output_size = Path(output_file).stat().st_size
input_size = Path(input_file).stat().st_size
except FileNotFoundError:
return # Outputting to stream or something
ratio = output_size / input_size
if ratio < 1.35 or input_size < 25000:
return # Seems fine
reasons = []
image_preproc = {
'deskew',
'clean_final',
'remove_background',
'oversample',
'force_ocr',
}
for arg in image_preproc:
if getattr(options, arg, False):
reasons.append(
f"The argument --{arg.replace('_', '-')} was issued, causing transcoding."
)
if options.optimize == 0:
reasons.append("Optimization was disabled.")
else:
image_optimizers = {
'jbig2': jbig2enc.available(),
'pngquant': pngquant.available(),
}
for name, available in image_optimizers.items():
if not available:
reasons.append(
f"The optional dependency '{name}' was not found, so some image "
f"optimizations could not be attempted."
)
if reasons:
explanation = "Possible reasons for this include:\n" + '\n'.join(reasons) + "\n"
else:
explanation = "No reason for this increase is known. Please report this issue."
log.warning(
f"The output file size is {ratio:.2f}× larger than the input file.\n"
f"{explanation}"
)
def check_dependency_versions(options):
check_external_program(
program='tesseract',
package={'linux': 'tesseract-ocr'},
version_checker=tesseract.version,
need_version='4.0.0', # using backport for Travis CI
)
check_external_program(
program='gs',
package='ghostscript',
version_checker=ghostscript.version,
need_version='9.15', # limited by Travis CI / Ubuntu 14.04 backports
)
gs_version = ghostscript.version()
if gs_version in ('9.24', '9.51'):
raise MissingDependencyError(
f"Ghostscript {gs_version} contains serious regressions and is not "
"supported. Please upgrade to a newer version, or downgrade to the "
"previous version."
)
check_external_program(
program='qpdf',
package='qpdf',
version_checker=qpdf.version,
need_version='8.0.2',
)
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# © 2017 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
import pkg_resources
PROGRAM_NAME = 'ocrmypdf'
# Official PEP 396
__version__ = pkg_resources.get_distribution('ocrmypdf').version
-263
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@@ -1,263 +0,0 @@
# © 2019 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
import logging
import os
import sys
from contextlib import suppress
from enum import IntEnum
from pathlib import Path
from typing import Dict, List
from tqdm import tqdm
from ._sync import run_pipeline
from ._validation import check_options
from .cli import parser
class TqdmConsole:
"""Wrapper to log messages in a way that is compatible with tqdm progress bar
This routes log messages through tqdm so that it can print them above the
progress bar, and then refresh the progress bar, rather than overwriting
it which looks messy.
For some reason Python 3.6 prints extra empty messages from time to time,
so we suppress those.
"""
def __init__(self, file):
self.file = file
self.py36 = sys.version_info[0:2] == (3, 6)
def write(self, msg):
# When no progress bar is active, tqdm.write() routes to print()
if self.py36:
if msg.strip() != '':
tqdm.write(msg.rstrip(), end='\n', file=self.file)
else:
tqdm.write(msg.rstrip(), end='\n', file=self.file)
def flush(self):
with suppress(AttributeError):
self.file.flush()
class Verbosity(IntEnum):
"""Verbosity level for configure_logging."""
quiet = -1 #: Suppress most messages
default = 0 #: Default level of logging
debug = 1 #: Output ocrmypdf debug messages
debug_all = 2 #: More detailed debugging from ocrmypdf and dependent modules
def configure_logging(verbosity, progress_bar_friendly=True, manage_root_logger=False):
"""Set up logging.
Library users may wish to use this function if they want their log output to be
similar to ocrmypdf command line interface. If not used, the external application
should configure logging on its own.
ocrmypdf will perform all of its logging under the ``"ocrmypdf"`` logging namespace.
In addition, ocrmypdf imports pdfminer, which logs under ``"pdfminer"``. A library
user may wish to configure both; note that pdfminer is extremely chatty at the log
level ``logging.INFO``.
Library users may perform additional configuration afterwards.
Args:
verbosity (Verbosity): Verbosity level.
progress_bar_friendly (bool): Install the TqdmConsole log handler, which is
compatible with the tqdm progress bar; without this log messages will
overwrite the progress bar
manage_root_logger (bool): Configure the process's root logger, to ensure
all log output is sent through
Returns:
The toplevel logger for ocrmypdf (or the root logger, if we are managing it).
"""
prefix = '' if manage_root_logger else 'ocrmypdf'
log = logging.getLogger(prefix)
log.setLevel(logging.DEBUG)
if progress_bar_friendly:
console = logging.StreamHandler(stream=TqdmConsole(sys.stderr))
else:
console = logging.StreamHandler(stream=sys.stderr)
if verbosity < 0:
console.setLevel(logging.ERROR)
elif verbosity >= 1:
console.setLevel(logging.DEBUG)
else:
console.setLevel(logging.INFO)
formatter = logging.Formatter('%(levelname)7s - %(message)s')
if verbosity >= 2:
formatter = logging.Formatter('%(name)s - %(levelname)7s - %(message)s')
console.setFormatter(formatter)
log.addHandler(console)
if verbosity <= 1:
pdfminer_log = logging.getLogger('pdfminer')
pdfminer_log.setLevel(logging.ERROR)
pil_log = logging.getLogger('PIL')
pil_log.setLevel(logging.INFO)
if manage_root_logger:
logging.captureWarnings(True)
return log
def create_options(*, input_file, output_file, **kwargs):
cmdline = []
deferred = []
for arg, val in kwargs.items():
if val is None:
continue
# These arguments with special handling for which we bypass
# argparse
if arg in {'tesseract_env', 'progress_bar'}:
deferred.append((arg, val))
continue
cmd_style_arg = arg.replace('_', '-')
# Booleans are special: add only if True, omit for False
if isinstance(val, bool):
if val:
cmdline.append(f"--{cmd_style_arg}")
continue
# We have a parameter
cmdline.append(f"--{cmd_style_arg}")
if isinstance(val, (int, float)):
cmdline.append(str(val))
elif isinstance(val, str):
cmdline.append(val)
elif isinstance(val, Path):
cmdline.append(str(val))
else:
raise TypeError(f"{arg}: {val} ({type(val)})")
cmdline.append(str(input_file))
cmdline.append(str(output_file))
parser.api_mode = True
options = parser.parse_args(cmdline)
for keyword, val in deferred:
setattr(options, keyword, val)
# If we are running a Tesseract spoof, ensure it knows what the input file is
if os.environ.get('PYTEST_CURRENT_TEST') and options.tesseract_env:
options.tesseract_env['_OCRMYPDF_TEST_INFILE'] = os.fspath(input_file)
return options
def ocr( # pylint: disable=unused-argument
input_file: os.PathLike,
output_file: os.PathLike,
*,
language: List[str] = None,
image_dpi: int = None,
output_type=None,
sidecar: os.PathLike = None,
jobs: int = None,
use_threads: bool = None,
title: str = None,
author: str = None,
subject: str = None,
keywords: str = None,
rotate_pages: bool = None,
remove_background: bool = None,
deskew: bool = None,
clean: bool = None,
clean_final: bool = None,
unpaper_args: str = None,
oversample: int = None,
remove_vectors: bool = None,
threshold: bool = None,
force_ocr: bool = None,
skip_text: bool = None,
redo_ocr: bool = None,
skip_big: float = None,
optimize: int = None,
jpg_quality: int = None,
png_quality: int = None,
jbig2_lossy: bool = None,
jbig2_page_group_size: int = None,
pages: str = None,
max_image_mpixels: float = None,
tesseract_config: List[str] = None,
tesseract_pagesegmode: int = None,
tesseract_oem: int = None,
pdf_renderer=None,
tesseract_timeout: float = None,
rotate_pages_threshold: float = None,
pdfa_image_compression=None,
user_words: os.PathLike = None,
user_patterns: os.PathLike = None,
fast_web_view: float = None,
keep_temporary_files: bool = None,
progress_bar: bool = None,
tesseract_env: Dict[str, str] = None,
):
"""Run OCRmyPDF on one PDF or image.
For most arguments, see documentation for the equivalent command line parameter.
A few specific arguments are discussed here:
Args:
use_threads (bool): Use worker threads instead of processes. This reduces
performance but may make debugging easier since it is easier to set
breakpoints.
tesseract_env (dict): Override environment variables for Tesseract
Raises:
ocrmypdf.PdfMergeFailedError: If the input PDF is malformed, preventing merging
with the OCR layer.
ocrmypdf.MissingDependencyError: If a required dependency program is missing or
was not found on PATH.
ocrmypdf.UnsupportedImageFormatError: If the input file type was an image that
could not be read, or some other file type that is not a PDF.
ocrmypdf.DpiError: If the input file is an image, but the resolution of the
image is not credible (allowing it to proceed would cause poor OCR).
ocrmypdf.OutputFileAccessError: If an attempt to write to the intended output
file failed.
ocrmypdf.PriorOcrFoundError: If the input PDF seems to have OCR or digital
text already, and settings did not tell us to proceed.
ocrmypdf.InputFileError: Any other problem with the input file.
ocrmypdf.SubprocessOutputError: Any error related to executing a subprocess.
ocrmypdf.EncryptedPdfERror: If the input PDF is encrypted (password protected).
OCRmyPDF does not remove passwords.
ocrmypdf.TesseractConfigError: If Tesseract reported its configuration was not
valid.
Returns:
:class:`ocrmypdf.ExitCode`
"""
options = create_options(**locals())
check_options(options)
return run_pipeline(options, api=True)
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@@ -1,493 +0,0 @@
# © 2015-19 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
import argparse
from ._version import PROGRAM_NAME as _PROGRAM_NAME
from ._version import __version__ as _VERSION
__all__ = ['parser']
def numeric(basetype, min_=None, max_=None):
"""Validator for numeric params"""
min_ = basetype(min_) if min_ is not None else None
max_ = basetype(max_) if max_ is not None else None
def _numeric(string):
value = basetype(string)
if (min_ is not None and value < min_) or (max_ is not None and value > max_):
msg = "%r not in valid range %r" % (string, (min_, max_))
raise argparse.ArgumentTypeError(msg)
return value
_numeric.__name__ = basetype.__name__
return _numeric
class ArgumentParser(argparse.ArgumentParser):
"""Override parser's default behavior of calling sys.exit()
https://stackoverflow.com/questions/5943249/python-argparse-and-controlling-overriding-the-exit-status-code
"""
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.api_mode = False
def error(self, message):
if not self.api_mode:
super().error(message)
return
raise ValueError(message)
parser = ArgumentParser(
prog=_PROGRAM_NAME,
fromfile_prefix_chars='@',
formatter_class=argparse.RawDescriptionHelpFormatter,
description="""\
Generates a searchable PDF or PDF/A from a regular PDF.
OCRmyPDF rasterizes each page of the input PDF, optionally corrects page
rotation and performs image processing, runs the Tesseract OCR engine on the
image, and then creates a PDF from the OCR information.
""",
epilog="""\
OCRmyPDF attempts to keep the output file at about the same size. If a file
contains losslessly compressed images, and output file will be losslessly
compressed as well.
PDF is a page description file that attempts to preserve a layout exactly.
A PDF can contain vector objects (such as text or lines) and raster objects
(images). A page might have multiple images. OCRmyPDF is prepared to deal
with the wide variety of PDFs that exist in the wild.
When a PDF page contains text, OCRmyPDF assumes that the page has already
been OCRed or is a "born digital" page that should not be OCRed. The default
behavior is to exit in this case without producing a file. You can use the
option --skip-text to ignore pages with text, or --force-ocr to rasterize
all objects on the page and produce an image-only PDF as output.
ocrmypdf --skip-text file_with_some_text_pages.pdf output.pdf
ocrmypdf --force-ocr word_document.pdf output.pdf
If you are concerned about long-term archiving of PDFs, use the default option
--output-type pdfa which converts the PDF to a standardized PDF/A-2b. This
converts images to sRGB colorspace, removes some features from the PDF such
as Javascript or forms. If you want to minimize the number of changes made to
your PDF, use --output-type pdf.
If OCRmyPDF is given an image file as input, it will attempt to convert the
image to a PDF before processing. For more control over the conversion of
images to PDF, use the Python package img2pdf or other image to PDF software.
For example, this command uses img2pdf to convert all .png files beginning
with the 'page' prefix to a PDF, fitting each image on A4-sized paper, and
sending the result to OCRmyPDF through a pipe. img2pdf is a dependency of
ocrmypdf so it is already installed.
img2pdf --pagesize A4 page*.png | ocrmypdf - myfile.pdf
Online documentation is located at:
https://ocrmypdf.readthedocs.io/en/latest/introduction.html
""",
)
parser.add_argument(
'input_file',
metavar="input_pdf_or_image",
help="PDF file containing the images to be OCRed (or '-' to read from "
"standard input)",
)
parser.add_argument(
'output_file',
metavar="output_pdf",
help="Output searchable PDF file (or '-' to write to standard output). "
"Existing files will be ovewritten. If same as input file, the "
"input file will be updated only if processing is successful.",
)
parser.add_argument(
'-l',
'--language',
action='append',
help="Language(s) of the file to be OCRed (see tesseract --list-langs for "
"all language packs installed in your system). Use -l eng+deu for "
"multiple languages.",
)
parser.add_argument(
'--image-dpi',
metavar='DPI',
type=int,
help="For input image instead of PDF, use this DPI instead of file's.",
)
parser.add_argument(
'--output-type',
choices=['pdfa', 'pdf', 'pdfa-1', 'pdfa-2', 'pdfa-3'],
default='pdfa',
help="Choose output type. 'pdfa' creates a PDF/A-2b compliant file for "
"long term archiving (default, recommended) but may not suitable "
"for users who want their file altered as little as possible. 'pdfa' "
"also has problems with full Unicode text. 'pdf' attempts to "
"preserve file contents as much as possible. 'pdf-a1' creates a "
"PDF/A1-b file. 'pdf-a2' is equivalent to 'pdfa'. 'pdf-a3' creates a "
"PDF/A3-b file.",
)
# Use null string '\0' as sentinel to indicate the user supplied no argument,
# since that is the only invalid character for filepaths on all platforms
# bool('\0') is True in Python
parser.add_argument(
'--sidecar',
nargs='?',
const='\0',
default=None,
metavar='FILE',
help="Generate sidecar text files that contain the same text recognized "
"by Tesseract. This may be useful for building a OCR text database. "
"If FILE is omitted, the sidecar file be named {output_file}.txt "
"If FILE is set to '-', the sidecar is written to stdout (a "
"convenient way to preview OCR quality). The output file and sidecar "
"may not both use stdout at the same time.",
)
parser.add_argument(
'--version',
action='version',
version=_VERSION,
help="Print program version and exit",
)
jobcontrol = parser.add_argument_group("Job control options")
jobcontrol.add_argument(
'-j',
'--jobs',
metavar='N',
type=numeric(int, 0, 256),
help="Use up to N CPU cores simultaneously (default: use all).",
)
jobcontrol.add_argument(
'-q', '--quiet', action='store_true', help="Suppress INFO messages"
)
jobcontrol.add_argument(
'-v',
'--verbose',
type=numeric(int, 0, 2),
default=0,
const=1,
nargs='?',
help="Print more verbose messages for each additional verbose level. Use "
"`-v 1` typically for much more detailed logging. Higher numbers "
"are probably only useful in debugging.",
)
jobcontrol.add_argument(
'--no-progress-bar',
action='store_false',
dest='progress_bar',
help=argparse.SUPPRESS,
)
jobcontrol.add_argument('--use-threads', action='store_true', help=argparse.SUPPRESS)
metadata = parser.add_argument_group(
"Metadata options",
"Set output PDF/A metadata (default: copy input document's metadata)",
)
metadata.add_argument(
'--title', type=str, help="Set document title (place multiple words in quotes)"
)
metadata.add_argument('--author', type=str, help="Set document author")
metadata.add_argument('--subject', type=str, help="Set document subject description")
metadata.add_argument('--keywords', type=str, help="Set document keywords")
preprocessing = parser.add_argument_group(
"Image preprocessing options",
"Options to improve the quality of the final PDF and OCR",
)
preprocessing.add_argument(
'-r',
'--rotate-pages',
action='store_true',
help="Automatically rotate pages based on detected text orientation",
)
preprocessing.add_argument(
'--remove-background',
action='store_true',
help="Attempt to remove background from gray or color pages, setting it "
"to white ",
)
preprocessing.add_argument(
'-d', '--deskew', action='store_true', help="Deskew each page before performing OCR"
)
preprocessing.add_argument(
'-c',
'--clean',
action='store_true',
help="Clean pages from scanning artifacts before performing OCR, and send "
"the cleaned page to OCR, but do not include the cleaned page in "
"the output",
)
preprocessing.add_argument(
'-i',
'--clean-final',
action='store_true',
help="Clean page as above, and incorporate the cleaned image in the final "
"PDF. Might remove desired content.",
)
preprocessing.add_argument(
'--unpaper-args',
type=str,
default=None,
help="A quoted string of arguments to pass to unpaper. Requires --clean. "
"Example: --unpaper-args '--layout double'.",
)
preprocessing.add_argument(
'--oversample',
metavar='DPI',
type=numeric(int, 0, 5000),
default=0,
help="Oversample images to at least the specified DPI, to improve OCR "
"results slightly",
)
preprocessing.add_argument(
'--remove-vectors',
action='store_true',
help="EXPERIMENTAL. Mask out any vector objects in the PDF so that they "
"will not be included in OCR. This can eliminate false characters.",
)
preprocessing.add_argument(
'--threshold',
action='store_true',
help="EXPERIMENTAL. Threshold image to 1bpp before sending it to Tesseract for OCR. Can "
"improve OCR quality compared to Tesseract's thresholder.",
)
ocrsettings = parser.add_argument_group("OCR options", "Control how OCR is applied")
ocrsettings.add_argument(
'-f',
'--force-ocr',
action='store_true',
help="Rasterize any text or vector objects on each page, apply OCR, and "
"save the rastered output (this rewrites the PDF)",
)
ocrsettings.add_argument(
'-s',
'--skip-text',
action='store_true',
help="Skip OCR on any pages that already contain text, but include the "
"page in final output; useful for PDFs that contain a mix of "
"images, text pages, and/or previously OCRed pages",
)
ocrsettings.add_argument(
'--redo-ocr',
action='store_true',
help="Attempt to detect and remove the hidden OCR layer from files that "
"were previously OCRed with OCRmyPDF or another program. Apply OCR "
"to text found in raster images. Existing visible text objects will "
"not be changed. If there is no existing OCR, OCR will be added.",
)
ocrsettings.add_argument(
'--skip-big',
type=numeric(float, 0, 5000),
metavar='MPixels',
help="Skip OCR on pages larger than the specified amount of megapixels, "
"but include skipped pages in final output",
)
optimizing = parser.add_argument_group(
"Optimization options", "Control how the PDF is optimized after OCR"
)
optimizing.add_argument(
'-O',
'--optimize',
type=int,
choices=range(0, 4),
default=1,
help=(
"Control how PDF is optimized after processing:"
"0 - do not optimize; "
"1 - do safe, lossless optimizations (default); "
"2 - do some lossy optimizations; "
"3 - do aggressive lossy optimizations (including lossy JBIG2)"
),
)
optimizing.add_argument(
'--jpeg-quality',
type=numeric(int, 0, 100),
default=0,
metavar='Q',
help=(
"Adjust JPEG quality level for JPEG optimization. "
"100 is best quality and largest output size; "
"1 is lowest quality and smallest output; "
"0 uses the default."
),
)
optimizing.add_argument(
'--jpg-quality',
type=numeric(int, 0, 100),
default=0,
metavar='Q',
dest='jpeg_quality',
help=argparse.SUPPRESS, # Alias for --jpeg-quality
)
optimizing.add_argument(
'--png-quality',
type=numeric(int, 0, 100),
default=0,
metavar='Q',
help=(
"Adjust PNG quality level to use when quantizing PNGs. "
"Values have same meaning as with --jpeg-quality"
),
)
optimizing.add_argument(
'--jbig2-lossy',
action='store_true',
help=(
"Enable JBIG2 lossy mode (better compression, not suitable for some "
"use cases - see documentation)."
),
)
optimizing.add_argument(
'--jbig2-page-group-size',
type=numeric(int, 1, 10000),
default=0,
metavar='N',
# Adjust number of pages to consider at once for JBIG2 compression
help=argparse.SUPPRESS,
)
advanced = parser.add_argument_group(
"Advanced", "Advanced options to control Tesseract's OCR behavior"
)
advanced.add_argument(
'--pages',
type=str,
help="Limit OCR to the specified pages (ranges or comma separated), skipping others",
)
advanced.add_argument(
'--max-image-mpixels',
action='store',
type=numeric(float, 0),
metavar='MPixels',
help="Set maximum number of pixels to unpack before treating an image as a "
"decompression bomb",
default=128.0,
)
advanced.add_argument(
'--tesseract-config',
action='append',
metavar='CFG',
default=[],
help="Additional Tesseract configuration files -- see documentation",
)
advanced.add_argument(
'--tesseract-pagesegmode',
action='store',
type=int,
metavar='PSM',
choices=range(0, 14),
help="Set Tesseract page segmentation mode (see tesseract --help)",
)
advanced.add_argument(
'--tesseract-oem',
action='store',
type=int,
metavar='MODE',
choices=range(0, 4),
help=(
"Set Tesseract 4.0 OCR engine mode: "
"0 - original Tesseract only; "
"1 - neural nets LSTM only; "
"2 - Tesseract + LSTM; "
"3 - default."
),
)
advanced.add_argument(
'--pdf-renderer',
choices=['auto', 'hocr', 'sandwich'],
default='auto',
help="Choose OCR PDF renderer - the default option is to let OCRmyPDF "
"choose. See documentation for discussion.",
)
advanced.add_argument(
'--tesseract-timeout',
default=180.0,
type=numeric(float, 0),
metavar='SECONDS',
help='Give up on OCR after the timeout, but copy the preprocessed page '
'into the final output',
)
advanced.add_argument(
'--rotate-pages-threshold',
default=14.0,
type=numeric(float, 0, 1000),
metavar='CONFIDENCE',
help="Only rotate pages when confidence is above this value (arbitrary "
"units reported by tesseract)",
)
advanced.add_argument(
'--pdfa-image-compression',
choices=['auto', 'jpeg', 'lossless'],
default='auto',
help="Specify how to compress images in the output PDF/A. 'auto' lets "
"OCRmyPDF decide. 'jpeg' changes all grayscale and color images to "
"JPEG compression. 'lossless' uses PNG-style lossless compression "
"for all images. Monochrome images are always compressed using a "
"lossless codec. Compression settings "
"are applied to all pages, including those for which OCR was "
"skipped. Not supported for --output-type=pdf ; that setting "
"preserves the original compression of all images.",
)
advanced.add_argument(
'--user-words',
metavar='FILE',
help="Specify the location of the Tesseract user words file. This is a "
"list of words Tesseract should consider while performing OCR in "
"addition to its standard language dictionaries. This can improve "
"OCR quality especially for specialized and technical documents.",
)
advanced.add_argument(
'--user-patterns',
metavar='FILE',
help="Specify the location of the Tesseract user patterns file.",
)
advanced.add_argument(
'--fast-web-view',
type=numeric(float, 0),
default=1.0,
metavar="MEGABYTES",
help="If the size of file is more than this threshold (in MB), then "
"linearize the PDF for fast web viewing. This allows the PDF to be "
"displayed before it is fully downloaded in web browsers, but increases "
"the space required slightly. By default we skip this for small files "
"which do not benefit. If the threshold is 0 it will be apply to all files. "
"Set the threshold very high to disable.",
)
debugging = parser.add_argument_group(
"Debugging", "Arguments to help with troubleshooting and debugging"
)
debugging.add_argument(
'-k',
'--keep-temporary-files',
action='store_true',
help="Keep temporary files (helpful for debugging)",
)
debugging.add_argument('--tesseract-env', type=str, help=argparse.SUPPRESS)
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# © 2016 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
from enum import IntEnum
from textwrap import dedent
class ExitCode(IntEnum):
ok = 0
bad_args = 1
input_file = 2
missing_dependency = 3
invalid_output_pdf = 4
file_access_error = 5
already_done_ocr = 6
child_process_error = 7
encrypted_pdf = 8
invalid_config = 9
pdfa_conversion_failed = 10
other_error = 15
ctrl_c = 130
class ExitCodeException(Exception):
exit_code = ExitCode.other_error
message = ""
def __str__(self):
super_msg = super().__str__() # Don't do str(super())
if self.message:
return self.message.format(super_msg)
return super_msg
class BadArgsError(ExitCodeException):
exit_code = ExitCode.bad_args
class PdfMergeFailedError(ExitCodeException):
exit_code = ExitCode.input_file
message = dedent(
'''\
Failed to merge PDF image layer with OCR layer
Usually this happens because the input PDF file is malformed and
ocrmypdf cannot automatically correct the problem on its own.
Try using
ocrmypdf --pdf-renderer sandwich [..other args..]
'''
)
class MissingDependencyError(ExitCodeException):
exit_code = ExitCode.missing_dependency
class UnsupportedImageFormatError(ExitCodeException):
exit_code = ExitCode.input_file
class DpiError(ExitCodeException):
exit_code = ExitCode.input_file
class OutputFileAccessError(ExitCodeException):
exit_code = ExitCode.file_access_error
class PriorOcrFoundError(ExitCodeException):
exit_code = ExitCode.already_done_ocr
class InputFileError(ExitCodeException):
exit_code = ExitCode.input_file
class SubprocessOutputError(ExitCodeException):
exit_code = ExitCode.child_process_error
class EncryptedPdfError(ExitCodeException):
exit_code = ExitCode.encrypted_pdf
message = dedent(
'''\
Input PDF is encrypted. The encryption must be removed to
perform OCR.
For information about this PDF's security use
qpdf --show-encryption infilename
You can remove the encryption using
qpdf --decrypt [--password=[password]] infilename
'''
)
class TesseractConfigError(ExitCodeException):
exit_code = ExitCode.invalid_config
message = "Error occurred while parsing a Tesseract configuration file"
-278
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@@ -1,278 +0,0 @@
# © 2016 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
"""Wrappers to manage subprocess calls"""
import logging
import os
import re
import shutil
import sys
from collections.abc import Mapping
from functools import lru_cache
from subprocess import PIPE, STDOUT, CalledProcessError
from subprocess import run as subprocess_run
from ..exceptions import ExitCode, MissingDependencyError
log = logging.getLogger(__name__)
def _get_program(args, env=None):
program = args[0]
test_path = env.get('_OCRMYPDF_TEST_PATH', '')
if test_path:
program = shutil.which(program, path=test_path)
return program
def run(args, *, env=None, **kwargs):
"""Wrapper around subprocess.run()
The main purpose of this wrapper is to allow us to substitute the main program
for a spoof in the test suite. The hidden variable _OCRMYPDF_TEST_PATH replaces
the main PATH as a location to check for programs to run.
Secondly we have to account for behavioral differences in Windows in particular.
Creating symbolic links in Windows requires administrator privileges and
may not work if for some reason we're using a FAT file system or the temporary
folder is on a different drive from the working folder. The test suite
works around this by creating shim Python scripts that perform the same function
as a symbolic link, but those shims require support on this side, to ensure
we call them with Python.
"""
if not env:
env = os.environ
# Search in spoof path if necessary
program = _get_program(args, env)
# If we are running a .py on Windows, ensure we call it with this Python
# (to support test suite shims)
if os.name == 'nt' and program.lower().endswith('.py'):
args = [sys.executable, program] + args[1:]
else:
args = [program] + args[1:]
if os.name == 'nt':
paths = os.pathsep.join(os.get_exec_path(env))
if not shutil.which(args[0], path=paths):
shimmed_path = shim_paths_with_program_files(env)
new_args0 = shutil.which(args[0], path=shimmed_path)
if new_args0:
args[0] = new_args0
process_log = log.getChild(os.path.basename(program))
process_log.debug("Running: %s", args)
if sys.version_info < (3, 7) and os.name == 'nt':
# Can't use close_fds=True on Windows with Python 3.6 or older
# https://bugs.python.org/issue19575, etc.
kwargs['close_fds'] = False
proc = subprocess_run(args, env=env, **kwargs)
if process_log.isEnabledFor(logging.DEBUG):
try:
stderr = proc.stderr.decode('utf-8', 'replace')
except AttributeError:
stderr = proc.stderr
if stderr:
process_log.debug("stderr = %s", stderr)
return proc
def get_version(program, *, version_arg='--version', regex=r'(\d+(\.\d+)*)', env=None):
"""Get the version of the specified program"""
args_prog = [program, version_arg]
try:
proc = run(
args_prog,
close_fds=True,
universal_newlines=True,
stdout=PIPE,
stderr=STDOUT,
check=True,
env=env,
)
output = proc.stdout
except FileNotFoundError as e:
raise MissingDependencyError(
f"Could not find program '{program}' on the PATH"
) from e
except CalledProcessError as e:
if e.returncode != 0:
raise MissingDependencyError(
f"Ran program '{program}' but it exited with an error:\n{e.output}"
) from e
raise MissingDependencyError(
f"Could not find program '{program}' on the PATH"
) from e
try:
version = re.match(regex, output.strip()).group(1)
except AttributeError as e:
raise MissingDependencyError(
f"The program '{program}' did not report its version. "
f"Message was:\n{output}"
)
return version
def shim_paths_with_program_files(env=None):
if not env:
env = os.environ
program_files = env.get('PROGRAMFILES', '')
if not program_files:
return env.get('PATH', '')
paths = []
try:
for dirname in os.listdir(program_files):
if dirname.lower() == 'tesseract-ocr':
paths.append(os.path.join(program_files, dirname))
elif dirname.lower() == 'gs':
try:
latest_gs = max(
os.listdir(os.path.join(program_files, dirname)),
key=lambda d: float(d[2:]),
)
except (FileNotFoundError, NotADirectoryError):
continue
paths.append(os.path.join(program_files, dirname, latest_gs, 'bin'))
except EnvironmentError:
pass
paths.extend(path for path in os.get_exec_path(env) if path not in set(paths))
return os.pathsep.join(paths)
missing_program = '''
The program '{program}' could not be executed or was not found on your
system PATH.
'''
missing_optional_program = '''
The program '{program}' could not be executed or was not found on your
system PATH. This program is required when you use the
{required_for} arguments. You could try omitting these arguments, or install
the package.
'''
missing_recommend_program = '''
The program '{program}' could not be executed or was not found on your
system PATH. This program is recommended when using the {required_for} arguments,
but not required, so we will proceed. For best results, install the program.
'''
old_version = '''
OCRmyPDF requires '{program}' {need_version} or higher. Your system appears
to have {found_version}. Please update this program.
'''
old_version_required_for = '''
OCRmyPDF requires '{program}' {need_version} or higher when run with the
{required_for} arguments. If you omit these arguments, OCRmyPDF may be able to
proceed. For best results, install the program.
'''
osx_install_advice = '''
If you have homebrew installed, try these command to install the missing
package:
brew install {package}
'''
linux_install_advice = '''
On systems with the aptitude package manager (Debian, Ubuntu), try these
commands:
sudo apt-get update
sudo apt-get install {package}
On RPM-based systems (Red Hat, Fedora), search for instructions on
installing the RPM for {program}.
'''
windows_install_advice = '''
If not already installed, install the Chocolatey package manager. Then use
a command prompt to install the missing package:
choco install {package}
'''
def _get_platform():
if sys.platform.startswith('freebsd'):
return 'freebsd'
elif sys.platform.startswith('linux'):
return 'linux'
elif sys.platform.startswith('win'):
return 'windows'
return sys.platform
def _error_trailer(program, package, **kwargs):
if isinstance(package, Mapping):
package = package.get(_get_platform(), program)
if _get_platform() == 'darwin':
log.info(osx_install_advice.format(**locals()))
elif _get_platform() == 'linux':
log.info(linux_install_advice.format(**locals()))
elif _get_platform() == 'windows':
log.info(windows_install_advice.format(**locals()))
def _error_missing_program(program, package, required_for, recommended):
if required_for:
log.error(missing_optional_program.format(**locals()))
elif recommended:
log.info(missing_recommend_program.format(**locals()))
else:
log.error(missing_program.format(**locals()))
_error_trailer(**locals())
def _error_old_version(program, package, need_version, found_version, required_for):
if required_for:
log.error(old_version_required_for.format(**locals()))
else:
log.error(old_version.format(**locals()))
_error_trailer(**locals())
def check_external_program(
*,
program,
package,
version_checker,
need_version,
required_for=None,
recommended=False,
**kwargs, # To consume log parameter
):
if kwargs:
if not 'log' in kwargs:
log.warning('check_external_program(log=...) is deprecated')
try:
found_version = version_checker()
except (CalledProcessError, FileNotFoundError, MissingDependencyError):
_error_missing_program(program, package, required_for, recommended)
if not recommended:
raise MissingDependencyError()
return
if found_version < need_version:
_error_old_version(program, package, need_version, found_version, required_for)
if not recommended:
raise MissingDependencyError()
log.debug('Found %s %s', program, found_version)
-343
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@@ -1,343 +0,0 @@
# © 2017 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
"""Interface to Ghostscript executable"""
import logging
import os
import re
import warnings
from contextlib import suppress
from functools import lru_cache
from io import BytesIO
from os import fspath
from pathlib import Path
from shutil import which
from subprocess import PIPE, CalledProcessError
from PIL import Image
from ..exceptions import MissingDependencyError, SubprocessOutputError
from . import get_version, run
gslog = logging.getLogger()
GS = 'gs'
if os.name == 'nt':
GS = which('gswin64c')
if not GS:
GS = which('gswin32c')
if not GS:
raise MissingDependencyError(
"""
---------------------------------------------------------------------
This error normally occurs when ocrmypdf can't Ghostscript. Please
ensure Ghostscript is installed and its location is added to the
system PATH environment variable.
For details see:
https://ocrmypdf.readthedocs.io/en/latest/installation.html
---------------------------------------------------------------------
"""
)
GS = Path(GS).stem
@lru_cache(maxsize=1)
def version():
return get_version(GS)
def jpeg_passthrough_available():
"""Returns True if the installed version of Ghostscript supports JPEG passthru
Prior to 9.23, Ghostscript decode and re-encoded JPEGs internally. In 9.23
it gained the ability to keep JPEGs unmodified. However, the 9.23
implementation was buggy and would deletes the last two bytes of images in
some cases, as reported here.
https://bugs.ghostscript.com/show_bug.cgi?id=699216
The issue was fixed for 9.24, hence that is the first version we consider
the feature available. (However, we don't use 9.24 at all, so the first
version that allows JPEG passthrough is 9.25.
"""
return version() >= '9.24'
def _gs_error_reported(stream):
return re.search(r'error', stream, flags=re.IGNORECASE)
def extract_text(input_file, pageno=1):
"""Use the txtwrite device to get text layout information out
For details on options of -dTextFormat see
https://www.ghostscript.com/doc/current/VectorDevices.htm#TXT
Format is like
<page>
<line>
<span bbox="left top right bottom" font="..." size="...">
<char bbox="...." c="X"/>
:param pageno: number of page to extract, or all pages if None
:return: XML-ish text representation in bytes
"""
if pageno is not None:
pages = ['-dFirstPage=%i' % pageno, '-dLastPage=%i' % pageno]
else:
pages = []
# Note due to bug https://bugs.ghostscript.com/show_bug.cgi?id=701971
# Ghostscript <= 9.50 will truncate output unless we write to stdout, so
# don't write to a file.
args_gs = (
[
GS,
'-dQUIET',
'-dSAFER',
'-dBATCH',
'-dNOPAUSE',
'-sDEVICE=txtwrite',
'-dTextFormat=0',
]
+ pages
+ ['-o', '-', fspath(input_file), "-sstdout=%stderr"]
)
try:
p = run(args_gs, stdout=PIPE, stderr=PIPE, check=True)
except CalledProcessError as e:
raise SubprocessOutputError(
'Ghostscript text extraction failed\n%s\n%s'
% (input_file, e.stderr.decode(errors='replace'))
)
return p.stdout
def rasterize_pdf(
input_file,
output_file,
xres,
yres,
raster_device,
log,
pageno=1,
page_dpi=None,
rotation=None,
filter_vector=False,
):
"""Rasterize one page of a PDF at resolution (xres, yres) in canvas units.
The image is sized to match the integer pixels dimensions implied by
(xres, yres) even if those numbers are noninteger. The image's DPI will
be overridden with the values in page_dpi.
:param input_file: pathlike
:param output_file: pathlike
:param xres: resolution at which to rasterize page
:param yres:
:param raster_device:
:param log:
:param pageno: page number to rasterize (beginning at page 1)
:param page_dpi: resolution tuple (x, y) overriding output image DPI
:param rotation: 0, 90, 180, 270: clockwise angle to rotate page
:param filter_vector: if True, remove vector graphics objects
:return:
"""
res = round(xres, 6), round(yres, 6)
if not page_dpi:
page_dpi = res
if not log:
log = gslog
args_gs = (
[
GS,
'-dQUIET',
'-dSAFER',
'-dBATCH',
'-dNOPAUSE',
f'-sDEVICE={raster_device}',
f'-dFirstPage={pageno}',
f'-dLastPage={pageno}',
f'-r{res[0]:f}x{res[1]:f}',
]
+ (['-dFILTERVECTOR'] if filter_vector else [])
+ [
'-o',
'-',
'-sstdout=%stderr',
'-dAutoRotatePages=/None', # Probably has no effect on raster
'-f',
fspath(input_file),
]
)
log.debug(args_gs)
try:
p = run(args_gs, stdout=PIPE, stderr=PIPE, check=True)
except CalledProcessError as e:
log.error(e.stderr.decode(errors='replace'))
raise SubprocessOutputError('Ghostscript rasterizing failed')
else:
stderr = p.stderr.decode(errors='replace')
if _gs_error_reported(stderr):
log.error(stderr)
elif stderr:
log.debug(stderr)
with Image.open(BytesIO(p.stdout)) as im:
if rotation is not None:
log.debug("Rotating output by %i", rotation)
# rotation is a clockwise angle and Image.ROTATE_* is
# counterclockwise so this cancels out the rotation
if rotation == 90:
im = im.transpose(Image.ROTATE_90)
elif rotation == 180:
im = im.transpose(Image.ROTATE_180)
elif rotation == 270:
im = im.transpose(Image.ROTATE_270)
if rotation % 180 == 90:
page_dpi = page_dpi[1], page_dpi[0]
im.save(fspath(output_file), dpi=page_dpi)
def generate_pdfa(
pdf_pages,
output_file,
compression,
log,
threads=None, # deprecated parameter
pdf_version='1.5',
pdfa_part='2',
):
"""Generate a PDF/A.
The pdf_pages, a list files, will be merged into output_file. One or more
PDF files may be merged. One of the files in this list must be a pdfmark
file that provides Ghostscript with details on how to perform the PDF/A
conversion. By default with we pick PDF/A-2b, but this works for 1 or 3.
compression can be 'jpeg', 'lossless', or an empty string. In 'jpeg',
Ghostscript is instructed to convert color and grayscale images to DCT
(JPEG encoding). In 'lossless' Ghostscript is told to convert images to
Flate (lossless/PNG). If the parameter is omitted Ghostscript is left to
make its own decisions about how to encode images; it appears to use a
heuristic to decide how to encode images. As of Ghostscript 9.25, we
support passthrough JPEG which allows Ghostscript to avoid transcoding
images entirely. (The feature was added in 9.23 but broken, and the 9.24
release of Ghostscript had regressions, so we don't support it until 9.25.)
"""
if not log:
log = gslog
if threads is not None:
warnings.warn(
"use of deprecated parameter 'threads'", category=DeprecationWarning
)
compression_args = []
if compression == 'jpeg':
compression_args = [
"-dAutoFilterColorImages=false",
"-dColorImageFilter=/DCTEncode",
"-dAutoFilterGrayImages=false",
"-dGrayImageFilter=/DCTEncode",
]
elif compression == 'lossless':
compression_args = [
"-dAutoFilterColorImages=false",
"-dColorImageFilter=/FlateEncode",
"-dAutoFilterGrayImages=false",
"-dGrayImageFilter=/FlateEncode",
]
else:
compression_args = [
"-dAutoFilterColorImages=true",
"-dAutoFilterGrayImages=true",
]
# Older versions of Ghostscript expect a leading slash in
# sColorConversionStrategy, newer ones should not have it. See Ghostscript
# git commit fe1c025d.
strategy = 'RGB' if version() >= '9.19' else '/RGB'
if version() == '9.23':
# 9.23: new feature JPEG passthrough is broken in some cases, best to
# disable it always
# https://bugs.ghostscript.com/show_bug.cgi?id=699216
compression_args.append('-dPassThroughJPEGImages=false')
# nb no need to specify ProcessColorModel when ColorConversionStrategy
# is set; see:
# https://bugs.ghostscript.com/show_bug.cgi?id=699392
args_gs = (
[
GS,
"-dQUIET",
"-dBATCH",
"-dNOPAUSE",
"-dSAFER",
"-dCompatibilityLevel=" + str(pdf_version),
"-sDEVICE=pdfwrite",
"-dAutoRotatePages=/None",
"-sColorConversionStrategy=" + strategy,
]
+ compression_args
+ [
"-dJPEGQ=95",
"-dPDFA=" + pdfa_part,
"-dPDFACompatibilityPolicy=1",
"-o",
"-",
"-sstdout=%stderr",
]
)
args_gs.extend(fspath(s) for s in pdf_pages) # Stringify Path objs
try:
with Path(output_file).open('wb') as output:
p = run(args_gs, stdout=output, stderr=PIPE, check=True)
except CalledProcessError as e:
# Ghostscript does not change return code when it fails to create
# PDF/A - check PDF/A status elsewhere
log.error(e.stderr.decode(errors='replace'))
raise SubprocessOutputError('Ghostscript PDF/A rendering failed')
else:
stderr = p.stderr.decode('utf-8', errors='replace')
if _gs_error_reported(stderr):
last_part = None
repcount = 0
for part in stderr.split('****'):
if part != last_part:
if repcount > 1:
log.error(f"(previous error message repeated {repcount} times)")
repcount = 0
log.error(part)
else:
repcount += 1
last_part = part
elif 'overprint mode not set' in stderr:
# Unless someone is going to print PDF/A documents on a
# magical sRGB printer I can't see the removal of overprinting
# being a problem....
log.debug(
"Ghostscript had to remove PDF 'overprinting' from the "
"input file to complete PDF/A conversion. "
)
-61
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@@ -1,61 +0,0 @@
# © 2018 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
"""Interface to jbig2 executable"""
from functools import lru_cache
from subprocess import PIPE
from ..exceptions import MissingDependencyError
from . import get_version, run
@lru_cache(maxsize=1)
def version():
return get_version('jbig2', regex=r'jbig2enc (\d+(\.\d+)*).*')
def available():
try:
version()
except MissingDependencyError:
return False
return True
def convert_group(*, cwd, infiles, out_prefix):
args = [
'jbig2',
'-b',
out_prefix,
'-s', # symbol mode (lossy)
# '-r', # refinement mode (lossless symbol mode, currently disabled in
# jbig2)
'-p',
]
args.extend(infiles)
proc = run(args, cwd=cwd, stdout=PIPE, stderr=PIPE)
proc.check_returncode()
return proc
def convert_single(*, cwd, infile, outfile):
args = ['jbig2', '-p', infile]
with open(outfile, 'wb') as fstdout:
proc = run(args, cwd=cwd, stdout=fstdout, stderr=PIPE)
proc.check_returncode()
return proc
-71
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@@ -1,71 +0,0 @@
# © 2018 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
"""Interface to pngquant executable"""
from functools import lru_cache
from subprocess import run
from tempfile import NamedTemporaryFile
from PIL import Image
from ..exceptions import MissingDependencyError
from . import get_version
@lru_cache(maxsize=1)
def version():
return get_version('pngquant', regex=r'(\d+(\.\d+)*).*')
def available():
try:
version()
except MissingDependencyError:
return False
return True
def quantize(input_file, output_file, quality_min, quality_max):
if input_file.endswith('.jpg'):
with Image.open(input_file) as im, NamedTemporaryFile(suffix='.png') as tmp:
im.save(tmp)
args = [
'pngquant',
'--force',
'--skip-if-larger',
'--output',
output_file,
'--quality',
f'{quality_min}-{quality_max}',
'--',
tmp.name,
]
run(args)
else:
args = [
'pngquant',
'--force',
'--skip-if-larger',
'--output',
output_file,
'--quality',
f'{quality_min}-{quality_max}',
'--',
input_file,
]
run(args)
-61
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@@ -1,61 +0,0 @@
# © 2017 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
"""Interface to qpdf executable"""
from io import StringIO
import pikepdf
def version():
return pikepdf.__libqpdf_version__
def check(input_file, log=None):
pdf = None
try:
pdf = pikepdf.open(input_file)
except pikepdf.PdfError as e:
if log:
log.error(e)
return False
else:
messages = pdf.check()
for msg in messages:
if 'error' in msg.lower():
log.error(msg)
else:
log.warning(msg)
sio = StringIO()
linearize = None
try:
pdf.check_linearization(sio)
except RuntimeError:
pass
else:
linearize = sio.getvalue()
if linearize:
log.warning(linearize)
if not messages and not linearize:
return True
return False
finally:
if pdf:
pdf.close()
-401
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@@ -1,401 +0,0 @@
# © 2017 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
"""Interface to Tesseract executable"""
import logging
import os
import shutil
from collections import namedtuple
from contextlib import suppress
from os import fspath
from subprocess import PIPE, STDOUT, CalledProcessError, TimeoutExpired
from ..exceptions import (
MissingDependencyError,
SubprocessOutputError,
TesseractConfigError,
)
from ..helpers import page_number, safe_symlink
from . import get_version, run
OrientationConfidence = namedtuple('OrientationConfidence', ('angle', 'confidence'))
HOCR_TEMPLATE = """<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
"http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en">
<head>
<title></title>
<meta http-equiv="Content-Type" content="text/html;charset=utf-8" />
<meta name='ocr-system' content='tesseract 4.0.0' />
<meta name='ocr-capabilities' content='ocr_page ocr_carea ocr_par ocr_line ocrx_word ocrp_wconf'/>
</head>
<body>
<div class='ocr_page' id='page_1' title='image "_blank.png"; bbox 0 0 {0} {1}; ppageno 0'>
</div>
</body>
</html>
"""
class TesseractLoggerAdapter(logging.LoggerAdapter):
def process(self, msg, kwargs):
kwargs['extra'] = self.extra
return '[tesseract] %s' % (msg), kwargs
def version(tesseract_env=None):
return get_version('tesseract', regex=r'tesseract\s(.+)', env=tesseract_env)
def v4(tesseract_env=None):
"Is this Tesseract v4.0?"
return version(tesseract_env) >= '4'
def has_textonly_pdf(tesseract_env=None, langs=None):
"""Does Tesseract have textonly_pdf capability?
Available in v4.00.00alpha since January 2017. Best to
parse the parameter list.
"""
args_tess = tess_base_args(langs, engine_mode=None) + ['--print-parameters', 'pdf']
params = ''
try:
proc = run(
args_tess,
check=True,
universal_newlines=True,
stdout=PIPE,
stderr=STDOUT,
env=tesseract_env,
)
params = proc.stdout
except CalledProcessError as e:
raise MissingDependencyError(
"Could not --print-parameters from tesseract"
) from e
if 'textonly_pdf' in params:
return True
return False
def has_user_words(tesseract_env=None):
"""Does Tesseract have --user-words capability?
Not available in 4.0, but available in 4.1. Also available in 3.x, but
we no longer support 3.x.
"""
return version(tesseract_env) >= '4.1'
def languages(tesseract_env=None):
def lang_error(output):
msg = (
"Tesseract failed to report available languages.\n"
"Output from Tesseract:\n"
"-----------\n"
)
msg += output
return msg
args_tess = ['tesseract', '--list-langs']
try:
proc = run(
args_tess,
universal_newlines=True,
stdout=PIPE,
stderr=STDOUT,
check=True,
env=tesseract_env,
)
output = proc.stdout
except CalledProcessError as e:
raise MissingDependencyError(lang_error(e.output)) from e
for line in output.splitlines():
if line.startswith('Error'):
raise MissingDependencyError(lang_error(output))
header, *rest = output.splitlines()
return set(lang.strip() for lang in rest)
def tess_base_args(langs, engine_mode):
args = ['tesseract']
if langs:
args.extend(['-l', '+'.join(langs)])
if engine_mode is not None:
args.extend(['--oem', str(engine_mode)])
return args
def get_orientation(input_file, engine_mode, timeout: float, log, tesseract_env=None):
args_tesseract = tess_base_args(['osd'], engine_mode) + [
'--psm',
'0',
fspath(input_file),
'stdout',
]
try:
p = run(
args_tesseract,
stdout=PIPE,
stderr=STDOUT,
timeout=timeout,
check=True,
env=tesseract_env,
)
stdout = p.stdout
except TimeoutExpired:
return OrientationConfidence(angle=0, confidence=0.0)
except CalledProcessError as e:
tesseract_log_output(log, e.output, input_file)
if (
b'Too few characters. Skipping this page' in e.output
or b'Image too large' in e.output
):
return OrientationConfidence(0, 0)
raise SubprocessOutputError() from e
else:
osd = {}
for line in stdout.decode().splitlines():
line = line.strip()
parts = line.split(':', maxsplit=2)
if len(parts) == 2:
osd[parts[0].strip()] = parts[1].strip()
angle = int(osd.get('Orientation in degrees', 0))
oc = OrientationConfidence(
angle=angle, confidence=float(osd.get('Orientation confidence', 0))
)
return oc
def tesseract_log_output(mainlog, stdout, input_file):
log = TesseractLoggerAdapter(
mainlog, extra=mainlog.extra if hasattr(mainlog, 'extra') else None
)
try:
text = stdout.decode()
except UnicodeDecodeError:
text = stdout.decode('utf-8', 'ignore')
lines = text.splitlines()
for line in lines:
if line.startswith("Tesseract Open Source"):
continue
elif line.startswith("Warning in pixReadMem"):
continue
elif 'diacritics' in line:
log.warning("lots of diacritics - possibly poor OCR")
elif line.startswith('OSD: Weak margin'):
log.warning("unsure about page orientation")
elif 'Error in pixScanForForeground' in line:
pass # Appears to be spurious/problem with nonwhite borders
elif 'Error in boxClipToRectangle' in line:
pass # Always appears with pixScanForForeground message
elif 'parameter not found: ' in line.lower():
log.error(line.strip())
problem = line.split('found: ')[1]
raise TesseractConfigError(problem)
elif 'error' in line.lower() or 'exception' in line.lower():
log.error(line.strip())
elif 'warning' in line.lower():
log.warning(line.strip())
elif 'read_params_file' in line.lower():
log.error(line.strip())
else:
log.info(line.strip())
def page_timedout(log, input_file, timeout):
if timeout == 0:
return
prefix = f"{(page_number(input_file)):4d}: [tesseract] "
log.warning(prefix + " took too long to OCR - skipping")
def _generate_null_hocr(output_hocr, output_sidecar, image):
"""Produce a .hocr file that reports no text detected on a page that is
the same size as the input image."""
from PIL import Image
with Image.open(image) as im:
w, h = im.size
with open(output_hocr, 'w', encoding="utf-8") as f:
f.write(HOCR_TEMPLATE.format(w, h))
with open(output_sidecar, 'w', encoding='utf-8') as f:
f.write('[skipped page]')
def generate_hocr(
input_file,
output_files,
language: list,
engine_mode,
tessconfig: list,
timeout: float,
pagesegmode: int,
user_words,
user_patterns,
tesseract_env,
log,
):
output_hocr = next(o for o in output_files if fspath(o).endswith('.hocr'))
output_sidecar = next(o for o in output_files if fspath(o).endswith('.txt'))
prefix = os.path.splitext(output_hocr)[0]
args_tesseract = tess_base_args(language, engine_mode)
if pagesegmode is not None:
args_tesseract.extend(['--psm', str(pagesegmode)])
if user_words:
args_tesseract.extend(['--user-words', user_words])
if user_patterns:
args_tesseract.extend(['--user-patterns', user_patterns])
# Reminder: test suite tesseract spoofers will break after any changes
# to the number of order parameters here
args_tesseract.extend([input_file, prefix, 'hocr', 'txt'] + tessconfig)
try:
p = run(
args_tesseract,
stdout=PIPE,
stderr=STDOUT,
timeout=timeout,
check=True,
env=tesseract_env,
)
stdout = p.stdout
except TimeoutExpired:
# Generate a HOCR file with no recognized text if tesseract times out
# Temporary workaround to hocrTransform not being able to function if
# it does not have a valid hOCR file.
page_timedout(log, input_file, timeout)
_generate_null_hocr(output_hocr, output_sidecar, input_file)
except CalledProcessError as e:
tesseract_log_output(log, e.output, input_file)
if b'Image too large' in e.output:
_generate_null_hocr(output_hocr, output_sidecar, input_file)
return
raise SubprocessOutputError() from e
else:
tesseract_log_output(log, stdout, input_file)
# The sidecar text file will get the suffix .txt; rename it to
# whatever caller wants it named
if os.path.exists(prefix + '.txt'):
shutil.move(prefix + '.txt', output_sidecar)
def use_skip_page(text_only, skip_pdf, output_pdf, output_text):
with open(output_text, 'w') as f:
f.write('[skipped page]')
if skip_pdf and not text_only:
# Substitute a "skipped page"
with suppress(FileNotFoundError):
os.remove(output_pdf) # In case it was partially created
safe_symlink(skip_pdf, output_pdf)
return
# Or normally, just write a 0 byte file to the output to indicate a skip
with open(output_pdf, 'wb') as out:
out.write(b'')
def generate_pdf(
*,
input_image,
skip_pdf=None,
output_pdf,
output_text,
language: list,
engine_mode,
text_only: bool,
tessconfig: list,
timeout: float,
pagesegmode: int,
user_words,
user_patterns,
tesseract_env,
log,
):
"""Use Tesseract to render a PDF.
input_image -- image to analyze
skip_pdf -- if we time out, use this file as output
output_pdf -- file to generate
output_text -- OCR text file
language -- list of languages to consider
engine_mode -- engine mode argument for tess v4
text_only -- enable tesseract text only mode?
tessconfig -- tesseract configuration
timeout -- timeout (seconds)
log -- logger object
"""
args_tesseract = tess_base_args(language, engine_mode)
if pagesegmode is not None:
args_tesseract.extend(['--psm', str(pagesegmode)])
if text_only and has_textonly_pdf(tesseract_env, language):
args_tesseract.extend(['-c', 'textonly_pdf=1'])
if user_words:
args_tesseract.extend(['--user-words', user_words])
if user_patterns:
args_tesseract.extend(['--user-patterns', user_patterns])
prefix = os.path.splitext(output_pdf)[0] # Tesseract appends suffixes
# Reminder: test suite tesseract spoofers might break after any changes
# to the number of order parameters here
args_tesseract.extend([input_image, prefix, 'pdf', 'txt'] + tessconfig)
try:
p = run(
args_tesseract,
stdout=PIPE,
stderr=STDOUT,
timeout=timeout,
check=True,
env=tesseract_env,
)
stdout = p.stdout
if os.path.exists(prefix + '.txt'):
shutil.move(prefix + '.txt', output_text)
except TimeoutExpired:
page_timedout(log, input_image, timeout)
use_skip_page(text_only, skip_pdf, output_pdf, output_text)
except CalledProcessError as e:
tesseract_log_output(log, e.output, input_image)
if b'Image too large' in e.output:
use_skip_page(text_only, skip_pdf, output_pdf, output_text)
return
raise SubprocessOutputError() from e
else:
tesseract_log_output(log, stdout, input_image)
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# © 2015 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
# unpaper documentation:
# https://github.com/Flameeyes/unpaper/blob/master/doc/basic-concepts.md
"""Interface to unpaper executable"""
import os
import shlex
from functools import lru_cache
from subprocess import PIPE, STDOUT, CalledProcessError
from tempfile import TemporaryDirectory
from PIL import Image
from ..exceptions import MissingDependencyError, SubprocessOutputError
from . import get_version
from . import run as external_run
@lru_cache(maxsize=1)
def version():
return get_version('unpaper')
def run(input_file, output_file, dpi, log, mode_args):
args_unpaper = ['unpaper', '-v', '--dpi', str(dpi)] + mode_args
SUFFIXES = {'1': '.pbm', 'L': '.pgm', 'RGB': '.ppm'}
with TemporaryDirectory() as tmpdir, Image.open(input_file) as im:
if im.mode not in SUFFIXES.keys():
log.info("Converting image to other colorspace")
try:
if im.mode == 'P' and len(im.getcolors()) == 2:
im = im.convert(mode='1')
else:
im = im.convert(mode='RGB')
except IOError as e:
im.close()
raise MissingDependencyError(
"Could not convert image with type " + im.mode
) from e
try:
suffix = SUFFIXES[im.mode]
except KeyError:
raise MissingDependencyError(
"Failed to convert image to a supported format."
) from e
input_pnm = os.path.join(tmpdir, f'input{suffix}')
output_pnm = os.path.join(tmpdir, f'output{suffix}')
im.save(input_pnm, format='PPM')
# To prevent any shenanigans from accepting arbitrary parameters in
# --unpaper-args, we:
# 1) run with cwd set to a tmpdir with only unpaper's files
# 2) forbid the use of '/' in arguments, to prevent changing paths
# 3) append absolute paths for the input and output file
# This should ensure that a user cannot clobber some other file with
# their unpaper arguments (whether intentionally or otherwise)
args_unpaper.extend([input_pnm, output_pnm])
try:
proc = external_run(
args_unpaper,
check=True,
close_fds=True,
universal_newlines=True,
stderr=STDOUT,
cwd=tmpdir,
stdout=PIPE,
)
except CalledProcessError as e:
log.debug(e.output)
raise e from e
else:
log.debug(proc.stdout)
# unpaper sets dpi to 72; fix this
try:
with Image.open(output_pnm) as imout:
imout.save(output_file, dpi=(dpi, dpi))
except (FileNotFoundError, OSError):
raise SubprocessOutputError(
"unpaper: failed to produce the expected output file. "
+ " Called with: "
+ str(args_unpaper)
) from None
def validate_custom_args(args: str):
unpaper_args = shlex.split(args)
if any('/' in arg for arg in unpaper_args):
raise ValueError('No filenames allowed in --unpaper-args')
return unpaper_args
def clean(input_file, output_file, dpi, log, unpaper_args=None):
default_args = [
'--layout',
'none',
'--mask-scan-size',
'100', # don't blank out narrow columns
'--no-border-align', # don't align visible content to borders
'--no-mask-center', # don't center visible content within page
'--no-grayfilter', # don't remove light gray areas
'--no-blackfilter', # don't remove solid black areas
'--no-deskew', # don't deskew
]
if not unpaper_args:
unpaper_args = default_args
run(input_file, output_file, dpi, log, unpaper_args)
-153
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@@ -1,153 +0,0 @@
# © 2016 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
import logging
import multiprocessing
import os
import shutil
import warnings
from collections.abc import Iterable
from contextlib import suppress
from functools import wraps
from pathlib import Path
log = logging.getLogger(__name__)
def safe_symlink(input_file, soft_link_name, *args, **kwargs):
"""
Helper function: relinks soft symbolic link if necessary
"""
if len(args) == 1 and isinstance(args[0], logging.Logger):
log.warning("Deprecated: safe_symlink(,log)")
if 'log' in kwargs:
log.warning('Deprecated: safe_symlink(...log=)')
input_file = os.fspath(input_file)
soft_link_name = os.fspath(soft_link_name)
# Guard against soft linking to oneself
if input_file == soft_link_name:
log.warning(
"No symbolic link made. You are using "
"the original data directory as the working directory."
)
return
# Soft link already exists: delete for relink?
if os.path.lexists(soft_link_name):
# do not delete or overwrite real (non-soft link) file
if not os.path.islink(soft_link_name):
raise FileExistsError(f"{soft_link_name} exists and is not a link")
try:
os.unlink(soft_link_name)
except OSError:
log.debug("Can't unlink %s", soft_link_name)
if not os.path.exists(input_file):
raise FileNotFoundError(f"trying to create a broken symlink to {input_file}")
if os.name == 'nt':
# Don't actually use symlinks on Windows due to permission issues
shutil.copyfile(input_file, soft_link_name)
return
log.debug("os.symlink(%s, %s)", input_file, soft_link_name)
# Create symbolic link using absolute path
os.symlink(os.path.abspath(input_file), soft_link_name)
def is_iterable_notstr(thing):
return isinstance(thing, Iterable) and not isinstance(thing, str)
def monotonic(L):
"""Does list increase monotonically?"""
return all(b > a for a, b in zip(L, L[1:]))
def page_number(input_file):
"""Get one-based page number implied by filename (000002.pdf -> 2)"""
return int(os.path.basename(os.fspath(input_file))[0:6])
def available_cpu_count():
try:
return multiprocessing.cpu_count()
except NotImplementedError:
pass
warnings.warn(
"Could not get CPU count. Assuming one (1) CPU." "Use -j N to set manually."
)
return 1
def is_file_writable(test_file):
"""Intentionally racy test if target is writable.
We intend to write to the output file if and only if we succeed and
can replace it atomically. Before doing the OCR work, make sure
the location is writable.
"""
try:
if not isinstance(test_file, Path):
p = Path(test_file)
else:
p = test_file
if p.is_symlink():
p = p.resolve(strict=False)
# p.is_file() throws an exception in some cases
if p.exists() and p.is_file():
return os.access(
os.fspath(p),
os.W_OK,
effective_ids=(os.access in os.supports_effective_ids),
)
else:
try:
fp = p.open('wb')
except OSError:
return False
else:
fp.close()
with suppress(OSError):
p.unlink()
return True
except (EnvironmentError, RuntimeError) as e:
log.debug(e)
log.error(str(e))
return False
def deprecated(func):
"""Warn that function is deprecated"""
@wraps(func)
def new_func(*args, **kwargs):
warnings.simplefilter('always', DeprecationWarning) # turn off filter
warnings.warn(
"Call to deprecated function {}.".format(func.__name__),
category=DeprecationWarning,
stacklevel=2,
)
warnings.simplefilter('default', DeprecationWarning) # reset filter
return func(*args, **kwargs)
return new_func
-389
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@@ -1,389 +0,0 @@
#!/usr/bin/env python3
#
# Copyright (c) 2010, Jonathan Brinley
# Original version from: https://github.com/jbrinley/HocrConverter
#
# Copyright (c) 2013-14, Julien Pfefferkorn
# Modifications
#
# Copyright (c) 2015-16, James R. Barlow
# Set text to transparent
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use, copy, modify, merge, publish,
# distribute, sublicense, and/or sell copies of the Software, and to
# permit persons to whom the Software is furnished to do so, subject to
# the following conditions:
#
# The above copyright notice and this permission notice shall be included
# in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
# OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
# IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
# CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
# TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
# SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
import argparse
import re
from collections import namedtuple
from math import atan, cos, sin
from xml.etree import ElementTree
from reportlab.lib.units import inch
from reportlab.pdfgen.canvas import Canvas
Rect = namedtuple('Rect', ['x1', 'y1', 'x2', 'y2'])
class HocrTransformError(Exception):
pass
class HocrTransform:
"""
A class for converting documents from the hOCR format.
For details of the hOCR format, see:
http://kba.cloud/hocr-spec/
"""
box_pattern = re.compile(r'bbox((\s+\d+){4})')
baseline_pattern = re.compile(
r'''
baseline \s+
([\-\+]?\d*\.?\d*) \s+ # +/- decimal float
([\-\+]?\d+) # +/- int''',
re.VERBOSE,
)
ligatures = str.maketrans(
{'': 'ff', '': 'ffi', '': 'ffl', '': 'fi', '': 'fl'}
)
def __init__(self, hocrFileName, dpi):
self.dpi = dpi
self.hocr = ElementTree.parse(hocrFileName)
# if the hOCR file has a namespace, ElementTree requires its use to
# find elements
matches = re.match(r'({.*})html', self.hocr.getroot().tag)
self.xmlns = ''
if matches:
self.xmlns = matches.group(1)
# get dimension in pt (not pixel!!!!) of the OCRed image
self.width, self.height = None, None
for div in self.hocr.findall(".//%sdiv[@class='ocr_page']" % (self.xmlns)):
coords = self.element_coordinates(div)
pt_coords = self.pt_from_pixel(coords)
self.width = pt_coords.x2 - pt_coords.x1
self.height = pt_coords.y2 - pt_coords.y1
# there shouldn't be more than one, and if there is, we don't want
# it
break
if self.width is None or self.height is None:
raise HocrTransformError("hocr file is missing page dimensions")
def __str__(self): # pragma: no cover
"""
Return the textual content of the HTML body
"""
if self.hocr is None:
return ''
body = self.hocr.find(".//%sbody" % (self.xmlns))
if body:
return self._get_element_text(body)
else:
return ''
def _get_element_text(self, element):
"""
Return the textual content of the element and its children
"""
text = ''
if element.text is not None:
text += element.text
for child in element.getchildren():
text += self._get_element_text(child)
if element.tail is not None:
text += element.tail
return text
@classmethod
def element_coordinates(cls, element):
"""
Returns a tuple containing the coordinates of the bounding box around
an element
"""
out = (0, 0, 0, 0)
if 'title' in element.attrib:
matches = cls.box_pattern.search(element.attrib['title'])
if matches:
coords = matches.group(1).split()
out = Rect._make(int(coords[n]) for n in range(4))
return out
@classmethod
def baseline(cls, element):
"""
Returns a tuple containing the baseline slope and intercept.
"""
if 'title' in element.attrib:
matches = cls.baseline_pattern.search(element.attrib['title'])
if matches:
return float(matches.group(1)), int(matches.group(2))
return (0, 0)
def pt_from_pixel(self, pxl):
"""
Returns the quantity in PDF units (pt) given quantity in pixels
"""
return Rect._make((c / self.dpi * inch) for c in pxl)
@classmethod
def replace_unsupported_chars(cls, s):
"""
Given an input string, returns the corresponding string that:
- is available in the helvetica facetype
- does not contain any ligature (to allow easy search in the PDF file)
"""
return s.translate(cls.ligatures)
def to_pdf(
self,
outFileName,
imageFileName=None,
showBoundingboxes=False,
fontname="Helvetica",
invisibleText=False,
interwordSpaces=False,
):
"""
Creates a PDF file with an image superimposed on top of the text.
Text is positioned according to the bounding box of the lines in
the hOCR file.
The image need not be identical to the image used to create the hOCR
file.
It can have a lower resolution, different color mode, etc.
"""
# create the PDF file
# page size in points (1/72 in.)
pdf = Canvas(outFileName, pagesize=(self.width, self.height), pageCompression=1)
# draw bounding box for each paragraph
# light blue for bounding box of paragraph
pdf.setStrokeColorRGB(0, 1, 1)
# light blue for bounding box of paragraph
pdf.setFillColorRGB(0, 1, 1)
pdf.setLineWidth(0) # no line for bounding box
for elem in self.hocr.findall(".//%sp[@class='%s']" % (self.xmlns, "ocr_par")):
elemtxt = self._get_element_text(elem).rstrip()
if len(elemtxt) == 0:
continue
pxl_coords = self.element_coordinates(elem)
pt = self.pt_from_pixel(pxl_coords)
# draw the bbox border
if showBoundingboxes: # pragma: no cover
pdf.rect(
pt.x1, self.height - pt.y2, pt.x2 - pt.x1, pt.y2 - pt.y1, fill=1
)
found_lines = False
for line in self.hocr.findall(
".//%sspan[@class='%s']" % (self.xmlns, "ocr_line")
):
found_lines = True
self._do_line(
pdf,
line,
"ocrx_word",
fontname,
invisibleText,
interwordSpaces,
showBoundingboxes,
)
if not found_lines:
# Tesseract did not report any lines (just words)
root = self.hocr.find(".//%sdiv[@class='%s']" % (self.xmlns, "ocr_page"))
self._do_line(
pdf,
root,
"ocrx_word",
fontname,
invisibleText,
interwordSpaces,
showBoundingboxes,
)
# put the image on the page, scaled to fill the page
if imageFileName is not None:
pdf.drawImage(imageFileName, 0, 0, width=self.width, height=self.height)
# finish up the page and save it
pdf.showPage()
pdf.save()
@classmethod
def polyval(cls, poly, x): # pragma: no cover
return x * poly[0] + poly[1]
def _do_line(
self,
pdf,
line,
elemclass,
fontname,
invisibleText,
interwordSpaces,
showBoundingboxes,
):
pxl_line_coords = self.element_coordinates(line)
line_box = self.pt_from_pixel(pxl_line_coords)
line_height = line_box.y2 - line_box.y1
slope, pxl_intercept = self.baseline(line)
if abs(slope) < 0.005:
slope = 0.0
angle = atan(slope)
cos_a, sin_a = cos(angle), sin(angle)
text = pdf.beginText()
intercept = pxl_intercept / self.dpi * inch
# Don't allow the font to break out of the bounding box. Division by
# cos_a accounts for extra clearance between the glyph's vertical axis
# on a sloped baseline and the edge of the bounding box.
fontsize = (line_height - abs(intercept)) / cos_a
text.setFont(fontname, fontsize)
if invisibleText:
text.setTextRenderMode(3) # Invisible (indicates OCR text)
# Intercept is normally negative, so this places it above the bottom
# of the line box
baseline_y2 = self.height - (line_box.y2 + intercept)
if showBoundingboxes: # pragma: no cover
# draw the baseline in magenta, dashed
pdf.setDash()
pdf.setStrokeColorRGB(0.95, 0.65, 0.95)
pdf.setLineWidth(0.5)
# negate slope because it is defined as a rise/run in pixel
# coordinates and page coordinates have the y axis flipped
pdf.line(
line_box.x1,
baseline_y2,
line_box.x2,
self.polyval((-slope, baseline_y2), line_box.x2 - line_box.x1),
)
# light green for bounding box of word/line
pdf.setDash(6, 3)
pdf.setStrokeColorRGB(1, 0, 0)
text.setTextTransform(cos_a, -sin_a, sin_a, cos_a, line_box.x1, baseline_y2)
pdf.setFillColorRGB(0, 0, 0) # text in black
elements = line.findall(".//%sspan[@class='%s']" % (self.xmlns, elemclass))
for elem in elements:
elemtxt = self._get_element_text(elem).strip()
elemtxt = self.replace_unsupported_chars(elemtxt)
if elemtxt == '':
continue
pxl_coords = self.element_coordinates(elem)
box = self.pt_from_pixel(pxl_coords)
if interwordSpaces:
# if `--interword-spaces` is true, append a space
# to the end of each text element to allow simpler PDF viewers
# such as PDF.js to better recognize words in search and copy
# and paste. Do not remove space from last word in line, even
# though it would look better, because it will interfere with
# naive text extraction. \n does not work either.
elemtxt += ' '
box = Rect._make(
(
box.x1,
line_box.y1,
box.x2 + pdf.stringWidth(' ', fontname, line_height),
line_box.y2,
)
)
box_width = box.x2 - box.x1
font_width = pdf.stringWidth(elemtxt, fontname, fontsize)
# draw the bbox border
if showBoundingboxes: # pragma: no cover
pdf.rect(
box.x1, self.height - line_box.y2, box_width, line_height, fill=0
)
# Adjust relative position of cursor
# This is equivalent to:
# text.setTextOrigin(pt.x1, self.height - line_box.y2)
# but the former generates a full text reposition matrix (Tm) in the
# content stream while this issues a "offset" (Td) command.
# .moveCursor() is relative to start of the text line, where the
# "text line" means whatever reportlab defines it as. Do not use
# use .getCursor(), since moveCursor() rather unintuitively plans
# its moves relative to .getStartOfLine().
# For skewed lines, in the text transform we set up a rotated
# coordinate system, so we don't have to account for the
# incremental offset. Surprisingly most PDF viewers can handle this.
cursor = text.getStartOfLine()
dx = box.x1 - cursor[0]
dy = baseline_y2 - cursor[1]
text.moveCursor(dx, dy)
# If reportlab tells us this word is 0 units wide, our best seems
# to be to suppress this text
if font_width > 0:
text.setHorizScale(100 * box_width / font_width)
text.textOut(elemtxt)
pdf.drawText(text)
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='Convert hocr file to PDF')
parser.add_argument(
'-b',
'--boundingboxes',
action="store_true",
default=False,
help='Show bounding boxes borders',
)
parser.add_argument(
'-r',
'--resolution',
type=int,
default=300,
help='Resolution of the image that was OCRed',
)
parser.add_argument(
'-i',
'--image',
default=None,
help='Path to the image to be placed above the text',
)
parser.add_argument(
'--interword-spaces',
action='store_true',
default=False,
help='Add spaces between words',
)
parser.add_argument('hocrfile', help='Path to the hocr file to be parsed')
parser.add_argument('outputfile', help='Path to the PDF file to be generated')
args = parser.parse_args()
hocr = HocrTransform(args.hocrfile, args.resolution)
hocr.to_pdf(
args.outputfile,
args.image,
args.boundingboxes,
interwordSpaces=args.interword_spaces,
)
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@@ -1,936 +0,0 @@
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# © 2013-16: jbarlow83 from Github (https://github.com/jbarlow83)
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
#
# Python FFI wrapper for Leptonica library
import argparse
import logging
import os
import sys
import warnings
from collections.abc import Sequence
from contextlib import suppress
from ctypes.util import find_library
from functools import lru_cache
from io import BytesIO
from os import fspath
from tempfile import TemporaryFile
from .exceptions import MissingDependencyError
from .exec import shim_paths_with_program_files
from .lib._leptonica import ffi
# pylint: disable=protected-access
logger = logging.getLogger(__name__)
if os.name == 'nt':
libname = 'liblept-5'
os.environ['PATH'] = shim_paths_with_program_files()
else:
libname = 'lept'
_libpath = find_library(libname)
if not _libpath:
raise MissingDependencyError(
"""
---------------------------------------------------------------------
This error normally occurs when ocrmypdf can't find the Leptonica
library, which is usually installed with Tesseract OCR. It could be that
Tesseract is not installed properly, we can't find the installation
on your system PATH environment variable.
The library we are looking for is usually called:
liblept-5.dll (Windows)
liblept*.dylib (macOS)
liblept*.so (Linux/BSD)
Please review our installation procedures to find a solution:
https://ocrmypdf.readthedocs.io/en/latest/installation.html
---------------------------------------------------------------------
"""
)
try:
lept = ffi.dlopen(_libpath)
lept.setMsgSeverity(lept.L_SEVERITY_WARNING)
except ffi.error as e:
raise MissingDependencyError(
f"Leptonica library found at {_libpath}, but we could not access it"
) from e
class _LeptonicaErrorTrap:
"""
Context manager to trap errors reported by Leptonica.
Leptonica's error return codes don't provide much informatino about what
went wrong. Leptonica does, however, write more detailed errors to stderr
(provided this is not disabled at compile time). The Leptonica source
code is very consistent in its use of macros to generate errors.
This context manager redirects stderr to a temporary file which is then
read and parsed for error messages. As a side benefit, debug messages
from Leptonica are also suppressed.
"""
def __init__(self):
self.tmpfile = None
self.copy_of_stderr = -1
self.no_stderr = False
def __enter__(self):
from io import UnsupportedOperation
self.tmpfile = TemporaryFile()
# Save the old stderr, and redirect stderr to temporary file
with suppress(AttributeError):
sys.stderr.flush()
try:
self.copy_of_stderr = os.dup(sys.stderr.fileno())
os.dup2(self.tmpfile.fileno(), sys.stderr.fileno(), inheritable=False)
except AttributeError:
# We are in some unusual context where our Python process does not
# have a sys.stderr. Leptonica still expects to write to file
# descriptor 2, so we are going to ensure it is redirected.
self.copy_of_stderr = None
self.no_stderr = True
os.dup2(self.tmpfile.fileno(), 2, inheritable=False)
except UnsupportedOperation:
self.copy_of_stderr = None
return
def __exit__(self, exc_type, exc_value, traceback):
# Restore old stderr
with suppress(AttributeError):
sys.stderr.flush()
if self.copy_of_stderr is not None:
os.dup2(self.copy_of_stderr, sys.stderr.fileno())
os.close(self.copy_of_stderr)
if self.no_stderr:
os.close(2)
# Get data from tmpfile
self.tmpfile.seek(0) # Cursor will be at end, so move back to beginning
leptonica_output = self.tmpfile.read().decode(errors='replace')
self.tmpfile.close()
# If there are Python errors, record them
if exc_type:
logger.warning(leptonica_output)
# If there are Leptonica errors, wrap them in Python excpetions
if 'Error' in leptonica_output:
if 'image file not found' in leptonica_output:
raise FileNotFoundError()
if 'pixWrite: stream not opened' in leptonica_output:
raise LeptonicaIOError()
if 'index not valid' in leptonica_output:
raise IndexError()
raise LeptonicaError(leptonica_output)
return False
class LeptonicaError(Exception):
pass
class LeptonicaIOError(LeptonicaError):
pass
class LeptonicaObject:
"""General wrapper for Leptonica objects
When Leptonica returns an object, we bundled it in a wrapper class, which
manages its memory. The wrapper class assumes that it will be calling some
sort of lept.thingDestroy() function when the instance is deleted. Most
Leptonica objects are reference counted, and destroy decrements the
refcount.
Most of the time, when Leptonica returns something, we wrap and it the job
is done. When wrapping objects that came from a Leptonica container, like
a PIXA returning PIX, the subclass must clone the object before passing it
here, to maintain the reference count.
CFFI ensures that the destroy function is called at garbage collection time
so we do not need to mess with __del__.
"""
cdata_destroy = lambda cdata: None
LEPTONICA_TYPENAME = ''
def __init__(self, cdata):
if not cdata:
raise ValueError('Tried to wrap a NULL ' + self.LEPTONICA_TYPENAME)
self._cdata = ffi.gc(cdata, self._destroy)
@classmethod
def _destroy(cls, cdata):
"""Destroy some cdata"""
# Leptonica API uses double-pointers for its destroy APIs to prevent
# dangling pointers. This means we need to put our single pointer,
# cdata, in a temporary CDATA**.
pp = ffi.new('{} **'.format(cls.LEPTONICA_TYPENAME), cdata)
cls.cdata_destroy(pp)
class Pix(LeptonicaObject):
"""
Wrapper around leptonica's PIX object.
Leptonica uses referencing counting on PIX objects. Also, many Leptonica
functions return the original object with an increased reference count
if the operation had no effect (for example, image skew was found to be 0).
This has complications for memory management in Python. Whenever Leptonica
returns a PIX object (new or old), we wrap it in this class, which
registers it with the FFI garbage collector. pixDestroy() decrements the
reference count and only destroys when the last reference is removed.
Leptonica's reference counting is not threadsafe. This class can be used
in a threadsafe manner if a Python threading.Lock protects the data.
This class treats Pix objects as immutable. All methods return new
modified objects. This allows convenient chaining:
>>> Pix.open('filename.jpg').scale((0.5, 0.5)).deskew().show()
"""
LEPTONICA_TYPENAME = "PIX"
cdata_destroy = lept.pixDestroy
def __repr__(self):
if self._cdata:
s = "<leptonica.Pix image size={0}x{1} depth={2}{4} at 0x{3:x}>"
return s.format(
self._cdata.w,
self._cdata.h,
self._cdata.d,
int(ffi.cast('intptr_t', self._cdata)),
'(colormapped)' if self._cdata.colormap else '',
)
else:
return "<leptonica.Pix image NULL>"
def _repr_png_(self):
"""iPython display hook
returns png version of image
"""
data = ffi.new('l_uint8 **')
size = ffi.new('size_t *')
err = lept.pixWriteMemPng(data, size, self._cdata, 0)
if err != 0:
raise LeptonicaIOError("pixWriteMemPng")
char_data = ffi.cast('char *', data[0])
return ffi.buffer(char_data, size[0])[:]
def __getstate__(self):
data = ffi.new('l_uint32 **')
size = ffi.new('size_t *')
err = lept.pixSerializeToMemory(self._cdata, data, size)
if err != 0:
raise LeptonicaIOError("pixSerializeToMemory")
char_data = ffi.cast('char *', data[0])
# Copy from C bytes to python bytes()
data_bytes = ffi.buffer(char_data, size[0])[:]
# Can now free C bytes
lept.lept_free(char_data)
return dict(data=data_bytes)
def __setstate__(self, state):
cdata_bytes = ffi.new('char[]', state['data'])
cdata_uint32 = ffi.cast('l_uint32 *', cdata_bytes)
pix = lept.pixDeserializeFromMemory(cdata_uint32, len(state['data']))
Pix.__init__(self, pix)
def __eq__(self, other):
if not isinstance(other, Pix):
return NotImplemented
same = ffi.new('l_int32 *', 0)
with _LeptonicaErrorTrap():
err = lept.pixEqual(self._cdata, other._cdata, same)
if err:
raise TypeError()
return bool(same[0])
@property
def width(self):
return self._cdata.w
@property
def height(self):
return self._cdata.h
@property
def depth(self):
return self._cdata.d
@property
def size(self):
return (self._cdata.w, self._cdata.h)
@property
def info(self):
return {'dpi': (self._cdata.xres, self._cdata.yres)}
@property
def mode(self):
"Return mode like PIL.Image"
if self.depth == 1:
return '1'
elif self.depth >= 16:
return 'RGB'
elif not self._cdata.colormap:
return 'L'
else:
return 'P'
@classmethod
def read(cls, path):
warnings.warn('Use Pix.open() instead', DeprecationWarning)
return cls.open(path)
@classmethod
def open(cls, path):
"""Load an image file into a PIX object.
Leptonica can load TIFF, PNM (PBM, PGM, PPM), PNG, and JPEG. If
loading fails then the object will wrap a C null pointer.
"""
with open(path, 'rb') as py_file:
data = py_file.read()
buffer = ffi.from_buffer(data)
with _LeptonicaErrorTrap():
return cls(lept.pixReadMem(buffer, len(buffer)))
def write_implied_format(self, path, jpeg_quality=0, jpeg_progressive=0):
"""Write pix to the filename, with the extension indicating format.
jpeg_quality -- quality (iff JPEG; 1 - 100, 0 for default)
jpeg_progressive -- (iff JPEG; 0 for baseline seq., 1 for progressive)
"""
lept_format = lept.getImpliedFileFormat(os.fsencode(path))
with open(path, 'wb') as py_file:
data = ffi.new('l_uint8 **pdata')
size = ffi.new('size_t *psize')
with _LeptonicaErrorTrap():
if lept_format == lept.L_JPEG_ENCODE:
lept.pixWriteMemJpeg(
data, size, self._cdata, jpeg_quality, jpeg_progressive
)
else:
lept.pixWriteMem(data, size, self._cdata, lept_format)
buffer = ffi.buffer(data[0], size[0])
py_file.write(buffer)
@classmethod
def frompil(self, pillow_image):
"""Create a copy of a PIL.Image from this Pix"""
bio = BytesIO()
pillow_image.save(bio, format='png', compress_level=1)
py_buffer = bio.getbuffer()
c_buffer = ffi.from_buffer(py_buffer)
with _LeptonicaErrorTrap():
pix = Pix(lept.pixReadMem(c_buffer, len(c_buffer)))
return pix
def topil(self):
"""Returns a PIL.Image version of this Pix"""
from PIL import Image
# Leptonica manages data in words, so it implicitly does an endian
# swap. Tell Pillow about this when it reads the data.
pix = self
if sys.byteorder == 'little':
if self.mode == 'RGB':
raw_mode = 'XBGR'
elif self.mode == 'RGBA':
raw_mode = 'ABGR'
elif self.mode == '1':
raw_mode = '1;I'
pix = Pix(lept.pixEndianByteSwapNew(pix._cdata))
else:
raw_mode = self.mode
pix = Pix(lept.pixEndianByteSwapNew(pix._cdata))
else:
raw_mode = self.mode # no endian swap needed
size = (pix._cdata.w, pix._cdata.h)
bytecount = pix._cdata.wpl * 4 * pix._cdata.h
buf = ffi.buffer(pix._cdata.data, bytecount)
stride = pix._cdata.wpl * 4
im = Image.frombytes(self.mode, size, buf, 'raw', raw_mode, stride)
return im
def show(self):
return self.topil().show()
def deskew(self, reduction_factor=0):
"""Returns the deskewed pix object.
A clone of the original is returned when the algorithm cannot find a
skew angle with sufficient confidence.
reduction_factor -- amount to downsample (0 for default) when searching
for skew angle
"""
with _LeptonicaErrorTrap():
return Pix(lept.pixDeskew(self._cdata, reduction_factor))
def scale(self, scale_xy):
"Returns the pix object rescaled according to the proportions given."
with _LeptonicaErrorTrap():
return Pix(lept.pixScale(self._cdata, scale_xy[0], scale_xy[1]))
def rotate180(self):
with _LeptonicaErrorTrap():
return Pix(lept.pixRotate180(ffi.NULL, self._cdata))
def rotate_orth(self, quads):
"Orthographic rotation, quads: 0-3, number of clockwise rotations"
with _LeptonicaErrorTrap():
return Pix(lept.pixRotateOrth(self._cdata, quads))
def find_skew(self):
"""Returns a tuple (deskew angle in degrees, confidence value).
Returns (None, None) if no angle is available.
"""
with _LeptonicaErrorTrap():
angle = ffi.new('float *', 0.0)
confidence = ffi.new('float *', 0.0)
result = lept.pixFindSkew(self._cdata, angle, confidence)
if result == 0:
return (angle[0], confidence[0])
else:
return (None, None)
def convert_rgb_to_luminance(self):
with _LeptonicaErrorTrap():
gray_pix = lept.pixConvertRGBToLuminance(self._cdata)
if gray_pix:
return Pix(gray_pix)
return None
def remove_colormap(self, removal_type):
"""Remove a palette (colormap); if no colormap, returns a copy of this
image
removal_type - any of lept.REMOVE_CMAP_*
"""
with _LeptonicaErrorTrap():
return Pix(
lept.pixRemoveColormapGeneral(self._cdata, removal_type, lept.L_COPY)
)
def otsu_adaptive_threshold(
self, tile_size=(300, 300), kernel_size=(4, 4), scorefract=0.1
):
with _LeptonicaErrorTrap():
sx, sy = tile_size
smoothx, smoothy = kernel_size
p_pix = ffi.new('PIX **')
pix = Pix(lept.pixConvertTo8(self._cdata, 0))
result = lept.pixOtsuAdaptiveThreshold(
pix._cdata, sx, sy, smoothx, smoothy, scorefract, ffi.NULL, p_pix
)
if result == 0:
return Pix(p_pix[0])
else:
return None
def otsu_threshold_on_background_norm(
self,
mask=None,
tile_size=(10, 15),
thresh=100,
mincount=50,
bgval=255,
kernel_size=(2, 2),
scorefract=0.1,
):
with _LeptonicaErrorTrap():
sx, sy = tile_size
smoothx, smoothy = kernel_size
mask = ffi.NULL
if isinstance(mask, Pix):
mask = mask._cdata
pix = Pix(lept.pixConvertTo8(self._cdata, 0))
thresh_pix = lept.pixOtsuThreshOnBackgroundNorm(
pix._cdata,
mask,
sx,
sy,
thresh,
mincount,
bgval,
smoothx,
smoothy,
scorefract,
ffi.NULL,
)
return Pix(thresh_pix)
def masked_threshold_on_background_norm(
self,
mask=None,
tile_size=(10, 15),
thresh=100,
mincount=50,
kernel_size=(2, 2),
scorefract=0.1,
):
with _LeptonicaErrorTrap():
sx, sy = tile_size
smoothx, smoothy = kernel_size
mask = ffi.NULL
if isinstance(mask, Pix):
mask = mask._cdata
pix = Pix(lept.pixConvertTo8(self._cdata, 0))
thresh_pix = lept.pixMaskedThreshOnBackgroundNorm(
pix._cdata,
mask,
sx,
sy,
thresh,
mincount,
smoothx,
smoothy,
scorefract,
ffi.NULL,
)
return Pix(thresh_pix)
def crop_to_foreground(
self,
threshold=128,
mindist=70,
erasedist=30,
pagenum=0,
showmorph=0,
display=0,
pdfdir=ffi.NULL,
):
if get_leptonica_version() < 'leptonica-1.76':
# Leptonica 1.76 changed the API for pixFindPageForeground; we don't
# support the old version
raise LeptonicaError("Not available in this version of Leptonica")
with _LeptonicaErrorTrap():
cropbox = Box(
lept.pixFindPageForeground(
self._cdata, threshold, mindist, erasedist, showmorph, ffi.NULL
)
)
cropped_pix = lept.pixClipRectangle(self._cdata, cropbox._cdata, ffi.NULL)
return Pix(cropped_pix)
def clean_background_to_white(
self, mask=None, grayscale=None, gamma=1.0, black=0, white=255
):
with _LeptonicaErrorTrap():
return Pix(
lept.pixCleanBackgroundToWhite(
self._cdata,
mask or ffi.NULL,
grayscale or ffi.NULL,
gamma,
black,
white,
)
)
def gamma_trc(self, gamma=1.0, minval=0, maxval=255):
with _LeptonicaErrorTrap():
return Pix(lept.pixGammaTRC(ffi.NULL, self._cdata, gamma, minval, maxval))
def background_norm(
self,
mask=None,
grayscale=None,
tile_size=(10, 15),
fg_threshold=60,
min_count=40,
bg_val=200,
smooth_kernel=(2, 1),
):
# Background norm doesn't work on color mapped Pix, so remove colormap
target_pix = self.remove_colormap(lept.REMOVE_CMAP_BASED_ON_SRC)
with _LeptonicaErrorTrap():
return Pix(
lept.pixBackgroundNorm(
target_pix._cdata,
mask or ffi.NULL,
grayscale or ffi.NULL,
tile_size[0],
tile_size[1],
fg_threshold,
min_count,
bg_val,
smooth_kernel[0],
smooth_kernel[1],
)
)
@staticmethod
@lru_cache(maxsize=1)
def make_pixel_sum_tab8():
return lept.makePixelSumTab8()
@staticmethod
def correlation_binary(pix1, pix2):
if get_leptonica_version() < 'leptonica-1.72':
# Older versions of Leptonica (pre-1.72) have a buggy
# implementation of pixCorrelationBinary that overflows on larger
# images. Ubuntu 14.04/trusty has 1.70. Ubuntu PPA
# ppa:alex-p/tesseract-ocr has leptonlib 1.75.
raise LeptonicaError("Leptonica version is too old")
correlation = ffi.new('float *', 0.0)
result = lept.pixCorrelationBinary(pix1._cdata, pix2._cdata, correlation)
if result != 0:
raise LeptonicaError("Correlation failed")
return correlation[0]
def generate_pdf_ci_data(self, type_, quality):
"Convert to PDF data, with transcoding"
p_compdata = ffi.new('L_COMP_DATA **')
result = lept.pixGenerateCIData(self._cdata, type_, quality, 0, p_compdata)
if result != 0:
raise LeptonicaError("Generate PDF data failed")
return CompressedData(p_compdata[0])
def invert(self):
return Pix(lept.pixInvert(ffi.NULL, self._cdata))
def locate_barcodes(self):
try:
with _LeptonicaErrorTrap():
pix = Pix(lept.pixConvertTo8(self._cdata, 0))
pixa_candidates = PixArray(lept.pixExtractBarcodes(pix._cdata, 0))
if not pixa_candidates:
return
sarray = StringArray(
lept.pixReadBarcodes(
pixa_candidates._cdata,
lept.L_BF_ANY,
lept.L_USE_WIDTHS,
ffi.NULL,
0,
)
)
except (LeptonicaError, ValueError, IndexError):
return
finally:
leptonica_junk = ('junkpixt.png', 'junkpixt')
for junk in leptonica_junk:
with suppress(FileNotFoundError):
os.unlink(junk) # leptonica may produce this
for n, s in enumerate(sarray):
decoded = s.decode()
if decoded.strip() == '':
continue
box = pixa_candidates.get_box(n)
left, top = box.x, box.y
right, bottom = box.x + box.w, box.y + box.h
yield (decoded, (left, top, right, bottom))
def despeckle(self, size):
if size == 2:
speckle2 = """
oooo
oC o
o o
oooo
"""
sel1 = Sel.from_selstr(speckle2, 'speckle2')
sel2 = Sel.create_brick(2, 2, 0, 0, lept.SEL_HIT)
elif size == 3:
speckle3 = """
ooooo
oC o
o o
o o
ooooo
"""
sel1 = Sel.from_selstr(speckle3, 'speckle3')
sel2 = Sel.create_brick(3, 3, 0, 0, lept.SEL_HIT)
else:
raise ValueError(size)
pixhmt = Pix(lept.pixHMT(ffi.NULL, self._cdata, sel1._cdata))
pixdilated = Pix(lept.pixDilate(ffi.NULL, pixhmt._cdata, sel2._cdata))
pixsub = Pix(lept.pixSubtract(ffi.NULL, self._cdata, pixdilated._cdata))
return pixsub
class CompressedData(LeptonicaObject):
"""Wrapper for L_COMP_DATA - abstract compressed image data"""
LEPTONICA_TYPENAME = 'L_COMP_DATA'
cdata_destroy = lept.l_CIDataDestroy
@classmethod
def open(cls, path, jpeg_quality=75):
"Open compressed data, without transcoding"
filename = fspath(path)
p_compdata = ffi.new('L_COMP_DATA **')
result = lept.l_generateCIDataForPdf(
os.fsencode(filename), ffi.NULL, jpeg_quality, p_compdata
)
if result != 0:
raise LeptonicaError("CompressedData.open")
return CompressedData(p_compdata[0])
def __len__(self):
return self._cdata.nbytescomp
def read(self):
buf = ffi.buffer(self._cdata.datacomp, self._cdata.nbytescomp)
return bytes(buf)
def __getattr__(self, name):
if hasattr(self._cdata, name):
return getattr(self._cdata, name)
raise AttributeError(name)
def get_palette_pdf_string(self):
"Returns palette pre-formatted for use in PDF"
buflen = len('< ') + len(' rrggbb') * self._cdata.ncolors + len('>')
buf = ffi.buffer(self._cdata.cmapdatahex, buflen)
return bytes(buf)
class PixArray(LeptonicaObject, Sequence):
"""Wrapper around PIXA (array of PIX)"""
LEPTONICA_TYPENAME = 'PIXA'
cdata_destroy = lept.pixaDestroy
def __len__(self):
return self._cdata[0].n
def __getitem__(self, n):
with _LeptonicaErrorTrap():
return Pix(lept.pixaGetPix(self._cdata, n, lept.L_CLONE))
def get_box(self, n):
with _LeptonicaErrorTrap():
return Box(lept.pixaGetBox(self._cdata, n, lept.L_CLONE))
class Box(LeptonicaObject):
"""Wrapper around Leptonica's BOX objects (a pixel rectangle)
Uses x, y, w, h coordinates.
"""
LEPTONICA_TYPENAME = 'BOX'
cdata_destroy = lept.boxDestroy
def __repr__(self):
if self._cdata:
return '<leptonica.Box x={0} y={1} w={2} h={3}>'.format(
self.x, self.y, self.w, self.h
)
return '<leptonica.Box NULL>'
@property
def x(self):
return self._cdata.x
@property
def y(self):
return self._cdata.y
@property
def w(self):
return self._cdata.w
@property
def h(self):
return self._cdata.h
class BoxArray(LeptonicaObject, Sequence):
"""Wrapper around Leptonica's BOXA (Array of BOX) objects."""
LEPTONICA_TYPENAME = 'BOXA'
cdata_destroy = lept.boxaDestroy
def __repr__(self):
if not self._cdata:
return '<BoxArray>'
boxes = (repr(box) for box in self)
return '<BoxArray [' + ', '.join(boxes) + ']>'
def __len__(self):
return self._cdata.n
def __getitem__(self, n):
if not isinstance(n, int):
raise TypeError('list indices must be integers')
if 0 <= n < len(self):
return Box(lept.boxaGetBox(self._cdata, n, lept.L_CLONE))
raise IndexError(n)
class StringArray(LeptonicaObject, Sequence):
"""Leptonica SARRAY/string array"""
LEPTONICA_TYPENAME = 'SARRAY'
cdata_destroy = lept.sarrayDestroy
def __len__(self):
return self._cdata.n
def __getitem__(self, n):
if 0 <= n < len(self):
return ffi.string(self._cdata.array[n])
raise IndexError(n)
class Sel(LeptonicaObject):
"""Leptonica 'sel'/selection element for hit-miss transform"""
LEPTONICA_TYPENAME = 'SEL'
cdata_destroy = lept.selDestroy
@classmethod
def from_selstr(cls, selstr, name):
# TODO this will strip a horizontal line of don't care's
lines = [line.strip() for line in selstr.split('\n') if line.strip()]
h = len(lines)
w = len(lines[0])
lengths = set(len(line) for line in lines)
if len(lengths) != 1:
raise ValueError("All lines in selstr must be same length")
repacked = ''.join(line.strip() for line in lines)
buf_selstr = ffi.from_buffer(repacked.encode('ascii'))
buf_name = ffi.from_buffer(name.encode('ascii'))
sel = lept.selCreateFromString(buf_selstr, h, w, buf_name)
return cls(sel)
@classmethod
def create_brick(cls, h, w, cy, cx, type_):
sel = lept.selCreateBrick(h, w, cy, cx, type_)
return cls(sel)
def __repr__(self):
selstr = ffi.gc(lept.selPrintToString(self._cdata), lept.lept_free)
return '<Sel \n' + ffi.string(selstr).decode('ascii') + '\n>'
@lru_cache(maxsize=1)
def get_leptonica_version():
"""Get Leptonica version string.
Caveat: Leptonica expects the caller to free this memory. We don't,
since that would involve binding to libc to access libc.free(),
a pointless effort to reclaim 100 bytes of memory.
"""
return ffi.string(lept.getLeptonicaVersion()).decode()
def deskew(infile, outfile, dpi):
try:
pix_source = Pix.open(infile)
except LeptonicaIOError:
raise LeptonicaIOError("Failed to open file: %s" % infile)
if dpi < 150:
reduction_factor = 1 # Don't downsample too much if DPI is already low
else:
reduction_factor = 0 # Use default
pix_deskewed = pix_source.deskew(reduction_factor)
try:
pix_deskewed.write_implied_format(outfile)
except LeptonicaIOError:
raise LeptonicaIOError("Failed to open destination file: %s" % outfile)
def remove_background(
infile,
outfile,
tile_size=(40, 60),
gamma=1.0,
black_threshold=70,
white_threshold=190,
):
try:
pix = Pix.open(infile)
except LeptonicaIOError:
raise LeptonicaIOError("Failed to open file: %s" % infile)
pix = pix.background_norm(tile_size=tile_size).gamma_trc(
gamma, black_threshold, white_threshold
)
try:
pix.write_implied_format(outfile)
except LeptonicaIOError:
raise LeptonicaIOError("Failed to open destination file: %s" % outfile)
if __name__ == '__main__':
parser = argparse.ArgumentParser(description="Python wrapper to access Leptonica")
subparsers = parser.add_subparsers(
title='commands', description='supported operations'
)
parser_deskew = subparsers.add_parser('deskew')
parser_deskew.add_argument(
'-r',
'--dpi',
dest='dpi',
action='store',
type=int,
default=300,
help='input resolution',
)
parser_deskew.add_argument('infile', help='image to deskew')
parser_deskew.add_argument('outfile', help='deskewed output image')
parser_deskew.set_defaults(func=deskew)
args = parser.parse_args()
args.func(args)
-18
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@@ -1,18 +0,0 @@
# © 2017 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
"""Bindings to external libraries"""
File diff suppressed because one or more lines are too long
-524
View File
@@ -1,524 +0,0 @@
#!/usr/bin/env python3
# © 2017 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
from pathlib import Path
from cffi import FFI
ffibuilder = FFI()
ffibuilder.cdef(
"""
typedef signed char l_int8;
typedef unsigned char l_uint8;
typedef short l_int16;
typedef unsigned short l_uint16;
typedef int l_int32;
typedef unsigned int l_uint32;
typedef float l_float32;
typedef double l_float64;
typedef long long l_int64;
typedef unsigned long long l_uint64;
typedef int l_ok; /*!< return type 0 if OK, 1 on error */
struct Pix
{
l_uint32 w; /* width in pixels */
l_uint32 h; /* height in pixels */
l_uint32 d; /* depth in bits (bpp) */
l_uint32 spp; /* number of samples per pixel */
l_uint32 wpl; /* 32-bit words/line */
l_uint32 refcount; /* reference count (1 if no clones) */
l_int32 xres; /* image res (ppi) in x direction */
/* (use 0 if unknown) */
l_int32 yres; /* image res (ppi) in y direction */
/* (use 0 if unknown) */
l_int32 informat; /* input file format, IFF_* */
l_int32 special; /* special instructions for I/O, etc */
char *text; /* text string associated with pix */
struct PixColormap *colormap; /* colormap (may be null) */
l_uint32 *data; /* the image data */
};
typedef struct Pix PIX;
struct PixColormap
{
void *array; /* colormap table (array of RGBA_QUAD) */
l_int32 depth; /* of pix (1, 2, 4 or 8 bpp) */
l_int32 nalloc; /* number of color entries allocated */
l_int32 n; /* number of color entries used */
};
typedef struct PixColormap PIXCMAP;
/*! Array of pix */
struct Pixa
{
l_int32 n; /*!< number of Pix in ptr array */
l_int32 nalloc; /*!< number of Pix ptrs allocated */
l_uint32 refcount; /*!< reference count (1 if no clones) */
struct Pix **pix; /*!< the array of ptrs to pix */
struct Boxa *boxa; /*!< array of boxes */
};
typedef struct Pixa PIXA;
/*! Array of compressed pix */
struct PixaComp
{
l_int32 n; /*!< number of PixComp in ptr array */
l_int32 nalloc; /*!< number of PixComp ptrs allocated */
l_int32 offset; /*!< indexing offset into ptr array */
struct PixComp **pixc; /*!< the array of ptrs to PixComp */
struct Boxa *boxa; /*!< array of boxes */
};
typedef struct PixaComp PIXAC;
struct Box
{
l_int32 x;
l_int32 y;
l_int32 w;
l_int32 h;
l_uint32 refcount; /* reference count (1 if no clones) */
};
typedef struct Box BOX;
/*! Array of Box */
struct Boxa
{
l_int32 n; /*!< number of box in ptr array */
l_int32 nalloc; /*!< number of box ptrs allocated */
l_uint32 refcount; /*!< reference count (1 if no clones) */
struct Box **box; /*!< box ptr array */
};
typedef struct Boxa BOXA;
/*! String array: an array of C strings */
struct Sarray
{
l_int32 nalloc; /*!< size of allocated ptr array */
l_int32 n; /*!< number of strings allocated */
l_int32 refcount; /*!< reference count (1 if no clones) */
char **array; /*!< string array */
};
typedef struct Sarray SARRAY;
/*! Pdf formatted encoding types */
enum {
L_DEFAULT_ENCODE = 0, /*!< use default encoding based on image */
L_JPEG_ENCODE = 1, /*!< use dct encoding: 8 and 32 bpp, no cmap */
L_G4_ENCODE = 2, /*!< use ccitt g4 fax encoding: 1 bpp */
L_FLATE_ENCODE = 3, /*!< use flate encoding: any depth, cmap ok */
L_JP2K_ENCODE = 4 /*!< use jp2k encoding: 8 and 32 bpp, no cmap */
};
/*! Compressed image data */
struct L_Compressed_Data
{
l_int32 type; /*!< encoding type: L_JPEG_ENCODE, etc */
l_uint8 *datacomp; /*!< gzipped raster data */
size_t nbytescomp; /*!< number of compressed bytes */
char *data85; /*!< ascii85-encoded gzipped raster data */
size_t nbytes85; /*!< number of ascii85 encoded bytes */
char *cmapdata85; /*!< ascii85-encoded uncompressed cmap */
char *cmapdatahex; /*!< hex pdf array for the cmap */
l_int32 ncolors; /*!< number of colors in cmap */
l_int32 w; /*!< image width */
l_int32 h; /*!< image height */
l_int32 bps; /*!< bits/sample; typ. 1, 2, 4 or 8 */
l_int32 spp; /*!< samples/pixel; typ. 1 or 3 */
l_int32 minisblack; /*!< tiff g4 photometry */
l_int32 predictor; /*!< flate data has PNG predictors */
size_t nbytes; /*!< number of uncompressed raster bytes */
l_int32 res; /*!< resolution (ppi) */
};
typedef struct L_Compressed_Data L_COMP_DATA;
/*! Selection */
struct Sel
{
l_int32 sy; /*!< sel height */
l_int32 sx; /*!< sel width */
l_int32 cy; /*!< y location of sel origin */
l_int32 cx; /*!< x location of sel origin */
l_int32 **data; /*!< {0,1,2}; data[i][j] in [row][col] order */
char *name; /*!< used to find sel by name */
};
typedef struct Sel SEL;
enum {
REMOVE_CMAP_TO_BINARY = 0, /*!< remove colormap for conv to 1 bpp */
REMOVE_CMAP_TO_GRAYSCALE = 1, /*!< remove colormap for conv to 8 bpp */
REMOVE_CMAP_TO_FULL_COLOR = 2, /*!< remove colormap for conv to 32 bpp */
REMOVE_CMAP_WITH_ALPHA = 3, /*!< remove colormap and alpha */
REMOVE_CMAP_BASED_ON_SRC = 4 /*!< remove depending on src format */
};
/*! Access and storage flags */
enum {
L_NOCOPY = 0, /*!< do not copy the object; do not delete the ptr */
L_INSERT = L_NOCOPY, /*!< stuff it in; do not copy or clone */
L_COPY = 1, /*!< make/use a copy of the object */
L_CLONE = 2, /*!< make/use clone (ref count) of the object */
L_COPY_CLONE = 3 /*!< make a new array object (e.g., pixa) and fill */
/*!< the array with clones (e.g., pix) */
};
/*! Flags for method of extracting barcode widths */
enum {
L_USE_WIDTHS = 1, /*!< use histogram of barcode widths */
L_USE_WINDOWS = 2 /*!< find best window for decoding transitions */
};
/*! Flags for barcode formats */
enum {
L_BF_UNKNOWN = 0, /*!< unknown format */
L_BF_ANY = 1, /*!< try decoding with all known formats */
L_BF_CODE128 = 2, /*!< decode with Code128 format */
L_BF_EAN8 = 3, /*!< decode with EAN8 format */
L_BF_EAN13 = 4, /*!< decode with EAN13 format */
L_BF_CODE2OF5 = 5, /*!< decode with Code 2 of 5 format */
L_BF_CODEI2OF5 = 6, /*!< decode with Interleaved 2 of 5 format */
L_BF_CODE39 = 7, /*!< decode with Code39 format */
L_BF_CODE93 = 8, /*!< decode with Code93 format */
L_BF_CODABAR = 9, /*!< decode with Code93 format */
L_BF_UPCA = 10 /*!< decode with UPC A format */
};
enum {
L_SEVERITY_EXTERNAL = 0, /* Get the severity from the environment */
L_SEVERITY_ALL = 1, /* Lowest severity: print all messages */
L_SEVERITY_DEBUG = 2, /* Print debugging and higher messages */
L_SEVERITY_INFO = 3, /* Print informational and higher messages */
L_SEVERITY_WARNING = 4, /* Print warning and higher messages */
L_SEVERITY_ERROR = 5, /* Print error and higher messages */
L_SEVERITY_NONE = 6 /* Highest severity: print no messages */
};
enum {
SEL_DONT_CARE = 0,
SEL_HIT = 1,
SEL_MISS = 2
};
"""
)
ffibuilder.cdef(
"""
PIX * pixRead ( const char *filename );
PIX * pixReadMem ( const l_uint8 *data, size_t size );
PIX * pixReadStream ( FILE *fp, l_int32 hint );
PIX * pixScale ( PIX *pixs, l_float32 scalex, l_float32 scaley );
l_int32 pixFindSkew ( PIX *pixs, l_float32 *pangle, l_float32 *pconf );
l_int32 pixWriteImpliedFormat ( const char *filename, PIX *pix, l_int32 quality, l_int32 progressive );
l_int32 getImpliedFileFormat ( const char *filename );
l_ok pixWriteStream ( FILE *fp, PIX *pix, l_int32 format );
l_ok pixWriteStreamJpeg ( FILE *fp, PIX *pixs, l_int32 quality, l_int32 progressive );
l_ok pixWriteMem ( l_uint8 **pdata, size_t *psize, PIX *pix, l_int32 format );
l_ok pixWriteMemJpeg ( l_uint8 **pdata, size_t *psize, PIX *pix, l_int32 quality, l_int32 progressive );
l_int32
pixWriteMemPng(l_uint8 **pdata,
size_t *psize,
PIX *pix,
l_float32 gamma);
void pixDestroy ( PIX **ppix );
l_ok
pixEqual(PIX *pix1,
PIX *pix2,
l_int32 *psame);
PIX *
pixEndianByteSwapNew(PIX *pixs);
PIX * pixDeskew ( PIX *pixs, l_int32 redsearch );
char * getLeptonicaVersion ( );
l_int32 pixCorrelationBinary(PIX *pix1, PIX *pix2, l_float32 *pval);
PIX *pixRotate180(PIX *pixd, PIX *pixs);
PIX *
pixRotateOrth(PIX *pixs,
l_int32 quads);
l_int32 pixCountPixels ( PIX *pix, l_int32 *pcount, l_int32 *tab8 );
PIX * pixAnd ( PIX *pixd, PIX *pixs1, PIX *pixs2 );
l_int32 * makePixelSumTab8 ( void );
PIX * pixDeserializeFromMemory ( const l_uint32 *data, size_t nbytes );
l_int32 pixSerializeToMemory ( PIX *pixs, l_uint32 **pdata, size_t *pnbytes );
PIX * pixConvertRGBToLuminance(PIX *pixs);
PIX * pixConvertTo8(PIX *pixs, l_int32 cmapflag);
PIX * pixRemoveColormap(PIX *pixs, l_int32 type);
l_int32
pixOtsuAdaptiveThreshold(PIX *pixs,
l_int32 sx,
l_int32 sy,
l_int32 smoothx,
l_int32 smoothy,
l_float32 scorefract,
PIX **ppixth,
PIX **ppixd);
PIX *
pixOtsuThreshOnBackgroundNorm(PIX *pixs,
PIX *pixim,
l_int32 sx,
l_int32 sy,
l_int32 thresh,
l_int32 mincount,
l_int32 bgval,
l_int32 smoothx,
l_int32 smoothy,
l_float32 scorefract,
l_int32 *pthresh);
PIX *
pixMaskedThreshOnBackgroundNorm(PIX *pixs,
PIX *pixim,
l_int32 sx,
l_int32 sy,
l_int32 thresh,
l_int32 mincount,
l_int32 smoothx,
l_int32 smoothy,
l_float32 scorefract,
l_int32 *pthresh);
PIX *
pixCleanBackgroundToWhite(PIX *pixs,
PIX *pixim,
PIX *pixg,
l_float32 gamma,
l_int32 blackval,
l_int32 whiteval);
BOX *
pixFindPageForeground ( PIX *pixs,
l_int32 threshold,
l_int32 mindist,
l_int32 erasedist,
l_int32 showmorph,
PIXAC *pixac );
PIX *
pixClipRectangle(PIX *pixs,
BOX *box,
BOX **pboxc);
PIX *
pixBackgroundNorm(PIX *pixs,
PIX *pixim,
PIX *pixg,
l_int32 sx,
l_int32 sy,
l_int32 thresh,
l_int32 mincount,
l_int32 bgval,
l_int32 smoothx,
l_int32 smoothy);
PIX *
pixGammaTRC(PIX *pixd,
PIX *pixs,
l_float32 gamma,
l_int32 minval,
l_int32 maxval);
l_int32
pixNumSignificantGrayColors(PIX *pixs,
l_int32 darkthresh,
l_int32 lightthresh,
l_float32 minfract,
l_int32 factor,
l_int32 *pncolors);
l_int32
pixColorFraction(PIX *pixs,
l_int32 darkthresh,
l_int32 lightthresh,
l_int32 diffthresh,
l_int32 factor,
l_float32 *ppixfract,
l_float32 *pcolorfract);
PIX *
pixColorMagnitude(PIX *pixs,
l_int32 rwhite,
l_int32 gwhite,
l_int32 bwhite,
l_int32 type);
PIX *
pixMaskOverColorPixels(PIX *pixs,
l_int32 threshdiff,
l_int32 mindist);
l_int32
pixGetAverageMaskedRGB(PIX *pixs,
PIX *pixm,
l_int32 x,
l_int32 y,
l_int32 factor,
l_int32 type,
l_float32 *prval,
l_float32 *pgval,
l_float32 *pbval);
PIX *
pixGlobalNormRGB(PIX * pixd,
PIX * pixs,
l_int32 rval,
l_int32 gval,
l_int32 bval,
l_int32 mapval);
PIX *
pixInvert(PIX * pixd,
PIX * pixs);
PIX *
pixRemoveColormapGeneral(PIX *pixs,
l_int32 type,
l_int32 ifnocmap);
l_int32
pixGenerateCIData(PIX *pixs,
l_int32 type,
l_int32 quality,
l_int32 ascii85,
L_COMP_DATA **pcid);
SARRAY *
pixProcessBarcodes(PIX *pixs,
l_int32 format,
l_int32 method,
SARRAY **psaw,
l_int32 debugflag);
PIX *
pixaGetPix(PIXA *pixa,
l_int32 index,
l_int32 accesstype);
BOX*
pixaGetBox (PIXA * pixa,
l_int32 index,
l_int32 accesstype );
PIXA *
pixExtractBarcodes(PIX *pixs,
l_int32 debugflag);
BOXA *
pixLocateBarcodes ( PIX *pixs,
l_int32 thresh,
PIX **ppixb,
PIX **ppixm );
SARRAY *
pixReadBarcodes(PIXA *pixa,
l_int32 format,
l_int32 method,
SARRAY **psaw,
l_int32 debugflag);
PIX *
pixGenHalftoneMask(PIX *pixs,
PIX **ppixtext,
l_int32 *phtfound,
PIXA *pixadb);
l_int32
l_generateCIDataForPdf(const char *fname,
PIX *pix,
l_int32 quality,
L_COMP_DATA **pcid);
BOX *
boxClone ( BOX *box );
BOX *
boxaGetBox ( BOXA *boxa, l_int32 index, l_int32 accessflag );
SEL *
selCreateFromString ( const char *text, l_int32 h, l_int32 w, const char *name );
SEL *
selCreateBrick ( l_int32 h, l_int32 w, l_int32 cy, l_int32 cx, l_int32 type );
char *
selPrintToString(SEL *sel);
PIX *
pixDilate ( PIX *pixd, PIX *pixs, SEL *sel );
PIX *
pixErode ( PIX *pixd, PIX *pixs, SEL *sel );
PIX *
pixHMT ( PIX *pixd, PIX *pixs, SEL *sel );
PIX *
pixSubtract ( PIX *pixd, PIX *pixs1, PIX *pixs2 );
void
boxDestroy(BOX **pbox);
void
boxaDestroy ( BOXA **pboxa );
void
pixaDestroy(PIXA **ppixa);
l_ok
pixRenderBoxa ( PIX *pix, BOXA *boxa, l_int32 width, l_int32 op );
void
l_CIDataDestroy(L_COMP_DATA **pcid);
void
sarrayDestroy(SARRAY **psa);
void
lept_free(void *ptr);
void selDestroy ( SEL **psel );
l_int32
setMsgSeverity(l_int32 newsev);
"""
)
ffibuilder.set_source("ocrmypdf.lib._leptonica", None)
if __name__ == '__main__':
ffibuilder.compile(verbose=True)
if Path('ocrmypdf/lib/_leptonica.py').exists() and Path('src/ocrmypdf').exists():
output = Path('ocrmypdf/lib/_leptonica.py')
output.rename('src/ocrmypdf/lib/_leptonica.py')
Path('ocrmypdf/lib').rmdir()
Path('ocrmypdf').rmdir()
-601
View File
@@ -1,601 +0,0 @@
# © 2018 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
import concurrent.futures
import sys
import tempfile
from collections import defaultdict
from os import fspath
from pathlib import Path
import pikepdf
from pikepdf import Dictionary, Name
from PIL import Image
from tqdm import tqdm
from . import leptonica
from ._jobcontext import PDFContext
from .exceptions import OutputFileAccessError
from .exec import jbig2enc, pngquant
from .helpers import safe_symlink
DEFAULT_JPEG_QUALITY = 75
DEFAULT_PNG_QUALITY = 70
def img_name(root, xref, ext):
return fspath(root / f'{xref:08d}{ext}')
def png_name(root, xref):
return img_name(root, xref, '.png')
def jpg_name(root, xref):
return img_name(root, xref, '.jpg')
def tif_name(root, xref):
return img_name(root, xref, '.tif')
def extract_image_filter(pike, root, log, image, xref):
if image.Subtype != Name.Image:
return None
if image.Length < 100:
log.debug("Skipping small image, xref %s", xref)
return None
pim = pikepdf.PdfImage(image)
if len(pim.filter_decodeparms) > 1:
log.debug("Skipping multiply filtered, xref %s", xref)
return None
filtdp = pim.filter_decodeparms[0]
if pim.bits_per_component > 8:
return None # Don't mess with wide gamut images
if filtdp[0] == Name.JPXDecode:
return None # Don't do JPEG2000
if Name.Decode in image:
return None # Don't mess with custom Decode tables
return pim, filtdp
def extract_image_jbig2(*, pike, root, log, image, xref, options):
result = extract_image_filter(pike, root, log, image, xref)
if result is None:
return None
pim, filtdp = result
if (
pim.bits_per_component == 1
and filtdp != Name.JBIG2Decode
and jbig2enc.available()
):
try:
imgname = Path(root / f'{xref:08d}')
with imgname.open('wb') as f:
ext = pim.extract_to(stream=f)
imgname.rename(imgname.with_suffix(ext))
except pikepdf.UnsupportedImageTypeError:
return None
return xref, ext
return None
def extract_image_generic(*, pike, root, log, image, xref, options):
result = extract_image_filter(pike, root, log, image, xref)
if result is None:
return None
pim, filtdp = result
# Don't try to PNG-optimize 1bpp images, since JBIG2 does it better.
if pim.bits_per_component == 1:
return None
try:
pim.indexed # pikepdf 1.6.3 can't handle [/Indexed [/Array...]]
except NotImplementedError:
return None
if filtdp[0] == Name.DCTDecode and options.optimize >= 2:
# This is a simple heuristic derived from some training data, that has
# about a 70% chance of guessing whether the JPEG is high quality,
# and possibly recompressible, or not. The number itself doesn't mean
# anything.
# bytes_per_pixel = int(raw_jpeg.Length) / (w * h)
# jpeg_quality_estimate = 117.0 * (bytes_per_pixel ** 0.213)
# if jpeg_quality_estimate < 65:
# return None
# We could get the ICC profile here, but there's no need to look at it
# for quality transcoding
# if icc:
# stream = BytesIO(raw_jpeg.read_raw_bytes())
# iccbytes = icc.read_bytes()
# with Image.open(stream) as im:
# im.save(jpg_name(root, xref), icc_profile=iccbytes)
try:
imgname = Path(root / f'{xref:08d}')
with imgname.open('wb') as f:
ext = pim.extract_to(stream=f)
imgname.rename(imgname.with_suffix(ext))
except pikepdf.UnsupportedImageTypeError:
return None
return xref, ext
elif (
pim.indexed
and pim.colorspace in pim.SIMPLE_COLORSPACES
and options.optimize >= 3
):
# Try to improve on indexed images - these are far from low hanging
# fruit in most cases
pim.as_pil_image().save(png_name(root, xref))
return xref, '.png'
elif not pim.indexed and pim.colorspace in pim.SIMPLE_COLORSPACES:
# An optimization opportunity here, not currently taken, is directly
# generating a PNG from compressed data
pim.as_pil_image().save(png_name(root, xref))
return xref, '.png'
elif (
not pim.indexed
and pim.colorspace == Name.ICCBased
and pim.bits_per_component == 1
and not options.jbig2_lossy
):
# We can losslessly optimize 1-bit images to CCITT or JBIG2 without
# paying any attention to the ICC profile, provided we're not doing
# lossy JBIG2
pim.as_pil_image().save(png_name(root, xref))
return xref, '.png'
return None
def extract_images(pike, root, log, options, extract_fn):
"""Extract image using extract_fn
Enumerate images on each page, lookup their xref/ID number in the PDF.
Exclude images that are soft masks (i.e. alpha transparency related).
Record the page number on which an image is first used, since images may be
used on multiple pages (or multiple times on the same page).
Current we do not check Form XObjects or other objects that may contain
images, and we don't evaluate alternate images or thumbnails.
extract_fn must decide if wants to extract the image in this context. If
it does a tuple should be returned: (xref, ext) where .ext is the file
extension. extract_fn must also extract the file it finds interesting.
"""
include_xrefs = set()
exclude_xrefs = set()
pageno_for_xref = {}
errors = 0
for pageno, page in enumerate(pike.pages):
try:
xobjs = page.Resources.XObject
except AttributeError:
continue
for _imname, image in dict(xobjs).items():
if image.objgen[1] != 0:
continue # Ignore images in an incremental PDF
xref = image.objgen[0]
if hasattr(image, 'SMask'):
# Ignore soft masks
smask_xref = image.SMask.objgen[0]
exclude_xrefs.add(smask_xref)
include_xrefs.add(xref)
if xref not in pageno_for_xref:
pageno_for_xref[xref] = pageno
working_xrefs = include_xrefs - exclude_xrefs
for xref in working_xrefs:
image = pike.get_object((xref, 0))
try:
result = extract_fn(
pike=pike, root=root, log=log, image=image, xref=xref, options=options
)
except Exception as e:
log.debug("Image xref %s, error %s", xref, repr(e))
errors += 1
else:
if result:
_, ext = result
yield pageno_for_xref[xref], xref, ext
def extract_images_generic(pike, root, log, options):
"""Extract any >=2bpp image we think we can improve"""
jpegs = []
pngs = []
for _, xref, ext in extract_images(pike, root, log, options, extract_image_generic):
log.debug('xref = %s ext = %s', xref, ext)
if ext == '.png':
pngs.append(xref)
elif ext == '.jpg':
jpegs.append(xref)
log.debug("Optimizable images: JPEGs: %s PNGs: %s", len(jpegs), len(pngs))
return jpegs, pngs
def extract_images_jbig2(pike, root, log, options):
"""Extract any bitonal image that we think we can improve as JBIG2"""
jbig2_groups = defaultdict(list)
for pageno, xref, ext in extract_images(
pike, root, log, options, extract_image_jbig2
):
group = pageno // options.jbig2_page_group_size
jbig2_groups[group].append((xref, ext))
# Elide empty groups
jbig2_groups = {
group: xrefs for group, xrefs in jbig2_groups.items() if len(xrefs) > 0
}
log.debug("Optimizable images: JBIG2 groups: %s", (len(jbig2_groups),))
return jbig2_groups
def _produce_jbig2_images(jbig2_groups, root, log, options):
"""Produce JBIG2 images from their groups"""
def jbig2_group_futures(executor, root, groups):
for group, xref_exts in groups.items():
prefix = f'group{group:08d}'
future = executor.submit(
jbig2enc.convert_group,
cwd=fspath(root),
infiles=(img_name(root, xref, ext) for xref, ext in xref_exts),
out_prefix=prefix,
)
yield future
def jbig2_single_futures(executor, root, groups):
for group, xref_exts in groups.items():
prefix = f'group{group:08d}'
# Second loop is to ensure multiple images per page are unpacked
for n, xref_ext in enumerate(xref_exts):
xref, ext = xref_ext
future = executor.submit(
jbig2enc.convert_single,
cwd=fspath(root),
infile=img_name(root, xref, ext),
outfile=root / f'{prefix}.{n:04d}',
)
yield future
if options.jbig2_page_group_size > 1:
jbig2_futures = jbig2_group_futures
else:
jbig2_futures = jbig2_single_futures
with concurrent.futures.ThreadPoolExecutor(max_workers=options.jobs) as executor:
futures = jbig2_futures(executor, root, jbig2_groups)
with tqdm(
total=len(jbig2_groups),
desc="JBIG2",
unit='item',
disable=not options.progress_bar,
) as pbar:
for future in concurrent.futures.as_completed(futures):
proc = future.result()
if proc.stderr:
log.debug(proc.stderr.decode())
pbar.update()
def convert_to_jbig2(pike, jbig2_groups, root, log, options):
"""Convert images to JBIG2 and insert into PDF.
When the JBIG2 page group size is > 1 we do several JBIG2 images at once
and build a symbol dictionary that will span several pages. Each JBIG2
image must reference to its symbol dictionary. If too many pages shared the
same dictionary JBIG2 encoding becomes more expensive and less efficient.
The default value of 10 was determined through testing. Currently this
must be lossy encoding since jbig2enc does not support refinement coding.
When the JBIG2 symbolic coder is not used, each JBIG2 stands on its own
and needs no dictionary. Currently this must be lossless JBIG2.
"""
_produce_jbig2_images(jbig2_groups, root, log, options)
for group, xref_exts in jbig2_groups.items():
prefix = f'group{group:08d}'
jbig2_symfile = root / (prefix + '.sym')
if jbig2_symfile.exists():
jbig2_globals_data = jbig2_symfile.read_bytes()
jbig2_globals = pikepdf.Stream(pike, jbig2_globals_data)
jbig2_globals_dict = Dictionary(JBIG2Globals=jbig2_globals)
elif options.jbig2_page_group_size == 1:
jbig2_globals_dict = None
else:
raise FileNotFoundError(jbig2_symfile)
for n, xref_ext in enumerate(xref_exts):
xref, _ = xref_ext
jbig2_im_file = root / (prefix + f'.{n:04d}')
jbig2_im_data = jbig2_im_file.read_bytes()
im_obj = pike.get_object(xref, 0)
im_obj.write(
jbig2_im_data, filter=Name.JBIG2Decode, decode_parms=jbig2_globals_dict
)
def transcode_jpegs(pike, jpegs, root, log, options):
for xref in tqdm(
jpegs, desc="JPEGs", unit='image', disable=not options.progress_bar
):
in_jpg = Path(jpg_name(root, xref))
opt_jpg = in_jpg.with_suffix('.opt.jpg')
# This produces a debug warning from PIL
# DEBUG:PIL.Image:Error closing: 'NoneType' object has no attribute
# 'close'. Seems to be mostly harmless
# https://github.com/python-pillow/Pillow/issues/1144
with Image.open(fspath(in_jpg)) as im:
im.save(fspath(opt_jpg), optimize=True, quality=options.jpeg_quality)
if opt_jpg.stat().st_size > in_jpg.stat().st_size:
log.debug("xref %s, jpeg, made larger - skip", xref)
continue
compdata = leptonica.CompressedData.open(opt_jpg)
im_obj = pike.get_object(xref, 0)
im_obj.write(compdata.read(), filter=Name.DCTDecode)
def transcode_pngs(pike, images, image_name_fn, root, log, options):
modified = set()
if options.optimize >= 2:
png_quality = (
max(10, options.png_quality - 10),
min(100, options.png_quality + 10),
)
with concurrent.futures.ThreadPoolExecutor(
max_workers=options.jobs
) as executor:
futures = []
for xref in images:
log.debug(image_name_fn(root, xref))
futures.append(
executor.submit(
pngquant.quantize,
image_name_fn(root, xref),
png_name(root, xref),
png_quality[0],
png_quality[1],
)
)
modified.add(xref)
with tqdm(
desc="PNGs",
total=len(futures),
unit='image',
disable=not options.progress_bar,
) as pbar:
for _future in concurrent.futures.as_completed(futures):
pbar.update()
for xref in modified:
im_obj = pike.get_object(xref, 0)
try:
pix = leptonica.Pix.open(png_name(root, xref))
if pix.mode == '1':
compdata = pix.generate_pdf_ci_data(leptonica.lept.L_G4_ENCODE, 0)
else:
compdata = leptonica.CompressedData.open(png_name(root, xref))
except leptonica.LeptonicaError as e:
# Most likely this means file not found, i.e. quantize did not
# produce an improved version
log.error(e)
continue
# If re-coded image is larger don't use it - we test here because
# pngquant knows the size of the temporary output file but not the actual
# object in the PDF
if len(compdata) > int(im_obj.stream_dict.Length):
log.debug(
f"pngquant: pngquant did not improve over original image "
f"{len(compdata)} > {int(im_obj.stream_dict.Length)}"
)
continue
if compdata.type == leptonica.lept.L_FLATE_ENCODE:
return rewrite_png(pike, im_obj, compdata, log)
elif compdata.type == leptonica.lept.L_G4_ENCODE:
return rewrite_png_as_g4(pike, im_obj, compdata, log)
def rewrite_png_as_g4(pike, im_obj, compdata, log):
im_obj.BitsPerComponent = 1
im_obj.Width = compdata.w
im_obj.Height = compdata.h
im_obj.write(compdata.read())
log.debug(f"PNG to G4 {im_obj.objgen}")
if Name.Predictor in im_obj:
del im_obj.Predictor
if Name.DecodeParms in im_obj:
del im_obj.DecodeParms
im_obj.DecodeParms = Dictionary(
K=-1, BlackIs1=bool(compdata.minisblack), Columns=compdata.w
)
im_obj.Filter = Name.CCITTFaxDecode
return
def rewrite_png(pike, im_obj, compdata, log):
# When a PNG is inserted into a PDF, we more or less copy the IDAT section from
# the PDF and transfer the rest of the PNG headers to PDF image metadata.
# One thing we have to do is tell the PDF reader whether a predictor was used
# on the image before Flate encoding. (Typically one is.)
# According to Leptonica source, PDF readers don't actually need us
# to specify the correct predictor, they just need a value of either:
# 1 - no predictor
# 10-14 - there is a predictor
# Leptonica's compdata->predictor only tells TRUE or FALSE
# 10-14 means the actual predictor is specified in the data, so for any
# number >= 10 the PDF reader will use whatever the PNG data specifies.
# In practice Leptonica should use Paeth, 14, but 15 seems to be the
# designated value for "optimal". So we will use 15.
# See:
# - PDF RM 7.4.4.4 Table 10
# - https://github.com/DanBloomberg/leptonica/blob/master/src/pdfio2.c#L757
predictor = 15 if compdata.predictor > 0 else 1
dparms = Dictionary(Predictor=predictor)
if predictor > 1:
dparms.BitsPerComponent = compdata.bps # Yes, this is redundant
dparms.Colors = compdata.spp
dparms.Columns = compdata.w
im_obj.BitsPerComponent = compdata.bps
im_obj.Width = compdata.w
im_obj.Height = compdata.h
log.debug(
f"PNG {im_obj.objgen}: palette={compdata.ncolors} spp={compdata.spp} bps={compdata.bps}"
)
if compdata.ncolors > 0:
# .ncolors is the number of colors in the palette, not the number of
# colors used in a true color image. The palette string is always
# given as RGB tuples even when the image is grayscale; see
# https://github.com/DanBloomberg/leptonica/blob/master/src/colormap.c#L2067
palette_pdf_string = compdata.get_palette_pdf_string()
palette_data = pikepdf.Object.parse(palette_pdf_string)
palette_stream = pikepdf.Stream(pike, bytes(palette_data))
palette = [Name.Indexed, Name.DeviceRGB, compdata.ncolors - 1, palette_stream]
cs = palette
else:
# ncolors == 0 means we are using a colorspace without a palette
if compdata.spp == 1:
cs = Name.DeviceGray
elif compdata.spp == 3:
cs = Name.DeviceRGB
elif compdata.spp == 4:
cs = Name.DeviceCMYK
im_obj.ColorSpace = cs
im_obj.write(compdata.read(), filter=Name.FlateDecode, decode_parms=dparms)
def optimize(input_file, output_file, context, save_settings):
log = context.log
options = context.options
if options.optimize == 0:
safe_symlink(input_file, output_file)
return
if options.jpeg_quality == 0:
options.jpeg_quality = DEFAULT_JPEG_QUALITY if options.optimize < 3 else 40
if options.png_quality == 0:
options.png_quality = DEFAULT_PNG_QUALITY if options.optimize < 3 else 30
if options.jbig2_page_group_size == 0:
options.jbig2_page_group_size = 10 if options.jbig2_lossy else 1
with pikepdf.Pdf.open(input_file) as pike:
root = Path(output_file).parent / 'images'
root.mkdir(exist_ok=True)
jpegs, pngs = extract_images_generic(pike, root, log, options)
transcode_jpegs(pike, jpegs, root, log, options)
# if options.optimize >= 2:
# Try pngifying the jpegs
# transcode_pngs(pike, jpegs, jpg_name, root, log, options)
transcode_pngs(pike, pngs, png_name, root, log, options)
jbig2_groups = extract_images_jbig2(pike, root, log, options)
convert_to_jbig2(pike, jbig2_groups, root, log, options)
target_file = Path(output_file).with_suffix('.opt.pdf')
pike.remove_unreferenced_resources()
pike.save(target_file, **save_settings)
input_size = Path(input_file).stat().st_size
output_size = Path(target_file).stat().st_size
if output_size == 0:
raise OutputFileAccessError(
f"Output file not created after optimizing. We probably ran "
f"out of disk space in the temporary folder: {tempfile.gettempdir()}."
)
ratio = input_size / output_size
savings = 1 - output_size / input_size
log.info(f"Optimize ratio: {ratio:.2f} savings: {(100 * savings):.1f}%")
if savings < 0:
log.info("Image optimization did not improve the file - discarded")
# We still need to save the file
with pikepdf.open(input_file) as pike:
pike.remove_unreferenced_resources()
pike.save(output_file, **save_settings)
else:
safe_symlink(target_file, output_file)
def main(infile, outfile, level, jobs=1):
from tempfile import TemporaryDirectory
from shutil import copy
class OptimizeOptions:
"""Emulate ocrmypdf's options"""
def __init__(
self, input_file, jobs, optimize_, jpeg_quality, png_quality, jb2lossy
):
self.input_file = input_file
self.jobs = jobs
self.optimize = optimize_
self.jpeg_quality = jpeg_quality
self.png_quality = png_quality
self.jbig2_page_group_size = 0
self.jbig2_lossy = jb2lossy
self.quiet = True
self.progress_bar = False
options = OptimizeOptions(
input_file=infile,
jobs=jobs,
optimize_=int(level),
jpeg_quality=0, # Use default
png_quality=0,
jb2lossy=False,
)
with TemporaryDirectory() as td:
context = PDFContext(options, td, infile, None)
tmpout = Path(td) / 'out.pdf'
optimize(
infile,
tmpout,
context,
dict(
compress_streams=True,
preserve_pdfa=True,
object_stream_mode=pikepdf.ObjectStreamMode.generate,
),
)
copy(fspath(tmpout), fspath(outfile))
if __name__ == '__main__':
main(sys.argv[1], sys.argv[2], sys.argv[3])
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# © 2015 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
"""
Generate a PDFMARK file for Ghostscript >= 9.14, for PDF/A conversion
pdfmark is an extension to the Postscript language that describes some PDF
features like bookmarks and annotations. It was originally specified Adobe
Distiller, for Postscript to PDF conversion:
https://www.adobe.com/content/dam/acom/en/devnet/acrobat/pdfs/pdfmark_reference.pdf
Ghostscript uses pdfmark for PDF to PDF/A conversion as well. To use Ghostscript
to create a PDF/A, we need to create a pdfmark file with the necessary metadata.
This takes care of the many version-specific bugs and pecularities in
Ghostscript's handling of pdfmark.
"""
import base64
from pathlib import Path
from string import Template
import pikepdf
import pkg_resources
ICC_PROFILE_RELPATH = 'data/sRGB.icc'
SRGB_ICC_PROFILE = pkg_resources.resource_filename('ocrmypdf', ICC_PROFILE_RELPATH)
# This is a template written in PostScript which is needed to create PDF/A
# files, from the Ghostscript documentation. Lines beginning with % are
# comments. Python substitution variables have a '$' prefix.
pdfa_def_template = u"""%!
% Define an ICC profile :
/ICCProfile $icc_profile
def
[/_objdef {icc_PDFA} /type /stream /OBJ pdfmark
[{icc_PDFA} << /N 3 >> /PUT pdfmark
[{icc_PDFA} ICCProfile /PUT pdfmark
% Define the output intent dictionary :
[/_objdef {OutputIntent_PDFA} /type /dict /OBJ pdfmark
[{OutputIntent_PDFA} <<
/Type /OutputIntent % Must be so (the standard requires).
/S /GTS_PDFA1 % Must be so (the standard requires).
/DestOutputProfile {icc_PDFA} % Must be so (see above).
/OutputConditionIdentifier ($icc_identifier)
>> /PUT pdfmark
[{Catalog} <</OutputIntents [ {OutputIntent_PDFA} ]>> /PUT pdfmark
"""
def generate_pdfa_ps(target_filename, icc='sRGB'):
"""Create a Postscript pdfmark file for Ghostscript PDF/A conversion
A pdfmark file is a small Postscript program that provides some information
Ghostscript needs to perform PDF/A conversion. The only information we put
in specifies that we want the file to be a PDF/A, and we want to Ghostscript
to convert objects to the sRGB colorspace if it runs into any object that
it decides must be converted.
See the Adobe pdfmark Reference for details:
https://www.adobe.com/content/dam/acom/en/devnet/acrobat/pdfs/pdfmark_reference.pdf
:param target_filename: filename to save
:param icc: ICC identifier such as 'sRGB'
"""
if icc == 'sRGB':
icc_profile = SRGB_ICC_PROFILE
else:
raise NotImplementedError("Only supporting sRGB")
# Read the ICC profile, encode as ASCII85 and convert to a string which we
# will insert in the .ps file
bytes_icc_profile = Path(icc_profile).read_bytes()
icc_profile = base64.a85encode(bytes_icc_profile, adobe=True).decode('ascii')
t = Template(pdfa_def_template)
ps = t.substitute(icc_profile=icc_profile, icc_identifier=icc)
# We should have encoded everything to pure ASCII by this point, and
# to be safe, only allow ASCII in PostScript
Path(target_filename).write_text(ps, encoding='ascii')
return target_filename
def file_claims_pdfa(filename):
"""Determines if the file claims to be PDF/A compliant
This only checks if the XMP metadata contains a PDF/A marker. It does not
do full PDF/A validation.
"""
with pikepdf.open(filename) as pdf:
pdfmeta = pdf.open_metadata()
if not pdfmeta.pdfa_status:
return {
'pass': False,
'output': 'pdf',
'conformance': 'No PDF/A metadata in XMP',
}
valid_part_conforms = {'1A', '1B', '2A', '2B', '2U', '3A', '3B', '3U'}
conformance = f'PDF/A-{pdfmeta.pdfa_status}'
pdfa_dict = {}
if pdfmeta.pdfa_status in valid_part_conforms:
pdfa_dict['pass'] = True
pdfa_dict['output'] = 'pdfa'
pdfa_dict['conformance'] = conformance
return pdfa_dict
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#!/usr/bin/env python3
# © 2015 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
from .info import Colorspace, Encoding, PdfInfo
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# © 2018 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
import logging
import re
import xml.etree.ElementTree as ET
from ..exec import ghostscript
gslog = logging.getLogger()
# Forgive me for I have sinned
# I am using regular expressions to parse XML. However the XML in this case,
# generated by Ghostscript, is self-consistent enough to be parseable.
regex_remove_char_tags = re.compile(
br"""
<char\b
(?: [^>] # anything single character but >
| \">\" # special case: trap ">"
)*
/> # terminate with '/>'
""",
re.VERBOSE,
)
def page_get_textblocks(infile, pageno, xmltext, height):
"""Get text boxes out of Ghostscript txtwrite xml"""
root = xmltext
if not hasattr(xmltext, 'findall'):
return []
def blocks():
for span in root.findall('.//span'):
bbox_str = span.attrib['bbox']
font_size = span.attrib['size']
pts = [int(pt) for pt in bbox_str.split()]
pts[1] = pts[1] - int(float(font_size) + 0.5)
bbox_topdown = tuple(pts)
bb = bbox_topdown
bbox_bottomup = (bb[0], height - bb[3], bb[2], height - bb[1])
yield bbox_bottomup
def joined_blocks():
prev = None
for bbox in blocks():
if prev is None:
prev = bbox
if bbox[1] == prev[1] and bbox[3] == prev[3]:
gap = prev[2] - bbox[0]
height = abs(bbox[3] - bbox[1])
if gap < height:
# Join boxes
prev = (prev[0], prev[1], bbox[2], bbox[3])
continue
# yield previously joined bboxes and start anew
yield prev
prev = bbox
if prev is not None:
yield prev
return [block for block in joined_blocks()]
def extract_text_xml(infile, pdf, pageno=None, log=gslog):
existing_text = ghostscript.extract_text(infile, pageno=None)
existing_text = regex_remove_char_tags.sub(b' ', existing_text)
try:
root = ET.fromstringlist([b'<document>\n', existing_text, b'</document>\n'])
page_xml = root.findall('page')
except ET.ParseError as e:
log.error(
"An error occurred while attempting to retrieve existing text in "
"the input file. Will attempt to continue assuming that there is "
"no existing text in the file. The error was:"
)
log.error(e)
page_xml = [None] * len(pdf.pages)
page_count_difference = len(pdf.pages) - len(page_xml)
if page_count_difference != 0:
log.error("The number of pages in the input file is inconsistent.")
log.error(f"Expected {len(pdf.pages)}, txtwrite says {len(page_xml)}")
if page_count_difference > 0:
page_xml.extend([None] * page_count_difference)
return page_xml
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#!/usr/bin/env python3
# © 2015 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
import logging
import re
from collections import defaultdict, namedtuple
from decimal import Decimal
from enum import Enum
from math import hypot, isclose
from os import fspath
from pathlib import Path
from warnings import warn
import pikepdf
from pikepdf import PdfMatrix
from tqdm import tqdm
from ocrmypdf.exceptions import EncryptedPdfError
from ocrmypdf.exec import ghostscript
from ocrmypdf.pdfinfo import ghosttext
from ocrmypdf.pdfinfo.layout import get_page_analysis, get_text_boxes
logger = logging.getLogger()
Colorspace = Enum('Colorspace', 'gray rgb cmyk lab icc index sep devn pattern jpeg2000')
Encoding = Enum(
'Encoding', 'ccitt jpeg jpeg2000 jbig2 asciihex ascii85 lzw flate ' + 'runlength'
)
FRIENDLY_COLORSPACE = {
'/DeviceGray': Colorspace.gray,
'/CalGray': Colorspace.gray,
'/DeviceRGB': Colorspace.rgb,
'/CalRGB': Colorspace.rgb,
'/DeviceCMYK': Colorspace.cmyk,
'/Lab': Colorspace.lab,
'/ICCBased': Colorspace.icc,
'/Indexed': Colorspace.index,
'/Separation': Colorspace.sep,
'/DeviceN': Colorspace.devn,
'/Pattern': Colorspace.pattern,
'/G': Colorspace.gray, # Abbreviations permitted in inline images
'/RGB': Colorspace.rgb,
'/CMYK': Colorspace.cmyk,
'/I': Colorspace.index,
}
FRIENDLY_ENCODING = {
'/CCITTFaxDecode': Encoding.ccitt,
'/DCTDecode': Encoding.jpeg,
'/JPXDecode': Encoding.jpeg2000,
'/JBIG2Decode': Encoding.jbig2,
'/CCF': Encoding.ccitt, # Abbreviations permitted in inline images
'/DCT': Encoding.jpeg,
'/AHx': Encoding.asciihex,
'/A85': Encoding.ascii85,
'/LZW': Encoding.lzw,
'/Fl': Encoding.flate,
'/RL': Encoding.runlength,
}
FRIENDLY_COMP = {
Colorspace.gray: 1,
Colorspace.rgb: 3,
Colorspace.cmyk: 4,
Colorspace.lab: 3,
Colorspace.index: 1,
}
UNIT_SQUARE = (1.0, 0.0, 0.0, 1.0, 0.0, 0.0)
def _is_unit_square(shorthand):
values = map(float, shorthand)
pairwise = zip(values, UNIT_SQUARE)
return all([isclose(a, b, rel_tol=1e-3) for a, b in pairwise])
XobjectSettings = namedtuple('XobjectSettings', ['name', 'shorthand', 'stack_depth'])
InlineSettings = namedtuple('InlineSettings', ['iimage', 'shorthand', 'stack_depth'])
ContentsInfo = namedtuple(
'ContentsInfo', ['xobject_settings', 'inline_images', 'found_vector', 'name_index']
)
TextboxInfo = namedtuple('TextboxInfo', ['bbox', 'is_visible', 'is_corrupt'])
class VectorInfo:
def __init__(self):
pass
def _normalize_stack(graphobjs):
"""Convert runs of qQ's in the stack into single graphobjs"""
for operands, operator in graphobjs:
operator = str(operator)
if re.match(r'Q*q+$', operator): # Zero or more Q, one or more q
for char in operator: # Split into individual
yield ([], char) # Yield individual
else:
yield (operands, operator)
def _interpret_contents(contentstream, initial_shorthand=UNIT_SQUARE):
"""Interpret the PDF content stream.
The stack represents the state of the PDF graphics stack. We are only
interested in the current transformation matrix (CTM) so we only track
this object; a full implementation would need to track many other items.
The CTM is initialized to the mapping from user space to device space.
PDF units are 1/72". In a PDF viewer or printer this matrix is initialized
to the transformation to device space. For example if set to
(1/72, 0, 0, 1/72, 0, 0) then all units would be calculated in inches.
Images are always considered to be (0, 0) -> (1, 1). Before drawing an
image there should be a 'cm' that sets up an image coordinate system
where drawing from (0, 0) -> (1, 1) will draw on the desired area of the
page.
PDF units suit our needs so we initialize ctm to the identity matrix.
According to the PDF specification, the maximum stack depth is 32. Other
viewers tolerate some amount beyond this. We issue a warning if the
stack depth exceeds the spec limit and set a hard limit beyond this to
bound our memory requirements. If the stack underflows behavior is
undefined in the spec, but we just pretend nothing happened and leave the
CTM unchanged.
"""
stack = []
ctm = PdfMatrix(initial_shorthand)
xobject_settings = []
inline_images = []
name_index = defaultdict(lambda: [])
found_vector = False
vector_ops = set('S s f F f* B B* b b*'.split())
image_ops = set('BI ID EI q Q Do cm'.split())
operator_whitelist = ' '.join(vector_ops | image_ops)
for n, graphobj in enumerate(
_normalize_stack(
pikepdf.parse_content_stream(contentstream, operator_whitelist)
)
):
operands, operator = graphobj
if operator == 'q':
stack.append(ctm)
if len(stack) > 32: # See docstring
if len(stack) > 128:
raise RuntimeError(
"PDF graphics stack overflowed hard limit, operator %i" % n
)
warn("PDF graphics stack overflowed spec limit")
elif operator == 'Q':
try:
ctm = stack.pop()
except IndexError:
# Keeping the ctm the same seems to be the only sensible thing
# to do. Just pretend nothing happened, keep calm and carry on.
warn("PDF graphics stack underflowed - PDF may be malformed")
elif operator == 'cm':
ctm = PdfMatrix(operands) @ ctm
elif operator == 'Do':
image_name = operands[0]
settings = XobjectSettings(
name=image_name, shorthand=ctm.shorthand, stack_depth=len(stack)
)
xobject_settings.append(settings)
name_index[image_name].append(settings)
elif operator == 'INLINE IMAGE': # BI/ID/EI are grouped into this
iimage = operands[0]
inline = InlineSettings(
iimage=iimage, shorthand=ctm.shorthand, stack_depth=len(stack)
)
inline_images.append(inline)
elif operator in vector_ops:
found_vector = True
return ContentsInfo(
xobject_settings=xobject_settings,
inline_images=inline_images,
found_vector=found_vector,
name_index=name_index,
)
def _get_dpi(ctm_shorthand, image_size):
"""Given the transformation matrix and image size, find the image DPI.
PDFs do not include image resolution information within image data.
Instead, the PDF page content stream describes the location where the
image will be rasterized, and the effective resolution is the ratio of the
pixel size to raster target size.
Normally a scanned PDF has the paper size set appropriately but this is
not guaranteed. The most common case is a cropped image will change the
page size (/CropBox) without altering the page content stream. That means
it is not sufficient to assume that the image fills the page, even though
that is the most common case.
A PDF image may be scaled (always), cropped, translated, rotated in place
to an arbitrary angle (rarely) and skewed. Only equal area mappings can
be expressed, that is, it is not necessary to consider distortions where
the effective DPI varies with position.
To determine the image scale, transform an offset axis vector v0 (0, 0),
width-axis vector v0 (1, 0), height-axis vector vh (0, 1) with the matrix,
which gives the dimensions of the image in PDF units. From there we can
compare to actual image dimensions. PDF uses
row vector * matrix_tranposed unlike the traditional
matrix * column vector.
The offset, width and height vectors can be combined in a matrix and
multiplied by the transform matrix. Then we want to calculated
magnitude(width_vector - offset_vector)
and
magnitude(height_vector - offset_vector)
When the above is worked out algebraically, the effect of translation
cancels out, and the vector magnitudes become functions of the nonzero
transformation matrix indices. The results of the derivation are used
in this code.
pdfimages -list does calculate the DPI in some way that is not completely
naive, but it does not get the DPI of rotated images right, so cannot be
used anymore to validate this. Photoshop works, or using Acrobat to
rotate the image back to normal.
It does not matter if the image is partially cropped, or even out of the
/MediaBox.
"""
a, b, c, d, _, _ = ctm_shorthand
# Calculate the width and height of the image in PDF units
image_drawn_width = hypot(a, b)
image_drawn_height = hypot(c, d)
# The scale of the image is pixels per unit of default user space (1/72")
scale_w = image_size[0] / image_drawn_width
scale_h = image_size[1] / image_drawn_height
# DPI = scale * 72
dpi_w = scale_w * 72.0
dpi_h = scale_h * 72.0
return dpi_w, dpi_h
class ImageInfo:
DPI_PREC = Decimal('1.000')
def __init__(self, *, name='', pdfimage=None, inline=None, shorthand=None):
self._name = str(name)
self._shorthand = shorthand
if inline is not None:
self._origin = 'inline'
pim = inline.iimage
elif pdfimage is not None:
self._origin = 'xobject'
pim = pikepdf.PdfImage(pdfimage)
self._width = pim.width
self._height = pim.height
# If /ImageMask is true, then this image is a stencil mask
# (Images that draw with this stencil mask will have a reference to
# it in their /Mask, but we don't actually need that information)
if pim.image_mask:
self._type = 'stencil'
else:
self._type = 'image'
self._bpc = int(pim.bits_per_component)
try:
self._enc = FRIENDLY_ENCODING.get(pim.filters[0], 'image')
except IndexError:
self._enc = '?'
try:
self._color = FRIENDLY_COLORSPACE.get(pim.colorspace, '?')
except NotImplementedError:
self._color = '?'
if self._enc == Encoding.jpeg2000:
self._color = Colorspace.jpeg2000
if self._color == Colorspace.icc:
# Check the ICC profile to determine actual colorspace
pim_icc = pim.icc
if pim_icc.profile.xcolor_space == 'GRAY':
self._comp = 1
elif pim_icc.profile.xcolor_space == 'CMYK':
self._comp = 4
else:
self._comp = 3
else:
self._comp = FRIENDLY_COMP.get(self._color, '?')
# Bit of a hack... infer grayscale if component count is uncertain
# but encoding only supports monochrome.
if self._comp == '?' and self._enc in (Encoding.ccitt, Encoding.jbig2):
self._comp = FRIENDLY_COMP[Colorspace.gray]
@property
def name(self):
return self._name
@property
def type_(self):
return self._type
@property
def width(self):
return self._width
@property
def height(self):
return self._height
@property
def bpc(self):
return self._bpc
@property
def color(self):
return self._color
@property
def comp(self):
return self._comp
@property
def enc(self):
return self._enc
@property
def xres(self):
return _get_dpi(self._shorthand, (self._width, self._height))[0]
@property
def yres(self):
return _get_dpi(self._shorthand, (self._width, self._height))[1]
def __repr__(self):
class_locals = {
attr: getattr(self, attr, None)
for attr in dir(self)
if not attr.startswith('_')
}
return (
"<ImageInfo '{name}' {type_} {width}x{height} {color} "
"{comp} {bpc} {enc} {xres}x{yres}>"
).format(**class_locals)
def _find_inline_images(contentsinfo):
"Find inline images in the contentstream"
for n, inline in enumerate(contentsinfo.inline_images):
yield ImageInfo(
name='inline-%02d' % n, shorthand=inline.shorthand, inline=inline
)
def _image_xobjects(container):
"""Search for all XObject-based images in the container
Usually the container is a page, but it could also be a Form XObject
that contains images. Filter out the Form XObjects which are dealt with
elsewhere.
Generate a sequence of tuples (image, xobj container), where container,
where xobj is the name of the object and image is the object itself,
since the object does not know its own name.
"""
if '/Resources' not in container:
return
resources = container['/Resources']
if '/XObject' not in resources:
return
xobjs = resources['/XObject'].as_dict()
for xobj in xobjs:
candidate = xobjs[xobj]
if not '/Subtype' in candidate:
continue
if candidate['/Subtype'] == '/Image':
pdfimage = candidate
yield (pdfimage, xobj)
def _find_regular_images(container, contentsinfo):
"""Find images stored in the container's /Resources /XObject
Usually the container is a page, but it could also be a Form XObject
that contains images.
Generates images with their DPI at time of drawing.
"""
for pdfimage, xobj in _image_xobjects(container):
if xobj not in contentsinfo.name_index:
continue
for draw in contentsinfo.name_index[xobj]:
if draw.stack_depth == 0 and _is_unit_square(draw.shorthand):
# At least one PDF in the wild (and test suite) draws an image
# when the graphics stack depth is 0, meaning that the image
# gets drawn into a square of 1x1 PDF units (or 1/72",
# or 0.35 mm). The equivalent DPI will be >100,000. Exclude
# these from our DPI calculation for the page.
continue
yield ImageInfo(name=draw.name, pdfimage=pdfimage, shorthand=draw.shorthand)
def _find_form_xobject_images(pdf, container, contentsinfo):
"""Find any images that are in Form XObjects in the container
The container may be a page, or a parent Form XObject.
"""
if '/Resources' not in container:
return
resources = container['/Resources']
if '/XObject' not in resources:
return
xobjs = resources['/XObject'].as_dict()
for xobj in xobjs:
candidate = xobjs[xobj]
if candidate['/Subtype'] != '/Form':
continue
form_xobject = candidate
for settings in contentsinfo.xobject_settings:
if settings.name != xobj:
continue
# Find images once for each time this Form XObject is drawn.
# This could be optimized to cache the multiple drawing events
# but in practice both Form XObjects and multiple drawing of the
# same object are both very rare.
ctm_shorthand = settings.shorthand
yield from _process_content_streams(
pdf=pdf, container=form_xobject, shorthand=ctm_shorthand
)
def _process_content_streams(*, pdf, container, shorthand=None):
"""Find all individual instances of images drawn in the container
Usually the container is a page, but it may also be a Form XObject.
On a typical page images are stored inline or as regular images
in an XObject.
Form XObjects may include inline images, XObject images,
and recursively, other Form XObjects; and also vector graphic objects.
Every instance of an image being drawn somewhere is flattened and
treated as a unique image, since if the same image is drawn multiple times
on one page it may be drawn at differing resolutions, and our objective
is to find the resolution at which the page can be rastered without
downsampling.
"""
if container.get('/Type') == '/Page' and '/Contents' in container:
initial_shorthand = shorthand or UNIT_SQUARE
elif container.get('/Type') == '/XObject' and container['/Subtype'] == '/Form':
# Set the CTM to the state it was when the "Do" operator was
# encountered that is drawing this instance of the Form XObject
ctm = PdfMatrix(shorthand) if shorthand else PdfMatrix.identity()
# A Form XObject may provide its own matrix to map form space into
# user space. Get this if one exists
form_shorthand = container.get('/Matrix', PdfMatrix.identity())
form_matrix = PdfMatrix(form_shorthand)
# Concatenate form matrix with CTM to ensure CTM is correct for
# drawing this instance of the XObject
ctm = form_matrix @ ctm
initial_shorthand = ctm.shorthand
else:
return
contentsinfo = _interpret_contents(container, initial_shorthand)
if contentsinfo.found_vector:
yield VectorInfo()
yield from _find_inline_images(contentsinfo)
yield from _find_regular_images(container, contentsinfo)
yield from _find_form_xobject_images(pdf, container, contentsinfo)
def _page_has_text(text_blocks, page_width, page_height):
"""Smarter text detection that ignores text in margins"""
pw, ph = float(page_width), float(page_height)
margin_ratio = 0.125
interior_bbox = (
margin_ratio * pw, # left
(1 - margin_ratio) * ph, # top
(1 - margin_ratio) * pw, # right
margin_ratio * ph, # bottom (first quadrant: bottom < top)
)
def rects_intersect(a, b):
"""
Where (a,b) are 4-tuple rects (left-0, top-1, right-2, bottom-3)
https://stackoverflow.com/questions/306316/determine-if-two-rectangles-overlap-each-other
Formula assumes all boxes are in first quadrant
"""
return a[0] < b[2] and a[2] > b[0] and a[1] > b[3] and a[3] < b[1]
has_text = False
for bbox in text_blocks:
if rects_intersect(bbox, interior_bbox):
has_text = True
break
return has_text
def simplify_textboxes(miner, textbox_getter):
"""Extract only limited content from text boxes
We do this to save memory and ensure that our objects are pickleable.
"""
for box in textbox_getter(miner):
first_line = box._objs[0]
first_char = first_line._objs[0]
visible = first_char.rendermode != 3
corrupt = first_char.get_text() == '\ufffd'
yield TextboxInfo(box.bbox, visible, corrupt)
def _pdf_get_pageinfo(pdf, pageno: int, infile, xmltext):
pageinfo = {}
pageinfo['pageno'] = pageno
pageinfo['images'] = []
page = pdf.pages[pageno]
mediabox = [Decimal(d) for d in page.MediaBox.as_list()]
width_pt = mediabox[2] - mediabox[0]
height_pt = mediabox[3] - mediabox[1]
if xmltext is not None:
bboxes = ghosttext.page_get_textblocks(
fspath(infile), pageno, xmltext=xmltext, height=height_pt
)
pageinfo['bboxes'] = bboxes
else:
pscript5_mode = str(pdf.docinfo.get('/Creator')).startswith('PScript5')
miner = get_page_analysis(infile, pageno, pscript5_mode)
pageinfo['textboxes'] = list(simplify_textboxes(miner, get_text_boxes))
bboxes = (box.bbox for box in pageinfo['textboxes'])
pageinfo['has_text'] = _page_has_text(bboxes, width_pt, height_pt)
userunit = page.get('/UserUnit', Decimal(1.0))
if not isinstance(userunit, Decimal):
userunit = Decimal(userunit)
pageinfo['userunit'] = userunit
pageinfo['width_inches'] = width_pt * userunit / Decimal(72.0)
pageinfo['height_inches'] = height_pt * userunit / Decimal(72.0)
try:
pageinfo['rotate'] = int(page['/Rotate'])
except KeyError:
pageinfo['rotate'] = 0
userunit_shorthand = (userunit, 0, 0, userunit, 0, 0)
contentsinfo = [
ci
for ci in _process_content_streams(
pdf=pdf, container=page, shorthand=userunit_shorthand
)
]
pageinfo['has_vector'] = False
if any(isinstance(ci, VectorInfo) for ci in contentsinfo):
pageinfo['has_vector'] = True
pageinfo['images'] = [im for im in contentsinfo if isinstance(im, ImageInfo)]
if pageinfo['images']:
xres = Decimal(max(image.xres for image in pageinfo['images']))
yres = Decimal(max(image.yres for image in pageinfo['images']))
pageinfo['xres'], pageinfo['yres'] = xres, yres
pageinfo['width_pixels'] = int(round(xres * pageinfo['width_inches']))
pageinfo['height_pixels'] = int(round(yres * pageinfo['height_inches']))
return pageinfo
def _pdf_get_all_pageinfo(infile, detailed_analysis=False, log=None, progbar=False):
pdf = pikepdf.open(infile) # Do not close in this function
try:
if pdf.is_encrypted:
raise EncryptedPdfError() # Triggered by encryption with empty passwd
if detailed_analysis:
pages_xml = None
else:
pages_xml = ghosttext.extract_text_xml(infile, pdf, pageno=None, log=log)
pages = []
for n, _ in tqdm(
enumerate(pdf.pages),
total=len(pdf.pages),
desc="Scan",
unit='page',
disable=not progbar,
):
page_xml = pages_xml[n] if pages_xml else None
page = PageInfo(pdf, n, infile, page_xml, detailed_analysis)
pages.append(page)
except Exception:
pdf.close()
raise
return pages, pdf
class PageInfo:
def __init__(self, pdf, pageno, infile, xmltext, detailed_analysis=False):
self._pageno = pageno
self._infile = infile
self._pageinfo = _pdf_get_pageinfo(pdf, pageno, infile, xmltext)
self._detailed_analysis = detailed_analysis
@property
def pageno(self):
return self._pageno
@property
def has_text(self):
return self._pageinfo['has_text']
@property
def has_corrupt_text(self):
if not self._detailed_analysis:
raise NotImplementedError('Did not do detailed analysis')
return any(tbox.is_corrupt for tbox in self._pageinfo['textboxes'])
@property
def has_vector(self):
return self._pageinfo['has_vector']
@property
def width_inches(self):
return self._pageinfo['width_inches']
@property
def height_inches(self):
return self._pageinfo['height_inches']
@property
def width_pixels(self):
return int(round(self.width_inches * self.xres))
@property
def height_pixels(self):
return int(round(self.height_inches * self.yres))
@property
def rotation(self):
return self._pageinfo.get('rotate', None)
@rotation.setter
def rotation(self, value):
if value in (0, 90, 180, 270, 360, -90, -180, -270):
self._pageinfo['rotate'] = value
else:
raise ValueError("rotation must be a cardinal angle")
@property
def images(self):
return self._pageinfo['images']
def get_textareas(self, visible=None, corrupt=None):
def predicate(obj, want_visible, want_corrupt):
result = True
if want_visible is not None:
if obj.is_visible != want_visible:
result = False
if want_corrupt is not None:
if obj.is_corrupt != want_corrupt:
result = False
return result
if 'textboxes' not in self._pageinfo:
if visible is not None and corrupt is not None:
raise NotImplementedError('Ghostscript textboxes cannot be classified')
return self._pageinfo['bboxes']
return (
obj.bbox
for obj in self._pageinfo['textboxes']
if predicate(obj, visible, corrupt)
)
@property
def xres(self):
return self._pageinfo.get('xres', None)
@property
def yres(self):
return self._pageinfo.get('yres', None)
@property
def userunit(self):
return self._pageinfo.get('userunit', None)
@property
def min_version(self):
if self.userunit is not None:
return '1.6'
else:
return '1.5'
def __repr__(self):
return (
'<PageInfo ' 'pageno={} {}"x{}" rotation={} res={}x{} has_text={}>'
).format(
self.pageno,
self.width_inches,
self.height_inches,
self.rotation,
self.xres,
self.yres,
self.has_text,
)
class PdfInfo:
"""Get summary information about a PDF"""
def __init__(self, infile, detailed_page_analysis=False, log=logger, progbar=False):
self._infile = infile
if ghostscript.version() in ('9.52',):
detailed_page_analysis = True # txtwrite doesn't work in these versions
self._pages, pdf = _pdf_get_all_pageinfo(
infile, detailed_page_analysis, log=log, progbar=progbar
)
self._needs_rendering = pdf.root.get('/NeedsRendering', False)
self._has_acroform = False
if '/AcroForm' in pdf.root:
if len(pdf.root.AcroForm.get('/Fields', [])) > 0:
self._has_acroform = True
elif '/XFA' in pdf.root.AcroForm:
self._has_acroform = True
pdf.close()
@property
def pages(self):
return self._pages
@property
def min_version(self):
# The minimum PDF is the maximum version that any particular page needs
return max(page.min_version for page in self.pages)
@property
def has_userunit(self):
return any(page.userunit != 1.0 for page in self.pages)
@property
def has_acroform(self):
return self._has_acroform
@property
def filename(self):
if not isinstance(self._infile, (str, Path)):
raise NotImplementedError("can't get filename from stream")
return self._infile
@property
def needs_rendering(self):
return self._needs_rendering
def __getitem__(self, item):
return self._pages[item]
def __len__(self):
return len(self._pages)
def __repr__(self):
return f"<PdfInfo('...'), page count={len(self)}>"
def main():
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('infile')
args = parser.parse_args()
pagesinfo, pdfinfo = _pdf_get_all_pageinfo(args.infile)
from pprint import pprint
pprint(pdfinfo)
for page in pagesinfo:
pprint(page)
for im in page.images:
pprint(im)
if __name__ == '__main__':
main()
-306
View File
@@ -1,306 +0,0 @@
# © 2018 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
import re
from math import copysign
from pathlib import Path
from unittest.mock import patch
import pdfminer
import pdfminer.encodingdb
import pdfminer.pdfdevice
import pdfminer.pdfinterp
from pdfminer.converter import PDFLayoutAnalyzer
from pdfminer.glyphlist import glyphname2unicode
from pdfminer.layout import LAParams, LTChar, LTPage, LTTextBox
from pdfminer.pdfdocument import PDFTextExtractionNotAllowed
from pdfminer.pdffont import PDFFont, PDFSimpleFont, PDFUnicodeNotDefined
from pdfminer.pdfpage import PDFPage
from pdfminer.utils import bbox2str, matrix2str
from ..exceptions import EncryptedPdfError
STRIP_NAME = re.compile(r'[0-9]+')
#
# pdfminer 20181108 patches
#
if pdfminer.__version__ == '20181108':
def name2unicode(name):
"""Fix pdfminer's name2unicode function
Font cids that are mapped to names of the form /g123 seem to be, by convention
characters with no corresponding Unicode entry. These can be subsetted fonts
or symbolic fonts. There seems to be no way to map /g123 fonts to Unicode,
barring a ToUnicode data structure.
"""
if name in glyphname2unicode:
return glyphname2unicode[name]
if name.startswith('g') or name.startswith('a'):
raise KeyError(name)
if name.startswith('uni'):
try:
return chr(int(name[3:], 16))
except ValueError: # Not hexadecimal
raise KeyError(name)
m = STRIP_NAME.search(name)
if not m:
raise KeyError(name)
return chr(int(m.group(0)))
pdfminer.encodingdb.name2unicode = name2unicode
original_PDFFont_init = PDFFont.__init__
def PDFFont__init__(self, descriptor, widths, default_width=None):
original_PDFFont_init(self, descriptor, widths, default_width)
# PDF spec says descent should be negative
# A font with a positive descent implies it floats entirely above the
# baseline, i.e. it's not really a baseline anymore. I have fonts that
# claim a positive descent, but treating descent as positive always seems
# to misposition text.
if self.descent > 0:
self.descent = -self.descent
PDFFont.__init__ = PDFFont__init__
#
# end of pdfminer 20181108 patches
#
original_PDFSimpleFont_init = PDFSimpleFont.__init__
def PDFSimpleFont__init__(self, descriptor, widths, spec):
# Font encoding is specified either by a name of
# built-in encoding or a dictionary that describes
# the differences.
original_PDFSimpleFont_init(self, descriptor, widths, spec)
# pdfminer is incorrect. If there is no ToUnicode and no Encoding, do not
# assume Unicode conversion is possible. RM 9.10.2
if not self.unicode_map and 'Encoding' not in spec:
self.cid2unicode = {}
return
PDFSimpleFont.__init__ = PDFSimpleFont__init__
#
# pdfminer patches when creator is PScript5.dll
#
def PDFType3Font__PScript5_get_height(self):
h = self.bbox[3] - self.bbox[1]
if h == 0:
h = self.ascent - self.descent
return h * copysign(1.0, self.vscale)
def PDFType3Font__PScript5_get_descent(self):
return self.descent * copysign(1.0, self.vscale)
def PDFType3Font__PScript5_get_ascent(self):
return self.ascent * copysign(1.0, self.vscale)
class LTStateAwareChar(LTChar):
"""A subclass of LTChar that tracks text render mode at time of drawing"""
__slots__ = (
'rendermode',
'_text',
'matrix',
'fontname',
'adv',
'upright',
'size',
'width',
'height',
'bbox',
'x0',
'x1',
'y0',
'y1',
)
def __init__(
self,
matrix,
font,
fontsize,
scaling,
rise,
text,
textwidth,
textdisp,
ncs,
graphicstate,
textstate,
):
super().__init__(
matrix,
font,
fontsize,
scaling,
rise,
text,
textwidth,
textdisp,
ncs,
graphicstate,
)
self.rendermode = textstate.render
def is_compatible(self, obj):
"""Check if characters can be combined into a textline
We consider characters compatible if:
- the Unicode mapping is known, and both have the same render mode
- the Unicode mapping is unknown but both are part of the same font
"""
# pylint: disable=protected-access
both_unicode_mapped = isinstance(self._text, str) and isinstance(obj._text, str)
try:
if both_unicode_mapped:
return self.rendermode == obj.rendermode
font0, _ = self._text
font1, _ = obj._text
return font0 == font1 and self.rendermode == obj.rendermode
except (ValueError, AttributeError):
return False
def get_text(self):
if isinstance(self._text, tuple):
return '\ufffd' # standard 'Unknown symbol'
return self._text
def __repr__(self):
return '<%s %s matrix=%s rendermode=%r font=%r adv=%s text=%r>' % (
self.__class__.__name__,
bbox2str(self.bbox),
matrix2str(self.matrix),
self.rendermode,
self.fontname,
self.adv,
self.get_text(),
)
class TextPositionTracker(PDFLayoutAnalyzer):
"""A page layout analyzer that pays attention to text visibility"""
def __init__(self, rsrcmgr, pageno=1, laparams=None):
super().__init__(rsrcmgr, pageno, laparams)
self.textstate = None
self.result = None
self.cur_item = None # not defined in pdfminer code as it should be
def begin_page(self, page, ctm):
super().begin_page(page, ctm)
self.cur_item = LTPage(self.pageno, page.mediabox)
def end_page(self, page):
assert not self._stack, str(len(self._stack))
assert isinstance(self.cur_item, LTPage), str(type(self.cur_item))
if self.laparams is not None:
self.cur_item.analyze(self.laparams)
self.pageno += 1
self.receive_layout(self.cur_item)
def render_string(self, textstate, seq, ncs, graphicstate):
self.textstate = textstate.copy()
super().render_string(self.textstate, seq, ncs, graphicstate)
def render_char(
self, matrix, font, fontsize, scaling, rise, cid, ncs, graphicstate
):
try:
text = font.to_unichr(cid)
assert isinstance(text, str), str(type(text))
except PDFUnicodeNotDefined:
text = self.handle_undefined_char(font, cid)
textwidth = font.char_width(cid)
textdisp = font.char_disp(cid)
item = LTStateAwareChar(
matrix,
font,
fontsize,
scaling,
rise,
text,
textwidth,
textdisp,
ncs,
graphicstate,
self.textstate,
)
self.cur_item.add(item)
return item.adv
def handle_undefined_char(self, font, cid):
# log.info('undefined: %r, %r', font, cid)
return (font.fontname, cid)
def receive_layout(self, ltpage):
self.result = ltpage
def get_result(self):
return self.result
def get_page_analysis(infile, pageno, pscript5_mode):
rman = pdfminer.pdfinterp.PDFResourceManager(caching=True)
dev = TextPositionTracker(rman, laparams=LAParams())
interp = pdfminer.pdfinterp.PDFPageInterpreter(rman, dev)
if pscript5_mode:
patcher = patch.multiple(
'pdfminer.pdffont.PDFType3Font',
spec=True,
get_ascent=PDFType3Font__PScript5_get_ascent,
get_descent=PDFType3Font__PScript5_get_descent,
get_height=PDFType3Font__PScript5_get_height,
)
patcher.start()
try:
with Path(infile).open('rb') as f:
page = PDFPage.get_pages(f, pagenos=[pageno], maxpages=0)
interp.process_page(next(page))
except PDFTextExtractionNotAllowed:
raise EncryptedPdfError()
finally:
if pscript5_mode:
patcher.stop()
return dev.get_result()
def get_text_boxes(obj):
for child in obj:
if isinstance(child, (LTTextBox)):
yield child
else:
try:
yield from get_text_boxes(child)
except TypeError:
continue
-60
View File
@@ -1,60 +0,0 @@
# © 2020 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
import re
from typing import Iterable
"""Utilities to measure OCR quality"""
class OcrQualityDictionary:
"""Manages a dictionary for simple OCR quality checks."""
def __init__(self, *, wordlist: Iterable[str] = []):
"""Construct a dictionary from a list of words.
Words for which capitalization is important should be capitalized in the
dictionary. Words that contain spaces or other punctuation will never match.
"""
self.dictionary = set()
self.dictionary.update(w for w in wordlist)
def measure_words_matched(self, ocr_text: str) -> float:
"""Check how many unique words in the OCR text match a dictionary.
Words with mixed capitalized are only considered a match if the test word
matches that capitalization.
Returns:
number of words that match / number
"""
text = re.sub(r"[0-9_]+", ' ', ocr_text)
text = re.sub(r'\W+', ' ', text)
text_words_list = re.split(r'\s+', text)
text_words = {w for w in text_words_list if len(w) >= 3}
matches = 0
for w in text_words:
if w in self.dictionary or (
w != w.lower() and w.lower() in self.dictionary
):
matches += 1
if matches > 0:
hit_ratio = matches / len(text_words)
else:
hit_ratio = 0.0
return hit_ratio
+53
View File
@@ -0,0 +1,53 @@
#! /bin/bash
set -x
set -e
chmod +x OCRmyPDF*.AppImage
# run OCRmyPDF to test if the AppImage can ocr a test file
run_appimage()
{
echo ""
./OCRmyPDF*.AppImage --help
echo ""
./OCRmyPDF*.AppImage --list-programs
echo ""
./OCRmyPDF*.AppImage --list-licenses
echo ""
./OCRmyPDF*.AppImage ocrmypdf -l deu -s -d --jbig2-lossy --optimize 1 "$TRAVIS_BUILD_DIR"/test/test.pdf output.pdf
echo ""
}
# check AppImage for common issues
run_appimagelint()
{
wget https://github.com/TheAssassin/appimagelint/releases/download/continuous/appimagelint-x86_64.AppImage
chmod +x appimagelint-x86_64.AppImage
./appimagelint-x86_64.AppImage OCRmyPDF*.AppImage
}
# extract the OCRmyPDF AppImage, install pytest & test requirements and run pytest
run_pytest()
{
git clone --depth=1 --branch "v$OCRMYPDF_VERSION" https://github.com/jbarlow83/OCRmyPDF.git
./OCRmyPDF*.AppImage --appimage-extract
pushd squashfs-root
./AppRun python3 -m pip install pytest
./AppRun python3 -m pip install -r ../OCRmyPDF/requirements/test.txt
./AppRun python3 -m pytest ../OCRmyPDF -n auto
popd
}
run_appimage
run_appimagelint
# run_pytest
BIN
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Binary file not shown.
@@ -1 +0,0 @@
Tesseract Open Source OCR Engine v4.0.0 with Leptonica
@@ -1,25 +0,0 @@
a la Waterman
4 ons linzen
3 liter water
3 uien
bloem, boter
2 kopjes melk
laurier, kruidnagel, kerrie, zout
De linzgen wassen en in -l liter kokend wa-
ter 1 dag laten weken, 2 liter water bij
de linzen voegen, zonder het water waarin
ze geweekt zijn af te gieten, De helft van
de uien bakken met laurier en Kruicdnagel.
Alle uien, kerrie en gout bij de linzen
voegen, Alles aan de kook brengen,. Van de
bloem met boter en melk een papje maken en
verder afmaken met de soep, Als de linzen
gaar Zijn is de soep klaar.
@@ -1 +0,0 @@
Tesseract Open Source OCR Engine v4.1.0 with Leptonica
@@ -1,30 +0,0 @@
Tarnose
Bokale oa
Lehuntze
Mugerre
Milafranga Komunikabideak
BAIONA i zeettnansise —
1 Trenbideak -- ~~~
t\ Basusarri — spmsans20141004 se: . a ~
@@ -1 +0,0 @@
Tesseract Open Source OCR Engine v4.1.0 with Leptonica

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