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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
298 changed files with 341 additions and 23403 deletions
-16
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@@ -1,16 +0,0 @@
# Coverage isn't really compatible with subprocesses so results are unreliable
[run]
branch = True
#concurrency = multiprocessing
source = ocrmypdf/
[report]
exclude_lines =
pragma: no cover
def __repr__
raise AssertionError
raise NotImplementedError
if 0:
if False:
if __name__ == .__main__.:
-54
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@@ -1,54 +0,0 @@
# OCRmyPDF
#
FROM ubuntu:17.10
RUN apt-get update && apt-get install -y --no-install-recommends \
software-properties-common python-software-properties \
python3-wheel \
python3-reportlab \
python3-venv \
ghostscript \
qpdf \
poppler-utils \
unpaper \
libffi-dev \
tesseract-ocr \
tesseract-ocr-eng \
tesseract-ocr-fra \
tesseract-ocr-spa \
tesseract-ocr-deu
ENV LANG=C.UTF-8
RUN python3 -m venv --system-site-packages /appenv
# This installs the latest binary wheel instead of the code in the current
# folder. Installing from source will fail, apparently because cffi needs
# build-essentials (gcc) to do a source installation
# (i.e. "pip install ."). It's unclear to me why this is the case.
RUN . /appenv/bin/activate; \
pip install --upgrade pip \
&& pip install ocrmypdf
# Now copy the application in, mainly to get the test suite.
# Do this now to make the best use of Docker cache.
COPY . /application
RUN . /appenv/bin/activate; \
pip install -r /application/test_requirements.txt
# Remove the junk, including the source version of application since it was
# already installed
RUN rm -rf /tmp/* /var/tmp/* /root/* /application/ocrmypdf \
&& apt-get autoremove -y \
&& apt-get autoclean -y
RUN useradd docker \
&& mkdir /home/docker \
&& chown docker:docker /home/docker
USER docker
WORKDIR /home/docker
# Must use array form of ENTRYPOINT
# Non-array form does not append other arguments, because that is "intuitive"
ENTRYPOINT ["/application/.docker/docker-wrapper.sh"]
-17
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@@ -1,17 +0,0 @@
# OCRmyPDF polyglot
#
FROM jbarlow83/ocrmypdf:latest
USER root
# Update system and install our dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
tesseract-ocr-all
RUN apt-get autoremove -y && apt-get clean -y
USER docker
# Must use array form of ENTRYPOINT
# Non-array form does not append other arguments, because that is "intuitive"
ENTRYPOINT ["/application/.docker/docker-wrapper.sh"]
-64
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@@ -1,64 +0,0 @@
# OCRmyPDF
#
FROM ubuntu:17.10
RUN apt-get update && apt-get install -y --no-install-recommends \
software-properties-common python-software-properties \
python3-wheel \
python3-reportlab \
python3-venv \
ghostscript \
qpdf \
poppler-utils \
unpaper \
libffi-dev
RUN add-apt-repository ppa:alex-p/tesseract-ocr
RUN apt-get update \
&& apt-get autoremove -y \
&& apt-get install -y --no-install-recommends \
tesseract-ocr \
tesseract-ocr-eng \
tesseract-ocr-fra \
tesseract-ocr-deu \
tesseract-ocr-spa \
tesseract-ocr-por \
tesseract-ocr-ara \
tesseract-ocr-rus \
tesseract-ocr-chi-sim
ENV LANG=C.UTF-8
RUN python3 -m venv --system-site-packages /appenv
# This installs the latest binary wheel instead of the code in the current
# folder. Installing from source will fail, apparently because cffi needs
# build-essentials (gcc) to do a source installation
# (i.e. "pip install ."). It's unclear to me why this is the case.
RUN . /appenv/bin/activate; \
pip install --upgrade pip \
&& pip install ocrmypdf
# Now copy the application in, mainly to get the test suite.
# Do this now to make the best use of Docker cache.
COPY . /application
RUN . /appenv/bin/activate; \
pip install -r /application/test_requirements.txt
# Remove the junk, including the source version of application since it was
# already installed
RUN rm -rf /tmp/* /var/tmp/* /root/* /application/ocrmypdf \
&& apt-get autoremove -y \
&& apt-get autoclean -y
RUN useradd docker \
&& mkdir /home/docker \
&& chown docker:docker /home/docker
USER docker
WORKDIR /home/docker
# Must use array form of ENTRYPOINT
# Non-array form does not append other arguments, because that is "intuitive"
ENTRYPOINT ["/application/.docker/docker-wrapper.sh"]
-5
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@@ -1,5 +0,0 @@
#!/bin/bash
. /appenv/bin/activate
cd /home/docker
exec ocrmypdf "$@"
-25
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@@ -1,25 +0,0 @@
*.ipynb
*.pdf
*.pyc
*.rst
*.sublime*
**/*.pyc
.*/
!.docker/
.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: $Format:%D$
-13
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@@ -1,13 +0,0 @@
# 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
.git_archival.txt export-subst
-3
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@@ -1,3 +0,0 @@
Please include the command line and (if needed) a test file with your issue report.
If possible, please use a test file that we can include in future test cases (no personal information, no copyrighted material).
-44
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@@ -1,44 +0,0 @@
# Development environment
*.pyc
*.sublime-*
venv*/
pyvenv.cfg
tasks.py
.bash_history
.ruffus_history.sqlite
.idea/
.pytest_cache/
# Package building
*.egg-info/
.cache/
.eggs/
build/
dist/
wheelhouse/
# Automatically generated files
ocrmypdf/lib/_*.py
ocrmypdf/version.py
docs/_build/
docs/_static/
docs/_templates/
docs/Makefile
# Code coverage
.coverage
htmlcov/
# Testing
log/
/*.pdf
/*.qdf
*.ipynb
.ipynb_checkpoints/
tests/output/
tests/resources/private/
tmp/
pdfbox-app*.jar
.vscode/
IDEAS
_Dockerfile.local
+23 -93
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@@ -1,99 +1,29 @@
language: generic
sudo: required
dist: trusty
language: python
cache:
pip: true
directories:
- packages
- $HOME/Library/Caches/Homebrew
env:
global:
- secure: "hsf6MT+n2x3OiDM2fQyJZdV0/PWYmv81LdVqC6cfnHBE/8N3DloJRqQ7WfO14TxhiK9PEC7MpyCj0lSabUHEO7gSH6Vks6I1asoSkt8S9/bSMlhT4hei+pwVpeGEiU5xHVATNjY+D919VC3IFvc3XmjT74h/2SLhaZ+jhEmDggM=" # HOMEBREW_OCRMYPDF_TOKEN
matrix:
include:
- os: linux
sudo: required
language: python
python: 3.5
env: EXTRAS=
- os: linux
sudo: required
language: python
python: 3.6
env: EXTRAS=
- os: linux
sudo: required
language: python
python: 3.6
env: EXTRAS=[fitz]
- os: osx
osx_image: xcode8
language: generic
env: EXTRAS=[fitz]
before_cache:
- rm -f $HOME/.cache/pip/log/debug.log
before_install: |
if [[ "$TRAVIS_OS_NAME" == "linux" ]]; then
bash .travis/linux_before_install.sh
elif [[ "$TRAVIS_OS_NAME" == "osx" ]]; then
brew update && brew bundle --file=.travis/Brewfile
pip3 install --upgrade pip
pip3 install wheel
fi
install:
- pip3 install ".$EXTRAS"
- pip3 install -r requirements.txt -r test_requirements.txt
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:
- tesseract --version
- qpdf --version
- pytest
- 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
deploy:
# release for main pypi
# 3.6 w/o fitz is considered the build leader and does the deploy, otherwise there is
# a race and all versions will try to deploy
# OTOH if we ever need separate binary wheels then each version needs its
# own deploy
- provider: pypi
user: ocrmypdf-travis
password:
secure: "DTFOmmNL6olA0+yXvp4u9jXZlZeqrJsJ0526jzqf4a3gZ6jnGTq5UI6WzRsslSyoMMfXKtHQebqHM6ogSgCZinyZ3ufHJo8fn9brxbEc2gsiWkbj5o3bGwdWMT1vNNE7XW0VCpw87rZ1EEwjl4FJHFudMlPR1yfU5+uq0k0PACo="
distributions: "sdist bdist_wheel"
on:
branch: master
tags: true
condition: $TRAVIS_PYTHON_VERSION == "3.6" && $TRAVIS_OS_NAME == "linux" && $EXTRAS == ""
skip_upload_docs: true
after_success:
- bash upload.sh OCRmyPDF*.AppImage
# test pypi
- provider: pypi
server: https://testpypi.pypi.org/legacy/
user: ocrmypdf-travis
password:
secure: "DTFOmmNL6olA0+yXvp4u9jXZlZeqrJsJ0526jzqf4a3gZ6jnGTq5UI6WzRsslSyoMMfXKtHQebqHM6ogSgCZinyZ3ufHJo8fn9brxbEc2gsiWkbj5o3bGwdWMT1vNNE7XW0VCpw87rZ1EEwjl4FJHFudMlPR1yfU5+uq0k0PACo="
distributions: "sdist"
on:
branch: develop
tags: false
condition: $TRAVIS_OS_NAME == "osx"
skip_upload_docs: true
# null deploy for osx
# we really just want to run after_deploy *after* pypi upload is done, but
# after_deploy on runs if a given box deployed
- provider: script
script: /usr/bin/true
on:
branch: master
tags: true
condition: $TRAVIS_OS_NAME == "osx"
after_deploy: |
if [[ "$TRAVIS_OS_NAME" == "osx" ]]; then
bash .travis/osx_brew.sh
fi
branches:
except:
# Do not build tags that we create when we upload to GitHub Releases
- /^(?i:continuous)/
-13
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@@ -1,13 +0,0 @@
brew 'python'
brew 'ghostscript'
brew 'jbig2dec'
brew 'leptonica'
brew 'libffi'
brew 'libtiff'
brew 'libxml2'
brew 'mupdf-tools'
brew 'openjpeg'
brew 'qpdf'
brew 'tesseract'
brew 'unpaper'
-93
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@@ -1,93 +0,0 @@
#!/usr/bin/env python3
# © 2017-18 James R. Barlow: github.com/jbarlow83
from string import Template
from subprocess import run, PIPE
import re
recipe_template = Template("""
class Ocrmypdf < Formula
include Language::Python::Virtualenv
desc "Adds an OCR text layer to scanned PDF files"
homepage "https://github.com/jbarlow83/OCRmyPDF"
${ocrmypdf_url}
${ocrmypdf_sha256}
depends_on "pkg-config" => :build
depends_on "mupdf-tools" => :build # statically links libmupdf.a
depends_on "freetype"
depends_on "ghostscript"
depends_on "jpeg"
depends_on "libpng"
depends_on "python"
depends_on "qpdf"
depends_on "tesseract"
depends_on "unpaper"
${resources}
def install
venv = virtualenv_create(libexec, "python3")
resource("Pillow").stage do
inreplace "setup.py" do |s|
sdkprefix = MacOS::CLT.installed? ? "" : MacOS.sdk_path
s.gsub! "openjpeg.h", "probably_not_a_header_called_this_eh.h"
s.gsub! "ZLIB_ROOT = None", "ZLIB_ROOT = ('#{sdkprefix}/usr/lib', '#{sdkprefix}/usr/include')"
s.gsub! "JPEG_ROOT = None", "JPEG_ROOT = ('#{Formula["jpeg"].opt_prefix}/lib', '#{Formula["jpeg"].opt_prefix}/include')"
s.gsub! "FREETYPE_ROOT = None", "FREETYPE_ROOT = ('#{Formula["freetype"].opt_prefix}/lib', '#{Formula["freetype"].opt_prefix}/include')"
end
# avoid triggering "helpful" distutils code that doesn't recognize Xcode 7 .tbd stubs
ENV.append "CFLAGS", "-I#{MacOS.sdk_path}/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers" unless MacOS::CLT.installed?
venv.pip_install Pathname.pwd
end
res = resources.map(&:name).to_set - ["Pillow"]
res.each do |r|
venv.pip_install resource(r)
end
venv.pip_install_and_link buildpath
end
test do
# Since we use Python 3, we require a UTF-8 locale
ENV["LC_ALL"] = "en_US.UTF-8"
system "#{bin}/ocrmypdf", "-f", "-q", "--deskew",
test_fixtures("test.pdf"), "ocr.pdf"
assert_predicate testpath/"ocr.pdf", :exist?
end
end
""")
def main():
p = run(['poet', '--single', 'ocrmypdf'],
encoding='utf-8', stdout=PIPE, check=True)
ocrmypdf_lines = p.stdout.splitlines()
ocrmypdf_url = ocrmypdf_lines[1].strip()
ocrmypdf_sha256 = ocrmypdf_lines[2].strip()
ocrmypdf_version = re.search(
r'ocrmypdf-(.+)\.tar.*', ocrmypdf_url).group(1)
print(f"Autobrewing {ocrmypdf_version}")
p = run(['poet', '--resources', 'ocrmypdf'],
encoding='utf-8', stdout=PIPE, check=True)
poet_resources = p.stdout
# Remove the duplicate "ocrmypdf" resource block
all_resources = poet_resources.split('resource')
kept_resources = [block for block in all_resources if 'ocrmypdf' not in block]
resources = 'resource'.join(kept_resources)
with open('ocrmypdf.rb', 'w') as out:
out.write(recipe_template.substitute(**locals()))
if __name__ == '__main__':
main()
-31
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@@ -1,31 +0,0 @@
#!/bin/bash
# © 2017 James R. Barlow: github.com/jbarlow83
set -euo pipefail
set -x
sudo add-apt-repository ppa:vshn/ghostscript -y
sudo add-apt-repository ppa:heyarje/libav-11 -y
sudo apt-get update -qq
sudo apt-get install -y \
ghostscript \
qpdf \
poppler-utils \
libavformat56 \
libavcodec56 \
libavutil54 \
libffi-dev
sudo add-apt-repository ppa:alex-p/tesseract-ocr -y
sudo apt-get update
sudo apt-get autoremove -y
sudo apt-get install -y --no-install-recommends \
tesseract-ocr \
tesseract-ocr-eng \
tesseract-ocr-fra \
tesseract-ocr-deu
pip install --upgrade pip
mkdir -p packages
[ -f packages/unpaper_6.1-1.deb ] || wget -q 'https://www.dropbox.com/s/vaq0kbwi6e6au80/unpaper_6.1-1.deb?raw=1' -O packages/unpaper_6.1-1.deb
sudo dpkg -i packages/unpaper_6.1-1.deb
-23
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@@ -1,23 +0,0 @@
#!/bin/bash
# © 2017 James R. Barlow: github.com/jbarlow83
set -uo pipefail
set -x
pip3 install homebrew-pypi-poet
python3 .travis/autobrew.py
cat ocrmypdf.rb
# brew audit crashes Travis
#brew audit ocrmypdf.rb
# Important: disable debug output so token is hidden
set +x
git clone https://$HOMEBREW_OCRMYPDF_TOKEN@github.com/jbarlow83/homebrew-ocrmypdf.git
set -x
pushd homebrew-ocrmypdf
cp ../ocrmypdf.rb Formula/ocrmypdf.rb
git add Formula/ocrmypdf.rb
git commit -m "homebrew-ocrmypdf: automatic release $TRAVIS_BUILD_NUMBER $TRAVIS_TAG"
git push origin master
popd
-674
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@@ -1,674 +0,0 @@
GNU GENERAL PUBLIC LICENSE
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Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
Everyone is permitted to copy and distribute verbatim copies
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How to Apply These Terms to Your New Programs
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Also add information on how to contact you by electronic and paper mail.
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The hypothetical commands `show w' and `show c' should show the appropriate
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For more information on this, and how to apply and follow the GNU GPL, see
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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
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<https://www.gnu.org/licenses/why-not-lgpl.html>.
-49
View File
@@ -1,49 +0,0 @@
# requirements
include requirements.txt
include test_requirements.txt
include dev_requirements.txt
# git
include .git_archival.txt
# docker
include .dockerignore
recursive-include .docker *
# tests
include .coveragerc
recursive-include tests *.jpg
recursive-include tests *.png
recursive-include tests *.pdf
recursive-include tests *.py
recursive-include tests *.rst
recursive-include tests *.txt
recursive-include tests/cache *
recursive-exclude tests/output *
recursive-exclude tests/output_pageinfo *
recursive-exclude tests/resources/private *
# documentation
include LICENSE
include *.rst
recursive-exclude .github *
recursive-include docs *.py
recursive-include docs *.rst
recursive-include docs *.svg
recursive-exclude docs/_build *
# support files
recursive-include src/ocrmypdf/data *
include *.py
exclude tasks.py
recursive-exclude .travis *
exclude .travis*
# code
recursive-include src/ocrmypdf *.py
exclude ocrmypdf/lib/_leptonica.py
+40
View File
@@ -0,0 +1,40 @@
# 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]
## 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
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
```
[APPIMAGE]: https://appimage.org
[OCRMYPDF]: https://github.com/jbarlow83/OCRmyPDF
-155
View File
@@ -1,155 +0,0 @@
OCRmyPDF
========
.. image:: https://travis-ci.org/jbarlow83/OCRmyPDF.svg?branch=master
:target: https://travis-ci.org/jbarlow83/OCRmyPDF
.. image:: https://img.shields.io/pypi/v/ocrmypdf.svg
:target: https://pypi.org/project/ocrmypdf/
.. image:: https://img.shields.io/homebrew/v/ocrmypdf.svg
:alt: homebrew
:target: http://brewformulas.org/Ocrmypdf
OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to
be searched or copy-pasted.
.. code-block:: 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
Main features
-------------
- 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 rendering vector information
- Keeps file size about the same
- If requested deskews and/or cleans the image before performing OCR
- Validates input and output files
- Provides debug mode to enable easy verification of the OCR results
- Processes pages in parallel when more than one CPU core is
available
- Uses `Tesseract OCR <https://github.com/tesseract-ocr/tesseract>`_ engine
- Supports more than `100 languages <https://github.com/tesseract-ocr/tessdata>`_ recognized by Tesseract
- Battle-tested on thousands of PDFs, a test suite and continuous integration
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 on
Linux/UNIX: 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 some of my PDF files
- Or they did not produce valid PDF files (even though they were readable with my current PDF reader)
- 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 (using various existing scripts
as an inspiration).
Installation
------------
Linux, UNIX, and macOS are supported. Windows is not directly supported but there is a Docker image available that runs on Windows.
Users of Debian 9 or later or Ubuntu 16.10 or later may simply
.. code-block:: bash
apt-get install ocrmypdf
and macOS users with Homebrew may simply
.. code-block:: 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:
.. code-block:: 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 back
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:
.. code-block:: bash
ocrmypdf --help
Our `documentation is served on Read the Docs <https://ocrmypdf.readthedocs.io/en/latest/index.html>`_.
If you detect an issue, please:
- Check whether your issue is already known
- If no problem report exists on github, please create one here:
https://github.com/jbarlow83/OCRmyPDF/issues
- Describe your problem thoroughly
- Append the console output of the script when running the debug mode
(``-v 1`` option)
- If possible provide your input PDF file as well as the content of the
temporary folder (using a file sharing service like Dropbox)
Requirements
------------
Runs on CPython 3.6, and requires external program installations of Ghostscript, Tesseract OCR, QPDF, and Leptonica. ocrmypdf is pure Python, but uses CFFI to portably generate library bindings.
Python 3.5 is also supported.
Press & Media
-------------
- `c't 1-2014, page 59 <http://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 <http://heise.de/-2356670>`_
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 licensed 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.
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#! /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}" "$@"
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#! /bin/bash
set -x
set -e
# use RAM disk if possible
if [ "$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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check-manifest >= 0.35
twine >= 1.8.1
coverage >= 4.4
GitPython == 2.1.3
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Advanced features
=================
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 ``--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.
Time and image size limits
""""""""""""""""""""""""""
By default, OCRmyPDF permits tesseract to run for only 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.
.. envvar:: TESSDATA_PREFIX
A Tesseract environment variable that overrides the path to Tesseract's data files.
For example, if you are testing tesseract 4.00 and don't wish to use an existing tesseract 3.04 installation, you can launch OCRmyPDF as follows:
.. code-block:: bash
env \
PATH=/home/user/src/tesseract4/api:$PATH \
TESSDATA_PREFIX=/home/user/src/tesseract4 \
ocrmypdf --tesseract-oem 2 input.pdf output.pdf
In this example ``TESSDATA_PREFIX`` directs Tesseract 4.0 to use LSTM training data. ``--tesseract-oem 1`` requests tesseract 4.0's new LSTM engine. (Tesseract 4.0 only.)
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 three PDF renderers: ``sandwich``, ``hocr``, ``tesseract``. The renderer may be selected using ``--pdf-renderer``. The default is ``auto`` which lets OCRmyPDF select the renderer to use. Currently, ``auto`` selects ``sandwich`` for Tesseract 3.05.01 or newer, or ``hocr`` for older versions of Tesseract.
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.
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.
This renderer requires Tesseract 3.05.01 or newer.
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.
This works in all versions of Tesseract.
The ``tesseract`` renderer
""""""""""""""""""""""""""
The ``tesseract`` renderer creates a PDF with the image and text layers precomposed, meaning that it always transcodes, loses image quality and rasterizes any vector objects. It does a better job on non-Latin text and document structure than ``hocr``.
If a PDF created with this renderer using Tesseract versions older than 3.05.00 is then passed through Ghostscript's pdfwrite feature, the OCR text *may* be corrupted. The ``--output-type=pdfa`` argument will produce a warning in this situation.
*This renderer is deprecated and will be removed whenever support for older versions of Tesseract is dropped.*
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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 automaticaly repairs PDFs before parsing and gathering information from them. If you are already repairing PDFs with ``qpdf`` prior to attempting OCR, or you can use ``--skip-repair`` to skip this step. It may improve performance for large files, since repairing PDFs is single-threaded.
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 '{}' '{}' \;
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 '{}' '{}'
Sample script
"""""""""""""
This user contributed script also provides an example of batch processing.
.. code-block:: python
#!/usr/bin/env python3
# Walk through directory tree, replacing all files with OCR'd version
# Contributed by DeliciousPickle@github
import logging
import os
import subprocess
import sys
script_dir = os.path.dirname(os.path.realpath(__file__))
print(script_dir + '/ocr-tree.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')
for dir_name, subdirs, file_list in os.walk(start_dir):
logging.info('\n')
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)
cmd = ["ocrmypdf", "--deskew", filename, filename]
logging.info(cmd)
proc = subprocess.Popen(
cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
result = proc.stdout.read()
if proc.returncode == 6:
print("Skipped document because it already contained text")
elif proc.returncode == 0:
print("OCR complete")
logging.info(result)
API
"""
OCRmyPDF is currently supported as a command line interface. This means that even if you are using OCRmyPDF in a Python script, you should run it in a subprocess rather importing the ocrmypdf package.
The reason for this limitation is that the `ruffus <https://github.com/bunbun/ruffus/>`_ library that OCRmyPDF depends on is unfortunately not reentrant. OCRmyPDF works by defining each operation it does as a ruffus task that takes one or more files as input and generates one or more files as output. As such ruffus is fairly fundamental.
(If you find individual functions implemented in OCRmyPDF useful (such as ``ocrmypdf.pdfinfo``), you can use these if you wish to.)
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.
.. code-block:: python
#!/bin/env python3
# Contributed by github.com/Enantiomerie
# script needs 2 arguments
# 1. source dir with *.pdf - default is location of script
# 2. move dir where *.pdf and *_OCR.pdf are moved to
import logging
import os
import subprocess
import sys
import time
import shutil
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('\n')
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
file_noext = os.path.splitext(filename)[0]
timestamp_OCR = time.strftime("%Y-%m-%d-%H%M_OCR_")
filename_OCR = timestamp_OCR + file_noext + '.pdf'
docker_mount = dir_name + ':/home/docker'
# create string for pdf processing
# diskstation needs a user:group docker:docker. find uid:gid of your diskstation docker:docker with id docker.
# use this uid:gid in -u flag
# rw rights for docker:docker at source dir are also necessary
# the script is processed as root user via chron
cmd = ['docker', 'run', '--rm', '-v', docker_mount, '-u=1030:65538', 'jbarlow83/ocrmypdf', , '--deskew' , filename, filename_OCR]
logging.info(cmd)
proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
result = proc.stdout.read()
logging.info(result)
full_path_OCR = dir_name + '/' + filename_OCR
os.chmod(full_path_OCR, 0o666)
os.chmod(full_path, 0o666)
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')
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
---------------------
To set up a "hot folder" that will trigger OCR for every file inserted, use a program like Python `watchdog <https://pypi.python.org/pypi/watchdog>`_ (supports all major OS).
One could then configure a scanner to automatically place scanned files in a hot folder, so that they will be queued for OCR and copied to the destination.
.. code-block:: bash
pip install watchdog
watchdog installs the command line program ``watchmedo``, which can be told to run ``ocrmypdf`` on any .pdf added to the current directory (``.``) and place the result in the previously created ``out/`` folder.
.. code-block:: bash
cd hot-folder
mkdir out
watchmedo shell-command \
--patterns="*.pdf" \
--ignore-directories \
--command='ocrmypdf "${watch_src_path}" "out/${watch_src_path}" ' \
. # don't forget the final dot
For more complex behavior you can write a Python script around to use the watchdog API.
On file servers, you could configure watchmedo as a system service so it will run all the time.
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
""""""""""""
* `Watchman <https://facebook.github.io/watchman/>`_ is a more powerful alternative to ``watchmedo``.
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<?xml version="1.0" encoding="UTF-8"?>
<svg xmlns="http://www.w3.org/2000/svg" width="100%" height="100%" viewBox="0 0 915 585" xmlns:xlink="http://www.w3.org/1999/xlink">
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<linearGradient id="b" y2="445" gradientUnits="userSpaceOnUse" y1="179" gradientTransform="translate(0 -2.06)" x2="-29.7" x1="322">
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<linearGradient id="a" y2="414" gradientUnits="userSpaceOnUse" y1="159" x2="490" x1="815">
<stop stop-color="#33f" offset="0"/>
<stop stop-color="#3f3fff" stop-opacity="0" offset="1"/>
</linearGradient>
</defs>
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<g id="RasterLarge" transform="matrix(1.36 0 0 1.28 -161 -636)">
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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.mathjax',
]
# 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 = '2018, 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.
from ocrmypdf import __version__ as OCRMYPDF_VERSION
_version_parts = OCRMYPDF_VERSION.split('.')
version = '.'.join(_version_parts[0:2])
# The full version, including alpha/beta/rc tags.
release = OCRMYPDF_VERSION
# 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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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.
OCR languages other than English
""""""""""""""""""""""""""""""""
By default OCRmyPDF assumes the document is English.
.. code-block:: bash
ocrmypdf -l fre LeParisien.pdf LeParisien.pdf
ocrmypdf -l eng+fre 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>`.
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
OCR images, not PDFs
--------------------
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:
.. code-block:: bash
img2pdf my-images*.jpg | ocrmypdf - myfile.pdf
``img2pdf`` also has features to control the position of images on a page, if desired.
For convenience, OCRmyPDF can 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.
.. note::
ImageMagick ``convert`` can also convert a group of images to PDF, but in the author's experience it takes a long time, transcodes unnecessarily and gives poor results.
You can also use Tesseract 3.04+ directly to convert single page images or multi-page TIFFs to PDF:
.. code-block:: bash
tesseract my-image.jpg output-prefix pdf
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.com/skew-measurement.html>`_ algorithm as implemented in `Leptonica <http://www.leptonica.com/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.
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
Redo 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 ``--force-ocr`` argument. Normally, OCRmyPDF does not modify files that already appear to contain OCR text.
.. code-block:: bash
ocrmypdf --force-ocr input.pdf output.pdf
Note that the method above will force rasterization of all pages, potentially reducing quality or losing vector content.
To ensure quality is preserved, one could extract all of the images and rebuild the PDF for a lossless transformation. This recipe does not work when PDFs contain multiple images per page, as many do in practice. It will also lose any page rotation information.
.. code-block:: bash
pdfimages -all old-ocr.pdf prefix # extract all images
img2pdf -o temp.pdf prefix* # construct new PDF from the images
# review the new PDF to ensure it visually matches the old one
ocrmypdf --output-type pdf temp.pdf new-ocr.pdf
``--output-type pdf`` is used here to avoid using Ghostscript which will also rasterize images.
Improving OCR quality
---------------------
The `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).
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Common error messages
=====================
Page already has text
---------------------
.. code::
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 or pdftk:
- ``gs -o output.pdf -dSAFER -sDEVICE=pdfwrite input.pdf``
- ``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 master file, created by
sphinx-quickstart on Sun Sep 4 14:29:43 2016.
You can adapt this file completely to your liking, but it should at least
contain the root `toctree` directive.
OCRmyPDF documentation
======================
OCRmyPDF adds an 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
languages
.. toctree::
:caption: Usage
:maxdepth: 2
cookbook
advanced
batch
security
errors
Indices and tables
==================
* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`
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Installation
============
OCRmyPDF requires Python 3.5 (or newer) and Tesseract 3.04 (or newer).
Installing on Debian and Ubuntu 16.10 or newer
----------------------------------------------
Users of Debian 9 ("stretch") or later or Ubuntu 16.10 or later may simply
.. code-block:: bash
apt-get install ocrmypdf
Installing on macOS
-------------------
OCRmyPDF is now a standard `Homebrew <https://brew.sh>`_ formula. To install on macOS:
.. code-block:: bash
brew install ocrmypdf
.. 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.
.. _Docker-install:
Installing the Docker image
---------------------------
For many users, installing the Docker image will be easier than installing all of OCRmyPDF's dependencies. For Windows, it is the only option.
If you have `Docker <https://docs.docker.com/>`_ installed on your system, you can install
a Docker image of the latest release.
Follow the Docker installation instructions for your platform. If you can run this command
successfully, your system is ready to download and execute the image:
.. code-block:: bash
docker run hello-world
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")
Assuming you have a Docker engine running, you can download one of the three available images:
+-----------------------------+---------------------------------------------+---------------------------------------------------------------------------------+
| Image name | Download command | Notes |
+-----------------------------+---------------------------------------------+---------------------------------------------------------------------------------+
| ocrmypdf | ``docker pull jbarlow83/ocrmypdf`` | Latest ocrmypdf with Tesseract 3.04. Includes English, French, German, Spanish. |
+-----------------------------+---------------------------------------------+---------------------------------------------------------------------------------+
| ocrmypdf-polyglot | ``docker pull jbarlow83/ocrmypdf-polyglot`` | As above, with all available language packs. |
+-----------------------------+---------------------------------------------+---------------------------------------------------------------------------------+
| ocrmypdf-tess4 | ``docker pull jbarlow83/ocrmypdf-tess4`` | Latest ocrmypdf with Tesseract 4.00.00alpha and English, French, German, |
| | | Spanish, Portuguese, Chinese Simplified, Arabic and Russian (the top 8). |
+-----------------------------+---------------------------------------------+---------------------------------------------------------------------------------+
For example:
.. code-block:: bash
docker pull jbarlow83/ocrmypdf-tess4
Then tag it to give a more convenient name, just ocrmypdf:
.. code-block:: bash
docker tag jbarlow83/ocrmypdf-tess4 ocrmypdf
.. _docker-polyglot:
The alternative "polyglot" image provides `all available language packs <https://github.com/tesseract-ocr/tesseract/blob/master/doc/tesseract.1.asc#languages>`_.
You can then run ocrmypdf using the command:
.. code-block:: bash
docker run --rm ocrmypdf --help
To execute the OCRmyPDF on a local file, you must `provide a writable volume to the Docker image <https://docs.docker.com/userguide/dockervolumes/>`_, and both the input and output file must be inside the writable volume. This example command uses the current working directory as the writable volume:
.. code-block:: bash
docker run --rm -v "$(pwd):/home/docker" <other docker arguments> ocrmypdf <your arguments to ocrmypdf>
In this worked example, the current working directory contains an input file called ``test.pdf`` and the output will go to ``output.pdf``:
.. code-block:: bash
docker run --rm -v "$(pwd):/home/docker" ocrmypdf --skip-text test.pdf output.pdf
.. note:: The working directory should be a writable local volume or Docker may not have permission to access it.
Note that ``ocrmypdf`` has its own separate ``-v VERBOSITYLEVEL`` argument to control debug verbosity. All Docker arguments should before the ``ocrmypdf`` image name and all arguments to ``ocrmypdf`` should be listed after.
In some environments the permissions associated with Docker can be complex to configure. The process that executes Docker may end up not having the permissions to write the specified file system. In that case one can stream the file into and out of the Docker process and avoid all permission hassles, using ``-`` as the input and output filename:
.. code-block:: bash
docker run --rm -i ocrmypdf <other arguments to ocrmypdf> - - <input.pdf >output.pdf
For convenience, a shell alias can hide the docker command:
.. code-block:: bash
alias ocrmypdf='docker run --rm -v "$(pwd):/home/docker" ocrmypdf'
ocrmypdf --version # runs docker version
Or in the wonderful `fish shell <https://fishshell.com/>`_:
.. code-block:: fish
alias ocrmypdf 'docker run --rm -v (pwd):/home/docker ocrmypdf'
funcsave ocrmypdf
.. note::
The ocrmypdf Docker containers are designed to be used for a single OCR job. The ``docker run --rm`` argument tells Docker to delete temporary storage associated with container when it is done executing.
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:
.. code-block:: bash
brew install libpng openjpeg jbig2dec libtiff # image libraries
brew install qpdf
brew install ghostscript
brew install python3
brew install libxml2 libffi leptonica
brew install unpaper # optional
Python 3.5 and 3.6 are supported.
Install the required Tesseract OCR engine with the language packs you plan to use:
.. code-block:: bash
brew install tesseract # Option 1: for English, French, German, Spanish
.. _macos-all-languages:
.. code-block:: bash
brew install tesseract --with-all-languages # Option 2: for all language packs
Update the homebrew pip and install Pillow:
.. code-block:: bash
pip3 install --upgrade pip
pip3 install --upgrade pillow
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 Ubuntu 16.04 LTS
------------------------------
No package is currently available for Ubuntu 16.04, but you can install the dependencies manually:
.. code-block:: bash
sudo apt-get update
sudo apt-get install \
unpaper \
ghostscript \
tesseract-ocr \
qpdf \
python3-pip \
python3-cffi
If you wish install OCRmyPDF for the current user:
.. code-block:: bash
pip3 install --user ocrmypdf
Alternately, system-wide. Note that this may modify the system Python environment:
.. code-block:: bash
sudo pip3 install ocrmypdf
If you wish to install OCRmyPDF to a virtual environment to isolate the system Python, you can
follow these steps.
.. code-block:: bash
python3 -m venv venv-ocrmypdf
source venv-ocrmypdf/bin/activate
pip3 install ocrmypdf
Installing on Ubuntu 14.04 LTS
------------------------------
Installing on Ubuntu 14.04 LTS (trusty) is more difficult than some other options,
because it is older and does not provide ``pip``.
Update apt-get:
.. code-block:: bash
sudo apt-get update
Install system dependencies:
.. code-block:: bash
sudo apt-get install \
software-properties-common python-software-properties \
zlib1g-dev \
libjpeg-dev \
libffi-dev \
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.
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 \
ghostscript \
tesseract-ocr \
tesseract-ocr-eng \
libavformat56 libavcodec56 libavutil54 \
wget
Now we need to install ``pip`` and let it install ocrmypdf:
.. code-block:: bash
wget -O - -o /dev/null https://bootstrap.pypa.io/get-pip.py | python3.6
pip3.6 install ocrmypdf
The ``wget`` command will download a program and run it.
These installation instructions omit the optional dependency ``unpaper``, which is only available at version 0.4.2 in Ubuntu 14.04. The author could not find a backport of ``unpaper``, and created a .deb package to do the job of installing unpaper 6.1 (for x86 64-bit only):
.. code-block:: bash
wget -q 'https://www.dropbox.com/s/vaq0kbwi6e6au80/unpaper_6.1-1.deb?raw=1' -O unpaper_6.1-1.deb
sudo dpkg -i unpaper_6.1-1.deb
Installing on ArchLinux
-----------------------
The author is aware of an `ArchLinux package for ocrmypdf <https://aur.archlinux.org/packages/ocrmypdf/>`_. It seems like the following command might work.
.. code-block:: bash
pacman -S ocrmypdf
Installing on Windows
---------------------
Direct installation on Windows is not possible. Install the _`Docker` container as described above. Ensure that your command prompt can run the docker "hello world" container.
Running on Windows
~~~~~~~~~~~~~~~~~~
The command line syntax to run ocrmypdf from a command prompt will resemble:
.. code-block:: bat
docker run -v /c/Users/sampleuser:/home/docker ocrmypdf --skip-text test.pdf output.pdf
where /c/Users/sampleuser is a Unix representation of the Windows path C:\\Users\\sampleuser, assuming a user named "sampleuser" is running ocrmypdf on a file in their home directory, and the files "test.pdf" and "output.pdf" are in the sampleuser folder. The Windows user must have read and write permissions.
`Bash on Ubuntu on Windows <https://github.com/Microsoft/BashOnWindows>`_ should also be a viable route for running the OCRmyPDF Docker container.
Installing HEAD revision from sources
-------------------------------------
If you have ``git`` and Python 3.5 or newer installed, you can install from source. When the ``pip`` installer runs,
it will alert you if dependencies are missing.
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
On certain Linux distributions such as Ubuntu, you may need to use
run the install command as superuser:
.. code-block:: bash
sudo pip3 install [-e] git+https://github.com/jbarlow83/OCRmyPDF.git
Note that this will alter your system's Python distribution. If you prefer
to not install as superuser, you can install the package in a Python virtual environment:
.. 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 after
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.
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Introduction
============
OCRmyPDF is a Python 3 package 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 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:: bitmap_vs_svg.svg
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.
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 join text across the columns.
* Poor quality scans may produce poor quality OCR. Garbage in, garbage out.
* PDFs that use transparent layers are not currently checked in the test suite, so they may not work correctly.
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 betweem words, OCRmyPDF appends a space to each text element as a workaround. 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.
OCRmyPDF is currently not designed to be used as a Python API; it is designed to be run as a command line tool. ``import ocrmypf`` currently attempts to process the command line on ``sys.argv`` at import time so it has side effects that will interfere with its use as a package. The API it presents should not be considered stable.
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
--------------
* `Nextcloud OCR <https://github.com/janis91/ocr>`_ is a free software plugin for the Nextcloud private cloud software
* `OCRmyPDF-web <https://github.com/sseemayer/OCRmyPDF-web>`_, a micro web-frontend for OCRmyPDF (third-party, not actively maintained)
Bear in mind that OCRmyPDF is not designed to be secure against malware-bearing PDFs (see `Using OCRmyPDF online`_).
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.. _lang-packs:
Installing additional language packs
====================================
OCRmyPDF uses Tesseract for OCR, and relies on its language packs for languages other than English.
Tesseract supports `most languages <https://github.com/tesseract-ocr/tesseract/blob/master/doc/tesseract.1.asc#languages>`_.
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
# Debian/Ubuntu users
apt-get install tesseract-ocr-chi-sim # Example: Install Chinese Simplified language back
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 Docker image may use the alternative :ref:`"polyglot" container <docker-polyglot>` which includes all languages.
Adding individual language packs to a Docker image
""""""""""""""""""""""""""""""""""""""""""""""""""
If you wish to add a single language pack, you could do the following:
* Download the desired ``.trainedata`` file from the `tessdata <https://github.com/tesseract-ocr/tessdata>`_ repository. Let's use Hebrew in this example (``heb.traineddata``)
* Copy the file to ``/home/user/downloads/heb.traineddata``.
* Create a new container based on the ocrmypdf-tess4 image and jump into it with a terminal:
.. code-block:: bash
host$ docker run -v /home/user/downloads:/home/docker -it --entrypoint /bin/bash ocrmypdf-tess4
* Put the file where Tesseract expects it:
.. code-block:: bash
docker$ cp /home/docker/heb.traineddata /usr/share/tesseract-ocr/tessdata
* Note the container id, and save it as a new image (in this example, ``ocrmypdf-tess4-heb``)
.. code-block:: bash
host$ docker commit <container_id> ocrmypdf-tess4-heb
Known limitations
-----------------
As of v4.2, users of ocrmypdf working languages outside the Latin alphabet should use the following syntax:
.. code-block:: bash
ocrmypdf -l eng+gre --output-type pdf --pdf-renderer tesseract
The reasons for this are:
* The latest version of Ghostscript (9.19 as of this writing) has unfixed bugs in Unicode handling that generate invalid character maps, so Ghostscript cannot be used for PDF/A conversion
* The default "hocr" PDF renderer does not handle Asian fonts properly
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<!-- t2&#45;&gt;t4 -->
<g id="edge5" class="edge"><title>t2&#45;&gt;t4</title>
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<!-- t5 -->
<g id="node6" class="node"><title>t5</title>
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<!-- t4&#45;&gt;t5 -->
<g id="edge6" class="edge"><title>t4&#45;&gt;t5</title>
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<g id="node13" class="node"><title>t15</title>
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<!-- t4&#45;&gt;t15 -->
<g id="edge14" class="edge"><title>t4&#45;&gt;t15</title>
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<g id="node15" class="node"><title>t12</title>
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<!-- t4&#45;&gt;t12 -->
<g id="edge20" class="edge"><title>t4&#45;&gt;t12</title>
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<g id="node18" class="node"><title>t19</title>
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<!-- t4&#45;&gt;t19 -->
<g id="edge26" class="edge"><title>t4&#45;&gt;t19</title>
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<!-- t17 -->
<g id="node19" class="node"><title>t17</title>
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<!-- t4&#45;&gt;t17 -->
<g id="edge28" class="edge"><title>t4&#45;&gt;t17</title>
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<!-- t6 -->
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<!-- t5&#45;&gt;t6 -->
<g id="edge7" class="edge"><title>t5&#45;&gt;t6</title>
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<text text-anchor="middle" x="1096" y="-450.173" font-family="Times,serif" font-size="20.00">ocrmypdf.pipeline.select_visible_page_image</text>
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<!-- t5&#45;&gt;t11 -->
<g id="edge18" class="edge"><title>t5&#45;&gt;t11</title>
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<!-- t7 -->
<g id="node8" class="node"><title>t7</title>
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<!-- t6&#45;&gt;t7 -->
<g id="edge8" class="edge"><title>t6&#45;&gt;t7</title>
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<!-- t6&#45;&gt;t11 -->
<g id="edge17" class="edge"><title>t6&#45;&gt;t11</title>
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<g id="node9" class="node"><title>t8</title>
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<!-- t7&#45;&gt;t8 -->
<g id="edge9" class="edge"><title>t7&#45;&gt;t8</title>
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<!-- t7&#45;&gt;t11 -->
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<!-- t9 -->
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<!-- t8&#45;&gt;t9 -->
<g id="edge10" class="edge"><title>t8&#45;&gt;t9</title>
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<!-- t8&#45;&gt;t11 -->
<g id="edge15" class="edge"><title>t8&#45;&gt;t11</title>
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<!-- t9&#45;&gt;t10 -->
<g id="edge11" class="edge"><title>t9&#45;&gt;t10</title>
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<g id="edge13" class="edge"><title>t9&#45;&gt;t15</title>
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<!-- t13 -->
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<!-- t10&#45;&gt;t13 -->
<g id="edge12" class="edge"><title>t10&#45;&gt;t13</title>
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<!-- t10&#45;&gt;t14 -->
<g id="edge25" class="edge"><title>t10&#45;&gt;t14</title>
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<!-- t13&#45;&gt;t16 -->
<g id="edge22" class="edge"><title>t13&#45;&gt;t16</title>
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<!-- t15&#45;&gt;t16 -->
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<!-- t11&#45;&gt;t12 -->
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<!-- t11&#45;&gt;t14 -->
<g id="edge24" class="edge"><title>t11&#45;&gt;t14</title>
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<!-- t11&#45;&gt;t17 -->
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<!-- t12&#45;&gt;t16 -->
<g id="edge23" class="edge"><title>t12&#45;&gt;t16</title>
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<!-- t16&#45;&gt;t20 -->
<g id="edge33" class="edge"><title>t16&#45;&gt;t20</title>
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<!-- t16&#45;&gt;t21 -->
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Release notes
=============
OCRmyPDF uses `semantic versioning <http://semver.org/>`_ for its command line interface.
The OCRmyPDF package itself does not contain a public API, although it is fairly stable and breaking changes are usually timed with a major release. A future release will clearly define the stable public API.
v6.1.0
------
- PyMuPDF is now an optional but recommended dependency, to alleviate installation difficulties on platforms that have less access to PyMuPDF than the author anticipated. Install OCRmyPDF with ``pip install ocrmypdf[fitz]`` to use it to its full potential.
- Fix ``FileExistsError`` that could occur if OCR timed out while it was generating the output file. (#218)
- Fix table of contents/bookmarks all being redirected to page 1 when generating a PDF/A (with PyMuPDF). (Without PyMuPDF the table of contents is removed in PDF/A mode.)
- Fix "RuntimeError: invalid key in dict" when table of contents/bookmarks titles contained the character ``)``. (#239)
- Added a new argument ``--skip-repair`` to skip the initial PDF repair step if the PDF is already well-formed (because another program repaired it).
v6.0.0
------
- The software license has been changed to GPLv3. Test resource files and some individual sources may have other licenses.
- OCRmyPDF now depends on `PyMuPDF <https://pymupdf.readthedocs.io/en/latest/installation/>`_. Including PyMuPDF is the primary reason for the change to GPLv3.
- Other backward incompatible changes
+ The ``OCRMYPDF_TESSERACT``, ``OCRMYPDF_QPDF``, ``OCRMYPDF_GS`` and ``OCRMYPDF_UNPAPER`` environment variables are no longer used. Change ``PATH`` if you need to override the external programs OCRmyPDF uses.
+ The ``ocrmypdf`` package has been moved to ``src/ocrmypdf`` to avoid issues with accidental import.
+ The function ``ocrmypdf.exec.get_program`` was removed.
+ The deprecated module ``ocrmypdf.pageinfo`` was removed.
+ The ``--pdf-renderer tess4`` alias for ``sandwich`` was removed.
- Fixed an issue where OCRmyPDF failed to detect existing text on pages, depending on how the text and fonts were encoded within the PDF. (#233, #232)
- Fixed an issue that caused dramatic inflation of file sizes when ``--skip-text --output-type pdf`` was used. OCRmyPDF now removes duplicate resources such as fonts, images and other objects that it generates. (#237)
- Improved performance of the initial page splitting step. Originally this step was not believed to be expensive and ran in a process. Large file testing revealed it to be a bottleneck, so it is now parallelized. On a 700 page file with quad core machine, this change saves about 2 minutes. (#234)
- The test suite now includes a cache that can be used to speed up test runs across platforms. This also does not require computing checksums, so it's faster. (#217)
v5.7.0
------
- Fixed an issue that caused poor CPU utilization on machines more than 4 cores when running Tesseract 4. (Related to issue #217.)
- The 'hocr' renderer has been improved. The 'sandwich' and 'tesseract' renderers are still better for most use cases, but 'hocr' may be useful for people who work with the PDF.js renderer in English/ASCII languages. (#225)
+ It now formats text in a matter that is easier for certain PDF viewers to select and extract copy and paste text. This should help macOS Preview and PDF.js in particular.
+ The appearance of selected text and behavior of selecting text is improved.
+ The PDF content stream now uses relative moves, making it more compact and easier for viewers to determine when two words on the same line.
+ It can now deal with text on a skewed baseline.
+ Thanks to @cforcey for the pull request, @jbreiden for many helpful suggestions, @ctbarbour for another round of improvements, and @acaloiaro for an independent review.
v5.6.3
------
- Suppress two debug messages that were too verbose
v5.6.2
------
- Development branch accidentally tagged as release. Do not use.
v5.6.1
------
- Fix issue #219: change how the final output file is created to avoid triggering permission errors when the output is a special file such as ``/dev/null``
- Fix test suite failures due to a qpdf 8.0.0 regression and Python 3.5's handling of symlink
- The "encrypted PDF" error message was different depending on the type of PDF encryption. Now a single clear message appears for all types of PDF encryption.
- ocrmypdf is now in Homebrew. Homebrew users are advised to the version of ocrmypdf in the official homebrew-core formulas rather than the private tap.
- Some linting
v5.6.0
------
- Fix issue #216: preserve "text as curves" PDFs without rasterizing file
- Related to the above, messages about rasterizing are more consistent
- For consistency versions minor releases will now get the trailing .0 they always should have had.
v5.5
----
- Add new argument ``--max-image-mpixels``. Pillow 5.0 now raises an exception when images may be decompression bombs. This argument can be used to override the limit Pillow sets.
- Fix output page cropped when using the sandwich renderer and OCR is skipped on a rotated and image-processed page
- A warning is now issued when old versions of Ghostscript are used in cases known to cause issues with non-Latin characters
- Fix a few parameter validation checks for ``-output-type pdfa-1`` and ``pdfa-2``
v5.4.4
------
- Fix issue #181: fix final merge failure for PDFs with more pages than the system file handle limit (``ulimit -n``)
- Fix issue #200: an uncommon syntax for formatting decimal numbers in a PDF would cause qpdf to issue a warning, which ocrmypdf treated as an error. Now this the warning is relayed.
- Fix an issue where intermediate PDFs would be created at version 1.3 instead of the version of the original file. It's possible but unlikely this had side effects.
- A warning is now issued when older versions of qpdf are used since issues like #200 cause qpdf to infinite-loop
- Address issue #140: if Tesseract outputs invalid UTF-8, escape it and print its message instead of aborting with a Unicode error
- Adding previously unlisted setup requirement, pytest-runner
- Update documentation: fix an error in the example script for Synology with Docker images, improved security guidance, advised ``pip install --user``
v5.4.3
------
- If a subprocess fails to report its version when queried, exit cleanly with an error instead of throwing an exception
- Added test to confirm that the system locale is Unicode-aware and fail early if it's not
- Clarified some copyright information
- Updated pinned requirements.txt so the homebrew formula captures more recent versions
v5.4.2
------
- Fixed a regression from v5.4.1 that caused sidecar files to be created as empty files
v5.4.1
------
- Add workaround for Tesseract v4.00alpha crash when trying to obtain orientation and the latest language packs are installed
v5.4
----
- Change wording of a deprecation warning to improve clarity
- Added option to generate PDF/A-1b output if desired (``--output-type pdfa-1``); default remains PDF/A-2b generation
- Update documentation
v5.3.3
------
- Fixed missing error message that should occur when trying to force ``--pdf-renderer sandwich`` on old versions of Tesseract
- Update copyright information in test files
- Set system ``LANG`` to UTF-8 in Dockerfiles to avoid UTF-8 encoding errors
v5.3.2
------
- Fixed a broken test case related to language packs
v5.3.1
------
- Fixed wrong return code given for missing Tesseract language packs
- Fixed "brew audit" crashing on Travis when trying to auto-brew
v5.3
----
- Added ``--user-words`` and ``--user-patterns`` arguments which are forwarded to Tesseract OCR as words and regular expressions respective to use to guide OCR. Supplying a list of subject-domain words should assist Tesseract with resolving words. (#165)
- Using a non Latin-1 language with the "hocr" renderer now warns about possible OCR quality and recommends workarounds (#176)
- Output file path added to error message when that location is not writable (#175)
- Otherwise valid PDFs with leading whitespace at the beginning of the file are now accepted
v5.2
----
- When using Tesseract 3.05.01 or newer, OCRmyPDF will select the "sandwich" PDF renderer by default, unless another PDF renderer is specified with the ``--pdf-renderer`` argument. The previous behavior was to select ``--pdf-renderer=hocr``.
- The "tesseract" PDF renderer is now deprecated, since it can cause problems with Ghostscript on Tesseract 3.05.00
- The "tess4" PDF renderer has been renamed to "sandwich". "tess4" is now a deprecated alias for "sandwich".
v5.1
----
- Files with pages larger than 200" (5080 mm) in either dimension are now supported with ``--output-type=pdf`` with the page size preserved (in the PDF specification this feature is called UserUnit scaling). Due to Ghostscript limitations this is not available in conjunction with PDF/A output.
v5.0.1
------
- Fixed issue #169, exception due to failure to create sidecar text files on some versions of Tesseract 3.04, including the jbarlow83/ocrmypdf Docker image
v5.0
----
- Backward incompatible changes
+ Support for Python 3.4 dropped. Python 3.5 is now required.
+ Support for Tesseract 3.02 and 3.03 dropped. Tesseract 3.04 or newer is required. Tesseract 4.00 (alpha) is supported.
+ The OCRmyPDF.sh script was removed.
- Add a new feature, ``--sidecar``, which allows creating "sidecar" text files which contain the OCR results in plain text. These OCR text is more reliable than extracting text from PDFs. Closes #126.
- New feature: ``--pdfa-image-compression``, which allows overriding Ghostscript's lossy-or-lossless image encoding heuristic and making all images JPEG encoded or lossless encoded as desired. Fixes #163.
- Fixed issue #143, added ``--quiet`` to suppress "INFO" messages
- Fixed issue #164, a typo
- Removed the command line parameters ``-n`` and ``--just-print`` since they have not worked for some time (reported as Ubuntu bug `#1687308 <https://bugs.launchpad.net/ubuntu/+source/ocrmypdf/+bug/1687308>`_)
v4.5.6
------
- Fixed issue #156, 'NoneType' object has no attribute 'getObject' on pages with no optional /Contents record. This should resolve all issues related to pages with no /Contents record.
- Fixed issue #158, ocrmypdf now stops and terminates if Ghostscript fails on an intermediate step, as it is not possible to proceed.
- Fixed issue #160, exception thrown on certain invalid arguments instead of error message
v4.5.5
------
- Automated update of macOS homebrew tap
- Fixed issue #154, KeyError '/Contents' when searching for text on blank pages that have no /Contents record. Note: incomplete fix for this issue.
v4.5.4
------
- Fix ``--skip-big`` raising an exception if a page contains no images (#152) (thanks to @TomRaz)
- Fix an issue where pages with no images might trigger "cannot write mode P as JPEG" (#151)
v4.5.3
------
- Added a workaround for Ghostscript 9.21 and probably earlier versions would fail with the error message "VMerror -25", due to a Ghostscript bug in XMP metadata handling
- High Unicode characters (U+10000 and up) are no longer accepted for setting metadata on the command line, as Ghostscript may not handle them correctly.
- Fixed an issue where the ``tess4`` renderer would duplicate content onto output pages if tesseract failed or timed out
- Fixed ``tess4`` renderer not recognized when lossless reconstruction is possible
v4.5.2
------
- Fix issue #147. ``--pdf-renderer tess4 --clean`` will produce an oversized page containing the original image in the bottom left corner, due to loss DPI information.
- Make "using Tesseract 4.0" warning less ominous
- Set up machinery for homebrew OCRmyPDF tap
v4.5.1
------
- Fix issue #137, proportions of images with a non-square pixel aspect ratio would be distorted in output for ``--force-ocr`` and some other combinations of flags
v4.5
----
- Exotic PDFs containing "Form XObjects" are now supported (issue #134; PDF reference manual 8.10), and images they contain are taken into account when determining the resolution for rasterizing
- The Tesseract 4 Docker image no longer includes all languages, because it took so long to build something would tend to fail
- OCRmyPDF now warns about using ``--pdf-renderer tesseract`` with Tesseract 3.04 or lower due to issues with Ghostscript corrupting the OCR text in these cases
v4.4.2
------
- The Docker images (ocrmypdf, ocrmypdf-polyglot, ocrmypdf-tess4) are now based on Ubuntu 16.10 instead of Debian stretch
+ This makes supporting the Tesseract 4 image easier
+ This could be a disruptive change for any Docker users who built customized these images with their own changes, and made those changes in a way that depends on Debian and not Ubuntu
- OCRmyPDF now prevents running the Tesseract 4 renderer with Tesseract 3.04, which was permitted in v4.4 and v4.4.1 but will not work
v4.4.1
------
- To prevent a `TIFF output error <https://github.com/python-pillow/Pillow/issues/2206>`_ caused by img2pdf >= 0.2.1 and Pillow <= 3.4.2, dependencies have been tightened
- The Tesseract 4.00 simultaneous process limit was increased from 1 to 2, since it was observed that 1 lowers performance
- Documentation improvements to describe the ``--tesseract-config`` feature
- Added test cases and fixed error handling for ``--tesseract-config``
- Tweaks to setup.py to deal with issues in the v4.4 release
v4.4
----
- Tesseract 4.00 is now supported on an experimental basis.
+ A new rendering option ``--pdf-renderer tess4`` exploits Tesseract 4's new text-only output PDF mode. See the documentation on PDF Renderers for details.
+ The ``--tesseract-oem`` argument allows control over the Tesseract 4 OCR engine mode (tesseract's ``--oem``). Use ``--tesseract-oem 2`` to enforce the new LSTM mode.
+ Fixed poor performance with Tesseract 4.00 on Linux
- Fixed an issue that caused corruption of output to stdout in some cases
- Removed test for Pillow JPEG and PNG support, as the minimum supported version of Pillow now enforces this
- OCRmyPDF now tests that the intended destination file is writable before proceeding
- The test suite now requires ``pytest-helpers-namespace`` to run (but not install)
- Significant code reorganization to make OCRmyPDF re-entrant and improve performance. All changes should be backward compatible for the v4.x series.
+ However, OCRmyPDF's dependency "ruffus" is not re-entrant, so no Python API is available. Scripts should continue to use the command line interface.
v4.3.5
------
- Update documentation to confirm Python 3.6.0 compatibility. No code changes were needed, so many earlier versions are likely supported.
v4.3.4
------
- Fixed "decimal.InvalidOperation: quantize result has too many digits" for high DPI images
v4.3.3
------
- Fixed PDF/A creation with Ghostscript 9.20 properly
- Fixed an exception on inline stencil masks with a missing optional parameter
v4.3.2
------
- Fixed a PDF/A creation issue with Ghostscript 9.20 (note: this fix did not actually work)
v4.3.1
------
- Fixed an issue where pages produced by the "hocr" renderer after a Tesseract timeout would be rotated incorrectly if the input page was rotated with a /Rotate marker
- Fixed a file handle leak in LeptonicaErrorTrap that would cause a "too many open files" error for files around hundred pages of pages long when ``--deskew`` or ``--remove-background`` or other Leptonica based image processing features were in use, depending on the system value of ``ulimit -n``
- Ability to specify multiple languages for multilingual documents is now advertised in documentation
- Reduced the file sizes of some test resources
- Cleaned up debug output
- Tesseract caching in test cases is now more cautious about false cache hits and reproducing exact output, not that any problems were observed
v4.3
----
- New feature ``--remove-background`` to detect and erase the background of color and grayscale images
- Better documentation
- Fixed an issue with PDFs that draw images when the raster stack depth is zero
- ocrmypdf can now redirect its output to stdout for use in a shell pipeline
+ This does not improve performance since temporary files are still used for buffering
+ Some output validation is disabled in this mode
v4.2.5
------
- Fixed an issue (#100) with PDFs that omit the optional /BitsPerComponent parameter on images
- Removed non-free file milk.pdf
v4.2.4
------
- Fixed an error (#90) caused by PDFs that use stencil masks properly
- Fixed handling of PDFs that try to draw images or stencil masks without properly setting up the graphics state (such images are now ignored for the purposes of calculating DPI)
v4.2.3
------
- Fixed an issue with PDFs that store page rotation (/Rotate) in an indirect object
- Integrated a few fixes to simplify downstream packaging (Debian)
+ The test suite no longer assumes it is installed
+ If running Linux, skip a test that passes Unicode on the command line
- Added a test case to check explicit masks and stencil masks
- Added a test case for indirect objects and linearized PDFs
- Deprecated the OCRmyPDF.sh shell script
v4.2.2
------
- Improvements to documentation
v4.2.1
------
- Fixed an issue where PDF pages that contained stencil masks would report an incorrect DPI and cause Ghostscript to abort
- Implemented stdin streaming
v4.2
----
- ocrmypdf will now try to convert single image files to PDFs if they are provided as input (#15)
+ This is a basic convenience feature. It only supports a single image and always makes the image fill the whole page.
+ For better control over image to PDF conversion, use ``img2pdf`` (one of ocrmypdf's dependencies)
- New argument ``--output-type {pdf|pdfa}`` allows disabling Ghostscript PDF/A generation
+ ``pdfa`` is the default, consistent with past behavior
+ ``pdf`` provides a workaround for users concerned about the increase in file size from Ghostscript forcing JBIG2 images to CCITT and transcoding JPEGs
+ ``pdf`` preserves as much as it can about the original file, including problems that PDF/A conversion fixes
- PDFs containing images with "non-square" pixel aspect ratios, such as 200x100 DPI, are now handled and converted properly (fixing a bug that caused to be cropped)
- ``--force-ocr`` rasterizes pages even if they contain no images
+ supports users who want to use OCRmyPDF to reconstruct text information in PDFs with damaged Unicode maps (copy and paste text does not match displayed text)
+ supports reinterpreting PDFs where text was rendered as curves for printing, and text needs to be recovered
+ fixes issue #82
- Fixes an issue where, with certain settings, monochrome images in PDFs would be converted to 8-bit grayscale, increasing file size (#79)
- Support for Ubuntu 12.04 LTS "precise" has been dropped in favor of (roughly) Ubuntu 14.04 LTS "trusty"
+ Some Ubuntu "PPAs" (backports) are needed to make it work
- Support for some older dependencies dropped
+ Ghostscript 9.15 or later is now required (available in Ubuntu trusty with backports)
+ Tesseract 3.03 or later is now required (available in Ubuntu trusty)
- Ghostscript now runs in "safer" mode where possible
v4.1.4
------
- Bug fix: monochrome images with an ICC profile attached were incorrectly converted to full color images if lossless reconstruction was not possible due to other settings; consequence was increased file size for these images
v4.1.3
------
- More helpful error message for PDFs with version 4 security handler
- Update usage instructions for Windows/Docker users
- Fix order of operations for matrix multiplication (no effect on most users)
- Add a few leptonica wrapper functions (no effect on most users)
v4.1.2
------
- Replace IEC sRGB ICC profile with Debian's sRGB (from icc-profiles-free) which is more compatible with the MIT license
- More helpful error message for an error related to certain types of malformed PDFs
v4.1
----
- ``--rotate-pages`` now only rotates pages when reasonably confidence in the orientation. This behavior can be adjusted with the new argument ``--rotate-pages-threshold``
- Fixed problems in error checking if ``unpaper`` is uninstalled or missing at run-time
- Fixed problems with "RethrownJobError" errors during error handling that suppressed the useful error messages
v4.0.7
------
- Minor correction to Ghostscript output settings
v4.0.6
------
- Update install instructions
- Provide a sRGB profile instead of using Ghostscript's
v4.0.5
------
- Remove some verbose debug messages from v4.0.4
- Fixed temporary that wasn't being deleted
- DPI is now calculated correctly for cropped images, along with other image transformations
- Inline images are now checked during DPI calculation instead of rejecting the image
v4.0.4
------
Released with verbose debug message turned on. Do not use. Skip to v4.0.5.
v4.0.3
------
New features
^^^^^^^^^^^^
- Page orientations detected are now reported in a summary comment
Fixes
^^^^^
- Show stack trace if unexpected errors occur
- Treat "too few characters" error message from Tesseract as a reason to skip that page rather than
abort the file
- Docker: fix blank JPEG2000 issue by insisting on Ghostscript versions that have this fixed
v4.0.2
------
Fixes
^^^^^
- Fixed compatibility with Tesseract 3.04.01 release, particularly its different way of outputting
orientation information
- Improved handling of Tesseract errors and crashes
- Fixed use of chmod on Docker that broke most test cases
v4.0.1
------
Fixes
^^^^^
- Fixed a KeyError if tesseract fails to find page orientation information
v4.0
----
New features
^^^^^^^^^^^^
- Automatic page rotation (``-r``) is now available. It uses ignores any prior rotation information
on PDFs and sets rotation based on the dominant orientation of detectable text. This feature is
fairly reliable but some false positives occur especially if there is not much text to work with. (#4)
- Deskewing is now performed using Leptonica instead of unpaper. Leptonica is faster and more reliable
at image deskewing than unpaper.
Fixes
^^^^^
- Fixed an issue where lossless reconstruction could cause some pages to be appear incorrectly
if the page was rotated by the user in Acrobat after being scanned (specifically if it a /Rotate tag)
- Fixed an issue where lossless reconstruction could misalign the graphics layer with respect to
text layer if the page had been cropped such that its origin is not (0, 0) (#49)
Changes
^^^^^^^
- Logging output is now much easier to read
- ``--deskew`` is now performed by Leptonica instead of unpaper (#25)
- libffi is now required
- Some changes were made to the Docker and Travis build environments to support libffi
- ``--pdf-renderer=tesseract`` now displays a warning if the Tesseract version is less than 3.04.01,
the planned release that will include fixes to an important OCR text rendering bug in Tesseract 3.04.00.
You can also manually install ./share/sharp2.ttf on top of pdf.ttf in your Tesseract tessdata folder
to correct the problem.
v3.2.1
------
Changes
^^^^^^^
- Fixed issue #47 "convert() got and unexpected keyword argument 'dpi'" by upgrading to img2pdf 0.2
- Tweaked the Dockerfiles
v3.2
----
New features
^^^^^^^^^^^^
- Lossless reconstruction: when possible, OCRmyPDF will inject text layers without
otherwise manipulating the content and layout of a PDF page. For example, a PDF containing a mix
of vector and raster content would see the vector content preserved. Images may still be transcoded
during PDF/A conversion. (``--deskew`` and ``--clean-final`` disable this mode, necessarily.)
- New argument ``--tesseract-pagesegmode`` allows you to pass page segmentation arguments to Tesseract OCR.
This helps for two column text and other situations that confuse Tesseract.
- Added a new "polyglot" version of the Docker image, that generates Tesseract with all languages packs installed,
for the polyglots among us. It is much larger.
Changes
^^^^^^^
- JPEG transcoding quality is now 95 instead of the default 75. Bigger file sizes for less degradation.
v3.1.1
------
Changes
^^^^^^^
- Fixed bug that caused incorrect page size and DPI calculations on documents with mixed page sizes
v3.1
----
Changes
^^^^^^^
- Default output format is now PDF/A-2b instead of PDF/A-1b
- Python 3.5 and macOS El Capitan are now supported platforms - no changes were
needed to implement support
- Improved some error messages related to missing input files
- Fixed issue #20 - uppercase .PDF extension not accepted
- Fixed an issue where OCRmyPDF failed to text that certain pages contained previously OCR'ed text,
such as OCR text produced by Tesseract 3.04
- Inserts /Creator tag into PDFs so that errors can be traced back to this project
- Added new option ``--pdf-renderer=auto``, to let OCRmyPDF pick the best PDF renderer.
Currently it always chooses the 'hocrtransform' renderer but that behavior may change.
- Set up Travis CI automatic integration testing
v3.0
----
New features
^^^^^^^^^^^^
- Easier installation with a Docker container or Python's ``pip`` package manager
- Eliminated many external dependencies, so it's easier to setup
- Now installs ``ocrmypdf`` to ``/usr/local/bin`` or equivalent for system-wide
access and easier typing
- Improved command line syntax and usage help (``--help``)
- Tesseract 3.03+ PDF page rendering can be used instead for better positioning
of recognized text (``--pdf-renderer tesseract``)
- PDF metadata (title, author, keywords) are now transferred to the
output PDF
- PDF metadata can also be set from the command line (``--title``, etc.)
- Automatic repairs malformed input PDFs if possible
- Added test cases to confirm everything is working
- Added option to skip extremely large pages that take too long to OCR and are
often not OCRable (e.g. large scanned maps or diagrams); other pages are still
processed (``--skip-big``)
- Added option to kill Tesseract OCR process if it seems to be taking too long on
a page, while still processing other pages (``--tesseract-timeout``)
- Less common colorspaces (CMYK, palette) are now supported by conversion to RGB
- Multiple images on the same PDF page are now supported
Changes
^^^^^^^
- New, robust rewrite in Python 3.4+ with ruffus_ pipelines
- Now uses Ghostscript 9.14's improved color conversion model to preserve PDF colors
- OCR text is now rendered in the PDF as invisible text. Previous versions of OCRmyPDF
incorrectly rendered visible text with an image on top.
- All "tasks" in the pipeline can be executed in parallel on any
available CPUs, increasing performance
- The ``-o DPI`` argument has been phased out, in favor of ``--oversample DPI``, in
case we need ``-o OUTPUTFILE`` in the future
- Removed several dependencies, so it's easier to install. We no
longer use:
- GNU parallel_
- ImageMagick_
- Python 2.7
- Poppler
- MuPDF_ tools
- shell scripts
- Java and JHOVE_
- libxml2
- Some new external dependencies are required or optional, compared to v2.x:
- Ghostscript 9.14+
- qpdf_ 5.0.0+
- Unpaper_ 6.1 (optional)
- some automatically managed Python packages
.. _ruffus: http://www.ruffus.org.uk/index.html
.. _parallel: https://www.gnu.org/software/parallel/
.. _ImageMagick: http://www.imagemagick.org/script/index.php
.. _MuPDF: http://mupdf.com/docs/
.. _qpdf: http://qpdf.sourceforge.net/
.. _Unpaper: https://github.com/Flameeyes/unpaper
.. _JHOVE: http://jhove.sourceforge.net/
Release candidates
^^^^^^^^^^^^^^^^^^
- rc9:
- fix issue #118: report error if ghostscript iccprofiles are missing
- fixed another issue related to #111: PDF rasterized to palette file
- add support image files with a palette
- don't try to validate PDF file after an exception occurs
- rc8:
- fix issue #111: exception thrown if PDF is missing DocumentInfo dictionary
- rc7:
- fix error when installing direct from pip, "no such file 'requirements.txt'"
- rc6:
- dropped libxml2 (Python lxml) since Python 3's internal XML parser is sufficient
- set up Docker container
- fix Unicode errors if recognized text contains Unicode characters and system locale is not UTF-8
- rc5:
- dropped Java and JHOVE in favour of qpdf
- improved command line error output
- additional tests and bug fixes
- tested on Ubuntu 14.04 LTS
- rc4:
- dropped MuPDF in favour of qpdf
- fixed some installer issues and errors in installation instructions
- improve performance: run Ghostscript with multithreaded rendering
- improve performance: use multiple cores by default
- bug fix: checking for wrong exception on process timeout
- rc3: skipping version number intentionally to avoid confusion with Tesseract
- rc2: first release for public testing to test-PyPI, Github
- rc1: testing release process
Compatibility notes
-------------------
- ``./OCRmyPDF.sh`` script is still available for now
- Stacking the verbosity option like ``-vvv`` is no longer supported
- The configuration file ``config.sh`` has been removed. Instead, you can
feed a file to the arguments for common settings:
::
ocrmypdf input.pdf output.pdf @settings.txt
where ``settings.txt`` contains *one argument per line*, for example:
::
-l
deu
--author
A. Merkel
--pdf-renderer
tesseract
Fixes
^^^^^
- Handling of filenames containing spaces: fixed
Notes and known issues
^^^^^^^^^^^^^^^^^^^^^^
- Some dependencies may work with lower versions than tested, so try
overriding dependencies if they are "in the way" to see if they work.
- ``--pdf-renderer tesseract`` will output files with an incorrect page size in Tesseract 3.03,
due to a bug in Tesseract.
- PDF files containing "inline images" are not supported and won't be for the 3.0 release. Scanned
images almost never contain inline images.
v2.2-stable (2014-09-29)
------------------------
OCRmyPDF versions 1 and 2 were implemented as shell scripts. OCRmyPDF 3.0+ is a fork that gradually replaced all shell scripts with Python while maintaining the existing command line arguments. No one is maintaining old versions.
For details on older versions, see the `final version of its release notes <https://github.com/fritz-hh/OCRmyPDF/blob/7fd3dbdf42ca53a619412ce8add7532c5e81a9d1/RELEASE_NOTES.md>`_.
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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 `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.
After qpdf, OCRmyPDF examines each page using `PyPDF2 <https://github.com/mstamy2/PyPDF2>`_. This library also has no warranties or guarantees. OCRmyPDF works with qpdf 5.0 and up, but version 7.0 is recommended because of known security vulnerabilities in early versions.
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.
Using OCRmyPDF online or as a service
-------------------------------------
OCRmyPDF should not be deployed as a public-facing service, such as a website where a potential attacker could upload a PDF of their choice for OCR. OCRmyPDF is not designed to be secure against PDF malware. Another concern is PDFs specifically designed to be a denial of service attack: PDFs can contain recursive data structures that sometimes send parsers into infinite loops, and issue complex graphics drawing commands.
Setting aside these concerns, a side effect of OCRmyPDF is it may incidentally sanitize PDFs that contain 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. No guarantees.
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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# 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
ruffus == 2.6.3
Pillow == 5.0.0
reportlab == 3.4.0
PyPDF2 == 1.26.0
img2pdf == 0.2.4
cffi == 1.11.5
PyMuPDF == 1.12.4
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[bdist_wheel]
python-tag = py35
[aliases]
test=pytest
[check-manifest]
ignore =
.github
[tool:pytest]
norecursedirs = lib .pc .git output cache resources
testpaths = tests
addopts = -n auto
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#!/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
if sys.version_info < (3, 5):
print("Python 3.5 or newer is required", file=sys.stderr)
sys.exit(1)
from setuptools import setup, find_packages # nopep8
from subprocess import STDOUT, check_output, CalledProcessError # nopep8
from collections.abc import Mapping # nopep8
import re # nopep8
missing_program = '''
The program '{program}' could not be executed or was not found on your
system PATH.
'''
unknown_version = '''
OCRmyPDF requires '{program}' {need_version} or higher. Your system has
'{program}' but we cannot tell what version is installed. Contact the
package maintainer.
'''
old_version = '''
OCRmyPDF requires '{program}' {need_version} or higher. Your system appears
to have {found_version}. Please update this program.
'''
okay_its_optional = '''
This program is OPTIONAL, so installation of OCRmyPDF can proceed, but
some functionality may be missing.
'''
not_okay_its_required = '''
This program is REQUIRED for OCRmyPDF to work. Installation will abort.
'''
osx_install_advice = '''
If you have homebrew installed, try these command to install the missing
packages:
brew update
brew upgrade
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}.
'''
def get_platform():
if sys.platform.startswith('freebsd'):
return 'freebsd'
elif sys.platform.startswith('linux'):
return 'linux'
return sys.platform
def _error_trailer(program, package, optional, **kwargs):
if optional:
print(okay_its_optional.format(**locals()), file=sys.stderr)
else:
print(not_okay_its_required.format(**locals()), file=sys.stderr)
if isinstance(package, Mapping):
package = package[get_platform()]
if get_platform() == 'darwin':
print(osx_install_advice.format(**locals()), file=sys.stderr)
elif get_platform() == 'linux':
print(linux_install_advice.format(**locals()), file=sys.stderr)
def error_missing_program(
program,
package,
optional
):
print(missing_program.format(**locals()), file=sys.stderr)
_error_trailer(**locals())
def error_unknown_version(
program,
package,
optional,
need_version
):
print(unknown_version.format(**locals()), file=sys.stderr)
_error_trailer(**locals())
def error_old_version(
program,
package,
optional,
need_version,
found_version
):
print(old_version.format(**locals()), file=sys.stderr)
_error_trailer(**locals())
def check_external_program(
program,
need_version,
package,
version_check_args=['--version'],
version_scrape_regex=re.compile(r'(\d+\.\d+(?:\.\d+)?)'),
optional=False):
print('Checking for {program} >= {need_version}...'.format(
program=program, need_version=need_version))
try:
result = check_output(
[program] + version_check_args,
universal_newlines=True, stderr=STDOUT)
except (CalledProcessError, FileNotFoundError):
error_missing_program(program, package, optional)
if not optional:
sys.exit(1)
print('Continuing install without {program}'.format(program=program))
return
try:
found_version = version_scrape_regex.search(result).group(1)
except AttributeError:
error_unknown_version(program, package, optional, need_version)
sys.exit(1)
if found_version < need_version:
error_old_version(program, package, optional, need_version,
found_version)
print('Found {program} {found_version}'.format(
program=program, found_version=found_version))
command = next((arg for arg in sys.argv[1:] if not arg.startswith('-')), '')
forced = ('--force' in sys.argv)
if not forced and command.startswith('install') or \
command in ['check', 'test', 'nosetests', 'easy_install']:
check_external_program(
program='tesseract',
need_version='3.04', # using backport for Travis CI
package={'darwin': 'tesseract', 'linux': 'tesseract-ocr'}
)
check_external_program(
program='gs',
need_version='9.15', # limited by Travis CI / Ubuntu 14.04 backports
package='ghostscript'
)
check_external_program(
program='unpaper',
need_version='6.1', # latest sane version
package='unpaper',
optional=True
)
check_external_program(
program='qpdf',
need_version='5.1.1', # limited by Travis CI / Ubuntu 14.04 backports
package='qpdf',
version_check_args=['--version']
)
else:
print('Skipping external program tests because of --force')
if 'upload' in sys.argv[1:]:
print('Use twine to upload the package - setup.py upload is insecure')
sys.exit(1)
tests_require = open('test_requirements.txt').read().splitlines()
def readme():
with open('README.rst') 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(),
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 :: 3.5",
"Programming Language :: Python :: 3.6",
"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 :: POSIX",
"Operating System :: POSIX :: BSD",
"Operating System :: POSIX :: Linux",
"Topic :: Scientific/Engineering :: Image Recognition",
"Topic :: Text Processing :: Indexing",
"Topic :: Text Processing :: Linguistic",
],
python_requires='>=3.5',
setup_requires=[
'setuptools_scm', # so that version will work
'cffi>=1.9.1', # to build the leptonica module
'pytest-runner' # to enable python setup.py test
],
use_scm_version={'version_scheme': 'post-release'},
cffi_modules=[
'src/ocrmypdf/lib/compile_leptonica.py:ffibuilder'
],
install_requires=[
'ruffus==2.6.3', # pinned - ocrmypdf implements a 2.6.3 workaround
'Pillow>=4.0.0', # Pillow < 4 has BytesIO/TIFF bug w/img2pdf 0.2.3
'reportlab>=3.3.0', # oldest released version with sane image handling
'PyPDF2>=1.26', # pure Python, so track HEAD closely
'img2pdf>=0.2.3', # pure Python, so track HEAD closely
'cffi>=1.9.1', # must be a setup and install requirement
],
extras_require={
'fitz': ['PyMuPDF == 1.12.4'] # pinned to avoid problems with 1.12.4.x
},
tests_require=tests_require,
entry_points={
'console_scripts': [
'ocrmypdf = ocrmypdf.__main__:run_pipeline'
],
},
package_data={'ocrmypdf': ['data/sRGB.icc']},
include_package_data=True,
zip_safe=False)
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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
VERSION = __version__
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#!/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/>.
from tempfile import mkdtemp
from collections.abc import Sequence
from pathlib import Path
import sys
import os
import re
import warnings
import multiprocessing
import atexit
import textwrap
import logging
import argparse
import PyPDF2 as pypdf
import PIL
import ruffus.ruffus_exceptions as ruffus_exceptions
import ruffus.cmdline as cmdline
import ruffus.proxy_logger as proxy_logger
from .pipeline import JobContext, JobContextManager, \
cleanup_working_files, build_pipeline
from .pdfa import file_claims_pdfa
from .helpers import is_iterable_notstr, re_symlink, is_file_writable, \
available_cpu_count
from .exec import tesseract, qpdf, ghostscript
from .lib import fitz
from . import PROGRAM_NAME, VERSION
from .exceptions import ExitCode, ExitCodeException, MissingDependencyError, \
InputFileError, BadArgsError, OutputFileAccessError
from . import exceptions as ocrmypdf_exceptions
from ._unicodefun import verify_python3_env
warnings.simplefilter('ignore', pypdf.utils.PdfReadWarning)
# -------------
# External dependencies
MINIMUM_TESS_VERSION = '3.04'
HOCR_OK_LANGS = frozenset([
'eng', 'deu', 'spa', 'ita', 'por'
])
def complain(message):
print(*textwrap.wrap(message), file=sys.stderr)
# Hack to help debugger context find /usr/local/bin
if 'IDE_PROJECT_ROOTS' in os.environ:
os.environ['PATH'] = '/usr/local/bin:' + os.environ['PATH']
# --------
# Critical environment tests
verify_python3_env()
if tesseract.version() < MINIMUM_TESS_VERSION:
complain(
"Please install tesseract {0} or newer "
"(currently installed version is {1})".format(
MINIMUM_TESS_VERSION, tesseract.version()))
sys.exit(ExitCode.missing_dependency)
# -------------
# Parser
parser = argparse.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'],
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'."
)
# 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=int,
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', const="+", default=[], nargs='?', action="append",
help="Print more verbose messages for each additional verbose level")
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(
'--oversample', metavar='DPI', type=int, default=0,
help="Oversample images to at least the specified DPI, to improve OCR "
"results slightly")
ocrsettings = parser.add_argument_group(
"OCR options",
"Control how OCR is applied")
ocrsettings.add_argument(
'-f', '--force-ocr', action='store_true',
help="Rasterize any fonts 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="removing any existing OCR text, but otherwise preserve mixed PDF "
# "pages")
ocrsettings.add_argument(
'--skip-big', type=float, metavar='MPixels',
help="Skip OCR on pages larger than the specified amount of megapixels, "
"but include skipped pages in final output")
advanced = parser.add_argument_group(
"Advanced",
"Advanced options to control Tesseract's OCR behavior")
advanced.add_argument(
'--max-image-mpixels', action='store', type=float, 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', 'tesseract', 'hocr', 'sandwich'], default='auto',
help="Choose OCR PDF renderer - the default option is to let OCRmyPDF "
"choose."
"auto - let OCRmyPDF choose; "
"sandwich - default renderer for Tesseract 3.05.01 and newer; "
"hocr - default renderer for older versions of Tesseract; "
"tesseract - gives better results for non-Latin languages and "
"Tesseract older than 3.05.01 but has problems with some versions "
" of Ghostscript; deprecated"
)
advanced.add_argument(
'--tesseract-timeout', default=180.0, type=float, 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=float, 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(
'--skip-repair', action='store_true',
help="Normally OCRmyPDF automatically repairs PDFs using qpdf before "
"processing. If you have already run qpdf or a similar program "
"that repairs PDF errors, you can tell OCRmyPDF to skip repair with "
"this option. This may be helpful in batch processing where all "
"files are repaired prior to OCR occurs, since repair is single "
"threaded and time consuming for large files.")
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(
'-g', '--debug-rendering', action='store_true',
help="Render each page twice with debug information on second page")
debugging.add_argument(
'--flowchart', type=str,
help="Generate the pipeline execution flowchart")
def check_options_languages(options, _log):
if not options.language:
options.language = ['eng'] # Enforce English hegemony
# 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, log):
if options.pdf_renderer == 'auto':
if tesseract.has_textonly_pdf():
options.pdf_renderer = 'sandwich'
else:
options.pdf_renderer = 'hocr'
if options.pdf_renderer == 'sandwich' and not tesseract.has_textonly_pdf():
raise MissingDependencyError(
"The 'sandwich' renderer requires Tesseract 3.05.01 or newer; "
"or Tesseract 4.00 alpha newer than February 2017.")
if options.pdf_renderer == 'tesseract':
if tesseract.version() < '3.05' and \
options.output_type.startswith('pdfa'):
log.warning(
"For best results use --pdf-renderer=tesseract "
"--output-type=pdf to disable PDF/A generation via "
"Ghostscript, which is known to corrupt the OCR text of "
"some PDFs produced your version of Tesseract.")
elif tesseract.has_textonly_pdf():
log.warning(
"The argument --pdf-renderer=tesseract provides support for "
"versions of tesseract older than your version. For best "
"results omit this argument and let OCRmyPDF choose the "
"best available renderer.")
if options.debug_rendering and options.pdf_renderer != 'hocr':
log.info(
"Ignoring --debug-rendering because it requires --pdf-renderer=hocr")
lossless_reconstruction = False
if options.pdf_renderer in ('hocr', 'sandwich'):
if not any((options.deskew, options.clean_final, options.force_ocr,
options.remove_background)):
lossless_reconstruction = True
options.lossless_reconstruction = lossless_reconstruction
def check_options_sidecar(options, log):
if options.sidecar == '\0':
if options.output_file == '-':
raise argparse.ArgumentError(
None,
"--sidecar filename must be specified when output file is "
"stdout.")
options.sidecar = options.output_file + '.txt'
def check_options_preprocessing(options, log):
if any((options.clean, options.clean_final)):
from .exec import unpaper
try:
if unpaper.version() < '6.1':
raise MissingDependencyError(
"The installed 'unpaper' is not supported. "
"Install version 6.1 or newer.")
except FileNotFoundError:
raise MissingDependencyError(
"Install the 'unpaper' program to use --clean, --clean-final.")
if options.clean and \
not options.clean_final and \
options.pdf_renderer == 'tesseract':
log.info(
"Tesseract PDF renderer cannot render --clean pages without "
"also performing --clean-final, so --clean-final is assumed.")
def check_options_ocr_behavior(options, log):
if options.force_ocr and options.skip_text:
raise argparse.ArgumentError(
None,
"Error: --force-ocr and --skip-text are mutually incompatible.")
# if options.redo_ocr and (options.skip_text or options.force_ocr):
# raise argparse.ArgumentError(
# "Error: --redo-ocr and other OCR options are incompatible.")
languages = set(options.language)
if options.pdf_renderer == 'hocr' and \
not languages.issubset(HOCR_OK_LANGS):
msg = (
"The 'hocr' PDF renderer is known to cause problems with one "
"or more of the languages in your document. ")
if tesseract.has_textonly_pdf():
msg += (
"Use --pdf-renderer auto (the default) to avoid this issue.")
else:
msg += (
"Use --pdf-renderer tesseract --output-type pdf to avoid "
"this issue")
log.warning(msg)
elif ghostscript.version() < '9.20' and \
not languages.issubset(HOCR_OK_LANGS) \
and options.output_type != 'pdf':
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 += "Found Ghostscript {}".format(ghostscript.version())
log.warning(msg)
def check_options_advanced(options, log):
if options.tesseract_oem and not tesseract.v4():
log.warning(
"--tesseract-oem requires Tesseract 4.x -- argument ignored")
if options.pdf_renderer == 'sandwich' and not tesseract.has_textonly_pdf():
raise MissingDependencyError(
"--pdf-renderer sandwich requires Tesseract 4.x "
"commit 3d9fb3b or later")
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'"
)
def check_options_metadata(options, log):
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, log):
PIL.Image.MAX_IMAGE_PIXELS = int(options.max_image_mpixels * 1000000)
if PIL.Image.MAX_IMAGE_PIXELS == 0:
PIL.Image.MAX_IMAGE_PIXELS = None
def check_options(options, log):
try:
check_options_languages(options, log)
check_options_metadata(options, log)
check_options_output(options, log)
check_options_sidecar(options, log)
check_options_preprocessing(options, log)
check_options_ocr_behavior(options, log)
check_options_advanced(options, log)
check_options_pillow(options, log)
except ValueError as e:
log.error(e)
sys.exit(ExitCode.bad_args)
except argparse.ArgumentError as e:
log.error(e)
sys.exit(ExitCode.bad_args)
except MissingDependencyError as e:
log.error(e)
sys.exit(ExitCode.missing_dependency)
# ----------
# Logging
def logging_factory(logger_name, logger_args):
verbose = logger_args['verbose']
quiet = logger_args['quiet']
root_logger = logging.getLogger(logger_name)
root_logger.setLevel(logging.DEBUG)
handler = logging.StreamHandler(sys.stderr)
formatter_ = logging.Formatter("%(levelname)7s - %(message)s")
handler.setFormatter(formatter_)
if verbose:
handler.setLevel(logging.DEBUG)
elif quiet:
handler.setLevel(logging.WARNING)
else:
handler.setLevel(logging.INFO)
root_logger.addHandler(handler)
return root_logger
def cleanup_ruffus_error_message(msg):
msg = re.sub(r'\s+', r' ', msg)
msg = re.sub(r"\((.+?)\)", r'\1', msg)
msg = msg.strip()
return msg
def do_ruffus_exception(ruffus_five_tuple, options, log):
"""Replace the elaborate ruffus stack trace with a user friendly
description of the error message that occurred."""
exit_code = None
task_name, job_name, exc_name, exc_value, exc_stack = ruffus_five_tuple
job_name = job_name # unused
if exc_name == 'builtins.SystemExit':
match = re.search(r"\.(.+?)\)", exc_value)
exit_code_name = match.groups()[0]
exit_code = getattr(ExitCode, exit_code_name, 'other_error')
elif exc_name == 'ruffus.ruffus_exceptions.MissingInputFileError':
log.error(cleanup_ruffus_error_message(exc_value))
exit_code = ExitCode.input_file
elif exc_name == 'builtins.TypeError':
# Even though repair_pdf will fail, ruffus will still try
# to call split_pages with no input files, likely due to a bug
if task_name == 'split_pages':
log.error("Input file '{0}' is not a valid PDF".format(
options.input_file))
exit_code = ExitCode.input_file
elif exc_name == 'builtins.KeyboardInterrupt':
log.error("Interrupted by user")
exit_code = ExitCode.ctrl_c
elif exc_name == 'subprocess.CalledProcessError':
# It's up to the subprocess handler to report something useful
msg = "Error occurred while running this command:"
log.error(msg + '\n' + exc_value)
exit_code = ExitCode.child_process_error
elif (exc_name == 'PyPDF2.utils.PdfReadError' and \
'not been decrypted' in exc_value) or \
(exc_name == 'ocrmypdf.exceptions.EncryptedPdfError'):
log.error(textwrap.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
"""))
exit_code = ExitCode.encrypted_pdf
elif exc_name == 'ocrmypdf.exceptions.PdfMergeFailedError':
log.error(textwrap.dedent("""\
Failed to merge PDF image layer with OCR layer
Usually this happens because the input PDF file is mal-formed and
ocrmypdf cannot automatically correct the problem on its own.
Try using
ocrmypdf --pdf-renderer tesseract [..other args..]
"""))
exit_code = ExitCode.input_file
elif exc_name.startswith('ocrmypdf.exceptions.'):
base_exc_name = exc_name.replace('ocrmypdf.exceptions.', '')
exc_class = getattr(ocrmypdf_exceptions, base_exc_name)
exit_code = exc_class.exit_code
elif exc_name == 'PIL.Image.DecompressionBombError':
msg = cleanup_ruffus_error_message(exc_value)
msg += ("\nUse the --max-image-mpixels argument to set increase the "
"maximum number of megapixels to accept.")
log.error(msg)
exit_code = ExitCode.input_file
if exit_code is not None:
return exit_code
if not options.verbose:
log.error(exc_stack)
return ExitCode.other_error
def traverse_ruffus_exception(e_args, options, log):
"""Walk through a RethrownJobError and find the first exception.
Ruffus flattens exception to 5 element tuples. Because of a bug
in <= 2.6.3 it may present either the single:
(task, job, exc, value, stack)
or something like:
[[(task, job, exc, value, stack)]]
Generally cross-process exception marshalling doesn't work well
and ruffus doesn't support because BaseException has its own
implementation of __reduce__ that attempts to reconstruct the
exception based on e.__init__(e.args).
Attempting to log the exception directly marshalls it to the logger
which is probably in another process, so it's better to log only
data from the exception at this point.
The exit code will be based on this, even if multiple exceptions occurred
at the same time."""
if isinstance(e_args, Sequence) and isinstance(e_args[0], str) and \
len(e_args) == 5:
return do_ruffus_exception(e_args, options, log)
elif is_iterable_notstr(e_args):
for exc in e_args:
return traverse_ruffus_exception(exc, options, log)
def check_closed_streams(options):
"""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 == '-':
print("Trying to read from stdin but stdin seems closed",
file=sys.stderr)
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.
print(textwrap.dedent("""\
Output was set to stdout '-' but the stream attached to
stdout does not support the flush() system call. This
will fail."""), file=sys.stderr)
return False
sys.stdout = open(os.devnull, 'w')
return True
def log_page_orientations(pdfinfo, _log):
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: ' + ' '.join(orientations))
def preamble(_log):
_log.debug('ocrmypdf ' + VERSION)
_log.debug('tesseract ' + tesseract.version())
_log.debug('qpdf ' + qpdf.version())
if fitz:
_log.debug('PyMuPDF ' + fitz.version[0])
_log.debug('libmupdf ' + fitz.version[1])
else:
_log.debug('PyMuPDF not installed')
def check_environ(options, _log):
old_envvars = (
'OCRMYPDF_TESSERACT',
'OCRMYPDF_QPDF',
'OCRMYPDF_GS',
'OCRMYPDF_UNPAPER')
for k in old_envvars:
if k in os.environ:
_log.warning(textwrap.dedent("""\
OCRmyPDF no longer uses the environment variable {}.
Change PATH to select alternate programs.""".format(k)))
def check_input_file(options, _log, start_input_file):
if options.input_file == '-':
# stdin
_log.info('reading file from standard input')
with open(start_input_file, 'wb') as stream_buffer:
from shutil import copyfileobj
copyfileobj(sys.stdin.buffer, stream_buffer)
else:
try:
re_symlink(options.input_file, start_input_file, _log)
except FileNotFoundError:
_log.error("File not found - " + options.input_file)
raise InputFileError()
def check_requested_output_file(options, _log):
if options.output_file == '-':
if sys.stdout.isatty():
_log.error(textwrap.dedent("""\
Output was set to stdout '-' but it looks like stdout
is connected to a terminal. Please redirect stdout to a
file."""))
raise BadArgsError()
elif not is_file_writable(options.output_file):
_log.error(
"Output file location (" + options.output_file + ") " +
"is not a writable file.")
raise OutputFileAccessError()
def report_output_file_size(options, _log, 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 = []
if not fitz:
reasons.append("The optional dependency PyMuPDF is not installed.")
if options.force_ocr:
reasons.append("The argument --force-ocr was issued.")
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(textwrap.dedent("""\
The output file size is {:.2f}× larger than the input file.
{}
""".format(ratio, explanation)))
def run_pipeline():
options = parser.parse_args()
options.verbose_abbreviated_path = 1
if not check_closed_streams(options):
return ExitCode.bad_args
logger_args = {'verbose': options.verbose, 'quiet': options.quiet}
_log, _log_mutex = proxy_logger.make_shared_logger_and_proxy(
logging_factory, __name__, logger_args)
preamble(_log)
check_options(options, _log)
# Complain about qpdf version < 7.0.0
# Suppress the warning if in the test suite, since there are no PPAs
# for qpdf 7.0.0 for Ubuntu trusty (i.e. Travis)
if qpdf.version() < '7.0.0' and not os.environ.get('PYTEST_CURRENT_TEST'):
complain(
"You are using qpdf version {0} which has known issues including "
"security vulnerabilities with certain malformed PDFs. Consider "
"upgrading to version 7.0.0 or newer.".format(qpdf.version()))
# 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()
# Performance is improved by setting Tesseract to single threaded. In tests
# this gives better throughput than letting a smaller number of Tesseract
# jobs run multithreaded.
if tesseract.v4():
os.environ.setdefault('OMP_THREAD_LIMIT', '1')
check_environ(options, _log)
if os.environ.get('PYTEST_CURRENT_TEST'):
os.environ['_OCRMYPDF_TEST_INFILE'] = options.input_file
try:
work_folder = mkdtemp(prefix="com.github.ocrmypdf.")
options.history_file = os.path.join(
work_folder, 'ruffus_history.sqlite')
start_input_file = os.path.join(
work_folder, 'origin')
check_input_file(options, _log, start_input_file)
check_requested_output_file(options, _log)
manager = JobContextManager()
manager.register('JobContext', JobContext) # pylint: disable=no-member
manager.start()
context = manager.JobContext() # pylint: disable=no-member
context.set_options(options)
context.set_work_folder(work_folder)
build_pipeline(options, work_folder, _log, context)
atexit.register(cleanup_working_files, work_folder, options)
cmdline.run(options)
except ruffus_exceptions.RethrownJobError as e:
if options.verbose:
_log.debug(str(e)) # stringify exception so logger doesn't have to
exitcode = traverse_ruffus_exception(e.args, options, _log)
if exitcode is None:
_log.error("Unexpected ruffus exception: " + str(e))
_log.error(repr(e))
return ExitCode.other_error
return exitcode
except ExitCodeException as e:
return e.exit_code
except Exception as e:
_log.error(e)
return ExitCode.other_error
if options.flowchart:
_log.info("Flowchart saved to {}".format(options.flowchart))
elif options.output_file == '-':
_log.info("Output sent to stdout")
elif os.path.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']:
msg = 'Output file is a {} (as expected)'
_log.info(msg.format(pdfa_info['conformance']))
else:
msg = 'Output file is okay but is not PDF/A (seems to be {})'
_log.warning(msg.format(pdfa_info['conformance']))
return ExitCode.invalid_output_pdf
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, _log, start_input_file,
options.output_file)
pdfinfo = context.get_pdfinfo()
if options.verbose:
from pprint import pformat
_log.debug(pformat(pdfinfo))
log_page_orientations(pdfinfo, _log)
return ExitCode.ok
if __name__ == '__main__':
sys.exit(run_pipeline())
-108
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@@ -1,108 +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 os
import sys
import codecs
def verify_python3_env():
"""Ensures that the environment is good for unicode on Python 3."""
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.Popen(['locale', '-a'], stdout=subprocess.PIPE,
stderr=subprocess.PIPE).communicate()[0]
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)
Binary file not shown.
-81
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@@ -1,81 +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/>.
from enum import IntEnum
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
other_error = 15
ctrl_c = 130
class ExitCodeException(Exception):
exit_code = ExitCode.other_error
class BadArgsError(ExitCodeException):
exit_code = ExitCode.bad_args
class PdfMergeFailedError(ExitCodeException):
exit_code = ExitCode.input_file
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
class TesseractConfigError(ExitCodeException):
exit_code = ExitCode.invalid_config
-51
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@@ -1,51 +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 os
import re
import sys
from subprocess import run, STDOUT, PIPE, CalledProcessError
from ..exceptions import MissingDependencyError
def get_version(program, *,
version_arg='--version', regex=r'(\d+(\.\d+)*)'):
"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)
output = proc.stdout
except CalledProcessError as e:
raise MissingDependencyError(
"Could not find program '{}' on the PATH".format(
program)) from e
try:
version = re.match(regex, output.strip()).group(1)
except AttributeError as e:
raise MissingDependencyError(
("The program '{}' did not report its version. "
"Message was:\n{}").format(program, output)
)
return version
-171
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@@ -1,171 +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 tempfile import NamedTemporaryFile
from subprocess import run, PIPE, STDOUT, CalledProcessError
from shutil import copy
from functools import lru_cache
import re
import sys
from PIL import Image
from . import get_version
from ..exceptions import SubprocessOutputError, MissingDependencyError
from ..helpers import fspath
@lru_cache(maxsize=1)
def version():
return get_version('gs')
def _gs_error_reported(stream):
return re.search(r'error', stream, flags=re.IGNORECASE)
def rasterize_pdf(input_file, output_file, xres, yres, raster_device, log,
pageno=1, page_dpi=None):
"""
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
:return:
"""
res = xres, yres
int_res = round(xres), round(yres)
if not page_dpi:
page_dpi = res
with NamedTemporaryFile(delete=True) as tmp:
args_gs = [
'gs',
'-dQUIET',
'-dSAFER',
'-dBATCH',
'-dNOPAUSE',
'-sDEVICE=%s' % raster_device,
'-dFirstPage=%i' % pageno,
'-dLastPage=%i' % pageno,
'-r{0}x{1}'.format(str(int_res[0]), str(int_res[1])),
'-o', tmp.name,
fspath(input_file)
]
p = run(args_gs, stdout=PIPE, stderr=STDOUT,
universal_newlines=True)
if _gs_error_reported(p.stdout):
log.error(p.stdout)
else:
log.debug(p.stdout)
if p.returncode != 0:
log.error('Ghostscript rasterizing failed')
raise SubprocessOutputError()
# Ghostscript only accepts integers for output resolution
# if the resolution happens to be fractional, then the discrepancy
# would change the size of the output page, especially if the DPI
# is quite low. Resize the image to the expected size
tmp.seek(0)
with Image.open(tmp) as im:
expected_size = round(im.size[0] / int_res[0] * res[0]), \
round(im.size[1] / int_res[1] * res[1])
if expected_size != im.size or page_dpi != (xres, yres):
log.debug(
"Ghostscript: resize output image {} -> {}".format(
im.size, expected_size))
im.resize(expected_size).save(
fspath(output_file), dpi=page_dpi)
else:
copy(tmp.name, fspath(output_file))
def generate_pdfa(pdf_pages, output_file, compression, log,
threads=1, pdf_version='1.5', pdfa_part='2'):
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",
]
with NamedTemporaryFile(delete=True) as gs_pdf:
args_gs = [
"gs",
"-dQUIET",
"-dBATCH",
"-dNOPAUSE",
"-dCompatibilityLevel=" + str(pdf_version),
"-dNumRenderingThreads=" + str(threads),
"-sDEVICE=pdfwrite",
"-dAutoRotatePages=/None",
"-sColorConversionStrategy=/RGB",
"-sProcessColorModel=DeviceRGB"
] + compression_args + [
"-dJPEGQ=95",
"-dPDFA=" + pdfa_part,
"-dPDFACompatibilityPolicy=1",
"-sOutputFile=" + gs_pdf.name,
]
args_gs.extend(pdf_pages)
p = run(args_gs, stdout=PIPE, stderr=STDOUT,
universal_newlines=True)
if _gs_error_reported(p.stdout):
log.error(p.stdout)
elif 'overprint mode not set' in p.stdout:
# 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. "
)
else:
log.debug(p.stdout)
if p.returncode == 0:
# Ghostscript does not change return code when it fails to create
# PDF/A - check PDF/A status elsewhere
copy(gs_pdf.name, output_file)
else:
log.error('Ghostscript PDF/A rendering failed')
raise SubprocessOutputError()
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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/>.
from subprocess import CalledProcessError, STDOUT, PIPE, run
from functools import lru_cache
import sys
import os
import re
import resource
from ..exceptions import InputFileError, SubprocessOutputError, \
MissingDependencyError, EncryptedPdfError
from . import get_version
from ..helpers import re_symlink
@lru_cache(maxsize=1)
def version():
return get_version('qpdf', regex=r'qpdf version (.+)')
def check(input_file, log=None):
args_qpdf = [
'qpdf',
'--check',
input_file
]
if log is None:
import logging as log
try:
run(args_qpdf, stderr=STDOUT, stdout=PIPE, universal_newlines=True,
check=True)
except CalledProcessError as e:
if e.returncode == 2:
log.error("{0}: not a valid PDF, and could not repair it.".format(
input_file))
log.error("Details:")
log.error(e.output)
elif e.returncode == 3:
log.info("qpdf --check returned warnings:")
log.info(e.output)
else:
log.warning(e.output)
return False
return True
def _probably_encrypted(e):
"""qpdf can report a false positive "file is encrypted" message for damaged
files - suppress this"""
return e.returncode == 2 and \
'invalid password' in e.output and \
'file is damaged' not in e.output
def repair(input_file, output_file, log):
args_qpdf = [
'qpdf', input_file, output_file
]
try:
run(args_qpdf, stderr=STDOUT, stdout=PIPE, universal_newlines=True,
check=True)
except CalledProcessError as e:
if e.returncode == 3 and e.output.find("operation succeeded"):
log.debug('qpdf found and fixed errors: ' + e.output)
return
if _probably_encrypted(e):
raise EncryptedPdfError() from e
elif e.returncode == 2:
log.error("{0}: not a valid PDF, and could not repair it.".format(
input_file))
log.error("Details: " + e.output)
raise InputFileError() from e
else:
log.error("{0}: unknown error".format(
input_file))
log.error(e.output)
raise SubprocessOutputError() from e
def get_npages(input_file, log):
try:
pages = run(
['qpdf', '--show-npages', input_file],
universal_newlines=True, check=True, stdout=PIPE, stderr=STDOUT)
except CalledProcessError as e:
if e.returncode == 2 and e.output.find('No such file'):
log.error(e.output)
raise InputFileError() from e
return int(pages)
def split_pages(input_file, work_folder, npages):
"""Split multipage PDF into individual pages.
Incredibly enough, this multiple process approach is about 70 times
faster than using Ghostscript.
"""
for n in range(int(npages)):
args_qpdf = [
'qpdf', input_file,
'--pages', input_file, '{0}'.format(n + 1), '--',
os.path.join(work_folder, '{0:06d}.page.pdf'.format(n + 1))
]
run(args_qpdf, check=True)
def extract_page(input_file, output_file, pageno):
args_qpdf = [
'qpdf', input_file,
'--pages', input_file, '{0}'.format(pageno + 1), '--',
output_file
]
run(args_qpdf, check=True)
def _merge_inner(input_files, output_file, min_version=None, log=None):
"""Merge the list of input files (all filenames) into the output file.
The input files may contain one or more pages.
"""
# Single page 'merges' should still be attempted to that the same error
# checking is applied to single page case
version_arg = ['--min-version={}'.format(min_version)] \
if min_version else []
if log is None:
import logging as log
args_qpdf = [
'qpdf'
] + version_arg + [
input_files[0], '--pages'
] + input_files + ['--', output_file]
try:
run(args_qpdf, check=True, stderr=PIPE, universal_newlines=True)
except CalledProcessError as e:
if e.returncode == 3 and \
e.stderr.find("unknown token while reading object") and \
e.stderr.find("operation succeeded"):
# Only whitelist the 'unknown token' problem (decimal/string issue)
# qpdf issue #165
log.warning('qpdf found and fixed errors: ' + e.stderr)
return
raise e from e
def merge(input_files, output_file, min_version=None, log=None, max_files=None):
"""Merge the list of input files (all filenames) into the output file.
The input files may contain one or more pages.
"""
# qpdf requires that every file that contributes to the output has a file
# descriptor that remains open. That means, given our approach of one
# intermediate PDF per, we can practically hit the number of file
# descriptors.
if max_files is None or max_files < 2:
# Find out how many open file descriptors we can get away with
ulimits = resource.getrlimit(resource.RLIMIT_NOFILE)
max_open_files = ulimits[0]
max_files = max_open_files // 2 # Conservative guess
# We'll write things alongside the output file
output_dir = os.path.dirname(output_file)
import random
import string
def randstr():
return ''.join(random.sample(string.ascii_lowercase, 6))
# How many files to grab at once, merging all their contents
step_size = max_files
workqueue = input_files.copy()
counter = 1
next_workqueue = []
while len(workqueue) > 1 or len(next_workqueue) > 0:
# Take n files out of the queue
n = min(step_size, len(workqueue))
job = workqueue[0:n]
del workqueue[0:n]
log.debug('merging ' + repr(job))
# Merge them into 1 file, which will contain n^depth pages
merge_file = os.path.join(
output_dir, "merge-{:06d}-{}.pdf".format(counter, randstr()))
counter += 1
_merge_inner(job, merge_file, min_version=min_version, log=log)
# On the next
next_workqueue.append(merge_file)
log.debug('next_workqueue ' + repr(next_workqueue))
# If we're out of things to do in this queue, move on to the next
# queue. On the counter-th pass of the workqueue we can chew through
# (step_size)**N pages, so on most systems the second pass finishes
# the job.
if len(workqueue) == 0:
workqueue = next_workqueue
next_workqueue = []
re_symlink(workqueue.pop(), output_file, log)
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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 sys
import os
import re
import shutil
from functools import lru_cache
from collections import namedtuple
from textwrap import dedent
from subprocess import PIPE, CalledProcessError, \
TimeoutExpired, check_output, STDOUT
from contextlib import suppress
import PyPDF2 as pypdf
from ..exceptions import MissingDependencyError, TesseractConfigError
from ..helpers import page_number
from . import get_version
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 3.05.00' />
<meta name='ocr-capabilities' content='ocr_page ocr_carea ocr_par ocr_line ocrx_word'/>
</head>
<body>
<div class='ocr_page' id='page_1' title='image "_blank.png"; bbox 0 0 {0} {1}; ppageno 0'>
</div>
</body>
</html>
"""
@lru_cache(maxsize=1)
def version():
return get_version('tesseract', regex=r'tesseract\s(.+)')
def v4():
"Is this Tesseract v4.0?"
return version() >= '4'
@lru_cache(maxsize=1)
def has_textonly_pdf():
"""Does Tesseract have textonly_pdf capability?
Available in 3.05.01, and v4.00.00alpha since January 2017. Best to
parse the parameter list
"""
args_tess = [
'tesseract',
'--print-parameters'
]
params = ''
try:
params = check_output(
args_tess, universal_newlines=True, stderr=STDOUT)
except CalledProcessError as e:
print("Could not --print-parameters from tesseract",
file=sys.stderr)
raise MissingDependencyError from e
if 'textonly_pdf' in params:
return True
return False
def psm():
"If Tesseract 4.0, use argument --psm instead of -psm"
return '--psm' if v4() else '-psm'
@lru_cache(maxsize=1)
def languages():
args_tess = [
'tesseract',
'--list-langs'
]
try:
langs = check_output(
args_tess, universal_newlines=True, stderr=STDOUT)
except CalledProcessError as e:
msg = dedent("""Tesseract failed to report available languages.
Output from Tesseract:
-----------
""")
msg += e.output
print(msg, file=sys.stderr)
raise MissingDependencyError from e
return set(lang.strip() for lang in langs.splitlines()[1:])
def tess_base_args(langs, engine_mode):
args = [
'tesseract',
]
if langs:
args.extend(['-l', '+'.join(langs)])
if engine_mode is not None and v4():
args.extend(['--oem', str(engine_mode)])
return args
def get_orientation(input_file, language: list, engine_mode, timeout: float,
log):
args_tesseract = tess_base_args(['osd'], engine_mode) + [
psm(), '0',
input_file,
'stdout'
]
try:
stdout = check_output(
args_tesseract, stderr=STDOUT, timeout=timeout)
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 e 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))
if 'Orientation' in osd:
# Tesseract < 3.04.01
# reports "Orientation in degrees" as a counterclockwise angle
# We keep it clockwise
assert 'Rotate' not in osd
angle = -angle % 360
else:
# Tesseract == 3.04.01, hopefully also Tesseract > 3.04.01
# reports "Orientation in degrees" as a clockwise angle
assert 'Rotate' in osd
oc = OrientationConfidence(
angle=angle,
confidence=float(osd.get('Orientation confidence', 0)))
return oc
def tesseract_log_output(log, stdout, input_file):
prefix = "{0:4d}: [tesseract] ".format(page_number(input_file))
try:
text = stdout.decode()
except UnicodeDecodeError:
log.error(prefix + "command line output was not utf-8. " +
"This usually means Tesseract's language packs do not match "
"the installed version of Tesseract.")
text = stdout.decode('utf-8', 'backslashreplace')
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(prefix + "lots of diacritics - possibly poor OCR")
elif line.startswith('OSD: Weak margin'):
log.warning(prefix + "unsure about page orientation")
elif 'error' in line.lower() or 'exception' in line.lower():
log.error(prefix + line.strip())
elif 'warning' in line.lower():
log.warning(prefix + line.strip())
elif 'read_params_file' in line.lower():
log.error(prefix + line.strip())
else:
log.info(prefix + line.strip())
def page_timedout(log, input_file):
prefix = "{0:4d}: [tesseract] ".format(page_number(input_file))
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
im = Image.open(image)
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,
log):
output_hocr = next(o for o in output_files if o.endswith('.hocr'))
output_sidecar = next(o for o in output_files if 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
# Tesseract 3.04 requires the order here to be "hocr txt" and will fail
# on "txt hocr"
args_tesseract.extend([
input_file,
prefix,
'hocr',
'txt'
] + tessconfig)
try:
log.debug(args_tesseract)
stdout = check_output(
args_tesseract, stderr=STDOUT,
timeout=timeout)
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)
_generate_null_hocr(output_hocr, output_sidecar, input_file)
except CalledProcessError as e:
tesseract_log_output(log, e.output, input_file)
if b'read_params_file: parameter not found' in e.output:
raise TesseractConfigError() from e
if b'Image too large' in e.output:
_generate_null_hocr(output_hocr, output_sidecar, input_file)
return
raise e 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 not text_only:
with suppress(FileNotFoundError):
os.remove(output_pdf) # In case it was partially created
os.symlink(skip_pdf, output_pdf)
return
# For text only we must create a blank page with dimensions identical
# to the skip page because this is equivalent to a page with no text
pdf_in = pypdf.PdfFileReader(skip_pdf)
page0 = pdf_in.pages[0]
with open(output_pdf, 'wb') as out:
pdf_out = pypdf.PdfFileWriter()
w, h = page0.mediaBox.getWidth(), page0.mediaBox.getHeight()
# If skip page has a /Rotate key, replicate the rotation
rotation = int(page0.get('/Rotate', 0))
if rotation % 180 == 90:
w, h = h, w
pdf_out.addBlankPage(w, h)
pdf_out.write(out)
def generate_pdf(*, input_image, skip_pdf, output_pdf, output_text,
language: list, engine_mode, text_only: bool,
tessconfig: list, timeout: float, pagesegmode: int,
user_words, user_patterns, 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:
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:
log.debug(args_tesseract)
stdout = check_output(
args_tesseract, stderr=STDOUT,
timeout=timeout)
if os.path.exists(prefix + '.txt'):
shutil.move(prefix + '.txt', output_text)
except TimeoutExpired:
page_timedout(log, input_image)
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'read_params_file: parameter not found' in e.output:
raise TesseractConfigError() from e
if b'Image too large' in e.output:
use_skip_page(text_only, skip_pdf, output_pdf, output_text)
return
raise e 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
from subprocess import CalledProcessError, STDOUT, check_output
from tempfile import NamedTemporaryFile
import sys
import os
from functools import lru_cache
from ..exceptions import MissingDependencyError
from . import get_version
try:
from PIL import Image
except ImportError:
print("Could not find Python3 imaging library", file=sys.stderr)
raise
@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'}
im = Image.open(input_file)
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:
log.error(
"Could not convert image with type " + im.mode)
raise MissingDependencyError() from e
try:
suffix = SUFFIXES[im.mode]
except KeyError:
log.error(
"Failed to convert image to a supported format.")
raise MissingDependencyError() from e
with NamedTemporaryFile(suffix=suffix) as input_pnm, \
NamedTemporaryFile(suffix=suffix, mode="r+b") as output_pnm:
im.save(input_pnm, format='PPM')
im.close()
os.unlink(output_pnm.name)
args_unpaper.extend([input_pnm.name, output_pnm.name])
try:
stdout = check_output(
args_unpaper, close_fds=True,
universal_newlines=True, stderr=STDOUT,
)
except CalledProcessError as e:
log.debug(e.output)
raise e from e
else:
log.debug(stdout)
# unpaper sets dpi to 72
Image.open(output_pnm.name).save(output_file, dpi=(dpi, dpi))
def deskew(input_file, output_file, dpi, log):
run(input_file, output_file, dpi, log, [
'--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-noisefilter', # don't remove salt and pepper noise
'--no-blurfilter' # don't remove blurry objects/debris
])
def clean(input_file, output_file, dpi, log):
run(input_file, output_file, dpi, log, [
'--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
])
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@@ -1,169 +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/>.
from functools import partial
from collections.abc import Iterable
from contextlib import suppress, contextmanager
from pathlib import Path
import sys
import os
import multiprocessing
def re_symlink(input_file, soft_link_name, log=None):
"""
Helper function: relinks soft symbolic link if necessary
"""
if log is None:
prdebug = partial(print, file=sys.stderr)
else:
prdebug = log.debug
# Guard against soft linking to oneself
if input_file == soft_link_name:
prdebug("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(
"%s exists and is not a link" % soft_link_name)
try:
os.unlink(soft_link_name)
except OSError:
prdebug("Can't unlink %s" % (soft_link_name))
if not os.path.exists(input_file):
raise FileNotFoundError(
"trying to create a broken symlink to %s" % input_file)
prdebug("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 page_number(input_file):
"Get one-based page number implied by filename (000002.pdf -> 2)"
return int(os.path.basename(input_file)[0:6])
def available_cpu_count():
try:
return multiprocessing.cpu_count()
except NotImplementedError:
pass
try:
import psutil
return psutil.cpu_count()
except (ImportError, AttributeError):
pass
complain(
"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.
"""
p = Path(test_file)
if p.is_symlink():
# Python 3.5 does not accept parameters for Path.resolve() and behaves
# as if strict=True (throws an exception on failure). Python 3.6
# defaults to strict=False. This implements strict=False like behavior
# for Python 3.5.
if sys.version_info[0:2] <= (3, 5):
p = Path(os.path.realpath(str(p)))
else:
p = p.resolve(strict=False)
# p.is_file() throws an exception in some cases
if p.exists() and p.is_file():
return os.access(
str(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
if sys.version_info[0:2] <= (3, 5):
def universal_open(p, *args, **kwargs):
"Work around Python 3.5's inability to open(pathlib.Path())"
try:
return p.open(*args, **kwargs)
except AttributeError:
return open(p, *args, **kwargs)
def fspath(path):
import pathlib
'''https://www.python.org/dev/peps/pep-0519/#os'''
if isinstance(path, (str, bytes)):
return path
# Work from the object's type to match method resolution of other magic
# methods.
path_type = type(path)
try:
path = path_type.__fspath__(path)
except AttributeError:
# Added for Python 3.5 support.
if isinstance(path, pathlib.Path):
return str(path)
elif hasattr(path_type, '__fspath__'):
raise
else:
if isinstance(path, (str, bytes)):
return path
else:
raise TypeError("expected __fspath__() to return str or bytes, "
"not " + type(path).__name__)
raise TypeError(
"expected str, bytes, pathlib.Path or os.PathLike object, not "
+ path_type.__name__)
else:
universal_open = open
fspath = os.fspath
-347
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@@ -1,347 +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.
from reportlab.pdfgen.canvas import Canvas
from reportlab.lib.units import inch
from xml.etree import ElementTree
from PIL import Image
from collections import namedtuple
from math import atan, sin, cos
import re
import argparse
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):
"""
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:
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):
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:
# 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:
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)
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)
-584
View File
@@ -1,584 +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 sys
import os
import logging
from tempfile import TemporaryFile
from ctypes.util import find_library
from .lib._leptonica import ffi
from functools import lru_cache
from enum import Enum
from .helpers import fspath
lept = ffi.dlopen(find_library('lept'))
logger = logging.getLogger(__name__)
def stderr(*objs):
"""Python 2/3 compatible print to stderr.
"""
print("leptonica.py:", *objs, file=sys.stderr)
class LeptonicaErrorTrap(object):
"""Context manager to trap errors reported by Leptonica.
Leptonica's error return codes are unreliable to the point of being
almost useless. It does, however, write errors to stderr provided that is
not disabled at its compile time. Fortunately this is done using error
macros so it is very self-consistent.
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 __enter__(self):
from io import UnsupportedOperation
self.tmpfile = TemporaryFile()
# Save the old stderr, and redirect stderr to temporary file
sys.stderr.flush()
try:
self.copy_of_stderr = os.dup(sys.stderr.fileno())
os.dup2(self.tmpfile.fileno(), sys.stderr.fileno(),
inheritable=False)
except UnsupportedOperation:
self.copy_of_stderr = None
return
def __exit__(self, exc_type, exc_value, traceback):
# Restore old stderr
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)
# Get data from tmpfile (in with block to ensure it is closed)
with self.tmpfile as tmpfile:
tmpfile.seek(0) # Cursor will be at end, so move back to beginning
leptonica_output = tmpfile.read().decode(errors='replace')
assert self.tmpfile.closed
assert not sys.stderr.closed
# If there are Python errors, let them bubble up
if exc_type:
logger.warning(leptonica_output)
return False
# 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()
raise LeptonicaError(leptonica_output)
return False
class LeptonicaError(Exception):
pass
class LeptonicaIOError(LeptonicaError):
pass
class RemoveColormap(Enum):
to_binary = 0
to_grayscale = 1
to_full_color = 2
based_on_src = 3
class Pix:
"""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.read('filename.jpg').scale((0.5, 0.5)).deskew().show()
"""
def __init__(self, pix):
self._pix = ffi.gc(pix, Pix._pix_destroy)
def __repr__(self):
if self._pix:
s = "<leptonica.Pix image size={0}x{1} depth={2} at 0x{3:x}>"
return s.format(self._pix.w, self._pix.h, self._pix.d,
int(ffi.cast("intptr_t", self._pix)))
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._pix, 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._pix, 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):
return self.__getstate__() == other.__getstate__()
@property
def width(self):
return self._pix.w
@property
def height(self):
return self._pix.h
@property
def depth(self):
return self._pix.d
@property
def size(self):
return (self._pix.w, self._pix.h)
@property
def info(self):
return {'dpi': (self._pix.xres, self._pix.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._pix.colormap:
return 'L'
else:
return 'P'
@classmethod
def read(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.
"""
filename = fspath(path)
with LeptonicaErrorTrap():
return cls(lept.pixRead(os.fsencode(filename)))
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)
"""
filename = fspath(path)
with LeptonicaErrorTrap():
lept.pixWriteImpliedFormat(
os.fsencode(filename),
self._pix, jpeg_quality, jpeg_progressive)
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._pix))
else:
raw_mode = self.mode
pix = Pix(lept.pixEndianByteSwapNew(pix._pix))
else:
raw_mode = self.mode # no endian swap needed
size = (pix._pix.w, pix._pix.h)
bytecount = pix._pix.wpl * 4 * pix._pix.h
buf = ffi.buffer(pix._pix.data, bytecount)
stride = pix._pix.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._pix, reduction_factor))
def scale(self, scale_xy):
"Returns the pix object rescaled according to the proportions given."
with LeptonicaErrorTrap():
return Pix(lept.pixScale(self._pix, scale_xy[0], scale_xy[1]))
def rotate180(self):
with LeptonicaErrorTrap():
return Pix(lept.pixRotate180(ffi.NULL, self._pix))
def rotate_orth(self, quads):
"Orthographic rotation, quads: 0-3, number of clockwise rotations"
with LeptonicaErrorTrap():
return Pix(lept.pixRotateOrth(self._pix, 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._pix, 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._pix)
if gray_pix:
return Pix(gray_pix)
return None
def remove_colormap(self, removal_type):
"""Remove a palette
removal_type - RemovalColormap()
"""
with LeptonicaErrorTrap():
return Pix(lept.pixRemoveColormap(self._pix, removal_type))
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 **')
result = lept.pixOtsuAdaptiveThreshold(
self._pix,
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
if mask is None:
mask = ffi.NULL
if isinstance(mask, Pix):
mask = mask._pix
thresh_pix = lept.pixOtsuThreshOnBackgroundNorm(
self._pix,
mask,
sx, sy,
thresh, mincount, bgval,
smoothx, smoothy,
scorefract,
ffi.NULL
)
if thresh_pix == ffi.NULL:
return None
return Pix(thresh_pix)
def crop_to_foreground(
self, threshold=128, mindist=70, erasedist=30, pagenum=0,
showmorph=0, display=0, pdfdir=ffi.NULL):
with LeptonicaErrorTrap():
cropbox = Box(lept.pixFindPageForeground(
self._pix,
threshold,
mindist,
erasedist,
pagenum,
showmorph,
display,
pdfdir))
print(repr(cropbox))
cropped_pix = lept.pixClipRectangle(
self._pix,
cropbox._box,
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._pix,
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._pix,
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)):
with LeptonicaErrorTrap():
return Pix(lept.pixBackgroundNorm(
self._pix,
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 trusty has 1.70. Ubuntu PPA
# ppa:rebuntu16/avidemux+unofficial has "leptonlib" 1.73.
pix1_count = ffi.new('l_int32 *')
pix2_count = ffi.new('l_int32 *')
pixn_count = ffi.new('l_int32 *')
tab8 = Pix.make_pixel_sum_tab8()
lept.pixCountPixels(pix1._pix, pix1_count, tab8)
lept.pixCountPixels(pix2._pix, pix2_count, tab8)
pixn = Pix(lept.pixAnd(ffi.NULL, pix1._pix, pix2._pix))
lept.pixCountPixels(pixn._pix, pixn_count, tab8)
# Python converts these int32s to larger units as needed
# to avoid overflow. Overflow happens easily here.
correlation = (
(pixn_count[0] * pixn_count[0]) /
(pix1_count[0] * pix2_count[0])
)
return correlation
else:
correlation = ffi.new('float *', 0.0)
result = lept.pixCorrelationBinary(pix1._pix, pix2._pix,
correlation)
if result != 0:
raise LeptonicaError("Correlation failed")
return correlation[0]
@staticmethod
def _pix_destroy(pix):
p_pix = ffi.new('PIX **', pix)
lept.pixDestroy(p_pix)
# print('pix destroy ' + repr(pix))
class Box:
"""Wrapper around Leptonica's BOX objects.
See class Pix for notes about reference counting.
"""
def __init__(self, box):
self._box = ffi.gc(box, Box._box_destroy)
def __repr__(self):
if self._box:
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._box.x
@property
def y(self):
return self._box.y
@property
def w(self):
return self._box.w
@property
def h(self):
return self._box.h
@staticmethod
def _box_destroy(box):
p_box = ffi.new('BOX **', box)
lept.boxDestroy(p_box)
@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.read(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.read(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)
-23
View File
@@ -1,23 +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"""
try:
import fitz
except ImportError:
fitz = None
-10
View File
@@ -1,10 +0,0 @@
# auto-generated file
import _cffi_backend
ffi = _cffi_backend.FFI('ocrmypdf.lib._leptonica',
_version = 0x2601,
_types = b'\x00\x00\x0F\x0D\x00\x00\xBB\x03\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\xBE\x03\x00\x00\x00\x0F\x00\x00\x01\x0D\x00\x00\x01\x11\x00\x00\x00\x0F\x00\x00\x01\x0D\x00\x00\x01\x11\x00\x00\xBA\x03\x00\x00\x0F\x03\x00\x00\x00\x0F\x00\x00\x01\x0D\x00\x00\x01\x11\x00\x00\x01\x11\x00\x00\x00\x0F\x00\x00\x01\x0D\x00\x00\x01\x11\x00\x00\x01\x11\x00\x00\x01\x11\x00\x00\x00\x0F\x00\x00\x01\x0D\x00\x00\x01\x11\x00\x00\x01\x11\x00\x00\x01\x11\x00\x00\x0D\x01\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x00\x0F\x00\x00\x01\x0D\x00\x00\x01\x11\x00\x00\x01\x11\x00\x00\x01\x11\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x00\x0F\x00\x00\x01\x0D\x00\x00\x01\x11\x00\x00\x01\x11\x00\x00\x0D\x01\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x00\x0F\x00\x00\x01\x0D\x00\x00\x01\x11\x00\x00\x01\x11\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x00\x0F\x00\x00\x01\x0D\x00\x00\x01\x11\x00\x00\x01\x11\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x0D\x01\x00\x00\x02\x03\x00\x00\x00\x0F\x00\x00\x01\x0D\x00\x00\x01\x11\x00\x00\x0D\x01\x00\x00\x0D\x01\x00\x00\x00\x0F\x00\x00\x01\x0D\x00\x00\x01\x11\x00\x00\x07\x01\x00\x00\x00\x0F\x00\x00\x01\x0D\x00\x00\x01\x11\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x00\x0F\x00\x00\x01\x0D\x00\x00\x01\x11\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x00\x0F\x00\x00\x01\x0D\x00\x00\x08\x11\x00\x00\x00\x0F\x00\x00\x01\x0D\x00\x00\xC7\x03\x00\x00\x1C\x01\x00\x00\x00\x0F\x00\x00\xBD\x0D\x00\x00\x00\x0F\x00\x00\x49\x0D\x00\x00\x00\x0F\x00\x00\x02\x0D\x00\x00\x01\x11\x00\x00\x01\x11\x00\x00\x1F\x03\x00\x00\x00\x0F\x00\x00\x02\x0D\x00\x00\x01\x11\x00\x00\x01\x11\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x6E\x11\x00\x00\x6E\x11\x00\x00\x6E\x11\x00\x00\x00\x0F\x00\x00\x02\x0D\x00\x00\x01\x11\x00\x00\x6E\x11\x00\x00\x6E\x11\x00\x00\x00\x0F\x00\x00\x02\x0D\x00\x00\x01\x11\x00\x00\x49\x11\x00\x00\x49\x11\x00\x00\x00\x0F\x00\x00\x02\x0D\x00\x00\x01\x11\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x0D\x01\x00\x00\x07\x01\x00\x00\x49\x11\x00\x00\x00\x0F\x00\x00\x02\x0D\x00\x00\x01\x11\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x6E\x11\x00\x00\x6E\x11\x00\x00\x00\x0F\x00\x00\x02\x0D\x00\x00\x01\x11\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x0D\x01\x00\x00\x01\x03\x00\x00\x9D\x11\x00\x00\x00\x0F\x00\x00\x02\x0D\x00\x00\x01\x11\x00\x00\xC6\x03\x00\x00\x65\x03\x00\x00\x00\x0F\x00\x00\x02\x0D\x00\x00\x08\x11\x00\x00\x01\x11\x00\x00\x07\x01\x00\x00\x07\x01\x00\x00\x00\x0F\x00\x00\x02\x0D\x00\x00\xC4\x03\x00\x00\xA3\x11\x00\x00\x01\x11\x00\x00\x0D\x01\x00\x00\x00\x0F\x00\x00\xCA\x0D\x00\x00\x10\x11\x00\x00\x00\x0F\x00\x00\xCA\x0D\x00\x00\x9D\x11\x00\x00\x00\x0F\x00\x00\xCA\x0D\x00\x00\xCA\x03\x00\x00\x00\x0F\x00\x00\x00\x09\x00\x00\x01\x09\x00\x00\x02\x09\x00\x00\xBE\x03\x00\x00\x02\x01\x00\x00\x0E\x01\x00\x00\x0B\x01\x00\x00\x05\x01\x00\x00\x03\x01\x00\x00\xBC\x03\x00\x00\xC5\x03\x00\x00\x04\x01\x00\x00\xC7\x03\x00\x00\x08\x01\x00\x00\x0C\x01\x00\x00\x06\x01\x00\x00\x00\x01',
_globals = (b'\x00\x00\xB1\x23boxDestroy',0,b'\x00\x00\x67\x23getLeptonicaVersion',0,b'\x00\x00\xB7\x23lept_free',0,b'\x00\x00\x69\x23makePixelSumTab8',0,b'\x00\x00\x16\x23pixAnd',0,b'\x00\x00\x23\x23pixBackgroundNorm',0,b'\x00\x00\x1B\x23pixCleanBackgroundToWhite',0,b'\x00\x00\x0D\x23pixClipRectangle',0,b'\x00\x00\x8D\x23pixColorFraction',0,b'\x00\x00\x59\x23pixColorMagnitude',0,b'\x00\x00\x0A\x23pixConvertRGBToLuminance',0,b'\x00\x00\x6B\x23pixCorrelationBinary',0,b'\x00\x00\x80\x23pixCountPixels',0,b'\x00\x00\x63\x23pixDeserializeFromMemory',0,b'\x00\x00\x50\x23pixDeskew',0,b'\x00\x00\xB4\x23pixDestroy',0,b'\x00\x00\x0A\x23pixEndianByteSwapNew',0,b'\x00\x00\x00\x23pixFindPageForeground',0,b'\x00\x00\x7B\x23pixFindSkew',0,b'\x00\x00\x2F\x23pixGammaTRC',0,b'\x00\x00\x70\x23pixGetAverageMaskedRGB',0,b'\x00\x00\x36\x23pixGlobalNormRGB',0,b'\x00\x00\x12\x23pixInvert',0,b'\x00\x00\x54\x23pixMaskOverColorPixels',0,b'\x00\x00\x85\x23pixNumSignificantGrayColors',0,b'\x00\x00\x96\x23pixOtsuAdaptiveThreshold',0,b'\x00\x00\x3E\x23pixOtsuThreshOnBackgroundNorm',0,b'\x00\x00\x60\x23pixRead',0,b'\x00\x00\x50\x23pixRemoveColormap',0,b'\x00\x00\x12\x23pixRotate180',0,b'\x00\x00\x50\x23pixRotateOrth',0,b'\x00\x00\x4B\x23pixScale',0,b'\x00\x00\xA0\x23pixSerializeToMemory',0,b'\x00\x00\xA5\x23pixWriteImpliedFormat',0,b'\x00\x00\xAB\x23pixWriteMemPng',0),
_struct_unions = ((b'\x00\x00\x00\xBA\x00\x00\x00\x02Box',b'\x00\x00\x02\x11x',b'\x00\x00\x02\x11y',b'\x00\x00\x02\x11w',b'\x00\x00\x02\x11h',b'\x00\x00\xC7\x11refcount'),(b'\x00\x00\x00\xBB\x00\x00\x00\x02Pix',b'\x00\x00\xC7\x11w',b'\x00\x00\xC7\x11h',b'\x00\x00\xC7\x11d',b'\x00\x00\xC7\x11spp',b'\x00\x00\xC7\x11wpl',b'\x00\x00\xC7\x11refcount',b'\x00\x00\x02\x11xres',b'\x00\x00\x02\x11yres',b'\x00\x00\x02\x11informat',b'\x00\x00\x02\x11special',b'\x00\x00\xBD\x11text',b'\x00\x00\xC3\x11colormap',b'\x00\x00\xC6\x11data'),(b'\x00\x00\x00\xBC\x00\x00\x00\x02PixColormap',b'\x00\x00\xB8\x11array',b'\x00\x00\x02\x11depth',b'\x00\x00\x02\x11nalloc',b'\x00\x00\x02\x11n')),
_typenames = (b'\x00\x00\x00\xBABOX',b'\x00\x00\x00\xBBPIX',b'\x00\x00\x00\xBCPIXCMAP',b'\x00\x00\x00\x1Fl_float32',b'\x00\x00\x00\xBFl_float64',b'\x00\x00\x00\xC1l_int16',b'\x00\x00\x00\x02l_int32',b'\x00\x00\x00\xC0l_int64',b'\x00\x00\x00\xC2l_int8',b'\x00\x00\x00\xC9l_uint16',b'\x00\x00\x00\xC7l_uint32',b'\x00\x00\x00\xC8l_uint64',b'\x00\x00\x00\xC5l_uint8'),
)
-239
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@@ -1,239 +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 cffi import FFI
ffibuilder = FFI()
ffibuilder.set_source("ocrmypdf.lib._leptonica", None)
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;
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;
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;
""")
ffibuilder.cdef("""
PIX * pixRead ( const char *filename );
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
pixWriteMemPng(l_uint8 **pdata,
size_t *psize,
PIX *pix,
l_float32 gamma);
void pixDestroy ( PIX **ppix );
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 * 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 *
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 pagenum,
l_int32 showmorph,
l_int32 display,
const char *pdfdir);
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);
void
boxDestroy(BOX **pbox);
void
lept_free(void *ptr);
""")
if __name__ == '__main__':
ffibuilder.compile(verbose=True)
-177
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@@ -1,177 +0,0 @@
# © 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 PDFA_def.ps file for Ghostscript >= 9.14
from string import Template
import codecs
import pkg_resources
import PyPDF2 as pypdf
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 '$' prefix.
pdfa_def_template = u"""%!
% This is derived from Ghostscript's template for creating a PDF/A document.
% This is a small PostScript program that includes some necessary information
% to create a PDF/A compliant file.
% Define entries in the document Info dictionary :
/ICCProfile ($icc_profile)
def
[$docinfo
/DOCINFO pdfmark
% Define an ICC profile :
[/_objdef {icc_PDFA} /type /stream /OBJ pdfmark
[{icc_PDFA}
<<
/N currentpagedevice /ProcessColorModel known {
currentpagedevice /ProcessColorModel get dup /DeviceGray eq
{pop 1} {
/DeviceRGB eq
{3}{4} ifelse
} ifelse
} {
(ERROR, unable to determine ProcessColorModel) == flush
} ifelse
>> /PUT pdfmark
[{icc_PDFA} ICCProfile (r) file /PUT pdfmark
% Define the output intent dictionary :
[/_objdef {OutputIntent_PDFA} /type /dict /OBJ pdfmark
[{OutputIntent_PDFA} <<
/Type /OutputIntent % Must be so (the standard requires).
/S /GTS_PDFA1 % Must be so (the standard requires).
/DestOutputProfile {icc_PDFA} % Must be so (see above).
/OutputConditionIdentifier ($icc_identifier)
>> /PUT pdfmark
[{Catalog} <</OutputIntents [ {OutputIntent_PDFA} ]>> /PUT pdfmark
"""
def encode_text_string(s: str) -> str:
'''Encode text string to hex string for use in a PDF
From PDF 32000-1:2008 a string object may be included in hexademical form
if it is enclosed in angle brackets. For general Unicode the string should
be UTF-16 (big endian) with byte order marks. Many strings including all
ASCII strings could be encoded as PdfDocEncoding literals provided
that certain Postscript sequences are escaped. But it's far simpler to
encode everything as UTF-16.
'''
# Sometimes lazy C programmers leave their NULs at the end of strings they
# insert into PDFs
# tests/resources/aspect.pdf is one example (created by ImageMagick)
s = s.replace('\x00', '')
if s == '':
return ''
utf16_bytes = s.encode('utf-16be')
ascii_hex_bytes = codecs.encode(b'\xfe\xff' + utf16_bytes, 'hex')
ascii_hex_str = ascii_hex_bytes.decode('ascii').lower()
return ascii_hex_str
def _get_pdfa_def(icc_profile, icc_identifier, pdfmark):
# Ghostscript <= 9.21 has a bug where null entries in DOCINFO might produce
# ERROR: VMerror (-25) on closing pdfwrite device.
# https://bugs.ghostscript.com/show_bug.cgi?id=697684
# Work around this by only adding keys that have a nontrivial value
docinfo_keys = ('/Title', '/Author', '/Subject', '/Creator', '/Keywords')
docinfo_line_template = ' {key} <{value}>'
def docinfo_gen():
for key in docinfo_keys:
if key in pdfmark and pdfmark[key].strip() != '':
line = docinfo_line_template.format(
key=key, value=encode_text_string(pdfmark[key]))
yield line
docinfo = '\n'.join(docinfo_gen())
t = Template(pdfa_def_template)
result = t.substitute(icc_profile=icc_profile,
icc_identifier=icc_identifier,
docinfo=docinfo)
return result
def generate_pdfa_ps(target_filename, pdfmark, icc='sRGB'):
if icc == 'sRGB':
icc_profile = SRGB_ICC_PROFILE
else:
raise NotImplementedError("Only supporting sRGB")
ps = _get_pdfa_def(icc_profile, icc, pdfmark)
# We should have encoded everything to pure ASCII by this point, and
# to be safe, only allow ASCII in PostScript
with open(target_filename, 'w', encoding='ascii') as f:
f.write(ps)
def file_claims_pdfa(filename):
"""Determines if the file claims to be PDF/A compliant
Checking if a file is a truly compliant PDF/A is a massive undertaking
that no open source tool does properly. Some commercial tools are
generally reliable (Acrobat).
This checks if the XMP metadata contains a PDF/A marker.
"""
pdf = pypdf.PdfFileReader(filename)
xmp = pdf.getXmpMetadata()
try:
pdfa_nodes = xmp.getNodesInNamespace(
aboutUri='',
namespace='http://www.aiim.org/pdfa/ns/id/')
except AttributeError:
return {'pass': False, 'output': 'pdf',
'conformance': 'No XMP metadata'}
pdfa_dict = {attr.localName: attr.value for attr in pdfa_nodes}
if not pdfa_dict:
return {'pass': False, 'output': 'pdf',
'conformance': 'No XMP metadata'}
part_conformance = pdfa_dict['part'] + pdfa_dict['conformance']
valid_part_conforms = {'1A', '1B', '2A', '2B', '2U', '3A', '3B', '3U'}
conformance = 'PDF/A-{}'.format(
part_conformance)
if part_conformance in valid_part_conforms:
pdfa_dict['pass'] = True
pdfa_dict['output'] = 'pdfa'
pdfa_dict['conformance'] = conformance
return pdfa_dict
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@@ -1,783 +0,0 @@
#!/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 subprocess import Popen, PIPE
from decimal import Decimal
from math import hypot, isclose
import re
import sys
from collections import namedtuple
from collections.abc import MutableMapping, Mapping
import warnings
from pathlib import Path
from enum import Enum
from contextlib import contextmanager
import PyPDF2 as pypdf
from .lib import fitz
from .helpers import universal_open, fspath
matrix_mult = pypdf.pdf.utils.matrixMultiply
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 _matrix_from_shorthand(shorthand):
"""Convert from PDF matrix shorthand to full matrix
PDF 1.7 spec defines a shorthand for describing the entries of a matrix
since the last column is always (0, 0, 1).
"""
a, b, c, d, e, f = map(float, shorthand)
return ((a, b, 0),
(c, d, 0),
(e, f, 1))
def _shorthand_from_matrix(matrix):
"""Convert from transformation matrix to PDF shorthand."""
a, b = matrix[0][0], matrix[0][1]
c, d = matrix[1][0], matrix[1][1]
e, f = matrix[2][0], matrix[2][1]
return tuple(map(float, (a, b, c, d, e, f)))
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',
['settings', 'shorthand', 'stack_depth'])
ContentsInfo = namedtuple('ContentsInfo',
['xobject_settings', 'inline_images', 'found_text'])
def _normalize_stack(operations):
"""Fix runs of qQ's in the stack
For some reason PyPDF2 converts runs of qqq, QQ, QQQq, etc. into single
operations. Break this silliness up and issue each stack operation
individually so we don't lose count.
"""
for operands, command in operations:
if re.match(br'Q*q+$', command): # Zero or more Q, one or more q
for char in command: # Split into individual bytes
yield ([], bytes([char])) # Yield individual bytes
else:
yield (operands, command)
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.
PyPDF2 replaces inline images with a fake "INLINE IMAGE" operator.
"""
operations = contentstream.operations
stack = []
ctm = _matrix_from_shorthand(initial_shorthand)
xobject_settings = []
inline_images = []
found_text = False
for n, op in enumerate(_normalize_stack(operations)):
operands, command = op
if command == b'q':
stack.append(ctm)
if len(stack) > 32:
raise RuntimeError(
"PDF graphics stack overflow, command %i" % n)
elif command == b'Q':
try:
ctm = stack.pop()
except IndexError:
raise RuntimeError(
"PDF graphics stack underflow, command %i" % n)
elif command == b'cm':
ctm = matrix_mult(
_matrix_from_shorthand(operands), ctm)
elif command == b'Do':
image_name = operands[0]
settings = XobjectSettings(
name=image_name, shorthand=_shorthand_from_matrix(ctm),
stack_depth=len(stack))
xobject_settings.append(settings)
elif command == b'INLINE IMAGE':
settings = operands['settings']
inline = InlineSettings(
settings=settings, shorthand=_shorthand_from_matrix(ctm),
stack_depth=len(stack))
inline_images.append(inline)
elif command in (b'Tj', b'TJ', b'"', b"'"):
found_text = True
return ContentsInfo(
xobject_settings=xobject_settings,
inline_images=inline_images,
found_text=True)
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 = name
self._shorthand = shorthand
if inline:
# Fixme does not work for inline images with non abbreviated
# fields
self._origin = 'inline'
self._width = inline.settings['/W']
self._height = inline.settings['/H']
self._bpc = inline.settings.get('/BPC', 8)
try:
self._color = FRIENDLY_COLORSPACE[inline.settings['/CS']]
except Exception:
self._color = '-'
self._comp = FRIENDLY_COMP.get(self._color, '?')
if '/F' in inline.settings:
filter_ = inline.settings['/F']
if isinstance(filter_, pypdf.generic.ArrayObject):
filter_ = filter_[0]
self._enc = FRIENDLY_ENCODING.get(filter_, 'image')
else:
self._enc = 'image'
elif pdfimage:
self._origin = 'xobject'
self._width = pdfimage['/Width']
self._height = pdfimage['/Height']
if '/BitsPerComponent' in pdfimage:
self._bpc = pdfimage['/BitsPerComponent']
else:
self._bpc = 8
# Fixme: this is incorrectly treats explicit masks as stencil masks,
# but good enough for now. Explicit masks have /ImageMask true but are
# never called for in content stream, instead are drawn as a /Mask on
# other images. For our purposes finding out the details of /Mask
# will seldom matter.
if '/ImageMask' in pdfimage:
self._type = 'stencil' if pdfimage['/ImageMask'].value \
else 'image'
else:
self._type = 'image'
if '/Filter' in pdfimage:
filter_ = pdfimage['/Filter']
if isinstance(filter_, pypdf.generic.ArrayObject):
filter_ = filter_[0]
self._enc = FRIENDLY_ENCODING.get(filter_, 'image')
else:
self._enc = 'image'
if '/ColorSpace' in pdfimage:
cs = pdfimage['/ColorSpace']
if isinstance(cs, pypdf.generic.ArrayObject):
cs = cs[0]
self._color = FRIENDLY_COLORSPACE.get(cs, '-')
else:
self._color = FRIENDLY_COLORSPACE[Colorspace.jpeg2000] \
if self._enc == Encoding.jpeg2000 else '?'
self._comp = FRIENDLY_COMP.get(self._color, '?')
# Bit of a hack... infer grayscale if component count is uncertain
# but encoding must be monochrome. This happens if a monochrome image
# has an ICC profile attached. Better solution would be to examine
# the ICC profile.
if self._comp == '?' and self._enc in (Encoding.ccitt, '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 __getitem__(self, item):
warnings.warn("ImageInfo.__getitem__", DeprecationWarning)
if item in ('name', 'width', 'height', 'bpc', 'color', 'comp', 'enc'):
return getattr(self, item)
elif item == 'dpi_w':
return Decimal(self.xres).quantize(self.DPI_PREC)
elif item == 'dpi_h':
return Decimal(self.yres).quantize(self.DPI_PREC)
elif item == 'dpi':
return Decimal(self.xres * self.yres).sqrt().quantize(
self.DPI_PREC)
else:
raise KeyError(item)
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
for xobj in resources['/XObject']:
candidate = resources['/XObject'][xobj]
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):
# For each image that is drawn on this, check if we drawing the
# current image - yes this is O(n^2), but n == 1 almost always
for draw in contentsinfo.xobject_settings:
if draw.name != xobj:
continue
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
for xobj in resources['/XObject']:
candidate = resources['/XObject'][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 _find_images(
pdf=pdf, container=form_xobject, shorthand=ctm_shorthand)
def _find_images(*, 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 drawing commands.
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:
# For a /Page the content stream is attached to the page's /Contents
page = container
contentstream = pypdf.pdf.ContentStream(page.getContents(), pdf)
initial_shorthand = shorthand or UNIT_SQUARE
elif container.get('/Type') == '/XObject' and \
container['/Subtype'] == '/Form':
# For a Form XObject that content stream is attached to the XObject
contentstream = pypdf.pdf.ContentStream(container, pdf)
# Set the CTM to the state it was when the "Do" operator was
# encountered that is drawing this instance of the Form XObject
ctm = _matrix_from_shorthand(shorthand or UNIT_SQUARE)
# A Form XObject may provide its own matrix to map form space into
# user space. Get this if one exists
form_matrix = _matrix_from_shorthand(
container.get('/Matrix', UNIT_SQUARE))
# Concatenate form matrix with CTM to ensure CTM is correct for
# drawing this instance of the XObject
ctm = matrix_mult(form_matrix, ctm)
initial_shorthand = _shorthand_from_matrix(ctm)
else:
return
contentsinfo = _interpret_contents(contentstream, initial_shorthand)
yield from _find_inline_images(contentsinfo)
yield from _find_regular_images(container, contentsinfo)
yield from _find_form_xobject_images(pdf, container, contentsinfo)
def _naive_find_text(*, pdf, page):
if not(page.get('/Type') == '/Page' and '/Contents' in page):
# Not a page, or has no /Contents => no text
return False
# First we check the main content stream
contentstream = pypdf.pdf.ContentStream(page.getContents(), pdf)
contentsinfo = _interpret_contents(contentstream, UNIT_SQUARE)
if contentsinfo.found_text:
return True
# Then see if there is a Form XObject with with a content stream
# that might have text. For full completeness we should recursively
# search nested Form XObjects, as we do with images. But that is
# rare.
if '/Resources' in page:
resources = page['/Resources']
if '/XObject' in resources:
for xobj in resources['/XObject']:
candidate = resources['/XObject'][xobj]
if candidate['/Subtype'] != '/Form':
continue
form_xobject = candidate
# Content stream is attached to Form XObject dictionary
contentstream = pypdf.pdf.ContentStream(form_xobject, pdf)
sub_contentsinfo = _interpret_contents(
contentstream, UNIT_SQUARE)
if sub_contentsinfo.found_text:
return True
return False
def _page_has_text(infile, pageno):
doc = fitz.Document(infile)
text = doc.getPageText(pageno)
if text.strip() != '':
return True
return False
def _pdf_get_pageinfo(pdf, pageno: int, infile):
pageinfo = {}
pageinfo['pageno'] = pageno
pageinfo['images'] = []
if isinstance(pdf, Path):
pdf = pypdf.PdfFileReader(str(pdf))
elif isinstance(pdf, str):
pdf = pypdf.PdfFileReader(pdf)
page = pdf.pages[pageno]
if fitz:
pageinfo['has_text'] = _page_has_text(str(infile), pageno)
else:
pageinfo['has_text'] = _naive_find_text(pdf=pdf, page=page)
width_pt = page.mediaBox.getWidth()
height_pt = page.mediaBox.getHeight()
userunit = page.get('/UserUnit', Decimal(1.0))
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)
pageinfo['images'] = [im for im in
_find_images(pdf=pdf, container=page,
shorthand=userunit_shorthand)]
if pageinfo['images']:
xres = max(image['dpi_w'] for image in pageinfo['images'])
yres = max(image['dpi_h'] 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):
with universal_open(infile, 'rb') as f:
pdf = pypdf.PdfFileReader(f)
return [PageInfo(pdf, n, infile) for n in range(pdf.numPages)]
class PageInfo:
def __init__(self, pdf, pageno, infile):
self._pageno = pageno
self._infile = infile
self._pageinfo = _pdf_get_pageinfo(pdf, pageno, infile)
@property
def pageno(self):
return self._pageno
@property
def has_text(self):
return self._pageinfo['has_text']
@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']
@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):
self._infile = infile
self._pages = _pdf_get_all_pageinfo(infile)
if fitz:
self._toc = fitz.Document(fspath(infile)).getToC()
else:
self._toc = []
@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 filename(self):
if not isinstance(self._infile, (str, Path)):
raise NotImplementedError("can't get filename from stream")
return self._infile
@property
def table_of_contents(self):
return self._toc
def __getitem__(self, item):
return self._pages[item]
def __len__(self):
return len(self._pages)
def __repr__(self):
return "<PdfInfo('...'), page count={}>".format(len(self))
# def __getstate__(self):
# state = {'_infile': self._infile}
# return state
#
# def __setstate__(self, state):
# self._infile = state['_infile']
# self._pages = _pdf_get_all_pageinfo(self._infile)
def main():
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('infile')
args = parser.parse_args()
info = _pdf_get_all_pageinfo(args.infile)
from pprint import pprint
pprint(info)
if __name__ == '__main__':
main()
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#! /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
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@@ -1,5 +0,0 @@
pytest >= 3.2
pytest-helpers-namespace
pytest-xdist
pytest-cov
pytest-timeout
@@ -1 +0,0 @@
Tesseract Open Source OCR Engine v4.0.0-beta.1 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.
@@ -1,3 +0,0 @@
Tesseract Open Source OCR Engine v4.0.0-beta.1 with Leptonica
Too few characters. Skipping this page
OSD: Weak margin (0.00) for 24 blob text block, but using orientation anyway: 0
@@ -1,4 +0,0 @@
This should be a perfect circle:
@@ -1,3 +0,0 @@
Tesseract Open Source OCR Engine v4.0.0-beta.1 with Leptonica
Too few characters. Skipping this page
OSD: Weak margin (0.00) for 24 blob text block, but using orientation anyway: 0
@@ -1,4 +0,0 @@
This should be a perfect circle:
@@ -1,27 +0,0 @@
<?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">
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Tesseract Open Source OCR Engine v4.0.0-beta.1 with Leptonica
Too few characters. Skipping this page
OSD: Weak margin (0.00) for 24 blob text block, but using orientation anyway: 0
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This should be a perfect circle:
@@ -1 +0,0 @@
Tesseract Open Source OCR Engine v4.0.0-beta.1 with Leptonica
@@ -1,123 +0,0 @@
The LinnSequencer
32 Track MIDI Sequence Recorder
The LinnSequencer is a state-of-the-art composition and performance tool for the professional musician. It is
extremely powerful, yet amazingly simple to learn and use. Its many remarkable features include:
¢ Operation is similar to multi-track tape recorder with PLAY, STOP, RECORD, FAST
FORWARD, REWIND, and LOCATE controls.
e Each of the 100 sequences contains 32 simultaneous, polyphonic tracks. Each track may
be assigned to one of 16 MIDI channels. Simultaneously plays up to 16 polyphonic
synthesizers!
¢ Ultra-fast 3%” disk drive stores complex songs in seconds and holds over 110,000 notes
per disk!
¢ One or all tracks may be TRANSPOSED at the touch of a key.
e Exclusive real-time ERASE function makes editing FAST.
* Exclusive REPEAT function automatically repeats any held notes at a pre-selected
rhythmic value.
¢ TIMING CORRECTION works during playback and operates without chopping notes.
¢ Optional SMPTE time code synchronization.
© Optional remote control.
Recording a Sequence
To record a sequence, simply press RECORD and PLAY,
then play your MIDI keyboard in time to the Sequencers
click track. When the sequence loops back around to bar 1,
you ll hear what you played—only all timing errors will be
corrected! (Timing correction may be adjusted or defeated).
Any additional notes played will be added into the track
— existing notes are not erased while recording!
FAST FORWARD, REWIND, and LOCATE controls
may be used at any time to quickly access any location in
your sequence for spot-recording. To overdub a new part,
select a different track and start recording—while you
record, the first track will play in perfect sync (unless you
MUTE it, or SOLO another track). In this way, up to 32
tracks may be overdubbed! All MIDI effects are recorded
including pitch bend, modulation, velocity, aftertouch,
sustain pedal, and program changes!
Editing
To erase a wrong note, simply hold ERASE and press
the note to be erased just before it plays in the sequence—
when played back, it will be gone. Notes may also be
added, erased, or changed using the SINGLE STEP func-
tion. To overdub notes at specific points within a sequence,
Additional Features
simply use LOCATE, FAST FORWARD, or REWIND to
find the desired bar number, then start recording.
The INSERT/COPY function allows you to move bars
from one location to another—in the same sequence or a
different one. For example, you might insert a copy of the
first verse between the second chorus and the bridge.
DELETE BARS operates the same way to remove
unwanted sections,
Creating a Song
One way to create a song is to record each track all the
way through (up to 999 bars). Another way is to record
each basic section (verse, chorus, etc.) in individual
sequences, then use the CREATE SONG function to “chain”
them together. CREATE SONG will then automatically
copy all the parts into a new sequence. If desired, you can
even set the last few bars to repeat infinitely, for a fadeout.
Composition Without Compromise
The technology you use should never be so complex that
it interferes with the creative process. Thats precisely why
the LinnSequencer is designed to let you compose, record
and edit while devoting your undivided attention to your
music. See your Linn dealer today for a demonstration!
* Simple, easy to learn operation—the 32 character LCD display clearly guides you through all operations. If needed, the
HELP button displays additional explanations.
* Non-destructive recording—existing notes are not erased while recording.
¢ Two FOOTSWITCH INPUTS may be assigned to remotely control many of the commonly used functions, including
ERASE, REPEAT, PLAY/STOP, or LOCATE.
¢ Iwo TRIGGER OUTPUTS may be programmed to output pulses at any selected note value.
© Will sync to standard LinnDrum or Linn 9000 sync tone.
© Utilizes ultra high-speed, 8 MHz 80186 16 bit computer internally for FAST operation.
* TEMPO may be specified in BEATS-PER-MINUTE or FRAMES-PER-BEAT at 24, 25, or 30 frames per second,
(even drop frame!)
¢ TEMPO may be entered numerically, adjustable in tenths of a Beat-Per-Minute increments, or by tapping quarter notes
on the TAP TEMPO button.
¢ TEMPO CHANGES may be programmed into a sequence, with smooth transitions if desired.
¢ Any TIME SIGNATURE may be used, and may be changed within a song.
linn
Linn Electronics, Inc.
18720 Oxnard Street, Tarzana, CA 91356
(818) 708-8131 TELEX #298949 LINN UR
@@ -1 +0,0 @@
Tesseract Open Source OCR Engine v4.0.0-beta.1 with Leptonica
@@ -1,123 +0,0 @@
The LinnSequencer
32 Track MIDI Sequence Recorder
The LinnSequencer is a state-of-the-art composition and performance tool for the professional musician. It is
extremely powerful, yet amazingly simple to learn and use. Its many remarkable features include:
¢ Operation is similar to multi-track tape recorder with PLAY, STOP, RECORD, FAST
FORWARD, REWIND, and LOCATE controls.
e Each of the 100 sequences contains 32 simultaneous, polyphonic tracks. Each track may
be assigned to one of 16 MIDI channels. Simultaneously plays up to 16 polyphonic
synthesizers!
¢ Ultra-fast 3%” disk drive stores complex songs in seconds and holds over 110,000 notes
per disk!
¢ One or all tracks may be TRANSPOSED at the touch of a key.
e Exclusive real-time ERASE function makes editing FAST.
* Exclusive REPEAT function automatically repeats any held notes at a pre-selected
rhythmic value.
¢ TIMING CORRECTION works during playback and operates without chopping notes.
¢ Optional SMPTE time code synchronization.
© Optional remote control.
Recording a Sequence
To record a sequence, simply press RECORD and PLAY,
then play your MIDI keyboard in time to the Sequencers
click track. When the sequence loops back around to bar 1,
you ll hear what you played—only all timing errors will be
corrected! (Timing correction may be adjusted or defeated).
Any additional notes played will be added into the track
— existing notes are not erased while recording!
FAST FORWARD, REWIND, and LOCATE controls
may be used at any time to quickly access any location in
your sequence for spot-recording. To overdub a new part,
select a different track and start recording—while you
record, the first track will play in perfect sync (unless you
MUTE it, or SOLO another track). In this way, up to 32
tracks may be overdubbed! All MIDI effects are recorded
including pitch bend, modulation, velocity, aftertouch,
sustain pedal, and program changes!
Editing
To erase a wrong note, simply hold ERASE and press
the note to be erased just before it plays in the sequence—
when played back, it will be gone. Notes may also be
added, erased, or changed using the SINGLE STEP func-
tion. To overdub notes at specific points within a sequence,
Additional Features
simply use LOCATE, FAST FORWARD, or REWIND to
find the desired bar number, then start recording.
The INSERT/COPY function allows you to move bars
from one location to another—in the same sequence or a
different one. For example, you might insert a copy of the
first verse between the second chorus and the bridge.
DELETE BARS operates the same way to remove
unwanted sections,
Creating a Song
One way to create a song is to record each track all the
way through (up to 999 bars). Another way is to record
each basic section (verse, chorus, etc.) in individual
sequences, then use the CREATE SONG function to “chain”
them together. CREATE SONG will then automatically
copy all the parts into a new sequence. If desired, you can
even set the last few bars to repeat infinitely, for a fadeout.
Composition Without Compromise
The technology you use should never be so complex that
it interferes with the creative process. Thats precisely why
the LinnSequencer is designed to let you compose, record
and edit while devoting your undivided attention to your
music. See your Linn dealer today for a demonstration!
* Simple, easy to learn operation—the 32 character LCD display clearly guides you through all operations. If needed, the
HELP button displays additional explanations.
* Non-destructive recording—existing notes are not erased while recording.
¢ Two FOOTSWITCH INPUTS may be assigned to remotely control many of the commonly used functions, including
ERASE, REPEAT, PLAY/STOP, or LOCATE.
¢ Iwo TRIGGER OUTPUTS may be programmed to output pulses at any selected note value.
© Will sync to standard LinnDrum or Linn 9000 sync tone.
© Utilizes ultra high-speed, 8 MHz 80186 16 bit computer internally for FAST operation.
* TEMPO may be specified in BEATS-PER-MINUTE or FRAMES-PER-BEAT at 24, 25, or 30 frames per second,
(even drop frame!)
¢ TEMPO may be entered numerically, adjustable in tenths of a Beat-Per-Minute increments, or by tapping quarter notes
on the TAP TEMPO button.
¢ TEMPO CHANGES may be programmed into a sequence, with smooth transitions if desired.
¢ Any TIME SIGNATURE may be used, and may be changed within a song.
linn
Linn Electronics, Inc.
18720 Oxnard Street, Tarzana, CA 91356
(818) 708-8131 TELEX #298949 LINN UR
@@ -1 +0,0 @@
Tesseract Open Source OCR Engine v4.0.0-beta.1 with Leptonica
@@ -1,123 +0,0 @@
The LinnSequencer
32 Track MIDI Sequence Recorder
The LinnSequencer is a state-of-the-art composition and performance tool for the professional musician. It is
extremely powerful, yet amazingly simple to learn and use. Its many remarkable features include:
¢ Operation is similar to multi-track tape recorder with PLAY, STOP, RECORD, FAST
FORWARD, REWIND, and LOCATE controls.
e Each of the 100 sequences contains 32 simultaneous, polyphonic tracks. Each track may
be assigned to one of 16 MIDI channels. Simultaneously plays up to 16 polyphonic
synthesizers!
¢ Ultra-fast 3%” disk drive stores complex songs in seconds and holds over 110,000 notes
per disk!
¢ One or all tracks may be TRANSPOSED at the touch of a key.
e Exclusive real-time ERASE function makes editing FAST.
* Exclusive REPEAT function automatically repeats any held notes at a pre-selected
rhythmic value.
¢ TIMING CORRECTION works during playback and operates without chopping notes.
¢ Optional SMPTE time code synchronization.
© Optional remote control.
Recording a Sequence
To record a sequence, simply press RECORD and PLAY,
then play your MIDI keyboard in time to the Sequencers
click track. When the sequence loops back around to bar 1,
you ll hear what you played—only all timing errors will be
corrected! (Timing correction may be adjusted or defeated).
Any additional notes played will be added into the track
— existing notes are not erased while recording!
FAST FORWARD, REWIND, and LOCATE controls
may be used at any time to quickly access any location in
your sequence for spot-recording. To overdub a new part,
select a different track and start recording—while you
record, the first track will play in perfect sync (unless you
MUTE it, or SOLO another track). In this way, up to 32
tracks may be overdubbed! All MIDI effects are recorded
including pitch bend, modulation, velocity, aftertouch,
sustain pedal, and program changes!
Editing
To erase a wrong note, simply hold ERASE and press
the note to be erased just before it plays in the sequence—
when played back, it will be gone. Notes may also be
added, erased, or changed using the SINGLE STEP func-
tion. To overdub notes at specific points within a sequence,
Additional Features
simply use LOCATE, FAST FORWARD, or REWIND to
find the desired bar number, then start recording.
The INSERT/COPY function allows you to move bars
from one location to another—in the same sequence or a
different one. For example, you might insert a copy of the
first verse between the second chorus and the bridge.
DELETE BARS operates the same way to remove
unwanted sections,
Creating a Song
One way to create a song is to record each track all the
way through (up to 999 bars). Another way is to record
each basic section (verse, chorus, etc.) in individual
sequences, then use the CREATE SONG function to “chain”
them together. CREATE SONG will then automatically
copy all the parts into a new sequence. If desired, you can
even set the last few bars to repeat infinitely, for a fadeout.
Composition Without Compromise
The technology you use should never be so complex that
it interferes with the creative process. Thats precisely why
the LinnSequencer is designed to let you compose, record
and edit while devoting your undivided attention to your
music. See your Linn dealer today for a demonstration!
* Simple, easy to learn operation—the 32 character LCD display clearly guides you through all operations. If needed, the
HELP button displays additional explanations.
* Non-destructive recording—existing notes are not erased while recording.
¢ Two FOOTSWITCH INPUTS may be assigned to remotely control many of the commonly used functions, including
ERASE, REPEAT, PLAY/STOP, or LOCATE.
¢ Iwo TRIGGER OUTPUTS may be programmed to output pulses at any selected note value.
© Will sync to standard LinnDrum or Linn 9000 sync tone.
© Utilizes ultra high-speed, 8 MHz 80186 16 bit computer internally for FAST operation.
* TEMPO may be specified in BEATS-PER-MINUTE or FRAMES-PER-BEAT at 24, 25, or 30 frames per second,
(even drop frame!)
¢ TEMPO may be entered numerically, adjustable in tenths of a Beat-Per-Minute increments, or by tapping quarter notes
on the TAP TEMPO button.
¢ TEMPO CHANGES may be programmed into a sequence, with smooth transitions if desired.
¢ Any TIME SIGNATURE may be used, and may be changed within a song.
linn
Linn Electronics, Inc.
18720 Oxnard Street, Tarzana, CA 91356
(818) 708-8131 TELEX #298949 LINN UR
@@ -1 +0,0 @@
Tesseract Open Source OCR Engine v4.0.0-beta.1 with Leptonica
@@ -1,123 +0,0 @@
The LinnSequencer
32 Track MIDI Sequence Recorder
The LinnSequencer is a state-of-the-art composition and performance tool for the professional musician. It is
extremely powerful, yet amazingly simple to learn and use. Its many remarkable features include:
¢ Operation is similar to multi-track tape recorder with PLAY, STOP, RECORD, FAST
FORWARD, REWIND, and LOCATE controls.
e Each of the 100 sequences contains 32 simultaneous, polyphonic tracks. Each track may
be assigned to one of 16 MIDI channels. Simultaneously plays up to 16 polyphonic
synthesizers!
¢ Ultra-fast 3%” disk drive stores complex songs in seconds and holds over 110,000 notes
per disk!
¢ One or all tracks may be TRANSPOSED at the touch of a key.
e Exclusive real-time ERASE function makes editing FAST.
* Exclusive REPEAT function automatically repeats any held notes at a pre-selected
rhythmic value.
¢ TIMING CORRECTION works during playback and operates without chopping notes.
¢ Optional SMPTE time code synchronization.
© Optional remote control.
Recording a Sequence
To record a sequence, simply press RECORD and PLAY,
then play your MIDI keyboard in time to the Sequencers
click track. When the sequence loops back around to bar 1,
you ll hear what you played—only all timing errors will be
corrected! (Timing correction may be adjusted or defeated).
Any additional notes played will be added into the track
— existing notes are not erased while recording!
FAST FORWARD, REWIND, and LOCATE controls
may be used at any time to quickly access any location in
your sequence for spot-recording. To overdub a new part,
select a different track and start recording—while you
record, the first track will play in perfect sync (unless you
MUTE it, or SOLO another track). In this way, up to 32
tracks may be overdubbed! All MIDI effects are recorded
including pitch bend, modulation, velocity, aftertouch,
sustain pedal, and program changes!
Editing
To erase a wrong note, simply hold ERASE and press
the note to be erased just before it plays in the sequence—
when played back, it will be gone. Notes may also be
added, erased, or changed using the SINGLE STEP func-
tion. To overdub notes at specific points within a sequence,
Additional Features
simply use LOCATE, FAST FORWARD, or REWIND to
find the desired bar number, then start recording.
The INSERT/COPY function allows you to move bars
from one location to another—in the same sequence or a
different one. For example, you might insert a copy of the
first verse between the second chorus and the bridge.
DELETE BARS operates the same way to remove
unwanted sections,
Creating a Song
One way to create a song is to record each track all the
way through (up to 999 bars). Another way is to record
each basic section (verse, chorus, etc.) in individual
sequences, then use the CREATE SONG function to “chain”
them together. CREATE SONG will then automatically
copy all the parts into a new sequence. If desired, you can
even set the last few bars to repeat infinitely, for a fadeout.
Composition Without Compromise
The technology you use should never be so complex that
it interferes with the creative process. Thats precisely why
the LinnSequencer is designed to let you compose, record
and edit while devoting your undivided attention to your
music. See your Linn dealer today for a demonstration!
* Simple, easy to learn operation—the 32 character LCD display clearly guides you through all operations. If needed, the
HELP button displays additional explanations.
* Non-destructive recording—existing notes are not erased while recording.
¢ Two FOOTSWITCH INPUTS may be assigned to remotely control many of the commonly used functions, including
ERASE, REPEAT, PLAY/STOP, or LOCATE.
¢ Iwo TRIGGER OUTPUTS may be programmed to output pulses at any selected note value.
© Will sync to standard LinnDrum or Linn 9000 sync tone.
© Utilizes ultra high-speed, 8 MHz 80186 16 bit computer internally for FAST operation.
* TEMPO may be specified in BEATS-PER-MINUTE or FRAMES-PER-BEAT at 24, 25, or 30 frames per second,
(even drop frame!)
¢ TEMPO may be entered numerically, adjustable in tenths of a Beat-Per-Minute increments, or by tapping quarter notes
on the TAP TEMPO button.
¢ TEMPO CHANGES may be programmed into a sequence, with smooth transitions if desired.
¢ Any TIME SIGNATURE may be used, and may be changed within a song.
linn
Linn Electronics, Inc.
18720 Oxnard Street, Tarzana, CA 91356
(818) 708-8131 TELEX #298949 LINN UR
@@ -1 +0,0 @@
Warning. Invalid resolution 0 dpi. Using 70 instead.
@@ -1,6 +0,0 @@
Page number: 0
Orientation in degrees: 0
Rotate: 0
Orientation confidence: 18.91
Script: Latin
Script confidence: 0.97
@@ -1 +0,0 @@
Warning. Invalid resolution 0 dpi. Using 70 instead.
@@ -1,6 +0,0 @@
Page number: 0
Orientation in degrees: 90
Rotate: 270
Orientation confidence: 17.21
Script: Latin
Script confidence: 1.06
@@ -1 +0,0 @@
Warning. Invalid resolution 0 dpi. Using 70 instead.
@@ -1,6 +0,0 @@
Page number: 0
Orientation in degrees: 180
Rotate: 180
Orientation confidence: 14.79
Script: Latin
Script confidence: 2.87
@@ -1 +0,0 @@
Warning. Invalid resolution 0 dpi. Using 70 instead.
@@ -1,6 +0,0 @@
Page number: 0
Orientation in degrees: 270
Rotate: 90
Orientation confidence: 19.19
Script: Latin
Script confidence: 0.58

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