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Author SHA1 Message Date
fritz-hh d55e36267a Release notes updated for v1.1-stable 2014-01-06 19:45:59 +01:00
fritz-hh 6ea29cc892 fixes #42 (bashism removed) 2014-01-06 19:36:07 +01:00
fritz-hh 0245ce4385 typo corrected 2014-01-06 19:34:53 +01:00
382 changed files with 40039 additions and 43525 deletions
-24
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@@ -1,24 +0,0 @@
[paths]
source =
src
*/site-packages
[run]
branch = true
parallel = true
concurrency =
thread
multiprocessing
source =
src/ocrmypdf
[report]
exclude_lines =
pragma: no cover
def __repr__
raise AssertionError
raise NotImplementedError
if 0:
if False:
if __name__ == .__main__.:
if TYPE_CHECKING:
-81
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# OCRmyPDF
#
FROM ubuntu:20.04 as base
FROM base as builder
ENV LANG=C.UTF-8
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential autoconf automake libtool \
libleptonica-dev \
zlib1g-dev \
python3 \
python3-distutils \
ca-certificates \
curl \
git
# Get the latest pip (Ubuntu version doesn't support manylinux2010)
RUN \
curl https://bootstrap.pypa.io/get-pip.py | python3
# Compile and install jbig2
# Needs libleptonica-dev, zlib1g-dev
RUN \
mkdir jbig2 \
&& curl -L https://github.com/agl/jbig2enc/archive/ea6a40a.tar.gz | \
tar xz -C jbig2 --strip-components=1 \
&& cd jbig2 \
&& ./autogen.sh && ./configure && make && make install \
&& cd .. \
&& rm -rf jbig2
COPY . /app
WORKDIR /app
RUN pip3 install --no-cache-dir \
-r requirements/main.txt \
-r requirements/webservice.txt \
-r requirements/test.txt \
-r requirements/watcher.txt \
.
FROM base
ENV LANG=C.UTF-8
RUN apt-get update && apt-get install -y --no-install-recommends \
ghostscript \
img2pdf \
liblept5 \
libsm6 libxext6 libxrender-dev \
zlib1g \
pngquant \
python3 \
qpdf \
tesseract-ocr \
tesseract-ocr-chi-sim \
tesseract-ocr-deu \
tesseract-ocr-eng \
tesseract-ocr-fra \
tesseract-ocr-por \
tesseract-ocr-spa \
unpaper
WORKDIR /app
COPY --from=builder /usr/local/lib/ /usr/local/lib/
COPY --from=builder /usr/local/bin/ /usr/local/bin/
COPY --from=builder /app/misc/webservice.py /app/
COPY --from=builder /app/misc/watcher.py /app/
# Copy minimal project files to get the test suite.
COPY --from=builder /app/setup.cfg /app/setup.py /app/README.md /app/
COPY --from=builder /app/requirements /app/requirements
COPY --from=builder /app/tests /app/tests
COPY --from=builder /app/src /app/src
ENTRYPOINT ["/usr/local/bin/ocrmypdf"]
-44
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# dotfiles
.*
!.coveragerc
!.dockerignore
!.git_archival.txt
!.gitattributes
!.gitignore
!.pre-commit-config.yaml
!.readthedocs.yml
# Dev scratch
*.ipynb
**/*.pyc
/*.pdf
/*.qdf
/*.png
/scratch.py
IDEAS
log/
tests/resources/private/
tmp/
venv*/
/debug_tests.py
*.traineddata
/private
# Package building
*.egg-info/
build/
dist/
wheelhouse/
pip-wheel-metadata/
# Code coverage
htmlcov/
# Docker specific
bin/
docs/
include/
lib/
# Docker include .git/
!.git/
-1
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@@ -1 +0,0 @@
ref-names: $Format:%D$
+1 -7
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@@ -5,10 +5,4 @@
# (binary is a macro for -text -diff)
*.jar binary
*.pdf binary
*.PDF binary
*.png binary
*.jpg binary
*.bin binary
*.afdesign binary
.git_archival.txt export-subst
*.PDF binary
-12
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@@ -1,12 +0,0 @@
# These are supported funding model platforms
github: # Replace with up to 4 GitHub Sponsors-enabled usernames e.g., [user1, user2]
patreon: # Replace with a single Patreon username
open_collective: james-barlow
ko_fi: # Replace with a single Ko-fi username
tidelift: # Replace with a single Tidelift platform-name/package-name e.g., npm/babel
community_bridge: # Replace with a single Community Bridge project-name e.g., cloud-foundry
liberapay: # Replace with a single Liberapay username
issuehunt: # Replace with a single IssueHunt username
otechie: # Replace with a single Otechie username
custom: # Replace with up to 4 custom sponsorship URLs e.g., ['link1', 'link2']
-40
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@@ -1,40 +0,0 @@
---
name: Bug report
about: Create a report to help us improve
title: ''
labels: ''
assignees: ''
---
**Describe the bug**
A clear and concise description of what the bug is.
**To Reproduce**
What command line or API call were you trying to run?
```bash
ocrmypdf ...arguments... input.pdf output.pdf
```
Run with verbosity or higher `-v1` to see more detailed logging. This information may be helpful.
**Example file**
Include an input PDF or image that demonstrates your issue.
Please provide an input file with no personal or confidential information. At your option you may `GPG-encrypt the file <https://github.com/jbarlow83/OCRmyPDF/wiki>` for OCRmyPDF's author only.
Links to files hosted elsewhere are perfectly acceptable. You could also look in ``tests/resources`` and see if any of those files reproduce your issue.
(Exceptions: Issues with installation, command line argument parsing, test suite failures.Issues without example files usually cannot be resolved.)
**Expected behavior**
A clear and concise description of what you expected to happen.
**Screenshots**
If applicable, add screenshots to help explain your problem.
**System**
- OS: [e.g. Linux, Windows, macOS]
- OCRmyPDF Version: ``ocrmypdf --version``
- How did you install ocrmypdf? Did you use a system package manager, `pip`, or a Docker image?
-17
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@@ -1,17 +0,0 @@
---
name: Feature request
about: Suggest an idea for this project
title: ''
labels: enhancement
assignees: ''
---
**Is your feature request related to a problem? Please describe.**
A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
**Describe the solution you'd like**
A clear and concise description of what you want to happen.
**Additional context**
Add any other context or screenshots about the feature request here.
-33
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@@ -1,33 +0,0 @@
**Describe the issue**
A clear and concise description of what the issue is.
**To Reproduce**
What command line were you trying to run?
```bash
ocrmypdf ...arguments... input.pdf output.pdf
```
**Example file**
Please include an example *input* PDF (or image). The input file is more helpful.
Please check any or all that apply about the test file:
- [ ] This is the input file
- [ ] The file contains no personal or confidential information
- [ ] I am the copyright holder for this file
- [ ] I permit this file to be included in the OCRmyPDF test suite under the CC-BY-SA 4.0 license
- [ ] I am not the copyright holder, but this file is available under a free software license
Files that are not free for inclusion in this project are quite welcome, but we like to collect free files for our test suite when possible. Please do *not* submit files with confidential information. At your option you may encrypt files for OCRmyPDF's author only.
**Expected behavior**
A clear and concise description of what you expected to happen. Include screenshots if applicable.
**System:**
- OS: [e.g. Linux, macOS]
- OCRmyPDF Version: [e.g. v7.4.0]
**Additional context**
Add any other context about the problem here.
+1 -41
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@@ -1,42 +1,2 @@
# dotfiles
.*
!.coveragerc
!.dockerignore
!.git_archival.txt
!.gitattributes
!.gitignore
!.pre-commit-config.yaml
!.readthedocs.yml
# Dev scratch
*.ipynb
**/*.pyc
/*.pdf
/*.qdf
/*.png
/scratch.py
IDEAS
log/
tests/resources/private/
tmp/
venv*/
/debug_tests.py
*.traineddata
/private
# Package building
*.egg-info/
build/
dist/
wheelhouse/
pip-wheel-metadata/
# Code coverage
htmlcov/
# Automatically generated files
docs/_build/
docs/_static/
docs/_templates/
docs/Makefile
ocrmypdf/lib/_*.py
log/
-23
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@@ -1,23 +0,0 @@
repos:
- repo: https://github.com/pre-commit/pre-commit-hooks
rev: v3.1.0
hooks:
- id: check-case-conflict
- id: check-merge-conflict
- id: check-toml
- id: check-yaml
- id: debug-statements
- repo: https://github.com/asottile/seed-isort-config
rev: v2.2.0
hooks:
- id: seed-isort-config
- repo: https://github.com/pre-commit/mirrors-isort
rev: v5.0.5 # pick the isort version you'd like to use from https://github.com/pre-commit/mirrors-isort/releases
hooks:
- id: isort
- repo: https://github.com/psf/black
rev: 19.10b0
hooks:
- id: black
language_version: python3.8
exclude: ^src/ocrmypdf/lib/_leptonica.py
-10
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@@ -1,10 +0,0 @@
build:
image: latest
python:
version: 3.6
formats:
- pdf
requirements_file: requirements/main.txt
+17
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@@ -0,0 +1,17 @@
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.
-674
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@@ -1,674 +0,0 @@
GNU GENERAL PUBLIC LICENSE
Version 3, 29 June 2007
Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
Everyone is permitted to copy and distribute verbatim copies
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@@ -0,0 +1,363 @@
#!/bin/sh
##############################################################################
# Copyright (c) 2013: fritz-hh from Github (https://github.com/fritz-hh)
##############################################################################
TOOLNAME="OCRmyPDF"
VERSION="v1.1-stable"
START=`date +%s`
usage() {
cat << EOF
--------------------------------------------------------------------------------------
Script aimed at generating a searchable PDF file from a PDF file containing only images.
(The script performs optical character recognition of each respective page using the
tesseract engine)
Copyright: fritz from NAS4Free forum
Version: $VERSION
Usage: OCRmyPDF.sh [-h] [-v] [-g] [-k] [-d] [-c] [-i] [-l language] [-C filename] inputfile outputfile
-h : Display this help message
-v : Increase the verbosity (this option can be used more than once)
-k : Do not delete the temporary files
-g : Activate debug mode:
- Generates a PDF file containing each page twice (once with the image, once without the image
but with the OCRed text as well as the detected bounding boxes)
- Set the verbosity to the highest possible
- Do not delete the temporary files
-d : Deskew each page before performing OCR
-c : Clean each page before performing OCR
-i : Incorporate the cleaned image in the final PDF file (by default the original image
image, or the deskewed image if the -d option is set, is incorporated)
-l : Set the language of the PDF file in order to improve OCR results (default "eng")
Any language supported by tesseract is supported.
-C : Pass an additional configuration file to the tesseract OCR engine.
(this option can be used more than once)
Note: The configuration file must be available in the "tessdata/configs" folder
of your tesseract installation
inputfile : PDF file to be OCRed
outputfile : The PDF/A file to be generated
--------------------------------------------------------------------------------------
EOF
}
#################################################
# Get an absolute path from a relative path to a file
#
# Param1 : Relative path
# Returns: 1 if the folder in which the file is located does not exist
# 0 otherwise
#################################################
absolutePath() {
local wdsave absolutepath
wdsave="$(pwd)"
! cd "$(dirname "$1")" 1> /dev/null 2> /dev/null && return 1
absolutepath="$(pwd)/$(basename "$1")"
cd "$wdsave"
echo "$absolutepath"
return 0
}
# Initialization of constants
EXIT_BAD_ARGS="1" # possible exit codes
EXIT_BAD_INPUT_FILE="2"
EXIT_MISSING_DEPENDENCY="3"
EXIT_INVALID_OUPUT_PDFA="4"
EXIT_OTHER_ERROR="5"
LOG_ERR="0" # 0=only error messages
LOG_INFO="1" # 1=error messages and some infos
LOG_DEBUG="2" # 2=debug level logging
SRC="./src" # location of the source folder (except source of external tools like jhove)
JHOVE="./jhove/bin/JhoveApp.jar" # java SW for validating the final PDF/A
JHOVE_CFG="./jhove/conf/jhove.conf" # location of the jhove config file
# Initialization the configuration parameters with default values
VERBOSITY="$LOG_ERR" # default verbosity level
LAN="eng" # default language of the PDF file (required to get good OCR results)
KEEP_TMP="0" # do not delete the temporary files (default)
PREPROCESS_DESKEW="0" # 0=no, 1=yes (deskew image)
PREPROCESS_CLEAN="0" # 0=no, 1=yes (clean image to improve OCR)
PREPROCESS_CLEANTOPDF="0" # 0=no, 1=yes (put cleaned image in final PDF)
PDF_NOIMG="0" # 0=no, 1=yes (generates each PDF page twice, with and without image)
TESS_CFG_FILES="" # list of additional configuration files to be used by tesseract
# Parse optional command line arguments
while getopts ":hvgkdcil:C:" opt; do
case $opt in
h) usage ; exit 0 ;;
v) VERBOSITY=$(($VERBOSITY+1)) ;;
k) KEEP_TMP="1" ;;
g) PDF_NOIMG="1"; VERBOSITY="10"; KEEP_TMP="1" ;;
d) PREPROCESS_DESKEW="1" ;;
c) PREPROCESS_CLEAN="1" ;;
i) PREPROCESS_CLEANTOPDF="1" ;;
l) LAN="$OPTARG" ;;
C) TESS_CFG_FILES="$OPTARG $TESS_CFG_FILES" ;;
\?)
echo "Invalid option: -$OPTARG" >&2
usage
exit $EXIT_BAD_ARGS ;;
:)
echo "Option -$OPTARG requires an argument" >&2
usage
exit $EXIT_BAD_ARGS ;;
esac
done
# Remove the optional arguments parsed above.
shift $((OPTIND-1))
# Check if the number of mandatory parameters
# provided is as expected
if [ "$#" -ne "2" ]; then
echo "Exactly two mandatory argument shall be provided ($# arguments provided)" >&2
usage
exit $EXIT_BAD_ARGS
fi
! absolutePath "$1" > /dev/null && echo "The folder in which the input file should be located does not exist. Exiting..." >&2 && exit $EXIT_BAD_ARGS
FILE_INPUT_PDF="`absolutePath "$1"`"
! absolutePath "$2" > /dev/null && echo "The folder in which the output file should be generated does not exist. Exiting..." >&2 && exit $EXIT_BAD_ARGS
FILE_OUTPUT_PDFA="`absolutePath "$2"`"
# set script path as working directory
cd "`dirname $0`"
[ $VERBOSITY -ge $LOG_INFO ] && echo "$TOOLNAME version: $VERSION"
# check if the required utilities are installed
[ $VERBOSITY -ge $LOG_DEBUG ] && echo "Checking if all dependencies are installed"
! command -v identify > /dev/null && echo "Please install ImageMagick. Exiting..." >&2 && exit $EXIT_MISSING_DEPENDENCY
! command -v pdfimages > /dev/null && echo "Please install poppler-utils. Exiting..." >&2 && exit $EXIT_MISSING_DEPENDENCY
! command -v pdftoppm > /dev/null && echo "Please install poppler-utils. Exiting..." >&2 && exit $EXIT_MISSING_DEPENDENCY
! command -v pdftk > /dev/null && echo "Please install pdftk. Exiting..." >&2 && exit $EXIT_MISSING_DEPENDENCY
[ $PREPROCESS_CLEAN -eq 1 ] && ! command -v unpaper > /dev/null && echo "Please install unpaper. Exiting..." >&2 && exit $EXIT_MISSING_DEPENDENCY
! command -v tesseract > /dev/null && echo "Please install tesseract and tesseract-data. Exiting..." >&2 && exit $EXIT_MISSING_DEPENDENCY
! command -v python > /dev/null && echo "Please install python, and the python libraries: reportlab, lxml. Exiting..." >&2 && exit $EXIT_MISSING_DEPENDENCY
! command -v gs > /dev/null && echo "Please install ghostcript. Exiting..." >&2 && exit $EXIT_MISSING_DEPENDENCY
! command -v java > /dev/null && echo "Please install java. Exiting..." >&2 && exit $EXIT_MISSING_DEPENDENCY
# Initialize path to temporary files
today=$(date +"%Y%m%d_%H%M")
fld=$(basename "$FILE_INPUT_PDF" | sed 's/[.][^.]*//')
TMP_FLD="./tmp/$today.filename.$fld"
FILE_TMP="$TMP_FLD/tmp.txt" # temporary file with a very short lifetime (may be used for several things)
FILE_SIZE_PAGES="$TMP_FLD/page-sizes.txt" # size in pt of the respective page of the input PDF file
FILE_OUTPUT_PDF_CAT="${TMP_FLD}/ocred.pdf" # concatenated OCRed PDF files
FILE_OUTPUT_PDFA_WO_META="${TMP_FLD}/ocred-pdfa-wo-metadata.pdf" # PDFA file before appending metadata
FILE_VALIDATION_LOG="${TMP_FLD}/pdf_validation.log" # log file containing the results of the validation of the PDF/A file
# Create tmp folder
[ $VERBOSITY -ge $LOG_DEBUG ] && echo "Creating temporary folder: \"$TMP_FLD\""
rm -r -f "${TMP_FLD}"
mkdir -p "${TMP_FLD}"
# get the size of each pdf page (width / height) in pt (inch*72)
[ $VERBOSITY -ge $LOG_DEBUG ] && echo "Input file: Extracting size of each page (in pt)"
! identify -format "%w %h\n" "$FILE_INPUT_PDF" > "$FILE_TMP" \
&& echo "Could not get size of PDF pages. Exiting..." >&2 && exit $EXIT_BAD_INPUT_FILE
# removing empty lines (last one should be) and prepend page # before each line
sed '/^$/d' "$FILE_TMP" | awk '{printf "%04d %s\n", NR, $0}' > "$FILE_SIZE_PAGES"
numpages=`tail -n 1 "$FILE_SIZE_PAGES" | cut -f1 -d" "`
# Itterate the pages of the input pdf file
while read pageSize ; do
page=`echo $pageSize | cut -f1 -d" "`
[ $VERBOSITY -ge $LOG_INFO ] && echo "Processing page $page / $numpages"
# create the name of the required file
curOrigImg="$TMP_FLD/${page}_Image" # original image available in the current PDF page
# (the image file may have a different orientation than in the pdf file)
curHocr="$TMP_FLD/$page.hocr" # hocr file to be generated by the OCR SW for the current page
curOCRedPDF="$TMP_FLD/${page}-ocred.pdf" # PDF file containing the image + the OCRed text for the current page
curOCRedPDFDebug="$TMP_FLD/${page}-debug-ocred.pdf" # PDF file containing data required to find out if OCR worked correctly
# get width / height of PDF page (in pt)
widthPDF=`echo $pageSize | cut -f2 -d" "`
heightPDF=`echo $pageSize | cut -f3 -d" "`
[ $VERBOSITY -ge $LOG_DEBUG ] && echo "Page $page: size ${heightPDF}x${widthPDF} (h*w in pt)"
# extract raw image from pdf file to compute resolution
# unfortunatelly this image can have another orientation than in the pdf...
# so we will have to extract it again later using pdftoppm
pdfimages -f $page -l $page -j "$FILE_INPUT_PDF" "$curOrigImg" 1>&2
# count number of extracted images
nbImg=`ls -1 "$curOrigImg"* | wc -l`
[ $nbImg -ne "1" ] && echo "Expecting exactly 1 image on page $page (found $nbImg). Exiting..." >&2 && exit $EXIT_BAD_INPUT_FILE
# Get characteristics of the extracted image
curImg=`ls -1 "$curOrigImg"*`
propCurImg=`identify -format "%w %h %[colorspace]" "$curImg"`
widthCurImg=`echo "$propCurImg" | cut -f1 -d" "`
heightCurImg=`echo "$propCurImg" | cut -f2 -d" "`
colorspaceCurImg=`echo "$propCurImg" | cut -f3 -d" "`
# switch height/width values if the image has not the right orientation
# we make here the assumption that vertical/horizontal dpi are equal
# we will check that later
if [ $((($heightPDF-$widthPDF)*($heightCurImg-$widthCurImg))) -lt 0 ]; then
[ $VERBOSITY -ge $LOG_DEBUG ] && echo "Page $page: Extracted image has wrong orientation. Inverting image height/width values"
tmpval=$heightCurImg
heightCurImg=$widthCurImg
widthCurImg=$tmpval
fi
[ $VERBOSITY -ge $LOG_DEBUG ] && echo "Page $page: size ${heightCurImg}x${widthCurImg} (h*w pixel)"
# compute the resolution of the image
dpi_x=`echo "scale=5;$widthCurImg*72/$widthPDF" | bc`
dpi_y=`echo "scale=5;$heightCurImg*72/$heightPDF" | bc`
# compute the maximum allowed resolution difference that can be cause by:
# - the truncated PDF with/height in pt
# - the precision of dpi value
epsilon=`echo "scale=5;($widthCurImg*72/$widthPDF^2)+($heightCurImg*72/$heightPDF^2)+0.00002" | bc` # max inaccuracy due to truncation of PDF size in pt
[ `echo "($dpi_x - $dpi_y) < $epsilon " | bc` -eq 0 -o `echo "($dpi_y - $dpi_x) < $epsilon " | bc` -eq 0 ] \
&& echo "Resolutions difference ($dpi_x/$dpi_y) higher than expected ($epsilon). Exiting..." >&2 && exit $EXIT_BAD_INPUT_FILE
dpi=`echo "scale=5;($dpi_x+$dpi_y)/2+0.5" | bc` # adding 0.5 is required for rounding
dpi=`echo "scale=0;$dpi/1" | bc` # round to the nearest integer
# Identify if page image should be saved as ppm (color) or pgm (gray)
ext="ppm"
opt=""
if [ $colorspaceCurImg = "Gray" ]; then
ext="pgm"
opt="-gray"
fi
curImgPixmap="$TMP_FLD/$page.$ext"
curImgPixmapDeskewed="$TMP_FLD/$page.deskewed.$ext"
curImgPixmapClean="$TMP_FLD/$page.cleaned.$ext"
# extract current page as image with right orientation and resoltution
[ $VERBOSITY -ge $LOG_DEBUG ] && echo "Page $page: Extracting image as $ext file (${dpi} dpi)"
! pdftoppm -f $page -l $page -r $dpi $opt "$FILE_INPUT_PDF" > "$curImgPixmap" \
&& echo "Could not extract page $page as $ext from \"$FILE_INPUT_PDF\". Exiting..." >&2 && exit $EXIT_OTHER_ERROR
# if requested deskew image (without changing its size in pixel)
if [ "$PREPROCESS_DESKEW" -eq "1" ]; then
[ $VERBOSITY -ge $LOG_DEBUG ] && echo "Page $page: Deskewing image"
! convert "$curImgPixmap" -deskew 40% -gravity center -extent ${widthCurImg}x${heightCurImg} "$curImgPixmapDeskewed" \
&& echo "Could not deskew \"$curImgPixmap\". Exiting..." >&2 && exit $EXIT_OTHER_ERROR
else
cp "$curImgPixmap" "$curImgPixmapDeskewed"
fi
# if requested clean image with unpaper to get better OCR results
if [ "$PREPROCESS_CLEAN" -eq "1" ]; then
[ $VERBOSITY -ge $LOG_DEBUG ] && echo "Page $page: Cleaning image with unpaper"
! unpaper --dpi $dpi --mask-scan-size 100 \
--no-deskew --no-grayfilter --no-blackfilter --no-mask-center --no-border-align \
"$curImgPixmapDeskewed" "$curImgPixmapClean" 1> /dev/null \
&& echo "Could not clean \"$curImgPixmapDeskewed\". Exiting..." >&2 && exit $EXIT_OTHER_ERROR
else
cp "$curImgPixmapDeskewed" "$curImgPixmapClean"
fi
# perform OCR
[ $VERBOSITY -ge $LOG_DEBUG ] && echo "Page $page: Performing OCR"
! tesseract -l "$LAN" "$curImgPixmapClean" "$curHocr" hocr $TESS_CFG_FILES 1> /dev/null 2> /dev/null \
&& echo "Could not OCR file \"$curImgPixmapClean\". Exiting..." >&2 && exit $EXIT_OTHER_ERROR
mv "$curHocr.html" "$curHocr"
# embed text and image to new pdf file
if [ "$PREPROCESS_CLEANTOPDF" -eq "1" ]; then
image4finalPDF="$curImgPixmapClean"
else
image4finalPDF="$curImgPixmapDeskewed"
fi
[ $VERBOSITY -ge $LOG_DEBUG ] && echo "Page $page: Embedding text in PDF"
! python $SRC/hocrTransform.py -r $dpi -i "$image4finalPDF" "$curHocr" "$curOCRedPDF" \
&& echo "Could not create PDF file from \"$curHocr\". Exiting..." >&2 && exit $EXIT_OTHER_ERROR
# if requested generate special debug PDF page with visible OCR text
if [ $PDF_NOIMG -eq "1" ] ; then
[ $VERBOSITY -ge $LOG_DEBUG ] && echo "Page $page: Embedding text in PDF (debug page)"
! python $SRC/hocrTransform.py -b -r $dpi "$curHocr" "$curOCRedPDFDebug" \
&& echo "Could not create PDF file from \"$curHocr\". Exiting..." >&2 && exit $EXIT_OTHER_ERROR
fi
# delete temporary files created for the current page
# to avoid using to much disk space in case of PDF files having many pages
if [ $KEEP_TMP -eq 0 ]; then
rm "$curOrigImg"*.*
rm "$curHocr"
rm "$curImgPixmap"
rm "$curImgPixmapDeskewed"
rm "$curImgPixmapClean"
fi
done < "$FILE_SIZE_PAGES"
# concatenate all pages
[ $VERBOSITY -ge $LOG_DEBUG ] && echo "Output file: Concatenating all pages"
! pdftk "${TMP_FLD}/"*-ocred.pdf cat output "$FILE_OUTPUT_PDF_CAT" \
&& echo "Could not concatenate individual PDF pages (\"${TMP_FLD}/*-ocred.pdf\") to one file. Exiting..." >&2 && exit $EXIT_OTHER_ERROR
# convert the pdf file to match PDF/A format
[ $VERBOSITY -ge $LOG_DEBUG ] && echo "Output file: Converting to PDF/A"
! gs -dQUIET -dPDFA -dBATCH -dNOPAUSE -dUseCIEColor \
-sProcessColorModel=DeviceCMYK -sDEVICE=pdfwrite -sPDFACompatibilityPolicy=2 \
-sOutputFile="$FILE_OUTPUT_PDFA" "$FILE_OUTPUT_PDF_CAT" 1> /dev/null 2> /dev/null \
&& echo "Could not convert PDF file \"$FILE_OUTPUT_PDF_CAT\" to PDF/A. Exiting..." >&2 && exit $EXIT_OTHER_ERROR
# # Write metadata
# # Needs to be done after converting to PDF/A, as gs does not preserve metadata
# [ $VERBOSITY -ge $LOG_DEBUG ] && echo "Output file: Update metadata (creator, producer, and title)"
# title=`basename "$FILE_INPUT_PDF" | sed 's/[.][^.]*//' | \
# sed 's/_/ /g' | sed 's/-/ /g' | \
# sed 's/\([[:lower:]]\)\([[:upper:]]\)/\1 \2/g' | \
# sed 's/\([[:alpha:]]\)\([[:digit:]]\)/\1 \2/g' | \
# sed 's/\([[:digit:]]\)\([[:alpha:]]\)/\1 \2/g'` # transform the file name (with extension) into distinct words
# pdftk "$FILE_OUTPUT_PDFA_WO_META" update_info_utf8 - output "$FILE_OUTPUT_PDFA" << EOF
# InfoBegin
# InfoKey: Title
# InfoValue: $title
# InfoBegin
# InfoKey: Creator
# InfoValue: $TOOLNAME $VERSION
# InfoBegin
# InfoKey: Producer
# InfoValue: ghostcript `gs --version`, pdftk
# EOF
# validate generated pdf file (compliance to PDF/A)
[ $VERBOSITY -ge $LOG_DEBUG ] && echo "Output file: Checking compliance to PDF/A standard"
java -jar "$JHOVE" -c "$JHOVE_CFG" -m PDF-hul "$FILE_OUTPUT_PDFA" > "$FILE_VALIDATION_LOG"
grep -i "Status|Message" "$FILE_VALIDATION_LOG" # summary of the validation
[ $VERBOSITY -ge $LOG_DEBUG ] && echo "The full validation log is available here: \"$FILE_VALIDATION_LOG\""
# check the validation results
pdf_valid=1
grep -i 'ErrorMessage' "$FILE_VALIDATION_LOG" >&2 && pdf_valid=0
grep -i 'Status.*not valid' "$FILE_VALIDATION_LOG" >&2 && pdf_valid=0
grep -i 'Status.*Not well-formed' "$FILE_VALIDATION_LOG" >&2 && pdf_valid=0
! grep -i 'Profile:.*PDF/A-1' "$FILE_VALIDATION_LOG" > /dev/null && echo "PDF file profile is not PDF/A-1" >&2 && pdf_valid=0
[ $pdf_valid -ne 1 ] && echo "Output file: The generated PDF/A file is INVALID" >&2
[ $pdf_valid -ne 0 ] && [ $VERBOSITY -ge $LOG_INFO ] && echo "Output file: The generated PDF/A file is VALID"
# delete temporary files
if [ $KEEP_TMP -eq 0 ]; then
[ $VERBOSITY -ge $LOG_DEBUG ] && echo "Deleting temporary files"
rm -r -f "${TMP_FLD}"
fi
END=`date +%s`
[ $VERBOSITY -ge $LOG_DEBUG ] && echo "Script took $(($END-$START)) seconds"
[ $pdf_valid -ne 1 ] && exit $EXIT_INVALID_OUPUT_PDFA || exit 0
+28 -124
View File
@@ -1,138 +1,42 @@
<img src="docs/images/logo.svg" width="240" alt="OCRmyPDF">
OCRmyPDF
========
[![Build Status][azure]](https://dev.azure.com/jim0585/ocrmypdf/_build/latest?definitionId=2&branchName=master) [![PyPI version][pypi]](https://pypi.org/project/ocrmypdf/) ![Homebrew version][homebrew] ![ReadTheDocs][docs] ![Python versions][pyversions]
OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
[azure]: https://dev.azure.com/jim0585/ocrmypdf/_apis/build/status/jbarlow83.OCRmyPDF?branchName=master
[travis]: https://travis-ci.org/jbarlow83/OCRmyPDF.svg?branch=master "Travis build status"
[pypi]: https://img.shields.io/pypi/v/ocrmypdf.svg "PyPI version"
[homebrew]: https://img.shields.io/homebrew/v/ocrmypdf.svg "Homebrew version"
[docs]: https://readthedocs.org/projects/ocrmypdf/badge/?version=latest "RTD"
[pyversions]: https://img.shields.io/pypi/pyversions/ocrmypdf "Supported Python versions"
To get the script usage, call: sh ./OCRmyPDF.sh -h
OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched or copy-pasted.
Features
--------
```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
```
- Generate a searchable PDF/A file from a PDF file containing only images
- Place OCRed text accurately below the image to easy copy / paste
- Keep the exact resolution of the original embedded images
- If requested deskew and / or clean the image before performing OCR
- Validate the generated file against the PDF/A specification using jhove
- Provides debug mode to enable easy verification of the OCR results
[See the release notes for details on the latest changes](https://ocrmypdf.readthedocs.io/en/latest/release_notes.html).
## 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 disrupting any other content
- Optimizes PDF images, often producing files smaller than the input file
- If requested, deskews and/or cleans the image before performing OCR
- Validates input and output files
- Distributes work across all available CPU cores
- Uses [Tesseract OCR](https://github.com/tesseract-ocr/tesseract) engine to recognize more than [100 languages](https://github.com/tesseract-ocr/tessdata)
- Scales properly to handle files with thousands of pages
- Battle-tested on millions of PDFs
For details: please consult the [documentation](https://ocrmypdf.readthedocs.io/en/latest/).
## Motivation
I searched the web for a free command line tool to OCR PDF files: I found many, but none of them were really satisfying:
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 did not display correctly some escaped html characters located in the hocr file produced by the OCR engine
- Or they changed the resolution of the embedded images
- Or they generated ridiculously large PDF files
- Or they crashed when trying to OCR
- Or they did not produce valid PDF files
- On top of that none of them produced PDF/A files (format dedicated for long time storage)
- Or they generated PDF file having a ridiculous big size
- 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 / archiving)
...so I decided to develop my own tool.
... so I decided to develop my own tool (using various existing scripts as an inspiration)
## Installation
Install
--------
Linux, Windows, macOS and FreeBSD are supported. Docker images are also available.
Download OCRmyPDF here: https://github.com/fritz-hh/OCRmyPDF/tags
Users of Debian 9 or later or Ubuntu 16.10 or later may simply
Copy the file in onto your linux/unix machine and extract it.
```bash
apt-get install ocrmypdf
```
Run: "sh ./OCRmyPDF.sh -h" to get the script usage
and users of Fedora 29 or later may simply
```bash
dnf install ocrmypdf
```
and Homebrew users (macOS, Linux, Windows Subsystem for Linux) may simply
```bash
brew install ocrmypdf
```
For everyone else, [see our documentation](https://ocrmypdf.readthedocs.io/en/latest/installation.html) for installation steps.
## Languages
OCRmyPDF uses Tesseract for OCR, and relies on its language packs. For Linux users, you can often find packages that provide language packs:
```bash
# Display a list of all Tesseract language packs
apt-cache search tesseract-ocr
# Debian/Ubuntu users
apt-get install tesseract-ocr-chi-sim # Example: Install Chinese Simplified language pack
# Arch Linux users
pacman -S tesseract-data-eng tesseract-data-deu # Example: Install the English and German language packs
```
You can then pass the `-l LANG` argument to OCRmyPDF to give a hint as to what languages it should search for. Multiple languages can be requested.
## Documentation and support
Once OCRmyPDF is installed, the built-in help which explains the command syntax and options can be accessed via:
```bash
ocrmypdf --help
```
Our [documentation is served on Read the Docs](https://ocrmypdf.readthedocs.io/en/latest/index.html).
Please report issues on our [GitHub issues](https://github.com/jbarlow83/OCRmyPDF/issues) page, and follow the issue template for quick response.
## Requirements
In addition to the required Python version (3.6+), OCRmyPDF requires external program installations of Ghostscript, Tesseract OCR, QPDF, and Leptonica. OCRmyPDF is pure Python, but uses CFFI to portably generate library bindings. OCRmyPDF works on pretty much everything: Linux, macOS, Windows and FreeBSD.
## Press & Media
- [Going paperless with OCRmyPDF](https://medium.com/@ikirichenko/going-paperless-with-ocrmypdf-e2f36143f46a)
- [Converting a scanned document into a compressed searchable PDF with redactions](https://medium.com/@treyharris/converting-a-scanned-document-into-a-compressed-searchable-pdf-with-redactions-63f61c34fe4c)
- [c't 1-2014, page 59](https://heise.de/-2279695): Detailed presentation of OCRmyPDF v1.0 in the leading German IT magazine c't
- [heise Open Source, 09/2014: Texterkennung mit OCRmyPDF](https://heise.de/-2356670)
- [heise Durchsuchbare PDF-Dokumente mit OCRmyPDF erstellen](https://www.heise.de/ratgeber/Durchsuchbare-PDF-Dokumente-mit-OCRmyPDF-erstellen-4607592.html)
- [Excellent Utilities: OCRmyPDF](https://www.linuxlinks.com/excellent-utilities-ocrmypdf-add-ocr-text-layer-scanned-pdfs/)
## Business enquiries
OCRmyPDF would not be the software that it is today without companies and users choosing to provide support for feature development and consulting enquiries. We are happy to discuss all enquiries, whether for extending the existing feature set, or integrating OCRmyPDF into a larger system.
## License
The OCRmyPDF software is licensed under the GNU GPLv3. Certain files are covered by other licenses, as noted in their source files.
The license for each test file varies, and is noted in tests/resources/README.rst. The documentation is licensed under Creative Commons Attribution-ShareAlike 4.0 (CC-BY-SA 4.0).
OCRmyPDF versions prior to 6.0 were distributed under the MIT License.
## Disclaimer
The software is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
If not yet installed, the script will notify you about dependencies that need to be installed
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RELEASE NOTES
=============
Please always read this file before installing the package
Download software here: https://github.com/fritz-hh/OCRmyPDF/tags
v1.1-stable (2014-01-06):
====
New features
------------
- N/A
Changes
-------
- N/A
Fixes
-----
- Fixed syntax error (bashism) leading to an error message on certain systems (fixes #42)
Tested with
-----------
- Operating system: FreeBSD 9.1
- Dependencies:
- poppler-utils 0.22.2
- ImageMagick 6.8.0-7 2013-03-30
- Unpaper 0.3
- tesseract 3.02.02
- Python 2.7.3
- pdftk 1.45
- ghoscript (gs): 9.06
- java: openjdk version "1.7.0_17"
v1.0-stable (2013-05-06):
====
New features
------------
- In debug mode: compute and echo time required for processing (fixes #26)
Changes
-------
- Removed feature to add metadata in final pdf file (because it lead to to final PDF file that does not comply to the PDF/A-1 format)
- Removed feature to set same owner & permissions in final PDF file than in input file
- Removed many unused jhove files (e.g. documentation, *.java and *.class files)
Fixes
-----
- Correction to handle correctly path and input PDF files having spaces (fixes #31)
- Resolutions (x/y) that are nearly equal are now supported (fixes #25)
- Fix compatibility issue with Ubuntu server 12.04 / Ubuntu server 10.04 / Linux Mint 13 Maya and probably other Linux distributions (fixes #27)
- Commit missing jhove files (*.jar mainly) due to wrong .gitignore
Tested with
-----------
- Operating system: FreeBSD 9.1
- Dependencies:
- poppler-utils 0.22.2
- ImageMagick 6.8.0-7 2013-03-30
- Unpaper 0.3
- tesseract 3.02.02
- Python 2.7.3
- pdftk 1.45
- ghoscript (gs): 9.06
- java: openjdk version "1.7.0_17"
v1.0-rc2 (2013-04-29):
====
New features
------------
- Keep temporary files if debug mode is set (fixes #22)
- Set same owner & permissions in final PDF file than in input file (fixes #9)
- Added metadata in final pdf file (fixes #4)
Changes
-------
- N/A
Fixes
-----
- Fixed wrong image cropping when deskew option is activated
- Exit with error message if page size is not found in hocr file (fixes #21)
- Various minor fixes in log messages
Tested with
-----------
- Operating system: FreeBSD 9.1
- Dependencies:
- poppler-utils 0.22.2
- ImageMagick 6.8.0-7 2013-03-30
- Unpaper 0.3
- tesseract 3.02.02
- Python 2.7.3
- pdftk 1.45
- ghoscript (gs): 9.06
- java: openjdk version "1.7.0_17"
v1.0-rc1 (2013-04-26):
====
New features
------------
- First release candidate
Changes
-------
- N/A
Fixes
-----
- N/A
Tested with
-----------
- Operating system: FreeBSD 9.1
- Dependencies:
- poppler-utils 0.22.2
- ImageMagick 6.8.0-7 2013-03-30
- Unpaper 0.3
- tesseract 3.02.02
- Python 2.7.3
- pdftk 1.45
- ghoscript (gs): 9.06
- java: openjdk version "1.7.0_17"
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@@ -1,259 +0,0 @@
trigger:
tags:
include:
- v*
branches:
include:
- "*"
exclude:
- "travis"
stages:
- stage: "Test"
jobs:
- job: Windows
pool:
vmImage: "vs2017-win2016"
strategy:
matrix:
Python36:
python.version: "3.6"
Python37:
python.version: "3.7"
Python38:
python.version: "3.8"
steps:
- task: UsePythonVersion@0
inputs:
versionSpec: "$(python.version)"
- pwsh: |
choco install --yes --no-progress --pre tesseract
choco install --yes --no-progress python3
choco install --yes --no-progress ghostscript
choco install --yes --no-progress pngquant
displayName: "Install system packages"
- pwsh: |
refreshenv
python -m pip install --upgrade pip wheel
python -m pip install -r requirements/main.txt -r requirements/test.txt .
displayName: "Install Python packages"
- pwsh: |
refreshenv
$env:pathext += ';.py'
# -n auto helps Windows
python -m pytest -n auto --junitxml=test.xml --cov=ocrmypdf --cov-report=xml
displayName: "Test"
- task: PublishTestResults@2
inputs:
testResultsFiles: "test.xml"
testRunTitle: "$(Agent.OS) - $(Build.DefinitionName) - Python $(python.version)"
condition: succeededOrFailed()
- job: "Ubuntu_1804"
pool:
vmImage: "ubuntu-18.04"
strategy:
matrix:
Python36:
python.version: "3.6"
Python37:
python.version: "3.7"
Python38:
python.version: "3.8"
steps:
- task: UsePythonVersion@0
inputs:
versionSpec: "$(python.version)"
- bash: |
sudo apt-get update
sudo apt-get install -y --no-install-recommends \
python3-software-properties \
curl \
ghostscript \
img2pdf \
libexempi3 \
libffi-dev \
liblept5 \
libsm6 libxext6 libxrender-dev \
pngquant \
poppler-utils \
tesseract-ocr \
tesseract-ocr-deu \
tesseract-ocr-eng \
unpaper \
zlib1g
displayName: "Install system packages"
- bash: |
curl https://bootstrap.pypa.io/get-pip.py | python3
pip3 install -r requirements/main.txt -r requirements/test.txt .
displayName: "Install Python packages"
- bash: |
tesseract --version
displayName: "Record versions"
- bash: |
# -n auto is slower on Linux and breaks on Python 3.8
pytest -n0 --junitxml=test.xml --cov=ocrmypdf --cov-report=xml
displayName: "Test"
- task: PublishTestResults@2
inputs:
testResultsFiles: "test.xml"
testRunTitle: "$(Agent.OS) - $(Build.DefinitionName) - Python $(python.version)"
condition: succeededOrFailed()
- job: "Ubuntu_1604"
pool:
vmImage: "ubuntu-16.04"
strategy:
matrix:
Python36:
python.version: "3.6"
steps:
- task: UsePythonVersion@0
inputs:
versionSpec: "$(python.version)"
- bash: |
sudo apt-get update
sudo apt-get install -y --no-install-recommends \
software-properties-common
sudo add-apt-repository -y ppa:alex-p/tesseract-ocr
sudo apt-get update
sudo apt-get install -y --no-install-recommends \
ghostscript \
img2pdf \
libexempi3 \
libffi-dev \
liblept5 \
libsm6 libxext6 libxrender-dev \
pngquant \
poppler-utils \
tesseract-ocr \
tesseract-ocr-deu \
tesseract-ocr-eng \
unpaper \
zlib1g
displayName: "Install system packages"
- bash: |
curl https://bootstrap.pypa.io/get-pip.py | python3
pip3 install -r requirements/main.txt -r requirements/test.txt .
displayName: "Install Python packages"
- bash: |
tesseract --version
displayName: "Record versions"
- bash: |
# -n auto is slower on Linux and breaks on Python 3.8
pytest -n0 --junitxml=test.xml --cov=ocrmypdf --cov-report=xml
displayName: "Test"
- task: PublishTestResults@2
inputs:
testResultsFiles: "test.xml"
testRunTitle: "$(Agent.OS) - $(Build.DefinitionName) - Python $(python.version)"
condition: succeededOrFailed()
- job: "macOS_Mojave"
pool:
vmImage: "macos-10.14"
strategy:
matrix:
Python37:
python.version: ""
Python38:
python.version: "python@3.8"
steps:
# https://github.com/actions/virtual-environments/issues/664
# - task: UsePythonVersion@0
# inputs:
# versionSpec: "$(python.version)"
- bash: |
brew update
brew unlink python@2
if [ "$(python.version)" != "" ]; then
brew upgrade $(python.version)
else
echo "Using Python `python3 --version`"
fi
displayName: "Update brew and Python"
- bash: |
brew install \
exempi \
ghostscript \
jbig2enc \
leptonica \
openjpeg \
pngquant \
tesseract \
unpaper
displayName: "Install system packages"
- bash: |
pip3 install --upgrade pip
pip3 install -r requirements/main.txt -r requirements/test.txt .
displayName: "Install Python packages"
- bash: |
tesseract --version
displayName: "Record versions"
- bash: pytest -nauto --junitxml=test.xml --cov=ocrmypdf --cov-report=xml
displayName: "Test"
- task: PublishTestResults@2
inputs:
testResultsFiles: "test.xml"
testRunTitle: "$(Agent.OS) - $(Build.DefinitionName) - Python $(python.version)"
condition: succeededOrFailed()
- task: PublishCodeCoverageResults@1
inputs:
codeCoverageTool: Cobertura
summaryFileLocation: "$(System.DefaultWorkingDirectory)/**/coverage.xml"
- stage: "Artifacts"
jobs:
- job: "sdist_wheel"
pool:
vmImage: "ubuntu-18.04"
steps:
- task: UsePythonVersion@0
inputs:
versionSpec: "3.7"
- bash: |
python -m pip install --upgrade pip wheel
python setup.py sdist bdist_wheel
- publish: dist
artifact: sdist_wheel
- stage: "Deploy"
jobs:
- deployment: "PyPI"
pool:
vmImage: "ubuntu-18.04"
environment: "deploy"
strategy:
runOnce:
deploy:
steps:
- download: current
artifact: sdist_wheel
- script: |
mkdir -p dist
mv $(Pipeline.Workspace)/sdist_wheel/* dist
displayName: "Move dist files"
- task: UsePythonVersion@0
inputs:
versionSpec: "3.8"
architecture: x64
- script: |
pip install --upgrade twine
displayName: "Generate artifacts"
- script: |
cat <<FILE >.pypirc
[distutils]
index-servers =
pypi
[pypi]
username: __token__
password: $(TOKEN_PYPI)
FILE
displayName: "Generate PyPI auth file"
- script: |
python -m twine upload --config-file .pypirc dist/*
displayName: "Upload to PyPI"
condition: and(succeeded(), startsWith(variables['Build.SourceBranch'], 'refs/tags/'))
- script: |
curl -X POST -d "token=$(TOKEN_RTD)" https://readthedocs.org/api/v2/webhook/pikepdf/39557/
displayName: "Trigger ReadTheDocs"
condition: and(succeeded(), or(startsWith(variables['Build.SourceBranch'], 'refs/tags/'), startsWith(variables['Build.SourceBranch'], 'refs/heads/master')))
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=================
Advanced features
=================
Control of unpaper
==================
OCRmyPDF uses ``unpaper`` to provide the implementation of the
``--clean`` and ``--clean-final`` arguments.
`unpaper <https://github.com/Flameeyes/unpaper/blob/master/doc/basic-concepts.md>`__
provides a variety of image processing filters to improve images.
By default, OCRmyPDF uses only ``unpaper`` arguments that were found to
be safe to use on almost all files without having to inspect every page
of the file afterwards. This is particularly true when only ``--clean``
is used, since that instructs OCRmyPDF to only clean the image before
OCR and not the final image.
However, if you wish to use the more aggressive options in ``unpaper``,
you may use ``--unpaper-args '...'`` to override the OCRmyPDF's defaults
and forward other arguments to unpaper. This option will forward
arguments to ``unpaper`` without any knowledge of what that program
considers to be valid arguments. The string of arguments must be quoted
as shown in the examples below. No filename arguments may be included.
OCRmyPDF will assume it can append input and output filename of
intermediate images to the ``--unpaper-args`` string.
In this example, we tell ``unpaper`` to expect two pages of text on a
sheet (image), such as occurs when two facing pages of a book are
scanned. ``unpaper`` uses this information to deskew each independently
and clean up the margins of both.
.. code-block:: bash
ocrmypdf --clean --clean-final --unpaper-args '--layout double' input.pdf output.pdf
ocrmypdf --clean --clean-final --unpaper-args '--layout double --no-noisefilter' input.pdf output.pdf
.. warning::
Some ``unpaper`` features will reposition text within the image.
``--clean-final`` is recommended to avoid this issue.
.. warning::
Some ``unpaper`` features cause multiple input or output files to be
consumed or produced. OCRmyPDF requires ``unpaper`` to consume one
file and produce one file. An deviation from that condition will
result in errors.
.. note::
``unpaper`` uses uncompressed PBM/PGM/PPM files for its intermediate
files. For large images or documents, it can take a lot of temporary
disk space.
Control of OCR options
======================
OCRmyPDF provides many features to control the behavior of the OCR
engine, Tesseract.
When OCR is skipped
-------------------
If a page in a PDF seems to have text, by default OCRmyPDF will exit
without modifying the PDF. This is to ensure that PDFs that were
previously OCRed or were "born digital" rather than scanned are not
processed.
If ``--skip-text`` is issued, then no OCR will be performed on pages
that already have text. The page will be copied to the output. This may
be useful for documents that contain both "born digital" and scanned
content, or to use OCRmyPDF to normalize and convert to PDF/A regardless
of their contents.
If ``--redo-ocr`` is issued, then a detailed text analysis is performed.
Text is categorized as either visible or invisible. Invisible text (OCR)
is stripped out. Then an image of each page is created with visible text
masked out. The page image is sent for OCR, and any additional text is
inserted as OCR. If a file contains a mix of text and bitmap images that
contain text, OCRmyPDF will locate the additional text in images without
disrupting the existing text.
If ``--force-ocr`` is issued, then all pages will be rasterized to
images, discarding any hidden OCR text, and rasterizing any printable
text. This is useful for redoing OCR, for fixing OCR text with a damaged
character map (text is selectable but not searchable), and destroying
redacted information. Any forms and vector graphics will be rasterized
as well.
Time and image size limits
--------------------------
By default, OCRmyPDF permits tesseract to run for three minutes (180
seconds) per page. This is usually more than enough time to find all
text on a reasonably sized page with modern hardware.
If a page is skipped, it will be inserted without OCR. If preprocessing
was requested, the preprocessed image layer will be inserted.
If you want to adjust the amount of time spent on OCR, change
``--tesseract-timeout``. You can also automatically skip images that
exceed a certain number of megapixels with ``--skip-big``. (A 300 DPI,
8.5×11" page is 8.4 megapixels.)
.. code-block:: bash
# Allow 300 seconds for OCR; skip any page larger than 50 megapixels
ocrmypdf --tesseract-timeout 300 --skip-big 50 bigfile.pdf output.pdf
Overriding default tesseract
----------------------------
OCRmyPDF checks the system ``PATH`` for the ``tesseract`` binary.
Some relevant environment variables that influence Tesseract's behavior
include:
.. envvar:: TESSDATA_PREFIX
Overrides the path to Tesseract's data files. This can allow
simultaneous installation of the "best" and "fast" training data
sets. OCRmyPDF does not manage this environment variable.
.. envvar:: OMP_THREAD_LIMIT
Controls the number of threads Tesseract will use. OCRmyPDF will
manage this environment if it is not already set. (Currently, it will
set it to 1 because this gives the best results in testing.)
For example, if you have a development build of Tesseract don't wish to
use the system installation, you can launch OCRmyPDF as follows:
.. code-block:: bash
env \
PATH=/home/user/src/tesseract/api:$PATH \
TESSDATA_PREFIX=/home/user/src/tesseract \
ocrmypdf input.pdf output.pdf
In this example ``TESSDATA_PREFIX`` is required to redirect Tesseract to
an alternate folder for its "tessdata" files.
Overriding other support programs
---------------------------------
In addition to tesseract, OCRmyPDF uses the following external binaries:
- ``gs`` (Ghostscript)
- ``unpaper``
- ``pngquant``
- ``jbig2``
In each case OCRmyPDF will search the ``PATH`` environment variable to
locate the binaries.
Changing tesseract configuration variables
------------------------------------------
You can override tesseract's default `control
parameters <https://github.com/tesseract-ocr/tesseract/wiki/ControlParams>`__
with a configuration file.
As an example, this configuration will disable Tesseract's dictionary
for current language. Normally the dictionary is helpful for
interpolating words that are unclear, but it may interfere with OCR if
the document does not contain many words (for example, a list of part
numbers).
Create a file named "no-dict.cfg" with these contents:
::
load_system_dawg 0
language_model_penalty_non_dict_word 0
language_model_penalty_non_freq_dict_word 0
then run ocrmypdf as follows (along with any other desired arguments):
.. code-block:: bash
ocrmypdf --tesseract-config no-dict.cfg input.pdf output.pdf
.. warning::
Some combinations of control parameters will break Tesseract or break
assumptions that OCRmyPDF makes about Tesseract's output.
Changing the PDF renderer
=========================
rasterizing
Converting a PDF to an image for display.
rendering
Creating a new PDF from other data (such as an existing PDF).
OCRmyPDF has these PDF renderers: ``sandwich`` and ``hocr``. The
renderer may be selected using ``--pdf-renderer``. The default is
``auto`` which lets OCRmyPDF select the renderer to use. Currently,
``auto`` always selects ``sandwich``.
The ``sandwich`` renderer
-------------------------
The ``sandwich`` renderer uses Tesseract's new text-only PDF feature,
which produces a PDF page that lays out the OCR in invisible text. This
page is then "sandwiched" onto the original PDF page, allowing lossless
application of OCR even to PDF pages that contain other vector objects.
Currently this is the best renderer for most uses, however it is
implemented in Tesseract so OCRmyPDF cannot influence it. Currently some
problematic PDF viewers like Mozilla PDF.js and macOS Preview have
problems with segmenting its text output, and
mightrunseveralwordstogether.
When image preprocessing features like ``--deskew`` are used, the
original PDF will be rendered as a full page and the OCR layer will be
placed on top.
The ``hocr`` renderer
---------------------
The ``hocr`` renderer works with older versions of Tesseract. The image
layer is copied from the original PDF page if possible, avoiding
potentially lossy transcoding or loss of other PDF information. If
preprocessing is specified, then the image layer is a new PDF.
Unlike ``sandwich`` this renderer is implemented within OCRmyPDF; anyone
looking to customize how OCR is presented should look here. A major
disadvantage of this renderer is it not capable of correctly handling
text outside the Latin alphabet. Pull requests to improve the situation
are welcome.
Currently, this renderer has the best compatibility with Mozilla's
PDF.js viewer.
This works in all versions of Tesseract.
The ``tesseract`` renderer
--------------------------
The ``tesseract`` renderer was removed. OCRmyPDF's new approach to text
layer grafting makes it functionally equivalent to ``sandwich``.
Return code policy
==================
OCRmyPDF writes all messages to ``stderr``. ``stdout`` is reserved for
piping output files. ``stdin`` is reserved for piping input files.
The return codes generated by the OCRmyPDF are considered part of the
stable user interface. They may be imported from
``ocrmypdf.exceptions``.
.. list-table:: Return codes
:widths: 5 35 60
:header-rows: 1
* - Code
- Name
- Interpretation
* - 0
- ``ExitCode.ok``
- Everything worked as expected.
* - 1
- ``ExitCode.bad_args``
- Invalid arguments, exited with an error.
* - 2
- ``ExitCode.input_file``
- The input file does not seem to be a valid PDF.
* - 3
- ``ExitCode.missing_dependency``
- An external program required by OCRmyPDF is missing.
* - 4
- ``ExitCode.invalid_output_pdf``
- An output file was created, but it does not seem to be a valid PDF. The file will be available.
* - 5
- ``ExitCode.file_access_error``
- The user running OCRmyPDF does not have sufficient permissions to read the input file and write the output file.
* - 6
- ``ExitCode.already_done_ocr``
- The file already appears to contain text so it may not need OCR. See output message.
* - 7
- ``ExitCode.child_process_error``
- An error occurred in an external program (child process) and OCRmyPDF cannot continue.
* - 8
- ``ExitCode.encrypted_pdf``
- The input PDF is encrypted. OCRmyPDF does not read encrypted PDFs. Use another program such as ``qpdf`` to remove encryption.
* - 9
- ``ExitCode.invalid_config``
- A custom configuration file was forwarded to Tesseract using ``--tesseract-config``, and Tesseract rejected this file.
* - 10
- ``ExitCode.pdfa_conversion_failed``
- A valid PDF was created, PDF/A conversion failed. The file will be available.
* - 15
- ``ExitCode.other_error``
- Some other error occurred.
* - 130
- ``ExitCode.ctrl_c``
- The program was interrupted by pressing Ctrl+C.
Debugging the intermediate files
================================
OCRmyPDF normally saves its intermediate results to a temporary folder
and deletes this folder when it exits, whether it succeeded or failed.
If the ``-k`` argument is issued on the command line, OCRmyPDF will keep
the temporary folder and print the location, whether it succeeded or
failed (provided the Python interpreter did not crash). An example
message is:
.. code-block:: none
Temporary working files retained at:
/tmp/com.github.ocrmypdf.u20wpz07
The organization of this folder is an implementation detail and subject
to change between releases. However the general organization is that
working files on a per page basis have the page number as a prefix
(starting with page 1), an infix indicates the processing stage, and a
suffix indicates the file type. Some important files include:
- ``_rasterize.png`` - what the input page looks like
- ``_ocr.png`` - the file that is sent to Tesseract for OCR; depending
on arguments this may differ from the presentation image
- ``_pp_deskew.png`` - the image, after deskewing
- ``_pp_clean.png`` - the image, after cleaning with unpaper
- ``_ocr_tess.pdf`` - the OCR file; appears as a blank page with invisible
text embedded
- ``_ocr_tess.txt`` - the OCR text (not necessarily all text on the page,
if the page is mixed format)
- ``fix_docinfo.pdf`` - a temporary file created to fix the PDF DocumentInfo
data structure
- ``graft_layers.pdf`` - the rendered PDF with OCR layers grafted on
- ``pdfa.pdf`` - ``graft_layers.pdf`` after conversion to PDF/A
- ``pdfa.ps`` - a PostScript file used by Ghostscript for PDF/A conversion
- ``optimize.pdf`` - the PDF generated before optimization
- ``optimize.out.pdf`` - the PDF generated by optimization
- ``origin`` - the input file
- ``origin.pdf`` - the input file or the input image converted to PDF
- ``images/*`` - images extracted during the optimization process; here
the prefix indicates a PDF object ID not a page number
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======================
Using the OCRmyPDF API
======================
OCRmyPDF originated as a command line program and continues to have this
legacy, but parts of it can be imported and used in other Python
applications.
Some applications may want to consider running ocrmypdf from a
subprocess call anyway, as this provides isolation of its activities.
Example
=======
OCRmyPDF one high-level function to run its main engine from an
application. The parameters are symmetric to the command line arguments
and largely have the same functions.
.. code-block:: python
import ocrmypdf
ocrmypdf.ocr('input.pdf', 'output.pdf', deskew=True)
With a few exceptions, all of the command line arguments are available
and may be passed as equivalent keywords.
A few differences are that ``verbose`` and ``quiet`` are not available.
Instead, output should be managed by configuring logging.
Parent process requirements
---------------------------
The :func:`ocrmypdf.ocr` function runs OCRmyPDF similar to command line
execution. To do this, it will:
- create a monitoring thread
- create worker processes (forking itself)
- manage the signal flags of worker processes
- execute other subprocesses (forking and executing other programs)
The Python process that calls ``ocrmypdf.ocr()`` must be sufficiently
privileged to perform these actions. If it is not, ``ocrmypdf()`` will
fail.
There is no currently no option to manage how jobs are scheduled other
than the argument ``jobs=`` which will limit the number of worker
processes.
Forking a child process to call ``ocrmypdf.ocr()`` is suggested. That
way your application will survive and remain interactive even if
OCRmyPDF does not.
Programs that call ``ocrmypdf.ocr()`` should also install a SIGBUS signal
handler (except on Windows), to raise an exception if access to a memory
mapped file fails. OCRmyPDF may use memory mapping.
.. warning::
On Windows, the script that calls ``ocrmypdf.ocr()`` must be protected
by an "ifmain" guard (``if __name__ == '__main__'``) or you must use
``ocrmypdf.ocr(...use_threads=True)``. If you do not take at least one
of these steps, Windows process semantics will prevent OCRmyPDF from working
correctly.
Logging
-------
OCRmyPDF will log under loggers named ``ocrmypdf``. In addition, it
imports ``pdfminer`` and ``PIL``, both of which post log messages under
those logging namespaces.
You can configure the logging as desired for your application or call
:func:`ocrmypdf.configure_logging` to configure logging the same way
OCRmyPDF itself does. The command line parameters such as ``--quiet``
and ``--verbose`` have no equivalents in the API; you must use the
provided configuration function or do configuration in a way that suits
your use case.
Progress monitoring
-------------------
OCRmyPDF uses the ``tqdm`` package to implement its progress bars.
:func:`ocrmypdf.configure_logging` will set up logging output to
``sys.stderr`` in a way that is compatible with the display of the
progress bar. Use ``ocrmypdf.ocr(...progress_bar=False)`` to disable
the progress bar.
Exceptions
----------
OCRmyPDF may throw standard Python exceptions, ``ocrmypdf.exceptions.*``
exceptions, some exceptions related to multiprocessing, and
``KeyboardInterrupt``. The parent process should provide an exception
handler. OCRmyPDF will clean up its temporary files and worker processes
automatically when an exception occurs.
Programs that call OCRmyPDF should consider trapping KeyboardInterrupt
so that they allow OCR to terminate with the whole program terminating.
When OCRmyPDF succeeds conditionally, it returns an integer exit code.
Reference
---------
.. autofunction:: ocrmypdf.ocr
.. autoclass:: ocrmypdf.Verbosity
:members:
:undoc-members:
.. autofunction:: ocrmypdf.configure_logging
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=============
API Reference
=============
This page summarizes the rest of the public API. Generally speaking this
should mainly of interest to plugin developers.
ocrmypdf.exceptions
===================
.. automodule:: ocrmypdf.exceptions
:members:
:undoc-members:
ocrmypdf.helpers
================
.. automodule:: ocrmypdf.helpers
:members:
ocrmypdf.hocrtransform
======================
.. automodule:: ocrmypdf.hocrtransform
:members:
ocrmypdf.pdfa
=============
.. automodule:: ocrmypdf.pdfa
:members:
ocrmypdf.quality
================
.. automodule:: ocrmypdf.quality
:members:
ocrmypdf.subprocess
===================
.. automodule:: ocrmypdf.subprocess
:members:
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================
Batch processing
================
This article provides information about running OCRmyPDF on multiple
files or configuring it as a service triggered by file system events.
Batch jobs
==========
Consider using the excellent `GNU
Parallel <https://www.gnu.org/software/parallel/>`__ to apply OCRmyPDF
to multiple files at once.
Both ``parallel`` and ``ocrmypdf`` will try to use all available
processors. To maximize parallelism without overloading your system with
processes, consider using ``parallel -j 2`` to limit parallel to running
two jobs at once.
This command will run all ocrmypdf all files named ``*.pdf`` in the
current directory and write them to the previous created ``output/``
folder. It will not search subdirectories.
The ``--tag`` argument tells parallel to print the filename as a prefix
whenever a message is printed, so that one can trace any errors to the
file that produced them.
.. code-block:: bash
parallel --tag -j 2 ocrmypdf '{}' 'output/{}' ::: *.pdf
OCRmyPDF automatically repairs PDFs before parsing and gathering
information from them.
Directory trees
===============
This will walk through a directory tree and run OCR on all files in
place, printing the output in a way that makes
.. code-block:: bash
find . -printf '%p' -name '*.pdf' -exec ocrmypdf '{}' '{}' \;
Alternatively, with a docker container (mounts a volume to the container
where the PDFs are stored):
.. code-block:: bash
find . -printf '%p' -name '*.pdf' -exec docker run --rm -v <host dir>:<container dir> jbarlow83/ocrmypdf '<container dir>/{}' '<container dir>/{}' \;
This only runs one ``ocrmypdf`` process at a time. This variation uses
``find`` to create a directory list and ``parallel`` to parallelize runs
of ``ocrmypdf``, again updating files in place.
.. code-block:: bash
find . -name '*.pdf' | parallel --tag -j 2 ocrmypdf '{}' '{}'
In a Windows batch file, use
.. code-block:: bat
for /r %%f in (*.pdf) do ocrmypdf %%f %%f
Sample script
-------------
This user contributed script also provides an example of batch
processing.
.. literalinclude:: ../misc/batch.py
:caption: misc/batch.py
Synology DiskStations
---------------------
Synology DiskStations (Network Attached Storage devices) can run the
Docker image of OCRmyPDF if the Synology `Docker
package <https://www.synology.com/en-global/dsm/packages/Docker>`__ is
installed. Attached is a script to address particular quirks of using
OCRmyPDF on one of these devices.
This is only possible for x86-based Synology products. Some Synology
products use ARM or Power processors and do not support Docker. Further
adjustments might be needed to deal with the Synology's relatively
limited CPU and RAM.
.. literalinclude:: ../misc/synology.py
:caption: misc/synology.py - Sample script for Synology DiskStations
Huge batch jobs
---------------
If you have thousands of files to work with, contact the author.
Consulting work related to OCRmyPDF helps fund this open source project
and all inquiries are appreciated.
Hot (watched) folders
=====================
Watched folders with watcher.py
-------------------------------
OCRmyPDF has a folder watcher called watcher.py, which is currently included in source
distributions but not part of the main program. It may be used natively or may run
in a Docker container. Native instances tend to give better performance. watcher.py
works on all platforms.
Users may need to customize the script to meet their requirements.
.. code-block:: bash
pip3 install -r requirements/watcher.txt
env OCR_INPUT_DIRECTORY=/mnt/input-pdfs \
OCR_OUTPUT_DIRECTORY=/mnt/output-pdfs \
OCR_OUTPUT_DIRECTORY_YEAR_MONTH=1 \
python3 watcher.py
.. csv-table:: watcher.py environment variables
:header: "Environment variable", "Description"
:widths: 50, 50
"OCR_INPUT_DIRECTORY", "Set input directory to monitor (recursive)"
"OCR_OUTPUT_DIRECTORY", "Set output directory (should not be under input)"
"OCR_ON_SUCCESS_DELETE", "This will delete the input file if the exit code is 0 (OK)"
"OCR_OUTPUT_DIRECTORY_YEAR_MONTH", "This will place files in the output in ``{output}/{year}/{month}/{filename}``"
"OCR_DESKEW", "Apply deskew to crooked input PDFs"
"OCR_JSON_SETTINGS", "A JSON string specifying any other arguments for ``ocrmypdf.ocr``, e.g. ``'OCR_JSON_SETTINGS={"rotate_pages": true}'``.
"OCR_POLL_NEW_FILE_SECONDS", "Polling interval"
"OCR_LOGLEVEL", "Level of log messages to report"
One could configure a networked scanner or scanning computer to drop files in the
watched folder.
Watched folders with Docker
---------------------------
The watcher service is included in the OCRmyPDF Docker image. To run it:
.. code-block:: bash
docker run \
-v <path to files to convert>:/input \
-v <path to store results>:/output \
-e OCR_OUTPUT_DIRECTORY_YEAR_MONTH=1 \
-e OCR_ON_SUCCESS_DELETE=1 \
-e OCR_DESKEW=1 \
-e PYTHONUNBUFFERED=1 \
-it --entrypoint python3 \
jbarlow83/ocrmypdf \
watcher.py
This service will watch for a file that matches ``/input/\*.pdf`` and will
convert it to a OCRed PDF in ``/output/``. The parameters to this image are:
.. csv-table:: watcher.py parameters for Docker
:header: "Parameter", "Description"
:widths: 50, 50
"``-v <path to files to convert>:/input``", "Files placed in this location will be OCRed"
"``-v <path to store results>:/output``", "This is where OCRed files will be stored"
"``-e OCR_OUTPUT_DIRECTORY_YEAR_MONTH=1``", "Define environment variable OCR_OUTPUT_DIRECTORY_YEAR_MONTH=1"
"``-e OCR_ON_SUCCESS_DELETE=1``", "Define environment variable"
"``-e OCR_DESKEW=1``", "Define environment variable"
"``-e PYTHONBUFFERED=1``", "This will force STDOUT to be unbuffered and allow you to see messages in docker logs"
This service relies on polling to check for changes to the filesystem. It
may not be suitable for some environments, such as filesystems shared on a
slow network.
A configuration manager such as Docker Compose could be used to ensure that the
service is always available.
.. literalinclude:: ../misc/docker-compose.example.yml
:language: yaml
:caption: misc/docker-compose.example.yml
Caveats
-------
- ``watchmedo`` may not work properly on a networked file system,
depending on the capabilities of the file system client and server.
- This simple recipe does not filter for the type of file system event,
so file copies, deletes and moves, and directory operations, will all
be sent to ocrmypdf, producing errors in several cases. Disable your
watched folder if you are doing anything other than copying files to
it.
- If the source and destination directory are the same, watchmedo may
create an infinite loop.
- On BSD, FreeBSD and older versions of macOS, you may need to increase
the number of file descriptors to monitor more files, using
``ulimit -n 1024`` to watch a folder of up to 1024 files.
Alternatives
------------
- On Linux, `systemd user services <https://wiki.archlinux.org/index.php/Systemd/User>`__
can be configured to automatically perform OCR on a collection of files.
- `Watchman <https://facebook.github.io/watchman/>`__ is a more
powerful alternative to ``watchmedo``.
AWS Lambda is not viable
------------------------
AWS Lambda and its equivalents have low limits on execution time and payload
size, relative to OCRmyPDF's needs. As of this writing, the request/response
payload for AWS Lambda was 6 MB, which means many PDFs will not fit.
macOS Automator
===============
You can use the Automator app with macOS, to create a Workflow or Quick
Action. Use a *Run Shell Script* action in your workflow. In the context
of Automator, the ``PATH`` may be set differently your Terminal's
``PATH``; you may need to explicitly set the PATH to include
``ocrmypdf``. The following example may serve as a starting point:
.. figure:: images/macos-workflow.png
:alt: Example macOS Automator workflow
You may customize the command sent to ocrmypdf.
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#!/usr/bin/env python3
#
# 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('.'))
"""isort:skip_file"""
# -- General configuration ------------------------------------------------
# If your documentation needs a minimal Sphinx version, state it here.
#
# needs_sphinx = '1.0'
# Add any Sphinx extension module names here, as strings. They can be
# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
# ones.
extensions = ['sphinx.ext.napoleon']
napoleon_use_rtype = False
# 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 = (
'2020, James R. Barlow. Licensed under Creative Commons Attribution-ShareAlike 4.0.'
)
author = 'James R. Barlow'
# The version info for the project you're documenting, acts as replacement for
# |version| and |release|, also used in various other places throughout the
# built documents.
#
# The short X.Y version.
import os
on_rtd = os.environ.get('READTHEDOCS') == 'True'
if on_rtd:
# Help ReadTheDocs avoid having to install any binary extension modules
import sys
from unittest.mock import MagicMock
class Mock(MagicMock):
@classmethod
def __getattr__(cls, name):
return MagicMock()
MOCK_MODULES = [
'pikepdf',
'pikepdf.models',
'pikepdf.models.metadata',
'ocrmypdf.leptonica',
]
sys.modules.update((mod_name, Mock()) for mod_name in MOCK_MODULES)
from pkg_resources import get_distribution, DistributionNotFound
# The full version, including alpha/beta/rc tags.
release = get_distribution('ocrmypdf').version
version = '.'.join(release.split('.')[:2])
# The language for content autogenerated by Sphinx. Refer to documentation
# for a list of supported languages.
#
# This is also used if you do content translation via gettext catalogs.
# Usually you set "language" from the command line for these cases.
language = None
# There are two options for replacing |today|: either, you set today to some
# non-false value, then it is used:
#
# today = ''
#
# Else, today_fmt is used as the format for a strftime call.
#
today_fmt = '%Y-%m-%d'
# List of patterns, relative to source directory, that match files and
# directories to ignore when looking for source files.
# This patterns also effect to html_static_path and html_extra_path
exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store']
# The reST default role (used for this markup: `text`) to use for all
# documents.
#
# default_role = None
# If true, '()' will be appended to :func: etc. cross-reference text.
#
# add_function_parentheses = True
# If true, the current module name will be prepended to all description
# unit titles (such as .. function::).
#
# add_module_names = True
# If true, sectionauthor and moduleauthor directives will be shown in the
# output. They are ignored by default.
#
# show_authors = False
# The name of the Pygments (syntax highlighting) style to use.
pygments_style = 'sphinx'
# A list of ignored prefixes for module index sorting.
# modindex_common_prefix = []
# If true, keep warnings as "system message" paragraphs in the built documents.
# keep_warnings = False
# If true, `todo` and `todoList` produce output, else they produce nothing.
todo_include_todos = False
# -- Options for HTML output ----------------------------------------------
import sphinx_rtd_theme
# The theme to use for HTML and HTML Help pages. See the documentation for
# a list of builtin themes.
#
html_theme = 'sphinx_rtd_theme'
html_theme_path = [sphinx_rtd_theme.get_html_theme_path()]
# Theme options are theme-specific and customize the look and feel of a theme
# further. For a list of options available for each theme, see the
# documentation.
#
html_theme_options = {'display_version': False}
# Add any paths that contain custom themes here, relative to this directory.
# html_theme_path = []
# The name for this set of Sphinx documents.
# "<project> v<release> documentation" by default.
#
# html_title = 'ocrmypdf v4.2'
# A shorter title for the navigation bar. Default is the same as html_title.
#
# html_short_title = None
# The name of an image file (relative to this directory) to place at the top
# of the sidebar.
#
# html_logo = "images/logo.svg" # looks bad
# 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
-57
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=======================
Contributing guidelines
=======================
Contributions are welcome!
Big changes
===========
Please open a new issue to discuss or propose a major change. Not only is it fun
to discuss big ideas, but we might save each other's time too. Perhaps some of the
work you're contemplating is already half-done in a development branch.
Code style
==========
We use PEP8, ``black`` for code formatting and ``isort`` for import sorting. The
settings for these programs are in ``pyproject.toml`` and ``setup.cfg``. Pull
requests should follow the style guide. One difference we use from "black" style
is that strings shown to the user are always in double quotes (``"``) and strings
for internal uses are in single quotes (``'``).
Tests
=====
New features should come with tests that confirm their correctness.
New Python dependencies
=======================
If you are proposing a change that will require a new Python dependency, we
prefer dependencies that are already packaged by Debian or Red Hat. This makes
life much easier for our downstream package maintainers.
Python dependencies must also be GPLv3 compatible.
New non-Python dependencies
===========================
OCRmyPDF uses several external programs (Tesseract, Ghostscript and others) for
its functionality. In general we prefer to avoid adding new external programs.
Style guide: Is it OCRmyPDF or ocrmypdf?
========================================
The program/project is OCRmyPDF and the name of the executable or library is ocrmypdf.
Known ports/packagers
=====================
OCRmyPDF has been ported to many platforms already. If you are interesting in
porting to a new platform, check with
`Repology <https://repology.org/projects/?search=ocrmypdf>`__ to see the status
of that platform.
Packager maintainers, please ensure that the command line completion scripts in
``misc/`` are installed.
-359
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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. The threshold number is the ratio
of how confidence the OCR engine is that the document image should be changed,
compared to kept the same. A value of ``15.0`` is the default, and is fairly
conservative. A value of ``2.0`` will produce more rotations, and more false
positives.
If the page is "just a little off horizontal", like a crooked picture,
then you want ``--deskew``. ``--rotate-pages`` is for when the cardinal
angle is wrong.
OCR languages other than English
--------------------------------
OCRmyPDF assumes the document is in English unless told otherwise. OCR
quality may be poor if the wrong language is used.
.. code-block:: bash
ocrmypdf -l fra LeParisien.pdf LeParisien.pdf
ocrmypdf -l eng+fra Bilingual-English-French.pdf Bilingual-English-French.pdf
Language packs must be installed for all languages specified. See
:ref:`Installing additional language packs <lang-packs>`.
Unfortunately, the Tesseract OCR engine has no ability to detect the
language when it is unknown.
Produce PDF and text file containing OCR text
---------------------------------------------
This produces a file named "output.pdf" and a companion text file named
"output.txt".
.. code-block:: bash
ocrmypdf --sidecar output.txt input.pdf output.pdf
.. note::
The sidecar file contains the **OCR text** found by OCRmyPDF. If the document
contains pages that already have text, that text will not appear in the
sidecar. If the option ``--pages`` is used, only those pages on which OCR
was performed will be included in the sidecar. If certain pages were skipped
because of options like ``--skip-big`` or ``--tesseract-timeout``, those pages
will not be in the sidecar.
To extract all text from a PDF, whether generated from OCR or otherwise,
use a program like Poppler's ``pdftotext`` or ``pdfgrep``.
OCR images, not PDFs
--------------------
Option: use Tesseract
~~~~~~~~~~~~~~~~~~~~~
If you are starting with images, you can just use Tesseract directly to
convert images to PDFs:
.. code-block:: bash
tesseract my-image.jpg output-prefix pdf
.. code-block:: bash
# When there are multiple images
tesseract text-file-containing-list-of-image-filenames.txt output-prefix pdf
Tesseract's PDF output is quite good  OCRmyPDF uses it internally, in
some cases. However, OCRmyPDF has many features not available in
Tesseract like image processing, metadata control, and PDF/A generation.
Option: use img2pdf
~~~~~~~~~~~~~~~~~~~
You can also use a program like
`img2pdf <https://gitlab.mister-muffin.de/josch/img2pdf>`__ to convert
your images to PDFs, and then pipe the results to run ocrmypdf. The
``-`` tells ocrmypdf to read standard input.
.. code-block:: bash
img2pdf my-images*.jpg | ocrmypdf - myfile.pdf
``img2pdf`` is recommended because it does an excellent job at
generating PDFs without transcoding images.
Option: use OCRmyPDF (single images only)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
For convenience, OCRmyPDF can also convert single images to PDFs on its
own. If the resolution (dots per inch, DPI) of an image is not set or is
incorrect, it can be overridden with ``--image-dpi``. (As 1 inch is 2.54
cm, 1 dpi = 0.39 dpcm).
.. code-block:: bash
ocrmypdf --image-dpi 300 image.png myfile.pdf
If you have multiple images, you must use ``img2pdf`` to convert the
images to PDF.
Not recommended
~~~~~~~~~~~~~~~
We caution against using ImageMagick or Ghostscript to convert images to
PDF, since they may transcode images or produce downsampled images,
sometimes without warning.
Image processing
================
OCRmyPDF perform some image processing on each page of a PDF, if
desired. The same processing is applied to each page. It is suggested
that the user review files after image processing as these commands
might remove desirable content, especially from poor quality scans.
- ``--rotate-pages`` attempts to determine the correct orientation for
each page and rotates the page if necessary.
- ``--remove-background`` attempts to detect and remove a noisy
background from grayscale or color images. Monochrome images are
ignored. This should not be used on documents that contain color
photos as it may remove them.
- ``--deskew`` will correct pages were scanned at a skewed angle by
rotating them back into place. Skew determination and correction is
performed using `Postl's variance of line
sums <http://www.leptonica.org/skew-measurement.html>`__ algorithm as
implemented in `Leptonica <http://www.leptonica.org/index.html>`__.
- ``--clean`` uses
`unpaper <https://www.flameeyes.eu/projects/unpaper>`__ to clean up
pages before OCR, but does not alter the final output. This makes it
less likely that OCR will try to find text in background noise.
- ``--clean-final`` uses unpaper to clean up pages before OCR and
inserts the page into the final output. You will want to review each
page to ensure that unpaper did not remove something important.
.. note::
In many cases image processing will rasterize PDF pages as images,
potentially losing quality.
.. warning::
``--clean-final`` and ``-remove-background`` may leave undesirable
visual artifacts in some images where their algorithms have
shortcomings. Files should be visually reviewed after using these
options.
Example: OCR and correct document skew (crooked scan)
-----------------------------------------------------
Deskew:
.. code-block:: bash
ocrmypdf --deskew input.pdf output.pdf
Image processing commands can be combined. The order in which options
are given does not matter. OCRmyPDF always applies the steps of the
image processing pipeline in the same order (rotate, remove background,
deskew, clean).
.. code-block:: bash
ocrmypdf --deskew --clean --rotate-pages input.pdf output.pdf
Don't actually OCR my PDF
=========================
If you set ``--tesseract-timeout 0`` OCRmyPDF will apply its image
processing without performing OCR, if all you want to is to apply image
processing or PDF/A conversion.
.. code-block:: bash
ocrmypdf --tesseract-timeout=0 --remove-background input.pdf output.pdf
Optimize images without performing OCR
--------------------------------------
You can also optimize all images without performing any OCR:
.. code-block:: bash
ocrmypdf --tesseract-timeout=0 --optimize 3 --skip-text input.pdf output.pdf
Perform OCR only certain pages
------------------------------
You can ask OCRmyPDF to only apply OCR to certain pages.
.. code-block:: bash
ocrmypdf --pages 2,3,13-17 input.pdf output.pdf
Hyphens denote a range of pages and commas separate page numbers. If you prefer
to use spaces, quote all of the page numbers: ``--pages '2, 3, 5, 7'``.
OCRmyPDF will warn if your list of page numbers contains duplicates or
overlap pages. OCRmyPDF does not currently account for document page numbers,
such as an introduction section of a book that uses Roman numerals. It simply
counts the number of virtual pieces of paper since the start.
Regardless of the argument to ``--pages``, OCRmyPDF will optimize all pages in
the file and convert it to PDF/A, unless you disable those options. In this
example, we want to OCR only the title and otherwise change the PDF as little
as possible:
.. code-block:: bash
ocrmypdf --pages 1 --output-type pdf --optimize 0 input.pdf output.pdf
Redo existing OCR
=================
To redo OCR on a file OCRed with other OCR software or a previous
version of OCRmyPDF and/or Tesseract, you may use the ``--redo-ocr``
argument. (Normally, OCRmyPDF will exit with an error if asked to modify
a file with OCR.)
This may be helpful for users who want to take advantage of accuracy
improvements in Tesseract 4.0 for files they previously OCRed with an
earlier version of Tesseract and OCRmyPDF.
.. code-block:: bash
ocrmypdf --redo-ocr input.pdf output.pdf
This method will replace OCR without rasterizing, reducing quality or
removing vector content. If a file contains a mix of pure digital text
and OCR, digital text will be ignored and OCR will be replaced. As such
this mode is incompatible with image processing options, since they
alter the appearance of the file.
In some cases, existing OCR cannot be detected or replaced. Files
produced by OCRmyPDF v2.2 or earlier, for example, are internally
represented as having visible text with an opaque image drawn on top.
This situation cannot be detected.
If ``--redo-ocr`` does not work, you can use ``--force-ocr``, which will
force rasterization of all pages, potentially reducing quality or losing
vector content.
Improving OCR quality
=====================
The `Image processing <#image-processing>`__ features can improve OCR
quality.
Rotating pages and deskewing helps to ensure that the page orientation
is correct before OCR begins. Removing the background and/or cleaning
the page can also improve results. The ``--oversample DPI`` argument can
be specified to resample images to higher resolution before attempting
OCR; this can improve results as well.
OCR quality will suffer if the resolution of input images is not correct
(since the range of pixel sizes that will be checked for possible fonts
will also be incorrect).
PDF optimization
================
By default OCRmyPDF will attempt to perform lossless optimizations on
the images inside PDFs after OCR is complete. Optimization is performed
even if no OCR text is found.
The ``--optimize N`` (short form ``-O``) argument controls optimization,
where ``N`` ranges from 0 to 3 inclusive, analogous to the optimization
levels in the GCC compiler.
.. list-table::
:widths: auto
:header-rows: 1
* - Level
- Comments
* - ``--optimize 0``
- Disables optimization.
* - ``--optimize 1``
- Enables lossless optimizations, such as transcoding images to more
efficient formats. Also compress other uncompressed objects in the
PDF and enables the more efficient "object streams" within the PDF.
* - ``--optimize 2``
- All of the above, and enables lossy optimizations and color quantization.
* - ``--optimize 3``
- All of the above, and enables more aggressive optimizations and targets lower image quality.
Optimization is improved when a JBIG2 encoder is available and when
``pngquant`` is installed. If either of these components are missing,
then some types of images cannot be optimized.
The types of optimization available may expand over time. By default,
OCRmyPDF compresses data streams inside PDFs, and will change
inefficient compression modes to more modern versions. A program like
``qpdf`` can be used to change encodings, e.g. to inspect the internals
fo a PDF.
.. code-block:: bash
ocrmypdf --optimize 3 in.pdf out.pdf # Make it small
Some users may consider enabling lossy JBIG2. See: :ref:`jbig2-lossy`.
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=====================
OCRmyPDF Docker image
=====================
OCRmyPDF is also available in a Docker image that packages recent
versions of all dependencies.
For users who already have Docker installed this may be an easy and
convenient option. However, it is less performant than a system
installation and may require Docker engine configuration.
OCRmyPDF needs a generous amount of RAM, CPU cores, temporary storage
space, whether running in a Docker container or on its own. It may be
necessary to ensure the container is provisioned with additional
resources.
.. _docker-install:
Installing the Docker image
===========================
If you have `Docker <https://docs.docker.com/>`__ installed on your
system, you can install a Docker image of the latest release.
If you can run this command successfully, your system is ready to download and
execute the image:
.. code-block:: bash
docker run hello-world
The recommended OCRmyPDF Docker image is currently named ``ocrmypdf``:
.. code-block:: bash
docker pull jbarlow83/ocrmypdf
OCRmyPDF will use all available CPU cores. By default, the VirtualBox
machine instance on Windows and macOS has only a single CPU core
enabled. Use the VirtualBox Manager to determine the name of your Docker
engine host, and then follow these optional steps to enable multiple
CPUs:
.. code-block:: bash
# Optional step for Mac OS X users
docker-machine stop "yourVM"
VBoxManage modifyvm "yourVM" --cpus 2 # or whatever number of core is desired
docker-machine start "yourVM"
eval $(docker-machine env "yourVM")
See the Docker documentation for
`adjusting memory and CPU on other platforms <https://docs.docker.com/config/containers/resource_constraints/>`__.
Using the Docker image on the command line
==========================================
**Unlike typical Docker containers**, in this section the OCRmyPDF Docker
container is emphemeral it runs for one OCR job and terminates, just like a
command line program. We are using Docker to deliver an application (as opposed
to the more conventional case, where a Docker container runs as a server).
To start a Docker container (instance of the image):
.. code-block:: bash
docker tag jbarlow83/ocrmypdf ocrmypdf
docker run --rm -i ocrmypdf (... all other arguments here...) - -
For convenience, create a shell alias to hide the Docker command. It is
easier to send the input file as stdin and read the output from
stdout **this avoids the messy permission issues with Docker entirely**.
.. code-block:: bash
alias docker_ocrmypdf='docker run --rm -i ocrmypdf'
docker_ocrmypdf --version # runs docker version
docker_ocrmypdf - - <input.pdf >output.pdf
Or in the wonderful `fish shell <https://fishshell.com/>`__:
.. code-block:: fish
alias docker_ocrmypdf 'docker run --rm ocrmypdf'
funcsave docker_ocrmypdf
Alternately, you could mount the local current working directory as a
Docker volume:
.. code-block:: bash
alias docker_ocrmypdf='docker run --rm -i --user "$(id -u):$(id -g)" --workdir /data -v "$PWD:/data" ocrmypdf'
docker_ocrmypdf /data/input.pdf /data/output.pdf
.. _docker-lang-packs:
Adding languages to the Docker image
====================================
By default the Docker image includes English, German, Simplified Chinese,
French, Portuguese and Spanish, the most popular languages for OCRmyPDF
users based on feedback. You may add other languages by creating a new
Dockerfile based on the public one:
.. code-block:: dockerfile
FROM jbarlow83/ocrmypdf
# Add French
RUN apt install tesseract-ocr-fra
You can also copy training data to ``/usr/share/tesseract-ocr/<tesseract version>/tessdata``.
Executing the test suite
========================
The OCRmyPDF test suite is installed with image. To run it:
.. code-block:: bash
docker run --entrypoint python3 jbarlow83/ocrmypdf -m pytest
Accessing the shell
===================
To use the bash shell in the Docker image:
.. code-block:: bash
docker run -it --entrypoint bash jbarlow83/ocrmypdf
Using the OCRmyPDF web service wrapper
======================================
The OCRmyPDF Docker image includes an example, barebones HTTP web
service. The webservice may be launched as follows:
.. code-block:: bash
docker run --entrypoint python3 -p 5000:5000 jbarlow83/ocrmypdf webservice.py
This will configure the machine to listen on port 5000. On Linux machines
this is port 5000 of localhost. On macOS or Windows machines running
Docker, this is port 5000 of the virtual machine that runs your Docker
images. You can find its IP address using the command ``docker-machine ip``.
Unlike command line usage this program will open a socket and wait for
connections.
.. warning::
The OCRmyPDF web service wrapper is intended for demonstration or
development. It provides no security, no authentication, no
protection against denial of service attacks, and no load balancing.
The default Flask WSGI server is used, which is intended for
development only. The server is single-threaded and so can respond to
only one client at a time. While running OCR, it cannot respond to
any other clients.
Clients must keep their open connection while waiting for OCR to
complete. This may entail setting a long timeout; this interface is more
useful for internal HTTP API calls.
Unlike the rest of OCRmyPDF, this web service is licensed under the
Affero GPLv3 (AGPLv3) since Ghostscript, a dependency of OCRmyPDF, is
also licensed in this way.
In addition to the above, please read our
:ref:`general remarks on using OCRmyPDF as a service <ocr-service>`.
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=====================
Common error messages
=====================
Page already has text
=====================
.. code-block::
ERROR - 1: page already has text! aborting (use --force-ocr to force OCR)
You ran ocrmypdf on a file that already contains printable text or a
hidden OCR text layer (it can't quite tell the difference). You probably
don't want to do this, because the file is already searchable.
As the error message suggests, your options are:
- ``ocrmypdf --force-ocr`` to :ref:`rasterize <raster-vector>` all
vector content and run OCR on the images. This is useful if a
previous OCR program failed, or if the document contains a text
watermark.
- ``ocrmypdf --skip-text`` to skip OCR and other processing on any
pages that contain text. Text pages will be copied into the output
PDF without modification.
- ``ocrmypdf --redo-ocr`` to scan the file for any existing OCR
(non-printing text), remove it, and do OCR again. This is one way
to take advantage of improvements in OCR accuracy. Printable vector
text is excluded from OCR, so this can be used on files that contain
a mix of digital and scanned files.
Input file 'filename' is not a valid PDF
========================================
OCRmyPDF checks files with pikepdf, a library that in turn uses libqpdf to fixes
errors in PDFs, before it tries to work on them. In most cases this happens
because the PDF is corrupt and truncated (incomplete file copying) and not much
can be done.
You can try rewriting the file with Ghostscript:
.. code-block:: bash
gs -o output.pdf -dSAFER -sDEVICE=pdfwrite input.pdf
``pdftk`` can also rewrite PDFs:
.. code-block:: bash
pdftk input.pdf cat output output.pdf
Sometimes Acrobat can repair PDFs with its `Preflight
tool <https://helpx.adobe.com/acrobat/using/correcting-problem-areas-preflight-tool.html>`__.
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<?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">
<defs>
<linearGradient id="b" y2="445" gradientUnits="userSpaceOnUse" y1="179" gradientTransform="translate(0 -2.06)" x2="-29.7" x1="322">
<stop stop-color="#333" offset="0"/>
<stop stop-color="#fff" stop-opacity="0" offset="1"/>
</linearGradient>
<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>
<path fill="url(#b)" d="m403 247c-12 115-135 122-368 123-4.3-1.07-7.32-7.33-6-41 76-37 151-124 167-236 93 123 201 40.9 207 154z"/>
<g stroke-width="3.45" fill="none">
<path stroke="#000" d="m11.8 11.8h411v411l-411 0.01v-411z"/>
<path stroke="#448" d="m489 11.7h415v411h-415v-411z"/>
</g>
<path d="m876 244c-12 115-133 120-366 121-6-14-10-40-3-43 76-37.3 136-106 152-218 38 48 209 101 217 140z" fill="url(#a)"/>
<g id="RasterLarge" transform="matrix(1.36 0 0 1.28 -161 -636)">
<path fill="#999" d="m287 730h-30v-60h20v20h10v10h10v10h20v10h40v-10h20v-20h10v-20h-10v-10h-10v-10h-40v-10h-30v-10h-20v-10h-10v-10h-10v-60h10v-10h10v-10h10v-10h90v10h30v60h-20v-10h-10v-20h-10v-10h-20v-10h-30v10h-20v10h-10v20h10v20h30v10h30v10h30v10h10v10h10v10h10v60h-10v10h-10v10h-10v10h-100v-10z"/>
<path fill="#555" d="m297 730h-30v-10h-10v-50h20v20h10v20h10 10v10h60v-10h10v-10h10v-40h-20v-10h-20v-10h-40v-10h-20v-10h-20v-20h-10v-50h10v-10h10v-10h20v-10h70v10h30v10h10v50h-20v-20h-10v-20h-20v-10h-50v10h-10v10h-10v30h10v10h20v10h30v10h30v10h20v10h10v10h10v50h-10v20h-10v10h-20v10h-80z"/>
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OCRmyPDF documentation
======================
OCRmyPDF adds an optical charcter recognition (OCR) text layer to scanned PDF
files, allowing them to be searched.
PDF is the best format for storing and exchanging scanned documents.
Unfortunately, PDFs can be difficult to modify. OCRmyPDF makes it easy to apply
image processing and OCR to existing PDFs.
.. toctree::
:maxdepth: 1
introduction
release_notes
installation
optimizer
languages
jbig2
.. toctree::
:caption: Usage
:maxdepth: 2
cookbook
docker
advanced
batch
performance
pdfsecurity
errors
.. toctree::
:caption: Developers
:maxdepth: 2
api
plugins
apiref
contributing
Indices and tables
==================
* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`
-802
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===================
Installing OCRmyPDF
===================
.. |latest| image:: https://img.shields.io/pypi/v/ocrmypdf.svg
:alt: OCRmyPDF latest released version on PyPI
|latest|
The easiest way to install OCRmyPDF is to follow the steps for your operating
system/platform. This version may be out of date, however.
These platforms have one-liner installs:
+-----------------------------+-------------------------------+
| Debian, Ubuntu | ``apt install ocrmypdf`` |
+-----------------------------+-------------------------------+
| Windows Subsystem for Linux | ``apt install ocrmypdf`` |
+-----------------------------+-------------------------------+
| Fedora | ``dnf install ocrmypdf`` |
+-----------------------------+-------------------------------+
| macOS | ``brew install ocrmypdf`` |
+-----------------------------+-------------------------------+
| LinuxBrew | ``brew install ocrmypdf`` |
+-----------------------------+-------------------------------+
| FreeBSD | ``pkg install py37-ocrmypdf`` |
+-----------------------------+-------------------------------+
More detailed procedures are outlined below. If you want to do a manual
install, or install a more recent version than your platform provides, read on.
.. contents:: Platform-specific steps
:depth: 2
:local:
Installing on Linux
===================
Debian and Ubuntu 18.04 or newer
--------------------------------
.. |deb-stable| image:: https://repology.org/badge/version-for-repo/debian_stable/ocrmypdf.svg
:alt: Debian 9 stable ("stretch")
.. |deb-testing| image:: https://repology.org/badge/version-for-repo/debian_testing/ocrmypdf.svg
:alt: Debian 10 testing ("buster")
.. |deb-unstable| image:: https://repology.org/badge/version-for-repo/debian_unstable/ocrmypdf.svg
:alt: Debian unstable
.. |ubu-1804| image:: https://repology.org/badge/version-for-repo/ubuntu_18_04/ocrmypdf.svg
:alt: Ubuntu 18.04 LTS
.. |ubu-2004| image:: https://repology.org/badge/version-for-repo/ubuntu_20_04/ocrmypdf.svg
:alt: Ubuntu 20.04 LTS
+-----------------------------------------------+
| **OCRmyPDF versions in Debian & Ubuntu** |
+-----------------------------------------------+
| |latest| |
+-----------------------------------------------+
| |deb-stable| |deb-testing| |deb-unstable| |
+-----------------------------------------------+
| |ubu-1804| |ubu-2004| |
+-----------------------------------------------+
Users of Debian 9 ("stretch") or later, or Ubuntu 18.04 or later, including users
of Windows Subsystem for Linux, may simply
.. code-block:: bash
apt-get install ocrmypdf
As indicated in the table above, Debian and Ubuntu releases may lag
behind the latest version. If the version available for your platform is
out of date, you could opt to install the latest version from source.
See `Installing HEAD revision from
sources <#installing-head-revision-from-sources>`__. Ubuntu 16.10 to 17.10
inclusive also had ocrmypdf, but these versions are end of life.
For full details on version availability for your platform, check the
`Debian Package Tracker <https://tracker.debian.org/pkg/ocrmypdf>`__ or
`Ubuntu launchpad.net <https://launchpad.net/ocrmypdf>`__.
.. note::
OCRmyPDF for Debian and Ubuntu currently omit the JBIG2 encoder.
OCRmyPDF works fine without it but will produce larger output files.
If you build jbig2enc from source, ocrmypdf 7.0.0 and later will
automatically detect it (specifically the ``jbig2`` binary) on the
``PATH``. To add JBIG2 encoding, see :ref:`jbig2`.
Fedora 29 or newer
------------------
.. |fedora-31| image:: https://repology.org/badge/version-for-repo/fedora_31/ocrmypdf.svg
:alt: Fedora 31
.. |fedora-32| image:: https://repology.org/badge/version-for-repo/fedora_32/ocrmypdf.svg
:alt: Fedora 32
.. |fedora-rawhide| image:: https://repology.org/badge/version-for-repo/fedora_rawhide/ocrmypdf.svg
:alt: Fedore Rawhide
+-----------------------------------------------+
| **OCRmyPDF version** |
+-----------------------------------------------+
| |latest| |
+-----------------------------------------------+
| |fedora-31| |fedora-32| |fedora-rawhide| |
+-----------------------------------------------+
Users of Fedora 29 or later may simply
.. code-block:: bash
dnf install ocrmypdf
For full details on version availability, check the `Fedora Package
Tracker <https://apps.fedoraproject.org/packages/ocrmypdf>`__.
If the version available for your platform is out of date, you could opt
to install the latest version from source. See `Installing HEAD revision
from sources <#installing-head-revision-from-sources>`__.
.. note::
OCRmyPDF for Fedora currently omits the JBIG2 encoder due to patent
issues. OCRmyPDF works fine without it but will produce larger output
files. If you build jbig2enc from source, ocrmypdf 7.0.0 and later
will automatically detect it on the ``PATH``. To add JBIG2 encoding,
see `Installing the JBIG2 encoder <jbig2>`__.
.. _ubuntu-lts-latest:
Installing the latest version on Ubuntu 20.04 LTS
-------------------------------------------------
Ubuntu 20.04 includes ocrmypdf 9.6.0 - you can install that with ``apt``. To
install a more recent version, uninstall the system-provided version of
ocrmypdf, and install the following dependencies:
.. code-block:: bash
sudo apt-get -y remove ocrmypdf # remove system ocrmypdf, if installed
sudo apt-get -y update
sudo apt-get -y install \
ghostscript \
icc-profiles-free \
liblept5 \
libxml2 \
pngquant \
python3-pip \
tesseract-ocr \
zlib1g
To install ocrmypdf for the system:
.. code-block:: bash
sudo pip3 install ocrmypdf
To install for the current user only:
.. code-block:: bash
export PATH=$HOME/.local/bin:$PATH
pip3 install --user ocrmypdf
Ubuntu 18.04 LTS
----------------
Ubuntu 18.04 includes ocrmypdf 6.1.2 - you can install that with ``apt``, but
it is quite old now. To install a more recent version, uninstall the old version
of ocrmypdf, and install the following dependencies:
.. code-block:: bash
sudo apt-get -y remove ocrmypdf
sudo apt-get -y update
sudo apt-get -y install \
ghostscript \
icc-profiles-free \
liblept5 \
libxml2 \
pngquant \
python3-cffi \
python3-distutils \
python3-pkg-resources \
python3-reportlab \
qpdf \
tesseract-ocr \
zlib1g
We will need a newer version of ``pip`` then was available for Ubuntu 18.04:
.. code-block:: bash
wget https://bootstrap.pypa.io/get-pip.py && python3 get-pip.py
Then install the most recent ocrmypdf for the local user and set the
user's ``PATH`` to check for the user's Python packages.
.. code-block:: bash
export PATH=$HOME/.local/bin:$PATH
python3 -m pip install --user ocrmypdf
To add JBIG2 encoding, see :ref:`jbig2`.
Ubuntu 16.04 LTS
----------------
No package is available for Ubuntu 16.04. OCRmyPDF 8.0 and newer require
Python 3.6. Ubuntu 16.04 ships Python 3.5, but you can install Python
3.6 on it. Or, you can skip Python 3.6 and install OCRmyPDF 7.x or older
- for that procedure, please see the installation documentation for the
version of OCRmyPDF you plan to use.
**Install system packages for OCRmyPDF**
.. code-block:: bash
sudo apt-get update
sudo apt-get install -y software-properties-common python-software-properties
sudo add-apt-repository -y \
ppa:jonathonf/python-3.6 \
ppa:alex-p/tesseract-ocr
sudo apt-get update
sudo apt-get install -y \
ghostscript \
libexempi3 \
libffi6 \
pngquant \
python3.6 \
qpdf \
tesseract-ocr \
unpaper
This will install a Python 3.6 binary at ``/usr/bin/python3.6``
alongside the system's Python 3.5. Do not remove the system Python. This
will also install Tesseract 4.0 from a PPA, since the version available
in Ubuntu 16.04 is too old for OCRmyPDF.
Now install pip for Python 3.6. This will install the Python 3.6 version
of ``pip`` at ``/usr/local/bin/pip``.
.. code-block:: bash
curl https://bootstrap.pypa.io/get-pip.py | sudo python3.6
**Install OCRmyPDF**
OCRmyPDF requires the locale to be set for UTF-8. **On some minimal
Ubuntu installations**, such as the Ubuntu 16.04 Docker images it may be
necessary to set the locale.
.. code-block:: bash
# Optional: Only need to set these if they are not already set
export LC_ALL=C.UTF-8
export LANG=C.UTF-8
Now install OCRmyPDF for the current user, and ensure that the ``PATH``
environment variable contains ``$HOME/.local/bin``.
.. code-block:: bash
export PATH=$HOME/.local/bin:$PATH
pip3.6 install --user ocrmypdf
To add JBIG2 encoding, see :ref:`jbig2`.
Arch Linux (AUR)
----------------
.. image:: https://repology.org/badge/version-for-repo/aur/ocrmypdf.svg
:alt: ArchLinux
:target: https://repology.org/metapackage/ocrmypdf
There is an `Arch User Repository (AUR) package for OCRmyPDF
<https://aur.archlinux.org/packages/ocrmypdf/>`__.
Installing AUR packages as root is not allowed, so you must first `setup a
non-root user
<https://wiki.archlinux.org/index.php/Users_and_groups#User_management>`__ and
`configure sudo <https://wiki.archlinux.org/index.php/Sudo#Configuration>`__.
The standard Docker image, ``archlinux/base:latest``, does **not** have a
non-root user configured, so users of that image must follow these guides. If
you are using a VM image, such as `the official Vagrant image
<https://app.vagrantup.com/archlinux/boxes/archlinux>`__, this work may already
be completed for you.
Next you should install the `base-devel package group
<https://www.archlinux.org/groups/x86_64/base-devel/>`__. This includes the
standard tooling needed to build packages, such as a compiler and binary tools.
.. code-block:: bash
sudo pacman -S base-devel
Now you are ready to install the OCRmyPDF package.
.. code-block:: bash
curl -O https://aur.archlinux.org/cgit/aur.git/snapshot/ocrmypdf.tar.gz
tar xvzf ocrmypdf.tar.gz
cd ocrmypdf
makepkg -sri
At this point you will have a working install of OCRmyPDF, but the Tesseract
install wont include any OCR language data. You can install `the
tesseract-data package group
<https://www.archlinux.org/groups/any/tesseract-data/>`__ to add all supported
languages, or use that package listing to identify the appropriate package for
your desired language.
.. code-block:: bash
sudo pacman -S tesseract-data-eng
As an alternative to this manual procedure, consider using an `AUR helper
<https://wiki.archlinux.org/index.php/AUR_helpers>`__. Such a tool will
automatically fetch, build and install the AUR package, resolve dependencies
(including dependencies on AUR packages), and ease the upgrade procedure.
If you have any difficulties with installation, check the repository package
page.
.. note::
The OCRmyPDF AUR package currently omits the JBIG2 encoder. OCRmyPDF works
fine without it but will produce larger output files. The encoder is
available from `the jbig2enc-git AUR package
<https://aur.archlinux.org/packages/jbig2enc-git/>`__ and may be installed
using the same series of steps as for the installation OCRmyPDF AUR
package. Alternatively, it may be built manually from source following the
instructions in `Installing the JBIG2 encoder <jbig2>`__. If JBIG2 is
installed, OCRmyPDF 7.0.0 and later will automatically detect it.
Alpine Linux
------------
.. image:: https://repology.org/badge/version-for-repo/alpine_edge/ocrmypdf.svg
:alt: Alpine Linux
:target: https://repology.org/metapackage/ocrmypdf
To install OCRmyPDF for Alpine Linux:
.. code-block:: bash
apk add ocrmypdf
Mageia 7
--------
Install the following dependencies:
.. code-block:: bash
# As root user
urpmi.update -a
urpmi \
ghostscript \
icc-profiles-openicc \
jbig2dec \
lib64leptonica5 \
pngquant \
python3-pip \
python3-cffi \
python3-distutils-extra \
python3-pkg-resources \
python3-reportlab \
qpdf \
tesseract \
tesseract-osd \
tesseract-eng \
tesseract-fra
To install ocrmypdf for the system:
# As root user
pip3 install ocrmypdf
ldconfig
Or, to install for the current user only:
export PATH=$HOME/.local/bin:$PATH
pip3 install --user ocrmypdf
Other Linux packages
--------------------
See the
`Repology <https://repology.org/metapackage/ocrmypdf/versions>`__ page.
In general, first install the OCRmyPDF package for your system, then
optionally use the procedure `Installing with Python
pip <#installing-with-python-pip>`__ to install a more recent version.
Installing on macOS
===================
Homebrew
--------
.. image:: https://img.shields.io/homebrew/v/ocrmypdf.svg
:alt: homebrew
:target: http://brewformulas.org/Ocrmypdf
OCRmyPDF is now a standard `Homebrew <https://brew.sh>`__ formula. To
install on macOS:
.. code-block:: bash
brew install ocrmypdf
This will include only the English language pack. If you need other
languages you can optionally install them all:
.. code-block:: bash
brew install tesseract-lang # Optional: Install all language packs
.. note::
Users who previously installed OCRmyPDF on macOS using
``pip install ocrmypdf`` should remove the pip version
(``pip3 uninstall ocrmypdf``) before switching to the Homebrew
version.
.. note::
Users who previously installed OCRmyPDF from the private tap should
switch to the mainline version (``brew untap jbarlow83/ocrmypdf``)
and install from there.
Manual installation on macOS
----------------------------
These instructions probably work on all macOS supported by Homebrew, and are
for installing a more current version of OCRmyPDF than is available from
Homebrew. Note that the Homebrew versions usually track the release versions
fairly closely.
If it's not already present, `install Homebrew <http://brew.sh/>`__.
Update Homebrew:
.. code-block:: bash
brew update
Install or upgrade the required Homebrew packages, if any are missing.
To do this, use ``brew edit ocrmypdf`` to obtain a recent list of Homebrew
dependencies. You could also check the ``azure-pipelines.yml``.
This will include the English, French, German and Spanish language
packs. If you need other languages you can optionally install them all:
.. _macos-all-languages:
.. code-block:: bash
brew install tesseract-lang # Option 2: for all language packs
Update the homebrew pip:
.. code-block:: bash
pip3 install --upgrade pip
You can then install OCRmyPDF from PyPI, for the current user:
.. code-block:: bash
pip3 install --user ocrmypdf
or system-wide:
.. code-block:: bash
pip3 install ocrmypdf
The command line program should now be available:
.. code-block:: bash
ocrmypdf --help
Installing on Windows
=====================
Native Windows
--------------
.. note::
It is easier to install OCRmyPDF on Windows Subsystem for Linux.
.. note::
Administrator privileges will be required for some of these steps.
You must install the following for Windows:
* Python 3.7 (64-bit) or later
* Tesseract 4.0 or later
* Ghostscript 9.50 or later
You can install these with the Chocolatey package manager:
* ``choco install python3``
* ``choco install --pre tesseract``
* ``choco install ghostscript``
Also consider adding:
* ``choco install pngquant``
Windows 10 64-bit and 64-bit versions of applications are recommended. Earlier
versions of Windows and 32-bit versions of these programs are not tested, and not
supported at this time.
OCRmyPDF will check for Tesseract-OCR and Ghostscript in your Program Files folder.
If they are in some other location, you may need to modify the ``PATH``
environment variable so Tesseract, Ghostscript, and other any optional executables can
be found. You can enter it in the command line or
`follow these directions <https://www.computerhope.com/issues/ch000549.htm#dospath>`_
to make the change persistent and system-wide.
You may then use pip to install ocrmypdf:
* ``pip install ocrmypdf``
Windows Subsystem for Linux
---------------------------
#. Install Ubuntu 18.04 for Windows Subsystem for Linux, if not already installed.
#. Follow the procedure to install :ref:`OCRmyPDF on Ubuntu 18.04 <ubuntu-lts-latest>`.
#. Open the Windows command prompt and create a symlink:
.. code-block:: powershell
wsl sudo ln -s /home/$USER/.local/bin/ocrmypdf /usr/local/bin/ocrmypdf
Then confirm that the expected version from PyPI (|latest|) is installed:
.. code-block:: powershell
wsl ocrmypdf --version
You can then run OCRmyPDF in the Windows command prompt or Powershell, prefixing
``wsl``, and call it from Windows programs or batch files.
Cygwin64
--------
First install the the following prerequisite Cygwin packages using ``setup-x86_64.exe``::
python36 (or later)
python3?-devel
python3?-pip
python3?-lxml
python3?-imaging
(where 3? means match the version of python3 you installed)
gcc-g++
ghostscript (<=9.50 or >=9.52-2 see note below)
libexempi3
libexempi-devel
libffi6
libffi-devel
pngquant
qpdf
libqpdf-devel
tesseract-ocr
tesseract-ocr-devel
.. note::
The Cygwin package for Ghostscript in versions 9.52 and
9.52-1 contained a bug that caused an exception to occur when
ocrmypdf invoked gs. Make sure you have either 9.50 (or earlier)
or 9.52-2 (or later).
Then open a Cygwin terminal (i.e. ``mintty``), run the following commands. Note
that if you are using the version of ``pip`` that was installed with the Cygwin
Python package, the command name will be ``pip3``. If you have since updated
``pip`` (with, for instance ``pip3 install --upgrade pip``) the the command is
likely just ``pip`` instead of ``pip3``:
.. code-block:: bash
pip3 install wheel
pip3 install ocrmypdf
The optional dependency "unpaper" that is currently not available under Cygwin.
Without it, certain options such as ``--clean`` will produce an error message.
However, the OCR-to-text-layer functionality is available.
Docker
------
You can also :ref:`Install the Docker <docker-install>` container on Windows. Ensure that
your command prompt can run the docker "hello world" container.
Installing on FreeBSD
=====================
.. image:: https://repology.org/badge/version-for-repo/freebsd/python:ocrmypdf.svg
:alt: FreeBSD
:target: https://repology.org/project/python:ocrmypdf/versions
FreeBSD 11.3, 12.0, 12.1-RELEASE and 13.0-CURRENT are supported. Other
versions likely work but have not been tested.
.. code-block:: bash
pkg install py37-ocrmypdf
To install a more recent version, you could attempt to first install the system
version with ``pkg``, then use ``pip install --user ocrmypdf``.
Installing the Docker image
===========================
For some users, installing the Docker image will be easier than
installing all of OCRmyPDF's dependencies.
See `OCRmyPDF Docker Image <docker>`__ for more information.
Installing with Python pip
==========================
OCRmyPDF is delivered by PyPI because it is a convenient way to install
the latest version. However, PyPI and ``pip`` cannot address the fact
that ``ocrmypdf`` depends on certain non-Python system libraries and
programs being instsalled.
For best results, first install `your platform's
version <https://repology.org/metapackage/ocrmypdf/versions>`__ of
``ocrmypdf``, using the instructions elsewhere in this document. Then
you can use ``pip`` to get the latest version if your platform version
is out of date. Chances are that this will satisfy most dependencies.
Use ``ocrmypdf --version`` to confirm what version was installed.
Then you can install the latest OCRmyPDF from the Python wheels. First
try:
.. code-block:: bash
pip3 install --user ocrmypdf
You should then be able to run ``ocrmypdf --version`` and see that the
latest version was located.
Since ``pip3 install --user`` does not work correctly on some platforms,
notably Ubuntu 16.04 and older, and the Homebrew version of Python,
instead use this for a system wide installation:
.. code-block:: bash
pip3 install ocrmypdf
.. note::
AArch64 (ARM64) users: this process will be difficult because most
Python packages are not available as binary wheels for your platform.
You're probably better off using a platform install on Debian, Ubuntu,
or Fedora.
Requirements for pip and HEAD install
-------------------------------------
OCRmyPDF currently requires these external programs and libraries to be
installed, and must be satisfied using the operating system package
manager. ``pip`` cannot provide them.
- Python 3.6 or newer
- Ghostscript 9.15 or newer
- qpdf 8.1.0 or newer
- Tesseract 4.0.0-beta or newer
As of ocrmypdf 7.2.1, the following versions are recommended:
- Python 3.7 or 3.8
- Ghostscript 9.23 or newer
- qpdf 8.2.1
- Tesseract 4.0.0 or newer
- jbig2enc 0.29 or newer
- pngquant 2.5 or newer
- unpaper 6.1
jbig2enc, pngquant, and unpaper are optional. If missing certain
features are disabled. OCRmyPDF will discover them as soon as they are
available.
**jbig2enc**, if present, will be used to optimize the encoding of
monochrome images. This can significantly reduce the file size of the
output file. It is not required.
`jbig2enc <https://github.com/agl/jbig2enc>`__ is not generally
available for Ubuntu or Debian due to lingering concerns about patent
issues, but can easily be built from source. To add JBIG2 encoding, see
:ref:`jbig2`.
**pngquant**, if present, is optionally used to optimize the encoding of
PNG-style images in PDFs (actually, any that are that losslessly
encoded) by lossily quantizing to a smaller color palette. It is only
activated then the ``--optimize`` argument is ``2`` or ``3``.
**unpaper**, if present, enables the ``--clean`` and ``--clean-final``
command line options.
These are in addition to the Python packaging dependencies, meaning that
unfortunately, the ``pip install`` command cannot satisfy all of them.
Installing HEAD revision from sources
=====================================
If you have ``git`` and Python 3.6 or newer installed, you can install
from source. When the ``pip`` installer runs, it will alert you if
dependencies are missing.
If you prefer to build every from source, you will need to `build
pikepdf from
source <https://pikepdf.readthedocs.io/en/latest/installation.html#building-from-source>`__.
First ensure you can build and install pikepdf.
To install the HEAD revision from sources in the current Python 3
environment:
.. code-block:: bash
pip3 install git+https://github.com/jbarlow83/OCRmyPDF.git
Or, to install in `development
mode <https://pythonhosted.org/setuptools/setuptools.html#development-mode>`__,
allowing customization of OCRmyPDF, use the ``-e`` flag:
.. code-block:: bash
pip3 install -e git+https://github.com/jbarlow83/OCRmyPDF.git
You may find it easiest to install in a virtual environment, rather than
system-wide:
.. code-block:: bash
git clone -b master https://github.com/jbarlow83/OCRmyPDF.git
python3 -m venv
source venv/bin/activate
cd OCRmyPDF
pip3 install .
However, ``ocrmypdf`` will only be accessible on the system PATH when
you activate the virtual environment.
To run the program:
.. code-block:: bash
ocrmypdf --help
If not yet installed, the script will notify you about dependencies that
need to be installed. The script requires specific versions of the
dependencies. Older version than the ones mentioned in the release notes
are likely not to be compatible to OCRmyPDF.
For development
---------------
To install all of the development and test requirements:
.. code-block:: bash
git clone -b master https://github.com/jbarlow83/OCRmyPDF.git
python3 -m venv
source venv/bin/activate
cd OCRmyPDF
pip install -e .
pip install -r requirements/dev.txt -r requirements/test.txt
To add JBIG2 encoding, see :ref:`jbig2`.
Shell completions
=================
Completions for ``bash`` and ``fish`` are available in the project's
``misc/completion`` folder. The ``bash`` completions are likely ``zsh``
compatible but this has not been confirmed. Package maintainers, please
install these at the appropriate locations for your system.
To manually install the ``bash`` completion, copy
``misc/completion/ocrmypdf.bash`` to ``/etc/bash_completion.d/ocrmypdf``
(rename the file).
To manually install the ``fish`` completion, copy
``misc/completion/ocrmypdf.fish`` to
``~/.config/fish/completions/ocrmypdf.fish``.
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============
Introduction
============
OCRmyPDF is a Python 3 application and library that adds OCR layers to PDFs.
About OCR
=========
`Optical character
recognition <https://en.wikipedia.org/wiki/Optical_character_recognition>`__
is technology that converts images of typed or handwritten text, such as
in a scanned document, to computer text that can be selected, searched and copied.
OCRmyPDF uses
`Tesseract <https://github.com/tesseract-ocr/tesseract>`__, the best
available open source OCR engine, to perform OCR.
.. _raster-vector:
About PDFs
==========
PDFs are page description files that attempts to preserve a layout
exactly. They contain `vector
graphics <http://vector-conversions.com/vectorizing/raster_vs_vector.html>`__
that can contain raster objects such as scanned images. Because PDFs can
contain multiple pages (unlike many image formats) and can contain fonts
and text, it is a good formats for exchanging scanned documents.
|image|
A PDF page might contain multiple images, even if it only appears to
have one image. Some scanners or scanning software will segment pages
into monochromatic text and color regions for example, to improve the
compression ratio and appearance of the page.
Rasterizing a PDF is the process of generating an image suitable for
display or analyzing with an OCR engine. OCR engines like Tesseract work
with images, not vector objects.
About PDF/A
===========
`PDF/A <https://en.wikipedia.org/wiki/PDF/A>`__ is an ISO-standardized
subset of the full PDF specification that is designed for archiving (the
'A' stands for Archive). PDF/A differs from PDF primarily by omitting
features that would make it difficult to read the file in the future,
such as embedded Javascript, video, audio and references to external
fonts. All fonts and resources needed to interpret the PDF must be
contained within it. Because PDF/A disables Javascript and other types
of embedded content, it is probably more secure.
There are various conformance levels and versions, such as "PDF/A-2b".
Generally speaking, the best format for scanned documents is PDF/A. Some
governments and jurisdictions, US Courts in particular, `mandate the use
of PDF/A <https://pdfblog.com/2012/02/13/what-is-pdfa/>`__ for scanned
documents.
Since most people who scan documents are interested in reading them
indefinitely into the future, OCRmyPDF generates PDF/A-2b by default.
PDF/A has a few drawbacks. Some PDF viewers include an alert that the
file is a PDF/A, which may confuse some users. It also tends to produce
larger files than PDF, because it embeds certain resources even if they
are commonly available. PDF/A files can be digitally signed, but may not
be encrypted, to ensure they can be read in the future. Fortunately,
converting from PDF/A to a regular PDF is trivial, and any PDF viewer
can view PDF/A.
What OCRmyPDF does
==================
OCRmyPDF analyzes each page of a PDF to determine the colorspace and
resolution (DPI) needed to capture all of the information on that page
without losing content. It uses
`Ghostscript <http://ghostscript.com/>`__ to rasterize the page, and
then performs on OCR on the rasterized image to create an OCR "layer".
The layer is then grafted back onto the original PDF.
While one can use a program like Ghostscript or ImageMagick to get an
image and put the image through Tesseract, that actually creates a new
PDF and many details may be lost. OCRmyPDF can produce a minimally
changed PDF as output.
OCRmyPDF also some image processing options like deskew which improve
the appearance of files and quality of OCR. When these are used, the OCR
layer is grafted onto the processed image instead.
By default, OCRmyPDF produces archival PDFs PDF/A, which are a
stricter subset of PDF features designed for long term archives. If
regular PDFs are desired, this can be disabled with
``--output-type pdf``.
Why you shouldn't do this manually
==================================
A PDF is similar to an HTML file, in that it contains document structure
along with images. Sometimes a PDF does nothing more than present a full
page image, but often there is additional content that would be lost.
A manual process could work like either of these:
1. Rasterize each page as an image, OCR the images, and combine the
output into a PDF. This preserves the layout of each page, but
resamples all images (possibly losing quality, increasing file size,
introducing compression artifacts, etc.).
2. Extract each image, OCR, and combine the output into a PDF. This
loses the context in which images are used in the PDF, meaning that
cropping, rotation and scaling of pages may be lost. Some scanned
PDFs use multiple images segmented into black and white, grayscale
and color regions, with stencil masks to prevent overlap, as this can
enhance the appearance of a file while reducing file size. Clearly,
reassembling these images will be easy. This also loses and text or
vector art on any pages in a PDF with both scanned and pure digital
content.
In the case of a PDF that is nothing other than a container of images
(no rotation, scaling, cropping, one image per page), the second
approach can be lossless.
OCRmyPDF uses several strategies depending on input options and the
input PDF itself, but generally speaking it rasterizes a page for OCR
and then grafts the OCR back onto the original. As such it can handle
complex PDFs and still preserve their contents as much as possible.
OCRmyPDF also supports a many, many edge cases that have cropped over
several years of development. We support PDF features like images inside
of Form XObjects, and pages with UserUnit scaling. We support rare image
formats like non-monochrome 1-bit images. We warn about files you may
not to OCR. Thanks to pikepdf and QPDF, we auto-repair PDFs that are
damaged. (Not that you need to know what any of these are! You should be
able to throw any PDF at it.)
Limitations
===========
OCRmyPDF is limited by the Tesseract OCR engine. As such it experiences
these limitations, as do any other programs that rely on Tesseract:
- The OCR is not as accurate as commercial solutions such as Abbyy.
- It is not capable of recognizing handwriting.
- It may find gibberish and report this as OCR output.
- If a document contains languages outside of those given in the
``-l LANG`` arguments, results may be poor.
- It is not always good at analyzing the natural reading order of
documents. For example, it may fail to recognize that a document
contains two columns, and may try to join text across columns.
- Poor quality scans may produce poor quality OCR. Garbage in, garbage
out.
- It does not expose information about what font family text belongs
to.
OCRmyPDF is also limited by the PDF specification:
- PDF encodes the position of text glyphs but does not encode document
structure. There is no markup that divides a document in sections,
paragraphs, sentences, or even words (since blank spaces are not
represented). As such all elements of document structure including
the spaces between words must be derived heuristically. Some PDF
viewers do a better job of this than others.
- Because some popular open source PDF viewers have a particularly hard
time with spaces between words, OCRmyPDF appends a space to each text
element as a workaround (when using ``--pdf-renderer hocr``). While
this mixes document structure with graphical information that ideally
should be left to the PDF viewer to interpret, it improves
compatibility with some viewers and does not cause problems for
better ones.
Ghostscript also imposes some limitations:
- PDFs containing JBIG2-encoded content will be converted to CCITT
Group4 encoding, which has lower compression ratios, if Ghostscript
PDF/A is enabled.
- PDFs containing JPEG 2000-encoded content will be converted to JPEG
encoding, which may introduce compression artifacts, if Ghostscript
PDF/A is enabled.
- Ghostscript may transcode grayscale and color images, either lossy to
lossless or lossless to lossy, based on an internal algorithm. This
behavior can be suppressed by setting ``--pdfa-image-compression`` to
``jpeg`` or ``lossless`` to set all images to one type or the other.
Ghostscript has no option to maintain the input image's format.
(Ghostscript 9.25+ can copy JPEG images without transcoding them;
earlier versions will transcode.)
- Ghostscript's PDF/A conversion removes any XMP metadata that is not
one of the standard XMP metadata namespaces for PDFs. In particular,
PRISM Metdata is removed.
Regarding OCRmyPDF itself:
- PDFs that use transparency are not currently represented in the test
suite
Similar programs
================
To the author's knowledge, OCRmyPDF is the most feature-rich and
thoroughly tested command line OCR PDF conversion tool. If it does not
meet your needs, contributions and suggestions are welcome. If not,
consider one of these similar open source programs:
- pdf2pdfocr
- pdfsandwich
- pypdfocr
- pdfbeads
Web front-ends
==============
The Docker image ``ocrmypdf`` provides a web service front-end
that allows files to submitted over HTTP and the results "downloaded".
This is an HTTP server intended to simplify web services deployments; it
is not intended to be deployed on the public internet and no real
security measures to speak of.
In addition, the following third-party integrations are available:
- `Nextcloud OCR <https://github.com/janis91/ocr>`__ is a free software
plugin for the Nextcloud private cloud software
OCRmyPDF is not designed to be secure against malware-bearing PDFs (see
`Using OCRmyPDF online <ocr-service>`__). Users should ensure they
comply with OCRmyPDF's licenses and the licenses of all dependencies. In
particular, OCRmyPDF requires Ghostscript, which is licensed under
AGPLv3.
.. |image| image:: images/bitmap_vs_svg.svg
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.. _jbig2:
============================
Installing the JBIG2 encoder
============================
Most Linux distributions do not include a JBIG2 encoder since JBIG2
encoding was patented for a long time. All known JBIG2 US patents have
expired as of 2017, but it is possible that unknown patents exist.
JBIG2 encoding is recommended for OCRmyPDF and is used to losslessly
create smaller PDFs. If JBIG2 encoding not available, lower quality
encodings will be used.
JBIG2 decoding is not patented and is performed automatically by most
PDF viewers. It is widely supported has been part of the PDF
specification since 2001.
On macOS, Homebrew packages jbig2enc and OCRmyPDF includes it by
default. The Docker image for OCRmyPDF also builds its own JBIG2 encoder
from source.
For all other Linux, you must build a JBIG2 encoder from source:
.. code-block:: bash
git clone https://github.com/agl/jbig2enc
cd jbig2enc
./autogen.sh
./configure && make
[sudo] make install
.. _jbig2-lossy:
Lossy mode JBIG2
================
OCRmyPDF provides lossy mode JBIG2 as an advanced feature. Users should
`review the technical concerns with JBIG2 in lossy
mode <https://abbyy.technology/en:kb:tip:jbig2_compression_and_ocr>`__
and decide if this feature is acceptable for their use case.
JBIG2 lossy mode does achieve higher compression ratios than any other
monochrome (bitonal) compression technology; for large text documents
the savings are considerable. JBIG2 lossless still gives great
compression ratios and is a major improvement over the older CCITT G4
standard. As explained above, there is some risk of substitution errors.
To turn on JBIG2 lossy mode, add the argument ``--jbig2-lossy``.
``--optimize {1,2,3}`` are necessary for the argument to take effect
also required. Also, a JBIG2 encoder must be installed as described in
the previous section.
*Due to an oversight, ocrmypdf v7.0 and v7.1 used lossy mode by
default.*
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.. _lang-packs:
====================================
Installing additional language packs
====================================
OCRmyPDF uses Tesseract for OCR, and relies on its language packs for all languages.
On most platforms, English is installed with Tesseract by default, but not always.
Tesseract supports `most
languages <https://github.com/tesseract-ocr/tesseract/blob/master/doc/tesseract.1.asc#languages>`__.
Languages are identified by standardized three-letter codes (called ISO 639-2 Alpha-3).
Tesseract's documentation also lists the three-letter code for your language.
Some are anglicized, e.g. Spanish is ``spa`` rather than ``esp``, while others
are not, e.g. German is ``deu``.
After you have installed a language pack, you can use it ``ocrmypdf -l <language>``,
for example ``ocrmypdf -l spa``. For multilingual documents, you can specify
all languages to be expected, e.g. ``ocrmypdf -l eng+fra`` for English and French.
English is assumed by default unless other language(s) are specified.
For Linux users, you can often find packages that provide language
packs:
Debian and Ubuntu users
=======================
.. code-block:: bash
# Display a list of all Tesseract language packs
apt-cache search tesseract-ocr
# Install Chinese Simplified language pack
apt-get install tesseract-ocr-chi-sim
You can then pass the ``-l LANG`` argument to OCRmyPDF to give a hint as
to what languages it should search for. Multiple languages can be
requested using either ``-l eng+fre`` (English and French) or
``-l eng -l fre``.
Fedora users
============
.. code-block:: bash
# Display a list of all Tesseract language packs
dnf search tesseract
# Install Chinese Simplified language pack
dnf install tesseract-langpack-chi_sim
You can then pass the ``-l LANG`` argument to OCRmyPDF to give a hint as
to what languages it should search for. Multiple languages can be
requested using either ``-l eng+fre`` (English and French) or
``-l eng -l fre``.
macOS users
===========
You can install additional language packs by
:ref:`installing Tesseract using Homebrew with all language packs <macos-all-languages>`.
Docker users
============
Users of the OCRmyPDF Docker image should install language packs into a
derived Docker image as
:ref:`described in that section <docker-lang-packs>`.
Windows users
=============
The Tesseract installer provided by Chocolatey already includes 100 languages.
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================
PDF optimization
================
OCRmyPDF includes an image-oriented PDF optimizer. By default, the optimizer
runs with safe settings with the goal of improving compression at no loss of
quality. At higher optimization levels, lossy optimizations may be applied and
tuned. Optimization occurs after OCR, and only if OCR succeeded. It does not
perform other possible optimizations such as deduplicating resources,
consolidating fonts, simplifying vector drawings, or anything of that nature.
Optimization ranges from ``-O0`` through ``-O3``, where ``0`` disables
optimization and ``3`` implements all options. ``1``, the default, performs only
safe and lossless optimizations. (This is similar to GCC's optimization
parameter.) The exact type of optimizations performed will vary over time.
PDF optimization requires third-party, optional tools for certain optimizations.
If these are not installed or cannot be found by OCRmyPDF, optimization will not
be as good.
Optimizations that always occurs
================================
OCRmyPDF will automatically replace obsolete or inferior compression schemes
such as RLE or LZW with superior schemes such as Deflate and converting
monochrome images to CCITT G4. Since this is harmless it always occurs and there
is no way to disable it. Other non-image compressed objects are compressed as
well.
Fast web view
=============
OCRmyPDF automatically optimizes PDFs for "fast web view" in Adobe Acrobat's
parlance, or equivalently, linearizes PDFs so that the resources they reference
are presented in the order a viewer needs them for sequential display. This
reduces the latency of viewing a PDF both online and from local storage. This
actually slightly increases the file size.
To disable this optimization and all others, use ``ocrmypdf --optimize 0 ...``
or the shorthand ``-O0``.
Lossless optimizations
======================
At optimization level ``-O1`` (the default), OCRmyPDF will also attempt lossless
image optimization.
If a JBIG2 encoder is available, then monochrome images will be converted to
JBIG2, with the potential for huge savings on large black and white images,
since JBIG2 is far more efficient than any other monochrome (bi-level)
compression. (All known US patents related to JBIG2 have probably expired, but
it remains the responsibility of the user to supply a JBIG2 encoder such as
`jbig2enc <https://github.com/agl/jbig2enc>`__. OCRmyPDF does not implement
JBIG2 encoding on its own.)
OCRmyPDF currently does not attempt to recompress losslessly compressed objects
more aggressively.
Lossy optimizations
===================
At optimization level ``-O2`` and ``-O3``, OCRmyPDF will some attempt lossy
image optimization.
If ``pngquant`` is installed, OCRmyPDF will use it to perform quantize paletted
images to reduce their size.
The quality of JPEGs may be lowered, on the assumption that a lower quality
image may be suitable for storage after OCR.
It is not possible to optimize all image types. Uncommon image types may be
skipped by the optimizer.
OCRmyPDF provides :ref:`lossy mode JBIG2 <jbig2-lossy>` as an advanced feature
that additional requires the argument ``--jbig2-lossy``.
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===================
PDF security issues
===================
OCRmyPDF should only be used on PDFs you trust. It is not designed to
protect you against malware.
Recognizing that many users have an interest in handling PDFs and
applying OCR to PDFs they did not generate themselves, this article
discusses the security implications of PDFs and how users can protect
themselves.
The disclaimer applies: this software has no warranties of any kind.
PDFs may contain malware
========================
PDF is a rich, complex file format. The official PDF 1.7 specification,
ISO 32000:2008, is hundreds of pages long and references several annexes
each of which are similar in length. PDFs can contain video, audio, XML,
JavaScript and other programming, and forms. In some cases, they can
open internet connections to pre-selected URLs. All of these possible
attack vectors.
In short, PDFs `may contain
viruses <https://security.stackexchange.com/questions/64052/can-a-pdf-file-contain-a-virus>`__.
This
`article <https://theinvisiblethings.blogspot.ca/2013/02/converting-untrusted-pdfs-into-trusted.html>`__
describes a high-paranoia method which allows potentially hostile PDFs
to be viewed and rasterized safely in a disposable virtual machine. A
trusted PDF created in this manner is converted to images and loses all
information making it searchable and losing all compression. OCRmyPDF
could be used restore searchability.
How OCRmyPDF processes PDFs
===========================
OCRmyPDF must open and interpret your PDF in order to insert an OCR
layer. First, it runs all PDFs through
`pikepdf <https://github.com/pikepdf/pikepdf>`__, a library based on
`qpdf <https://github.com/qpdf/qpdf>`__, a program that repairs PDFs
with syntax errors. This is done because, in the author's experience, a
significant number of PDFs in the wild especially those created by
scanners are not well-formed files. qpdf makes it more likely that
OCRmyPDF will succeed, but offers no security guarantees. qpdf is also
used to split the PDF into single page PDFs.
Finally, OCRmyPDF rasterizes each page of the PDF using
`Ghostscript <http://ghostscript.com/>`__ in ``-dSAFER`` mode.
Depending on the options specified, OCRmyPDF may graft the OCR layer
into the existing PDF or it may essentially reconstruct ("re-fry") a
visually identical PDF that may be quite different at the binary level.
That said, OCRmyPDF is not a tool designed for sanitizing PDFs.
.. _ocr-service:
Using OCRmyPDF online or as a service
=====================================
OCRmyPDF is not designed for use as a public web service where a
malicious user could upload a chosen PDF. In particular, it is not
necessarily secure against PDF malware or PDFs that cause denial of
service. OCRmyPDF relies on Ghostscript, and therefore, if deployed
online one should be prepared to comply with Ghostscript's Affero GPL
license, OCRmyPDF's GPL license, and any other licenses.
Setting aside these concerns, a side effect of OCRmyPDF is it may
incidentally sanitize PDFs that contain certain types of malware. It
repairs the PDF with pikepdf/libqpdf, which could correct malformed PDF
structures that are part of an attack. When PDF/A output is selected
(the default), the input PDF is partially reconstructed by Ghostscript.
When ``--force-ocr`` is used, all pages are rasterized and reconverted
to PDF, which could remove malware in embedded images.
OCRmyPDF should be relatively safe to use in a trusted intranet, with
some considerations:
Limiting CPU usage
------------------
OCRmyPDF will attempt to use all available CPUs and storage, so
executing ``nice ocrmypdf`` or limiting the number of jobs with the
``-j`` argument may ensure the server remains available. Another option
would be run OCRmyPDF jobs inside a Docker container, a virtual machine,
or a cloud instance, which can impose its own limits on CPU usage and be
terminated "from orbit" if it fails to complete.
Temporary storage requirements
------------------------------
OCRmyPDF will use a large amount of temporary storage for its work,
proportional to the total number of pixels needed to rasterize the PDF.
The raster image of a 8.5×11" color page at 300 DPI takes 25 MB
uncompressed; OCRmyPDF saves its intermediates as PNG, but that still
means it requires about 9 MB per intermediate based on average
compression ratios. Multiple intermediates per page are also required,
depending on the command line given. A rule of thumb would be to allow
100 MB of temporary storage per page in a file meaning that a small
cloud servers or small VM partitions should be provisioned with plenty
of extra space, if say, a 500 page file might be sent.
To check temporary storage usage on actual files, run
``ocrmypdf -k ...`` which will preserve and print the path to temporary
storage when the job is done.
To change where temporary files are stored, change the ``TMPDIR``
environment variable for ocrmypdf's environment. (Python's
``tempfile.gettempdir()`` returns the root directory in which temporary
files will be stored.) For example, one could redirect ``TMPDIR`` to a
large RAM disk to avoid wear on HDD/SSD and potentially improve
performance. On Amazon Web Services, ``TMPDIR`` can be set to `empheral
storage <https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/InstanceStorage.html>`__.
Timeouts
--------
To prevent excessively long OCR jobs consider setting
``--tesseract-timeout`` and/or ``--skip-big`` arguments. ``--skip-big``
is particularly helpful if your PDFs include documents such as reports
on standard page sizes with large images attached - often large images
are not worth OCR'ing anyway.
Commercial alternatives
-----------------------
The author also provides professional services that include OCR and
building databases around PDFs, and is happy to provide consultation.
Abbyy Cloud OCR is a viable commercial alternative with a web services
API.
Password protection, digital signatures and certification
=========================================================
Password protected PDFs usually have two passwords, and owner and user
password. When the user password is set to empty, PDF readers will open
the file automatically and marked it as "(SECURED)". While not as
reliable as a digital signature, this indicates that whoever set the
password approved of the file at that time. When the user password is
set, the document cannot be viewed without the password.
Either way, OCRmyPDF does not remove passwords from PDFs and exits with
an error on encountering them.
``qpdf`` 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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===========
Performance
===========
Some users have noticed that current versions of OCRmyPDF do not run as quickly
as some older versions (specifically 6.x and older). This is because OCRmyPDF
added image optimization as a postprocessing step, and it is enabled by default.
Speed
=====
If running OCRmyPDF quickly is your main goal, you can use settings such as:
* ``--optimize 0`` to disable file size optimization
* ``--output-type pdf`` to disable PDF/A generation
* ``--fast-web-view 0`` to disable fast web view optimization
* ``--skip-big`` to skip large images, if some pages have large images
You can also avoid:
* ``--force-ocr``
* Image preprocessing
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=======
Plugins
=======
The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL
NOT", "SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY", and
"OPTIONAL" in this document are to be interpreted as described in
RFC 2119.
You can use plugins to customize the behavior of OCRmyPDF at certain points of
interest.
Currently, it is possible to:
- add new command line arguments
- override the decision for whether or not to perform OCR on a particular file
- modify the image is about to be sent for OCR
- modify the page image before it is converted to PDF
- replace the Tesseract OCR with another OCR engine that has similar behavior
- replace Ghostscript with another PDF to image converter (rasterizer) or
PDF/A generator
OCRmyPDF plugins are based on the Python ``pluggy`` package and conform to its
conventions. Note that: plugins installed with as setuptools entrypoints are
not checked currently, because OCRmyPDF assumes you may not want to enable
plugins for all files.
Script plugins
==============
Script plugins may be called from the command line, by specifying the name of a file.
Script plugins may be convenient for informal or "one-off" plugins, when a certain
batch of files needs a special processing step for example.
.. code-block:: bash
ocrmypdf --plugin ocrmypdf_example_plugin.py input.pdf output.pdf
Multiple plugins may be installed by issuing the ``--plugin`` argument multiple times.
Packaged plugins
================
Installed plugins may be installed into the same virtual environment as OCRmyPDF
is installed into. They may be invoked using Python standard module naming.
If you are intending to distribute a plugin, please package it.
.. code-block:: bash
ocrmypdf --plugin ocrmypdf_fancypants.pockets.contents input.pdf output.pdf
OCRmyPDF does not automatically import plugins, because the assumption is that
plugins affect different files differently and you may not want them activated
all the time. The command line or ``ocrmypdf.ocr(plugin='...')`` must call
for them.
Third parties that wish to distribute packages for ocrmypdf should package them
as packaged plugins, and these modules should begin with the name ``ocrmypdf_``
similar to ``pytest`` packages such as ``pytest-cov`` (the package) and
``pytest_cov`` (the module).
.. note::
We strongly recommend plugin authors name their plugins with the prefix
``ocrmypdf-`` (for the package name on PyPI) and ``ocrmypdf_`` (for the
module), just like pytest plugins.
Plugin requirements
===================
OCRmyPDF generally uses multiple worker processes. When a new worker is started,
Python will import all plugins again, including all plugins that were imported earlier.
This means that the global state of a plugin in one worker will not be shared with
other workers. As such, plugin hook implementations should be stateless, relying
only on their inputs. Hook implementations may use their input parameters to
to obtain a reference to shared state prepared by another hook implementation.
Plugins must expect that other instances of the plugin will be running
simultaneously.
The ``context`` object that is passed to many hooks can be used to share information
about a file being worked on. Plugins must write private, plugin-specific data to
a subfolder named ``{options.work_folder}/ocrmypdf-plugin-name``. Plugins MAY
read and write files in ``options.work_folder``, but should be aware that their
semantics are subject to change.
OCRmyPDF will delete ``options.work_folder`` when it has finished OCRing
a file, unless invoked with ``--keep-temporary-files``.
The documentation for some plugin hooks contain a detailed description of the
execution context in which they will be called.
Plugins should be prepared to work whether executed in worker threads or worker
processes. Generally, OCRmyPDF uses processes, but has a semi-hidden threaded
argument that simplifies debugging.
Plugin hooks
============
A plugin may provide the following hooks. Hooks must be decorated with
``ocrmypdf.hookimpl``, for example:
.. code-block:: python
from ocrmpydf import hookimpl
@hookimpl
def add_options(parser):
pass
The following is a complete list of hooks that are available, and when
they are called.
.. _firstresult:
**Note on firstresult hooks**
If multiple plugins install implementations for this hook, they will be called in
the reverse of the order in which they are installed (i.e., last plugin wins).
When each hook implementation is called in order, the first implementation that
returns a value other than ``None`` will "win" and prevent execution of all other
hooks. As such, you cannot "chain" a series of plugin filters together in this
way. Instead, a single hook implementation should be responsible for any such
chaining operations.
Custom command line arguments
-----------------------------
.. autofunction:: ocrmypdf.pluginspec.add_options
.. autofunction:: ocrmypdf.pluginspec.check_options
Applying special behavior before processing
-------------------------------------------
.. autofunction:: ocrmypdf.pluginspec.validate
PDF page to image
-----------------
.. autofunction:: ocrmypdf.pluginspec.rasterize_pdf_page
Modifying intermediate images
-----------------------------
.. autofunction:: ocrmypdf.pluginspec.filter_ocr_image
.. autofunction:: ocrmypdf.pluginspec.filter_page_image
OCR engine
----------
.. autofunction:: ocrmypdf.pluginspec.get_ocr_engine
.. autoclass:: ocrmypdf.pluginspec.OcrEngine
:members:
.. automethod:: __str__
.. autoclass:: ocrmypdf.pluginspec.OrientationConfidence
PDF/A production
----------------
.. autofunction:: ocrmypdf.pluginspec.generate_pdfa
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That's all there is to it!
+17
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JHOVE - JSTOR/Harvard Object Validation Environment
Copyright 2003-2008 by JSTOR and the President and Fellows of Harvard College
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU Lessor General Public License as
published by the Free Software Foundation; either version 2.1 of the
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This program is distributed in the hope that it will be useful, but
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You should have received a copy of the GNU Lesser General Public
License along with this program; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307
USA
+227
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JHOVE - JSTOR/Harvard Object Validation Environment
Copyright 2003-2012 by JSTOR and the President and Fellows of Harvard College
JHOVE is made available under the GNU Lesser General Public License (LGPL;
see the file LICENSE for details)
Rev. 1.9, 2012-12-17
JHOVE (the JSTOR/Harvard Object Validation Environment, pronounced "jhove")
is an extensible software framework for performing format identification,
validation, and characterization of digital objects.
o Format identification is the process of determining the format to which a
digital object conforms: "I have a digital object; what format is it?"
o Format validation is the process of determining the level of compliance of a
digital object to the specification for its purported format: "I have an
object purportedly of format F; is it?"
o Format characterization is the process of determing the format-specific
significant properties of an object of a given format: "I have an object of
format F; what are its salient properties?"
These actions are frequently necessary during routine operation of digital
repositories and for digital preservation activities.
The output from JHOVE is controlled by output handlers. JHOVE uses an
extensible plug-in architecture; it can be configured at the time of its
invocation to include whatever specific format modules and output handlers
that are desired. The initial release of JHOVE includes modules for
arbitrary byte streams, ASCII and UTF-8 encoded text, AIFF and WAVE audio,
GIF, JPEG, JPEG 2000, TIFF, and PDF; and text and XML output handlers.
The JHOVE project is a collaboration of JSTOR and the Harvard University
Library. Development of JHOVE was funded in part by the Andrew W. Mellon
Foundation. JHOVE is made available under the GNU Lesser General Public
License (LGPL; see the file LICENSE for details).
JHOVE is currently being maintained by indpendent developers.
REQUIREMENTS
1. Java J2SE 1.5
(JHOVE was originally implemented using the Sun J2SE SDK 1.4.1 and has
been tested to work with 1.5)
2. If you would like to compile the JHOVE source code, then
Apache Ant, a Java-based build tool <http://ant.apache.org/> is necessary.
Note that the JAVA_HOME environment variable must be set appropriately for
Ant to work properly.
(JHOVE was implemented and tested using Ant 1.5.1.)
DISTRIBUTION
The JHOVE distribution package includes:
jhove/ # JHOVE home directory
COPYING # GNU Lesser General Public License
LICENSE # JHOVE license information
README
RELEASENOTES # JHOVE release notes
bin/
jhove.jar # JHOVE API package
jhove-handler.jar # Standard output handler package
jhove-module.jar # Standard module package
JhoveApp.jar # JHOVE command line application
JhoveView.jar # JHOVE with Swing GUI front-end
build.xml # Ant configuration file
classes/
build.xml # Ant configuration file
edu/ ... # JHOVE API packages
ADump.* # AIFF dump utility class
GDump.* # GIF dump utility class
Jhove.* # JHOVE main class
JDump.* # JPEG dump utility class
J2Dump.* # JPEG 2000 dump utility class
PDump.* # PDF dump utility class
TDump.* # TIFF dump utility class
UserHome.* # user.home property utility class
WDump.* # WAVE dump utility class
conf/
jhove.conf # JHOVE configuration file
jhove.xsd # JHOVE output schema
jhoveConfig.xsd # JHOVE configuration file schema
doc/
*.html # API documentation
...
examples/ # Sample files
ascii/ ...
gif/ ...
jpeg/ ...
jpeg2000/ ...
pdf/ ...
tiff/ ...
utf-8/ ...
adump* # AIFF dump Bourne shell driver
adump.bat* # AIFF dump DOS shell driver script
gdump* # GIF dump Bourne shell driver
gdump.bat* # GIF dump DOS shell driver script
jdump* # JPEG dump Bourne shell driver
jdump.bat* # JPEG dump DOS shell driver script
j2dump* # JPEG 2000 dump Bourne shell driver
j2dump.bat* # JPEG 2000 dump DOS shell driver
jhove.tmpl* # Template for JHOVE Bourne shell driver script
jhove_bat.tmpl* # Template for JHOVE DOS shell driver script
pdump* # PDF dump Bourne shell driver
pdump.bat* # PDF dump DOS shell driver script
tdump* # TIFF dump Bourne shell driver
tdump.bat* # TIFF dump DOS shell driver script
userhome* # user.home Bourne shell driver
userhome.bat* # user.home DOS shell driver script
wdump* # WAVE dump Bourne shell driver
wdump.bat* # WAVE dump DOS shell driver script
INSTALLATION
Edit the configuration file, jhove/conf/jhove.conf, and set the absolute
pathname of the JHOVE home directory and the temporary directory (in which
temporary files are created):
<jhoveHome>jhove-home-directory</jhoveHome>
<tempDirectory>temporary-directory</tempDirectory>
The JHOVE home directory is the top-most directory in the distribution TAR
or ZIP file. On Unix systems, "/var/tmp" is an appropriate temporary
directory; on Windows, "C:\Temp". For example, if the distribution TAR
file is disaggregated on a Unix system in the directory "/users/stephen/
projects", then the configuration file should read:
<jhoveHome>/users/stephen/projects/jhove</jhoveHome>
<tempDirectory>/var/tmp</jhoveHome>
In the JHOVE home directory, copy the JHOVE Bourne shell driver script
template, "jhove.tmpl", to "jhove" (or the equivalent Windows shell
script, "jhove_bat.tmpl" to "jhove.bat"), and set the
JHOVE home directory, Java home directory, and Java interpreter:
JHOVE_HOME=jhove-home-directory
JAVA_HOME=java-home-directory
JAVA=java-interpreter
The JAVA_HOME property should provide the absolute pathname of the Java
runtime or SDK installation; JAVA should provide the absolute pathname of the
Java interpreter. For example:
JHOVE_HOME=/users/stephen/projects/jhove
JAVA_HOME=/usr/local/j2re1.4.1_02
JAVA=$JAVA_HOME/bin/java
In the DOS shell driver script, jhove.bat, the equivalent three
variables are:
SET JHOVE_HOME=jhove-home-directory
SET JAVA_HOME=java-home-directory
SET JAVA=%JAVA_HOME%\bin\java
For example:
SET JHOVE_HOME="C:\Program Files\jhove"
SET JAVA_HOME="C:\Program Files\java\j2re1.4.1_02"
SET JAVA=%JAVA_HOME%\bin\java
The quotation marks are necessary because of the embedded space characters.
On Windows platforms it may also be necessary to add the Java bin subdirectory
to the System PATH environment variable:
PATH=C:\Program Files\java\j2re1.4.1_02\bin;...
(For information on setting a Windows environment variable, consult your local
documentation or system administrator.)
USAGE
java Jhove [-c config] [-m module] [-h handler] [-e encoding] [-H handler]
[-o output] [-x saxclass] [-t tempdir] [-b bufsize]
[-l loglevel] [[-krs] dir-file-or-uri [...]]
where -c config Configuration file pathname
-m module Module name
-h handler Output handler name (defaults to TEXT)
-e encoding Character encoding used by output handler (defaults to UTF-8)
-H handler About handler name
-o output Output file pathname (defaults to standard output)
-x saxclass SAX parser class (defaults to J2SE default)
-t tempdir Temporary directory in which to create temporary files
-b bufsize Buffer size for buffered I/O (defaults to J2SE 1.4 default)
-l loglevel Logging level
-k Calculate CRC32, MD5, and SHA-1 checksums
-r Display raw data flags, not textual equivalents
-s Format identification based on internal signatures only
dir-file-or-uri Directory or file pathname or URI of formated content
stream
All named modules and output handlers must be found on the Java CLASSPATH at
the time of invocation. The JHOVE driver script, jhove/jhove, automatically
sets the CLASSPATH and invokes the Jhove main class:
jhove [-c config] [-m module] [-h handler] [-e encoding] [-H handler]
[-o output] [-x saxclass] [-t tempdir] [-b bufsize] [-l loglevel]
[[-krs] dir-file-or-uri [...]]
The following additional programs are available, primarily for testing
and debugging purposes. They display a minimally processed, human-readable
version of the contents of AIFF, GIF, JPEG, JPEG 2000, PDF, TIFF, and WAVE
files:
java ADump aiff-file
java GDump gif-file
java JDump jpeg-file
java J2Dump jpeg2000-file
java PDump pdf-file
java TDump tiff-file
java WDump wave-file
For convenience, the following driver scripts are also available:
adump aiff-file
gdump gif-file
jdump jpeg-file
j2dump jpeg2000-file
pdump pdf-file
tdump tiff-file
wdump wave-file
The JHOVE Swing-based GUI interface can be invoked from a command shell from
the jhove/bin sub-directory:
java -jar JhoveView.jar -c <configFile>
where <configFile> is the pathname of the JHOVE configuration file.
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JHOVE - JSTOR/Harvard Object Validation Environment
Copyright 2003 by JSTOR and the President and Fellows of Harvard College
JHOVE is made available under the GNU General Public License (see the file
LICENSE for details)
Rev. 2003-11-25
The following jar files are meant to be used for embedding JHOVE functionality
into new applications or systems.
jhove.jar Contains the JHOVE API interfaces and classes
jhove-module.jar Contains the standard JHOVE modules ()
jhove-handler.jar Contains the standard JHOVE output handlers (TEXT and XML)
The following jar file is meant to be used with the stand-alone JHOVE
application using a command-line interface. It contains the main Jhove class
and the contents of jhove.jar, jhove-module.jar, and jhove-handler.jar.
JhoveApp.jar
The following jar file is meant to be used with the stand-alone JHOVE
application using a Swing GUI interface. It contains the main JhoveView class
and the contents of jhove.jar, jhove-module.jar, and jhove-handler.jar.
JhoveView.jar
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<project name="Jhove" default="dist" basedir=".">
<description>Project build file
Jhove - JSTOR/Harvard Object Validation Environment
Version 1.0 2004-09-10
Copyright 2004 by JSTOR and the President and Fellows of Harvard College
</description>
<!-- ant (or ant dist) Build everything
ant debug Build everything with debug enabled
ant clean Delete backup files
ant cleanclass Delete backup and class files
ant cleandist Delete backup, class, and jar files
ant javadoc Build javadocs
-->
<!-- set global properties for this build -->
<property name="bin" location="bin"/>
<property name="classes" location="classes"/>
<property name="doc" location="doc"/>
<target name="dist" description="Create distribution">
<ant dir="${classes}" inheritAll="false">
<property name="dbg" value="off"/>
</ant>
<chmod file="jhove" perm="ugo+x"/>
<chmod file="${bin}/JhoveView.jar" perm="ugo+x"/>
</target>
<target name="debug" description="Create distribution with debug enabled">
<ant dir="${classes}" inheritAll="false">
<property name="dbg" value="on"/>
</ant>
</target>
<target name="view" description="Create JhoveView application">
<ant dir="${classes}" target="view" inheritAll="false">
<property name="dbs" value="on"/>
</ant>
</target>
<target name="clean" description="Delete backup files">
<ant dir="${classes}" target="main-clean" inheritAll="false"/>
</target>
<target name="cleanclass" depends="clean">
<ant dir="${classes}" target="main-cleanclass" inheritAll="false"/>
</target>
<target name="cleandist" depends="cleanclass">
<delete file="${bin}/jhove.jar"/>
<delete file="${bin}/jhove-handler.jar"/>
<delete file="${bin}/jhove-module.jar"/>
<delete file="${bin}/JhoveApp.jar"/>
<delete file="${bin}/JhoveView.jar"/>
</target>
<target name="javadoc">
<javadoc sourcepath="${classes}" destdir="${doc}"
windowtitle="JHOVE Documentation"
Overview="${classes}/overview.html">
<package name="edu.harvard.hul.ois.jhove"/>
<package name="edu.harvard.hul.ois.jhove.handler"/>
<package name="edu.harvard.hul.ois.jhove.handler.audit"/>
<package name="edu.harvard.hul.ois.jhove.module"/>
<package name="edu.harvard.hul.ois.jhove.module.aiff"/>
<package name="edu.harvard.hul.ois.jhove.module.gif"/>
<package name="edu.harvard.hul.ois.jhove.module.html"/>
<package name="edu.harvard.hul.ois.jhove.module.iff"/>
<package name="edu.harvard.hul.ois.jhove.module.jpeg"/>
<package name="edu.harvard.hul.ois.jhove.module.jpeg2000"/>
<package name="edu.harvard.hul.ois.jhove.module.pdf"/>
<package name="edu.harvard.hul.ois.jhove.module.tiff"/>
<package name="edu.harvard.hul.ois.jhove.module.wave"/>
<package name="edu.harvard.hul.ois.jhove.module.xml"/>
<package name="edu.harvard.hul.ois.jhove.viewer"/>
</javadoc>
</target>
</project>
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JHOVE - JSTOR/Harvard Object Validation Environment
Copyright 2003-2007 by JSTOR and the President and Fellows of Harvard College
JHOVE is made available under the GNU General Public License (see the file
LICENSE for details)
Rev. 2007-08-30
Edit the configuration file, jhove.conf, and set the JHOVE home
directory:
<jhoveHome>jhove-home-directory</jhoveHome>
and temporary directory:
<tempDirectory>temporary-directory</tempDirectory>
On most Unix systems, a reasonable temporary directory is "/var/tmp";
on Windows, "C:\temp".
The optional
<bufferSize>buffer-size</bufferSize>
element defines the buffer size used for buffer I/O operations.
The optional
<mixVersion>1.0</mixVersion>
element specifies that the XML output handler should conform to the
MIX 1.0 schema. The default behavior is for handler output to conform
to the MIX 0.2 schema.
The optional
<sigBytes>n</sigBytes>
element specifies that JHOVE modules will look for format signatures
in the first <n> bytes of the file. The default value is 1024.
All class names must be fully qualified with their package name:
<module>
<class>fully-package-qualified-class-name</class>
<init>optional-initialization-argument</init>
<param>optional-invocation-argument</param>
</module>
The optional <init> argument is passed to the module once at the time
its class is instantiated. See module-specific documentation for a
description of any initialization options.
The optional <param> argument is passed to the module every time it is
invoked. See module-specific documentation for a description of any
invocation options.
The order in which format modules are defined is important; when
performing a format identification operation, JHOVE will search for a
matching module in the order in which the modules are defined in the
configuration file. In general, the modules for more generic formats
should come later in the list. For example, the standard module ASCII
should be defined before the UTF-8 module, since all ASCII objects
are, by definition, UTF-8 objects, but not vice versa.
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<?xml version="1.0" encoding="UTF-8"?>
<jhoveConfig version="1.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xmlns="http://hul.harvard.edu/ois/xml/ns/jhove/jhoveConfig"
xsi:schemaLocation="http://hul.harvard.edu/ois/xml/ns/jhove/jhoveConfig
http://hul.harvard.edu/ois/xml/xsd/jhove/1.4/jhoveConfig.xsd">
<jhoveHome>/users/stephen/projects/jhove</jhoveHome>
<defaultEncoding>utf-8</defaultEncoding>
<tempDirectory>/var/tmp</tempDirectory>
<bufferSize>131072</bufferSize>
<mixVersion>1.0</mixVersion>
<sigBytes>1024</sigBytes>
<module>
<class>edu.harvard.hul.ois.jhove.module.AiffModule</class>
</module>
<module>
<class>edu.harvard.hul.ois.jhove.module.WaveModule</class>
</module>
<module>
<class>edu.harvard.hul.ois.jhove.module.PdfModule</class>
</module>
<module>
<class>edu.harvard.hul.ois.jhove.module.Jpeg2000Module</class>
</module>
<module>
<class>edu.harvard.hul.ois.jhove.module.JpegModule</class>
</module>
<module>
<class>edu.harvard.hul.ois.jhove.module.GifModule</class>
</module>
<module>
<class>edu.harvard.hul.ois.jhove.module.TiffModule</class>
<param>byteoffset=true</param>
</module>
<module>
<class>edu.harvard.hul.ois.jhove.module.XmlModule</class>
</module>
<module>
<class>edu.harvard.hul.ois.jhove.module.HtmlModule</class>
</module>
<module>
<class>edu.harvard.hul.ois.jhove.module.AsciiModule</class>
</module>
<module>
<class>edu.harvard.hul.ois.jhove.module.Utf8Module</class>
</module>
</jhoveConfig>
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<?xml version="1.0" encoding="UTF-8"?>
<jhoveConfig version="1.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xmlns="http://hul.harvard.edu/ois/xml/ns/jhove/jhoveConfig"
xsi:schemaLocation="http://hul.harvard.edu/ois/xml/ns/jhove/jhoveConfig
http://hul.harvard.edu/ois/xml/xsd/jhove/1.4/jhoveConfig.xsd">
<jhoveHome>/users/stephen/projects/jhove</jhoveHome>
<defaultEncoding>utf-8</defaultEncoding>
<tempDirectory>/var/tmp</tempDirectory>
<bufferSize>131072</bufferSize>
<mixVersion>1.0</mixVersion>
<sigBytes>1024</sigBytes>
<module>
<class>edu.harvard.hul.ois.jhove.module.AiffModule</class>
</module>
<module>
<class>edu.harvard.hul.ois.jhove.module.WaveModule</class>
</module>
<module>
<class>edu.harvard.hul.ois.jhove.module.PdfModule</class>
</module>
<module>
<class>edu.harvard.hul.ois.jhove.module.Jpeg2000Module</class>
</module>
<module>
<class>edu.harvard.hul.ois.jhove.module.JpegModule</class>
</module>
<module>
<class>edu.harvard.hul.ois.jhove.module.GifModule</class>
</module>
<module>
<class>edu.harvard.hul.ois.jhove.module.TiffModule</class>
<param>byteoffset=true</param>
</module>
<module>
<class>edu.harvard.hul.ois.jhove.module.XmlModule</class>
<param>withTextMD=true</param>
</module>
<module>
<class>edu.harvard.hul.ois.jhove.module.HtmlModule</class>
<param>withTextMD=true</param>
</module>
<module>
<class>edu.harvard.hul.ois.jhove.module.AsciiModule</class>
<param>withTextMD=true</param>
</module>
<module>
<class>edu.harvard.hul.ois.jhove.module.Utf8Module</class>
<param>withTextMD=true</param>
</module>
</jhoveConfig>
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<?xml version="1.0" encoding="UTF-8"?>
<jhoveConfig version="1.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xmlns="http://hul.harvard.edu/ois/xml/ns/jhove/jhoveConfig"
xsi:schemaLocation="http://hul.harvard.edu/ois/xml/ns/jhove/jhoveConfig
http://hul.harvard.edu/ois/xml/xsd/jhove/1.4/jhoveConfig.xsd">
<jhoveHome>./jhove/</jhoveHome>
<defaultEncoding>utf-8</defaultEncoding>
<tempDirectory>/var/tmp</tempDirectory>
<bufferSize>131072</bufferSize>
<module>
<class>edu.harvard.hul.ois.jhove.module.AiffModule</class>
</module>
<module>
<class>edu.harvard.hul.ois.jhove.module.WaveModule</class>
</module>
<module>
<class>edu.harvard.hul.ois.jhove.module.PdfModule</class>
</module>
<module>
<class>edu.harvard.hul.ois.jhove.module.Jpeg2000Module</class>
</module>
<module>
<class>edu.harvard.hul.ois.jhove.module.JpegModule</class>
</module>
<module>
<class>edu.harvard.hul.ois.jhove.module.GifModule</class>
</module>
<module>
<class>edu.harvard.hul.ois.jhove.module.TiffModule</class>
</module>
<module>
<class>edu.harvard.hul.ois.jhove.module.XmlModule</class>
<param>schema=http://www.example.com/schema;/home/schemas/exampleschema.xsd</param>
</module>
<module>
<class>edu.harvard.hul.ois.jhove.module.HtmlModule</class>
</module>
<module>
<class>edu.harvard.hul.ois.jhove.module.AsciiModule</class>
</module>
<module>
<class>edu.harvard.hul.ois.jhove.module.Utf8Module</class>
</module>
</jhoveConfig>
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#!/usr/bin/perl
########################################################################
# Jhove - JSTOR/Harvard Object Validation Environment
# Copyright 2004 by JSTOR and the President and Fellows of Harvard College
#
# A Perl script for plugging local path information into the
# various script files of JHOVE, as well as conf/jhove.conf.
#
# This is configured only for Unix (including OS X).
#
# Usage: configure.pl jhove_home_directory [java_home_directory [java_runtime_directory]]
#
# If invoked with no arguments, it will output a usage message.
#
########################################################################
use File::Copy;
sub mung {
my $f = $_[0];
my $bak = $f . "~";
#If there is no backup file, copy the file to the
#backup. Otherwise work from the backup.
if (!(-e $bak)) {
rename ($f, $bak);
}
open (INFILE, $bak);
open (OUTFILE, ">" . $f);
#Walks through each line of file, making substitutions.
#Remember that the JAVA_HOME and JAVA arguments are optional.
while (<INFILE>) {
s/^JHOVE_HOME=.*/JHOVE_HOME=$ARGV[0]/;
if ($narg >= 2) {
s/^JAVA_HOME=.*/JAVA_HOME=$ARGV[1]/;
}
if ($narg >= 3) {
s/^JAVA=.*/JAVA=$ARGV[2]/;
}
print OUTFILE;
}
close (INFILE);
close (OUTFILE);
if (-e $f) {
print ("Fixed " . $f . "\n");
}
}
$narg = $#ARGV + 1;
if ($narg <= 0) {
print "Usage: configure.pl jhove_home_directory [java_home_directory [java_runtime_directory]]\n";
exit;
}
print "JHOVE_HOME will be set to " . $ARGV[0] . "\n";
if ($narg >= 2) {
print "JAVA_HOME will be set to " . $ARGV[1] . "\n";
}
if ($narg >= 3) {
print "JAVA will be set to " . $ARGV[2] . "\n";
}
mung ("jhove");
mung ("adump");
mung ("gdump");
mung ("jdump");
mung ("j2dump");
mung ("pdump");
mung ("tdump");
mung ("wdump");
#Fix up the config file. We assume that the <jhoveHome>
#element is all on one line.
if (!(-e "conf/jhove.conf~")) {
rename ("conf/jhove.conf", "conf/jhove.conf~");
}
open (INFILE, "conf/jhove.conf~");
open (OUTFILE, ">conf/jhove.conf");
while (<INFILE>) {
s!<jhoveHome>.*</jhoveHome>!<jhoveHome>$ARGV[0]</jhoveHome>!;
print OUTFILE;
}
close (INFILE);
close (OUTFILE);
if (-e "conf/jhove.conf") {
print "Fixed conf/jhove.conf\n";
}
exit;
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#!/bin/sh
########################################################################
# gdump - JSTOR/Harvard Object Validation Environment
# Copyright 2004-2005 by the President and Fellows of Harvard College
# JHOVE is made available under the GNU General Public License (see the
# file LICENSE for details)
#
# Driver script for the GIF dump utility
#
# Usage: gdump file
#
# where file is a GIF file
#
# Configuration constants:
JHOVE_HOME=/users/stephen/projects/jhove
JAVA_HOME=/usr/java # Java JRE directory
JAVA=$JAVA_HOME/bin/java # Java interpreter
EXTRA_JARS= # Extra .jar files to add to CLASSPATH
# NOTE: Nothing below this line should be edited
########################################################################
CP=${JHOVE_HOME}/bin/JhoveApp.jar:${EXTRA_JARS}
# Retrieve a copy of all command line arguments to pass to the application.
ARGS=""
for ARG do
ARGS="$ARGS $ARG"
done
# Set the CLASSPATH and invoke the Java loader.
${JAVA} -classpath $CP GDump $ARGS
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#!/bin/sh
########################################################################
# j2dump - JSTOR/Harvard Object Validation Environment
# Copyright 2004-2005 by the President and Fellows of Harvard College
# JHOVE is made available under the GNU General Public License (see the
# file LICENSE for details)
#
# Driver script for the JPEG 2000 dump utility
#
# Usage: j2dump file
#
# where file is a JPEG file
#
# Configuration constants:
JHOVE_HOME=/users/stephen/projects/jhove
JAVA_HOME=/usr/java # Java JRE directory
JAVA=$JAVA_HOME/bin/java # Java interpreter
EXTRA_JARS= # Extra .jar files to add to CLASSPATH
# NOTE: Nothing below this line should be edited
########################################################################
CP=${JHOVE_HOME}/bin/JhoveApp.jar:${EXTRA_JARS}
# Retrieve a copy of all command line arguments to pass to the application.
ARGS=""
for ARG do
ARGS="$ARGS $ARG"
done
# Set the CLASSPATH and invoke the Java loader.
${JAVA} -classpath $CP J2Dump $ARGS
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#!/bin/sh
########################################################################
# jdump - JSTOR/Harvard Object Validation Environment
# Copyright 2004-2005 by the President and Fellows of Harvard College
# JHOVE is made available under the GNU General Public License (see the
# file LICENSE for details)
#
# Driver script for the JPEG dump utility
#
# Usage: jdump file
#
# where file is a JPEG file
#
# Configuration constants:
JHOVE_HOME=/users/stephen/projects/jhove
JAVA_HOME=/usr/java # Java JRE directory
JAVA=$JAVA_HOME/bin/java # Java interpreter
EXTRA_JARS= # Extra .jar files to add to CLASSPATH
# NOTE: Nothing below this line should be edited
########################################################################
CP=${JHOVE_HOME}/bin/JhoveApp.jar:${EXTRA_JARS}
# Retrieve a copy of all command line arguments to pass to the application.
ARGS=""
for ARG do
ARGS="$ARGS $ARG"
done
# Set the CLASSPATH and invoke the Java loader.
${JAVA} -classpath $CP JDump $ARGS
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#!/bin/sh
########################################################################
# JHOVE - JSTOR/Harvard Object Validation Environment
# Copyright 2003-2005 by JSTOR and the President and Fellows of Harvard College
# JHOVE is made available under the GNU General Public License (see the
# file LICENSE for details)
#
# Usage: jhove [-c config] [-m module] [-h handler] [-e encoding] [-H handler]
# [-o output] [-x saxclass] [-t tempdir] [-b bufsize]
# [-l loglevel] [[-krs] dir-file-or-uri [...]]
#
# where -c config Configuration file pathname
# -m module Module name
# -h handler Output handler name (defaults to TEXT)
# -e encoding Character encoding of output handler (defaults to UTF-8)
# -H handler About handler name
# -o output Output file pathname (defaults to standard output)
# -x saxclass SAX parser class (defaults to J2SE 1.4 default)
# -t tempdir Temporary directory in which to create temporary files
# -b bufsize Buffer size for buffered I/O (defaults to J2SE 1.4 default)
# -k Calculate CRC32, MD5, and SHA-1 checksums
# -r Display raw data flags, not textual equivalents
# -s Format identification based on internal signatures only
# dir-file-or-uri Directory, file pathname or URI of formatted content
#
# CHANGE for JHOVE 1.8:
# You no longer have to figure out where JAVA_HOME is; that's the
# operating system's job. If the OS tells you it can't find Java,
# adjust your shell's path or revert to the old way (commented out).
# Configuration constants:
#JHOVE_HOME=/users/gary/dev/jhove
JHOVE_HOME=[fill in path to jhove directory]
JAVA_HOME=/usr/java # Java JRE directory -- change to your local java home
JAVA=$JAVA_HOME/bin/java # Java interpreter -- usually won't need change
#XTRA_JARS=/users/stephen/xercesImpl.jar
EXTRA_JARS= # Extra .jar files to add to CLASSPATH
# NOTE: Nothing below this line should be edited
########################################################################
CP=${JHOVE_HOME}/bin/JhoveApp.jar:${EXTRA_JARS}
# Retrieve a copy of all command line arguments to pass to the application.
ARGS=""
for ARG do
ARGS="$ARGS $ARG"
done
# Set the CLASSPATH and invoke the Java loader.
#{JAVA} -classpath $CP Jhove $ARGS -x org.apache.xerces.parsers.SAXParser
#${JAVA} -classpath $CP Jhove $ARGS
# New way, doesn't require you to use JAVA_HOME.
java -classpath $CP Jhove $ARGS
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#!/bin/sh
########################################################################
# JHOVE - JSTOR/Harvard Object Validation Environment
# Copyright 2003-2004 by JSTOR and the President and Fellows of Harvard College
# JHOVE is made available under the GNU General Public License (see the
# file LICENSE for details)
#
# Copy jhove.tmpl to jhove, and replace the value of JHOVE_HOME with
# the path to your jhove directory.
#
# Usage: jhove [-c config] [-m module [-p param]] [-h handler [-P param]]
# [-e encoding] [-H handler] [-o output] [-x saxclass]
# [-t tempdir] [-b bufsize] [[-krs] dir-file-or-uri [...]]
#
# where -c config Configuration file pathname
# -m module Module name
# -p param Module-specific parameter
# -h handler Output handler name (defaults to TEXT)
# -P param Handler-specific parameter
# -o output Output file pathname (defaults to standard output)
# -x saxclass SAX parser class (defaults to J2SE 1.4 default)
# -t tempdir Temporary directory in which to create temporary files
# -b bufsize Buffer size for buffered I/O (defaults to J2SE 1.4 default)
# -k Calculate CRC32, MD5, and SHA-1 checksums
# -r Display raw data flags, not textual equivalents
# -s Format identification based on internal signatures only
# dir-file-or-uri Directory, file pathname or URI of formatted content
#
# Configuration constants:
JHOVE_HOME=[your directory path]/jhove
JAVA_HOME=/usr/java
JAVA=/usr/bin/java
#XTRA_JARS=/users/stephen/xercesImpl.jar
EXTRA_JARS= # Extra .jar files to add to CLASSPATH
# NOTE: Nothing below this line should be edited
########################################################################
CP=${JHOVE_HOME}/bin/JhoveApp.jar:${EXTRA_JARS}
# Retrieve a copy of all command line arguments to pass to the application.
ARGS=""
for ARG do
ARGS="$ARGS $ARG"
done
# Set the CLASSPATH and invoke the Java loader.
#{JAVA} -classpath $CP Jhove $ARGS -x org.apache.xerces.parsers.SAXParser
${JAVA} -classpath $CP Jhove $ARGS
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@ECHO OFF
REM JHOVE - JSTOR/Harvard Object Validation Environment
REM Copyright 2003-2005 by JSTOR and the President and Fellows of Harvard College
REM JHOVE is made available under the GNU General Public License (see the
REM file LICENSE for details)
REM
REM Usage: jhove [-c config] [-m module] [-h handler] [-e encoding]
REM [-H handler] [-o output] [-x saxclass] [-t tempdir]
REM [-b bufsize] [-l loglevel] [[-krs] dir-file-or-uri [...]]
REM
REM For Windows systems, copy jhove_bat.tmpl to jhove.bat and change
REM the value of JHOVE_HOME to the path to your jhove directory.
REM
REM where -c config Configuration file pathname
REM -m module Module name
REM -h handler Output handler name (defaults to TEXT)
REM -e encoding Character encoding of output handler (defaults to UTF-8)
REM -H handler About handler name
REM -o output Output file pathname (defaults to standard output)
REM -x saxclass SAX parser class (defaults to J2SE 1.4 default)
REM -t tempdir Temporary directory in which to create temporary files
REM -b bufsize Buffer size for buffered I/O (defaults to J2SE default)
REM -l loglevel Logging level
REM -k Calculate CRC32, MD5, and SHA-1 checksums
REM -r Display raw data flags, not textual equivalents
REM -s Format identification based on internal signatures only
REM dir-file-or-uri Directory, file pathname, or URI of formatted content
REM
REM Configuration constants:
REM JHOVE_HOME Jhove installation directory
REM JAVA_HOME Java JRE directory
REM JAVA Java interpreter
REM EXTRA_JARS Extra jar files to add to CLASSPATH
REM SET JHOVE_HOME="C:\Program Files\jhove"
SET JHOVE_HOME="[your directory path]\jhove"
SET JAVA_HOME="C:\Program Files\java\j2re1.4.1_02"
SET JAVA=%JAVA_HOME%\bin\java
SET EXTRA_JARS=
REM NOTE: Nothing below this line should be edited
REM #########################################################################
SET CP=%JHOVE_HOME%\bin\JhoveApp.jar
IF "%EXTRA_JARS%"=="" GOTO FI
SET CP=%CP%:%EXTRA_JARS
:FI
REM Retrieve a copy of all command line arguments to pass to the application
SET ARGS=
:WHILE
IF "%1"=="" GOTO LOOP
SET ARGS=%ARGS% %1
SHIFT
GOTO WHILE
:LOOP
REM Set the CLASSPATH and invoke the Java loader
%JAVA% -classpath %CP% Jhove %ARGS%
Binary file not shown.
Binary file not shown.
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#!/usr/bin/perl -w
# Generate MD5 checksum
use Digest::MD5;
die "usage: md5.pl file\n" if $#ARGV < 0;
open (FILE, "<$ARGV[0]") or die "can't open file\"$ARGV[0]\"!\n";
$ctx = Digest::MD5->new->addfile (*FILE);
close (FILE);
$digest = $ctx->hexdigest;
print "$digest\n";
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#!/bin/sh
#DO NOT RUN THIS ON A DEVELOPEMENT DIRECTORY, ONLY ON A
#CHECKED-OUT COPY TO BE PACKAGED!
if [ "$1" = "" ]; then
echo "Usage: packagejhove.sh [version]"
echo "e.g., packagejhove.sh 1_8"
exit 1
fi
echo "This script will prepare your directory for uploading."
echo "DO NOT RUN IT unless you're a developer and know what"
echo "you are doing. "
echo "Start in the top-level directory of the JHOVE checkout."
echo "Run ant and ant javadoc and do any necessary testing and"
echo "committing before running this script."
echo
echo
echo "To continue, enter the secret phrase."
read OATH
if [ "$OATH" != "I solemnly swear that I am up to no good" ]; then
exit 1
fi
cd ..
cat >>CVSS << EOF
CVS
.cvsignore
EOF
tar cvfX jhove-$1.tar CVSS jhove
gzip jhove-$1.tar
cp -r jhove jhove-zip
cd jhove-zip
find . \( -name CVS -o -name .cvsignore \) -exec rm -r {} \;
cd ..
mv jhove jhove-ok
mv jhove-zip jhove
zip -r jhove-$1.zip jhove
rm -r jhove
mv jhove-ok jhove
jhove/md5.pl jhove-$1.tar.gz >jhove-$1.tar.gz.md5
jhove/md5.pl jhove-$1.zip >jhove-$1.zip.md5
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#!/bin/sh
########################################################################
# pdump - JSTOR/Harvard Object Validation Environment
# Copyright 2003-2005 by JSTOR and the President and Fellows of Harvard College
# JHOVE is made available under the GNU General Public License (see the
# file LICENSE for details)
#
# Driver script for the PDF dump utility
#
# Usage: pdump file
#
# where file is a PDF file
#
# Configuration constants:
JHOVE_HOME=/users/stephen/projects/jhove
JAVA_HOME=/usr/java # Java JRE directory
JAVA=$JAVA_HOME/bin/java # Java interpreter
EXTRA_JARS= # Extra .jar files to add to CLASSPATH
# NOTE: Nothing below this line should be edited
########################################################################
CP=${JHOVE_HOME}/bin/JhoveApp.jar:${EXTRA_JARS}
# Retrieve a copy of all command line arguments to pass to the application.
ARGS=""
for ARG do
ARGS="$ARGS $ARG"
done
# Set the CLASSPATH and invoke the Java loader.
${JAVA} -classpath $CP PDump $ARGS
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#!/bin/sh
########################################################################
# userhome - JSTOR/Harvard Object Validation Environment
# Copyright 2004-2006 by the President and Fellows of Harvard College
# JHOVE is made available under the GNU General Public License (see the
# file LICENSE for details)
#
# Driver script to display the default Java user.home property
#
# Usage: userhome
#
# Configuration constants:
JHOVE_HOME=/users/stephen/projects/jhove
JAVA_HOME=/usr/java # Java JRE directory
JAVA=$JAVA_HOME/bin/java # Java interpreter
# NOTE: Nothing below this line should be edited
########################################################################
# Set the CLASSPATH and invoke the Java loader.
${JAVA} -classpath ${JHOVE_HOME}/classes UserHome
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@@ -1,50 +0,0 @@
#!/usr/bin/env python3
# Original version by DeliciousPickle@github; modified
# This script must be edited to meet your needs.
import logging
import os
import sys
import ocrmypdf
# pylint: disable=logging-format-interpolation
# pylint: disable=logging-not-lazy
script_dir = os.path.dirname(os.path.realpath(__file__))
print(script_dir + '/batch.py: Start')
if len(sys.argv) > 1:
start_dir = sys.argv[1]
else:
start_dir = '.'
if len(sys.argv) > 2:
log_file = sys.argv[2]
else:
log_file = script_dir + '/ocr-tree.log'
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s %(message)s',
filename=log_file,
filemode='w',
)
ocrmypdf.configure_logging(ocrmypdf.Verbosity.default)
for dir_name, subdirs, file_list in os.walk(start_dir):
logging.info(dir_name + '\n')
os.chdir(dir_name)
for filename in file_list:
file_ext = os.path.splitext(filename)[1]
if file_ext == '.pdf':
full_path = dir_name + '/' + filename
print(full_path)
result = ocrmypdf.ocr(filename, filename, deskew=True)
if result == ocrmypdf.ExitCode.already_done_ocr:
print("Skipped document because it already contained text")
elif result == ocrmypdf.ExitCode.ok:
print("OCR complete")
logging.info(result)
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# ocrmypdf completion -*- shell-script -*-
set -o errexit
_ocrmypdf()
{
local cur prev cword words split
# Homebrew on Macs have version 1.3 of bash-completion which doesn't include - see #502
if declare -F _init_completions >/dev/null 2>&1; then
_init_completion -s || return
else
COMPREPLY=()
_get_comp_words_by_ref cur prev words cword
fi
if [[ $cur == -* ]]; then
COMPREPLY=( $( compgen -W '--language --image-dpi --output-type
--sidecar --version --jobs --quiet --verbose --title --author
--subject --keywords --rotate-pages --remove-background --deskew
--clean --clean-final --unpaper-args --oversample --remove-vectors
--threshold --force-ocr --skip-text --redo-ocr
--skip-big --jpeg-quality --png-quality --jbig2-lossy
--max-image-mpixels --tesseract-config --tesseract-pagesegmode
--help --tesseract-oem --pdf-renderer --tesseract-timeout
--rotate-pages-threshold --pdfa-image-compression --user-words
--user-patterns --keep-temporary-files --output-type
--no-progress-bar --pages --fast-web-view' \
-- "$cur" ) )
return
else
_filedir
return
fi
case $prev in
--version|-h|--help)
return
;;
--user-words|--user-patterns|--tesseract-config)
_filedir
return
;;
--output-type)
COMPREPLY=( $( compgen -W 'pdfa pdf pdfa-1 pdfa-2 pdfa-3' -- \
"$cur" ) )
return
;;
--pdf-renderer)
COMPREPLY=( $( compgen -W 'auto hocr sandwich' -- "$cur" ) )
return
;;
--pdfa-image-compression)
COMPREPLY=( $( compgen -W 'auto jpeg lossless' -- "$cur" ) )
return
;;
-O|--optimize|--tesseract-oem)
COMPREPLY=( $( compgen -W '{0..3}' -- "$cur" ) )
return
;;
--jpeg-quality|--png-quality)
COMPREPLY=( $( compgen -W '{0..100}' -- "$cur" ) )
return
;;
-l|--language)
COMPREPLY=$( command tesseract --list-langs 2>/dev/null )
COMPREPLY=( $( compgen -W '${COMPREPLY[@]##*:}' -- "$cur" ) )
return
;;
--image-dpi|--oversample|--skip-big|--max-image-mpixels|\
--tesseract-timeout|--rotate-pages-threshold)
COMPREPLY=( $( compgen -P "$cur" -W '{0..9}' ) )
return
;;
-j|--jobs)
COMPREPLY=( $( compgen -W '{1..'$( _ncpus )'}' -- "$cur" ) )
return
;;
-v|--verbose)
COMPREPLY=( $( compgen -W '{0..2}' -- "$cur" ) ) # max level ?
return
;;
--tesseract-pagesegmode)
COMPREPLY=( $( compgen -W '{1..13}' -- "$cur" ) )
return
;;
--sidecar|--title|--author|--subject|--keywords|--unpaper-args|--pages|--fast-web-view)
# argument required but no completions available
return
;;
esac
$split && return
} &&
complete -F _ocrmypdf ocrmypdf
set +o errexit
# ex: filetype=sh
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complete -c ocrmypdf -x -n '__fish_is_first_arg' -l version
complete -c ocrmypdf -x -n '__fish_is_first_arg' -s h -s "?" -l help
complete -c ocrmypdf -r -l sidecar -d "write OCR to text file"
complete -c ocrmypdf -x -s q -l quiet
complete -c ocrmypdf -s r -l rotate-pages -d "rotate pages to correct orientation"
complete -c ocrmypdf -s d -l deskew -d "fix small horizontal alignment skew"
complete -c ocrmypdf -s c -l clean -d "clean document images before OCR"
complete -c ocrmypdf -s i -l clean-final -d "clean document images and keep result"
complete -c ocrmypdf -l remove-vectors -d "don't send vector objects to OCR"
complete -c ocrmypdf -l threshold -d "threshold images before OCR"
complete -c ocrmypdf -s f -l force-ocr -d "OCR documents that already have printable text"
complete -c ocrmypdf -s s -l skip-ocr -d "skip OCR on pages that text, otherwise try OCR"
complete -c ocrmypdf -l redo-ocr -d "redo OCR on any pages that seem to have OCR already"
complete -c ocrmypdf -s k -l keep-temporary-files -d "keep temporary files (debug)"
function __fish_ocrmypdf_languages
set langs (tesseract --list-langs ^/dev/null)
set arr (string split '\n' $langs)
for lang in $arr[2..-1]
echo $lang
end
end
complete -c ocrmypdf -x -s l -l language -a '(__fish_ocrmypdf_languages)' -d "language"
complete -c ocrmypdf -x -l image-dpi -d "assume this DPI if input image DPI is unknown"
function __fish_ocrmypdf_output_type
echo -e "pdfa\t"(_ "output a PDF/A (default)")
echo -e "pdf\t"(_ "output a standard PDF")
echo -e "pdfa-1\t"(_ "output a PDF/A-1b")
echo -e "pdfa-2\t"(_ "output a PDF/A-2b")
echo -e "pdfa-3\t"(_ "output a PDF/A-3b")
end
complete -c ocrmypdf -x -l output-type -a '(__fish_ocrmypdf_output_type)' -d "select PDF output options"
function __fish_ocrmypdf_pdf_renderer
echo -e "auto\t"(_ "auto select PDF renderer")
echo -e "hocr\t"(_ "use hocr renderer")
echo -e "sandwich\t"(_ "use sandwich renderer")
end
complete -c ocrmypdf -x -l pdf-renderer -a '(__fish_ocrmypdf_pdf_renderer)' -d "select PDF renderer options"
function __fish_ocrmypdf_optimize
echo -e "0\t"(_ "do not optimize")
echo -e "1\t"(_ "do safe, lossless optimizations (default)")
echo -e "2\t"(_ "do some lossy optimizations")
echo -e "3\t"(_ "do aggressive lossy optimizations (including lossy JBIG2)")
end
complete -c ocrmypdf -x -s O -l optimize -a '(__fish_ocrmypdf_optimize)' -d "select optimization level"
function __fish_ocrmypdf_verbose
echo -e "0\t"(_ "standard output messages")
echo -e "1\t"(_ "troubleshooting output messages")
echo -e "2\t"(_ "debugging output messages")
end
complete -c ocrmypdf -x -s v -l verbose -a '(__fish_ocrmypdf_verbose)' -d "set verbosity level"
complete -c ocrmypdf -x -l no-progress-bar -d "disable the progress bar"
function __fish_ocrmypdf_pdfa_compression
echo -e "auto\t"(_ "let Ghostscript decide how to compress images")
echo -e "jpeg\t"(_ "convert color and grayscale images to JPEG")
echo -e "lossless\t"(_ "convert color and grayscale images to lossless (PNG)")
end
complete -c ocrmypdf -x -l pdfa-image-compression -a '(__fish_ocrmypdf_pdfa_compression)' -d "set PDF/A image compression options"
complete -c ocrmypdf -x -s j -l jobs -d "how many worker processes to use"
complete -c ocrmypdf -x -l title -d "set metadata"
complete -c ocrmypdf -x -l author -d "set metadata"
complete -c ocrmypdf -x -l subject -d "set metadata"
complete -c ocrmypdf -x -l keywords -d "set metadata"
complete -c ocrmypdf -x -l oversample -d "oversample images to this DPI"
complete -c ocrmypdf -x -l skip-big -d "skip OCR on pages larger than this many MPixels"
complete -c ocrmypdf -x -l jpeg-quality -d "JPEG quality [0..100]"
complete -c ocrmypdf -x -l png-quality -d "PNG quality [0..100]"
complete -c ocrmypdf -x -l jbig2-lossy -d "enable lossy JBIG2 (see docs)"
complete -c ocrmypdf -x -l max-image-mpixels -d "image decompression bomb threshold"
complete -c ocrmypdf -x -l pages -d "apply OCR to only the specified pages"
complete -c ocrmypdf -x -l tesseract-config -d "set custom tesseract config file"
function __fish_ocrmypdf_tesseract_pagesegmode
echo -e "0\t"(_ "orientation and script detection (OSD) only")
echo -e "1\t"(_ "automatic page segmentation with OSD")
echo -e "2\t"(_ "automatic page segmentation, but no OSD, or OCR")
echo -e "3\t"(_ "fully automatic page segmentation, but no OSD (default)")
echo -e "4\t"(_ "assume a single column of text of variable sizes")
echo -e "5\t"(_ "assume a single uniform block of vertically aligned text")
echo -e "6\t"(_ "assume a single uniform block of text")
echo -e "7\t"(_ "treat the image as a single text line")
echo -e "8\t"(_ "treat the image as a single word")
echo -e "9\t"(_ "treat the image as a single word in a circle")
echo -e "10\t"(_ "treat the image as a single character")
echo -e "11\t"(_ "sparse text - find as much text as possible in no particular order")
echo -e "12\t"(_ "sparse text with OSD")
echo -e "13\t"(_ "raw line - treat the image as a single text line")
end
complete -c ocrmypdf -x -l tesseract-pagesegmode -a '(__fish_ocrmypdf_tesseract_pagesegmode)' -d "set tesseract --psm"
function __fish_ocrmypdf_tesseract_oem
echo -e "0\t"(_ "legacy engine only")
echo -e "1\t"(_ "neural nets LSTM engine only")
echo -e "2\t"(_ "legacy + LSTM engines")
echo -e "3\t"(_ "default, based on what is available")
end
complete -c ocrmypdf -x -l tesseract-oem -a '(__fish_ocrmypdf_tesseract_oem)' -d "set tesseract --oem"
complete -c ocrmypdf -x -l tesseract-timeout -d "maximum number of seconds to wait for OCR"
complete -c ocrmypdf -x -l rotate-pages-threshold -d "page rotation confidence"
complete -c ocrmypdf -r -l user-words -d "specify location of user words file"
complete -c ocrmypdf -r -l user-patterns -d "specify location of user patterns file"
complete -c ocrmypdf -x -l fast-web-view -d "if file size if above this amount in MB, linearize PDF"
complete -c ocrmypdf -x -a "(__fish_complete_suffix .pdf)"
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@@ -1,15 +0,0 @@
---
version: "3.3"
services:
ocrmypdf:
restart: always
container_name: ocrmypdf
image: jbarlow83/ocrmypdf
volumes:
- "/media/scan:/input"
- "/mnt/scan:/output"
environment:
- OCR_OUTPUT_DIRECTORY_YEAR_MONT=0
user: "<SET TO YOUR USER ID>:<SET TO YOUR GROUP ID>"
entrypoint: python3
command: watcher.py
-53
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@@ -1,53 +0,0 @@
# © 2020 James R Barlow: https://github.com/jbarlow83
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
import logging
from PIL import Image
from ocrmypdf import hookimpl
log = logging.getLogger(__name__)
@hookimpl
def add_options(parser):
parser.add_argument('--grayscale-ocr', action='store_true')
@hookimpl
def prepare(options):
pass
@hookimpl
def validate(pdfinfo, options):
pass
@hookimpl
def filter_ocr_image(page, image):
if page.options.grayscale_ocr:
log.info("graying")
return image.convert('L')
return image
@hookimpl
def filter_page_image(page, image_filename):
output = image_filename.with_suffix('.jpg')
with Image.open(image_filename) as im:
im.save(output)
return output
-72
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@@ -1,72 +0,0 @@
#!/bin/env python3
# Contributed by github.com/Enantiomerie
# This script must be edited to meet your needs.
import logging
import os
import shutil
import subprocess
import sys
import time
# pylint: disable=logging-format-interpolation
# pylint: disable=logging-not-lazy
script_dir = os.path.dirname(os.path.realpath(__file__))
timestamp = time.strftime("%Y-%m-%d-%H%M_")
log_file = script_dir + '/' + timestamp + 'ocrmypdf.log'
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s %(message)s',
filename=log_file,
filemode='w',
)
if len(sys.argv) > 1:
start_dir = sys.argv[1]
else:
start_dir = '.'
for dir_name, subdirs, file_list in os.walk(start_dir):
logging.info(dir_name)
os.chdir(dir_name)
for filename in file_list:
file_stem, file_ext = os.path.splitext(filename)
if file_ext != '.pdf':
continue
full_path = os.path.join(dir_name, filename)
timestamp_ocr = time.strftime("%Y-%m-%d-%H%M_OCR_")
filename_ocr = timestamp_ocr + file_stem + '.pdf'
# create string for pdf processing
# the script is processed as root user via chron
cmd = [
'docker',
'run',
'--rm',
'-i',
'jbarlow83/ocrmypdf',
'--deskew',
'-',
'-',
]
logging.info(cmd)
full_path_ocr = os.path.join(dir_name, filename_ocr)
with open(filename, 'rb') as input_file, open(
full_path_ocr, 'wb'
) as output_file:
proc = subprocess.run(
cmd,
stdin=input_file,
stdout=output_file,
stderr=subprocess.PIPE,
check=False,
)
logging.info(proc.stderr.read())
os.chmod(full_path_ocr, 0o664)
os.chmod(full_path, 0o664)
full_path_ocr_archive = sys.argv[2]
full_path_archive = sys.argv[2] + '/no_ocr'
shutil.move(full_path_ocr, full_path_ocr_archive)
shutil.move(full_path, full_path_archive)
logging.info('Finished.\n')
-156
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@@ -1,156 +0,0 @@
# Copyright (C) 2019 Ian Alexander: https://github.com/ianalexander
# Copyright (C) 2020 James R Barlow: https://github.com/jbarlow83
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
import json
import logging
import os
import sys
import time
from datetime import datetime
from pathlib import Path
import pikepdf
from watchdog.events import PatternMatchingEventHandler
from watchdog.observers import Observer
from watchdog.observers.polling import PollingObserver
import ocrmypdf
# pylint: disable=logging-format-interpolation
INPUT_DIRECTORY = os.getenv('OCR_INPUT_DIRECTORY', '/input')
OUTPUT_DIRECTORY = os.getenv('OCR_OUTPUT_DIRECTORY', '/output')
OUTPUT_DIRECTORY_YEAR_MONTH = bool(os.getenv('OCR_OUTPUT_DIRECTORY_YEAR_MONTH', ''))
ON_SUCCESS_DELETE = bool(os.getenv('OCR_ON_SUCCESS_DELETE', ''))
DESKEW = bool(os.getenv('OCR_DESKEW', ''))
OCR_JSON_SETTINGS = json.loads(os.getenv('OCR_JSON_SETTINGS', '{}'))
POLL_NEW_FILE_SECONDS = int(os.getenv('OCR_POLL_NEW_FILE_SECONDS', '1'))
USE_POLLING = bool(os.getenv('OCR_USE_POLLING', ''))
LOGLEVEL = os.getenv('OCR_LOGLEVEL', 'INFO').upper()
PATTERNS = ['*.pdf']
log = logging.getLogger('ocrmypdf-watcher')
def get_output_dir(root, basename):
if OUTPUT_DIRECTORY_YEAR_MONTH:
today = datetime.today()
output_directory_year_month = (
Path(root) / str(today.year) / f'{today.month:02d}'
)
if not output_directory_year_month.exists():
output_directory_year_month.mkdir(parents=True, exist_ok=True)
output_path = Path(output_directory_year_month) / basename
else:
output_path = Path(OUTPUT_DIRECTORY) / basename
return output_path
def wait_for_file_ready(file_path):
# This loop waits to make sure that the file is completely loaded on
# disk before attempting to read. Docker sometimes will publish the
# watchdog event before the file is actually fully on disk, causing
# pikepdf to fail.
retries = 5
while retries:
try:
pdf = pikepdf.open(file_path)
except (FileNotFoundError, pikepdf.PdfError) as e:
log.info(f"File {file_path} is not ready yet")
log.debug("Exception was", exc_info=e)
time.sleep(POLL_NEW_FILE_SECONDS)
retries -= 1
else:
pdf.close()
return True
return False
def execute_ocrmypdf(file_path):
file_path = Path(file_path)
output_path = get_output_dir(OUTPUT_DIRECTORY, file_path.name)
log.info("-" * 20)
log.info(f'New file: {file_path}. Waiting until fully loaded...')
if not wait_for_file_ready(file_path):
log.info(f"Gave up waiting for {file_path} to become ready")
return
log.info(f'Attempting to OCRmyPDF to: {output_path}')
exit_code = ocrmypdf.ocr(
input_file=file_path,
output_file=output_path,
deskew=DESKEW,
**OCR_JSON_SETTINGS,
)
if exit_code == 0 and ON_SUCCESS_DELETE:
log.info(f'OCR is done. Deleting: {file_path}')
file_path.unlink()
else:
log.info('OCR is done')
class HandleObserverEvent(PatternMatchingEventHandler):
def on_any_event(self, event):
if event.event_type in ['created']:
execute_ocrmypdf(event.src_path)
def main():
ocrmypdf.configure_logging(
verbosity=ocrmypdf.Verbosity.default, manage_root_logger=True
)
log.setLevel(LOGLEVEL)
log.info(
f"Starting OCRmyPDF watcher with config:\n"
f"Input Directory: {INPUT_DIRECTORY}\n"
f"Output Directory: {OUTPUT_DIRECTORY}\n"
f"Output Directory Year & Month: {OUTPUT_DIRECTORY_YEAR_MONTH}"
)
log.debug(
f"INPUT_DIRECTORY: {INPUT_DIRECTORY}\n"
f"OUTPUT_DIRECTORY: {OUTPUT_DIRECTORY}\n"
f"OUTPUT_DIRECTORY_YEAR_MONTH: {OUTPUT_DIRECTORY_YEAR_MONTH}\n"
f"ON_SUCCESS_DELETE: {ON_SUCCESS_DELETE}\n"
f"DESKEW: {DESKEW}\n"
f"ARGS: {OCR_JSON_SETTINGS}\n"
f"POLL_NEW_FILE_SECONDS: {POLL_NEW_FILE_SECONDS}\n"
f"USE_POLLING: {USE_POLLING}\n"
f"LOGLEVEL: {LOGLEVEL}\n"
)
if 'input_file' in OCR_JSON_SETTINGS or 'output_file' in OCR_JSON_SETTINGS:
log.error('OCR_JSON_SETTINGS should not specify input file or output file')
sys.exit(1)
handler = HandleObserverEvent(patterns=PATTERNS)
if USE_POLLING:
observer = PollingObserver()
else:
observer = Observer()
observer.schedule(handler, INPUT_DIRECTORY, recursive=True)
observer.start()
try:
while True:
time.sleep(1)
except KeyboardInterrupt:
observer.stop()
observer.join()
if __name__ == "__main__":
main()
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# webservice.py wrapper for OCRmyPDF
# Copyright (C) 2019 James R. Barlow: github.com/jbarlow83
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
"""This is a simple web service/HTTP wrapper for OCRmyPDF
This may be more convenient than the command line tool for some Docker users.
Note that OCRmyPDF uses Ghostscript, which is licensed under AGPLv3+. While
OCRmyPDF is under GPLv3, this file is distributed under the Affero GPLv3+ license,
to emphasize that SaaS deployments should make sure they comply with
Ghostscript's license as well as OCRmyPDF's.
"""
import os
import shlex
from subprocess import PIPE, run
from tempfile import TemporaryDirectory
from flask import (
Flask,
Response,
abort,
flash,
redirect,
request,
send_from_directory,
url_for,
)
from werkzeug.utils import secure_filename
app = Flask(__name__)
app.secret_key = "secret"
app.config['MAX_CONTENT_LENGTH'] = 50_000_000
app.config.from_envvar("OCRMYPDF_WEBSERVICE_SETTINGS", silent=True)
ALLOWED_EXTENSIONS = set(["pdf"])
def allowed_file(filename):
return "." in filename and filename.rsplit(".", 1)[1].lower() in ALLOWED_EXTENSIONS
def do_ocrmypdf(file):
uploaddir = TemporaryDirectory(prefix="ocrmypdf-upload")
downloaddir = TemporaryDirectory(prefix="ocrmypdf-download")
filename = secure_filename(file.filename)
up_file = os.path.join(uploaddir.name, filename)
file.save(up_file)
down_file = os.path.join(downloaddir.name, filename)
cmd_args = [arg for arg in shlex.split(request.form["params"])]
if "--sidecar" in cmd_args:
return Response("--sidecar not supported", 501, mimetype='text/plain')
ocrmypdf_args = ["ocrmypdf", *cmd_args, up_file, down_file]
proc = run(ocrmypdf_args, stdout=PIPE, stderr=PIPE, encoding="utf-8")
if proc.returncode != 0:
stderr = proc.stderr
return Response(stderr, 400, mimetype='text/plain')
return send_from_directory(downloaddir.name, filename)
@app.route("/", methods=["GET", "POST"])
def upload_file():
if request.method == "POST":
if "file" not in request.files:
return Response("No file in POST", 400, mimetype='text/plain')
file = request.files["file"]
if file.filename == "":
return Response("Empty filename", 400, mimetype='text/plain')
if not allowed_file(file.filename):
return Response("Invalid filename", 400, mimetype='text/plain')
if file and allowed_file(file.filename):
return do_ocrmypdf(file)
return Response("Some other problem", 400, mimetype='text/plain')
return """
<!doctype html>
<title>OCRmyPDF webservice</title>
<h1>Upload a PDF (debug UI)</h1>
<form method=post enctype=multipart/form-data>
<label for="args">Command line parameters</label>
<input type=textbox name=params>
<label for="file">File to upload</label>
<input type=file name=file>
<input type=submit value=Upload>
</form>
<h4>Notice</h2>
<div style="font-size: 70%; max-width: 34em;">
<p>This is a webservice wrapper for OCRmyPDF.</p>
<p>Copyright 2019 James R. Barlow</p>
<p>This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
</p>
<p>This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
</p>
<p>
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see &lt;http://www.gnu.org/licenses/&gt;.
</p>
</div>
"""
if __name__ == "__main__":
app.run(host='0.0.0.0', port=5000)
-33
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@@ -1,33 +0,0 @@
[build-system]
requires = [
"setuptools >= 30.3.0",
"wheel",
"cffi",
"setuptools_scm",
"setuptools_scm_git_archive"
]
build-backend = "setuptools.build_meta"
[tool.black]
line-length = 88
target-version = ["py36", "py37", "py38"]
skip-string-normalization = true
include = '\.pyi?$'
exclude = '''
/(
\.eggs
| \.git
| \.hg
| \.mypy_cache
| \.tox
| \.venv
| _build
| buck-out
| build
| dist
| docs
| misc
| \.egg-info
| src/ocrmypdf/lib/_leptonica.py
)/
'''
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@@ -1,12 +0,0 @@
# requirements.txt can be used to replicate the developer's build environment
# setup.py lists a separate set of requirements that are looser to simplify
# installation
cffi == 1.14.0
coloredlogs == 14.0 # technically optional
img2pdf == 0.3.6
pdfminer.six == 20200517
pikepdf == 1.16.1
pluggy == 0.13.1
Pillow == 7.1.2
reportlab == 3.5.42
tqdm == 4.46.1
-7
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@@ -1,7 +0,0 @@
pytest >= 5.0.0
pytest-helpers-namespace >= 2019.1.8
pytest-xdist >= 1.31.0
pytest-cov >= 2.10.0
python-xmp-toolkit == 2.0.1 # requires apt-get install libexempi3
# or brew install exempi
#PyMuPDF == 1.13.4 # optional
-1
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@@ -1 +0,0 @@
watchdog == 0.10.2
-1
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@@ -1 +0,0 @@
Flask >= 1, < 2
-29
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@@ -1,29 +0,0 @@
[bdist_wheel]
python-tag = py35
[aliases]
test=pytest
[check-manifest]
ignore =
.github
[tool:pytest]
norecursedirs = lib .pc .git output cache resources
testpaths = tests
filterwarnings =
ignore:.*XMLParser.*:DeprecationWarning
markers =
slow
[isort]
multi_line_output=3
include_trailing_comma=True
force_grid_wrap=0
use_parentheses=True
line_length=88
known_first_party = ocrmypdf
known_third_party = PIL,_cffi_backend,cffi,flask,img2pdf,pdfminer,pikepdf,pkg_resources,pluggy,pytest,reportlab,setuptools,sphinx_rtd_theme,tqdm,watchdog,werkzeug
[metadata]
license_file = LICENSE
-103
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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
from setuptools import find_packages, setup
if sys.version_info < (3, 6):
print("Python 3.6 or newer is required", file=sys.stderr)
sys.exit(1)
if 'upload' in sys.argv[1:]:
print('Use twine to upload the package - setup.py upload is insecure')
sys.exit(1)
tests_require = open('requirements/test.txt', encoding='utf-8').read().splitlines()
def readme():
with open('README.md', encoding='utf-8') as f:
return f.read()
setup(
name='ocrmypdf',
description='OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched',
long_description=readme(),
long_description_content_type='text/markdown',
url='https://github.com/jbarlow83/OCRmyPDF',
author='James R. Barlow',
author_email='james@purplerock.ca',
packages=find_packages('src', exclude=["tests", "tests.*"]),
package_dir={'': 'src'},
keywords=['PDF', 'OCR', 'optical character recognition', 'PDF/A', 'scanning'],
classifiers=[
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Development Status :: 5 - Production/Stable",
"Environment :: Console",
"Intended Audience :: End Users/Desktop",
"Intended Audience :: Science/Research",
"Intended Audience :: System Administrators",
"License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
"Operating System :: MacOS :: MacOS X",
"Operating System :: Microsoft :: Windows :: Windows 10",
"Operating System :: POSIX",
"Operating System :: POSIX :: BSD",
"Operating System :: POSIX :: Linux",
"Topic :: Scientific/Engineering :: Image Recognition",
"Topic :: Text Processing :: Indexing",
"Topic :: Text Processing :: Linguistic",
],
python_requires=' >= 3.6',
setup_requires=[ # can be removed whenever we can drop pip 9 support
'cffi >= 1.9.1', # to build the leptonica module
'pytest-runner', # to enable python setup.py test
'setuptools_scm', # so that version will work
'setuptools_scm_git_archive', # enable version from github tarballs
],
use_scm_version={'version_scheme': 'post-release'},
cffi_modules=['src/ocrmypdf/lib/compile_leptonica.py:ffibuilder'],
install_requires=[
'cffi >= 1.9.1', # must be a setup and install requirement
'coloredlogs >= 14.0', # strictly optional
'img2pdf >= 0.3.0, < 0.4', # pure Python, so track HEAD closely
'pdfminer.six >= 20191110, <= 20200726',
'pikepdf >= 1.14.0, < 2',
'Pillow >= 7.0.0',
'pluggy >= 0.13.0',
'reportlab >= 3.3.0', # oldest released version with sane image handling
'tqdm >= 4',
],
tests_require=tests_require,
entry_points={'console_scripts': ['ocrmypdf = ocrmypdf.__main__:run']},
package_data={'ocrmypdf': ['data/sRGB.icc']},
include_package_data=True,
zip_safe=False,
project_urls={
'Documentation': 'https://ocrmypdf.readthedocs.io/',
'Source': 'https://github.com/jbarlow83/ocrmypdf',
'Tracker': 'https://github.com/jbarlow83/ocrmypdf/issues',
},
)
+183
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##############################################################################
# Copyright (c) 2013: fritz-hh from Github (https://github.com/fritz-hh)
#
# Copyright (c) 2010: Jonathan Brinley from Github (https://github.com/jbrinley/HocrConverter)
# Initial version by Jonathan Brinley, jonathanbrinley@gmail.com
##############################################################################
from reportlab.pdfgen.canvas import Canvas
from reportlab.lib.units import inch
from lxml import etree as ElementTree
import Image, re, sys
import argparse
class hocrTransform():
"""
A class for converting documents from the hOCR format.
For details of the hOCR format, see:
http://docs.google.com/View?docid=dfxcv4vc_67g844kf
"""
def __init__(self, hocrFileName, dpi):
self.dpi = dpi
self.boxPattern = re.compile('bbox((\s+\d+){4})')
self.hocr = ElementTree.ElementTree()
self.hocr.parse(hocrFileName)
# if the hOCR file has a namespace, ElementTree requires its use to find elements
matches = re.match('({.*})html', self.hocr.getroot().tag)
self.xmlns = ''
if matches:
self.xmlns = matches.group(1)
# get dimension in pt (not pixel!!!!) of the OCRed image
for div in self.hocr.findall(".//%sdiv[@class='ocr_page']"%(self.xmlns)):
coords = self.element_coordinates(div)
self.width = self.px2pt(coords[2]-coords[0])
self.height = self.px2pt(coords[3]-coords[1])
break # there shouldn't be more than one, and if there is, we don't want it
# no width and heigh definition in the ocr_image element of the hocr file
if self.width is None:
print "No page dimension found in the hocr file"
sys.exit(1)
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).encode('utf-8') # XML gives unicode
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 = text + element.text
for child in element.getchildren():
text = text + self._get_element_text(child)
if element.tail is not None:
text = text + element.tail
return text
def element_coordinates(self, 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 = self.boxPattern.search(element.attrib['title'])
if matches:
coords = matches.group(1).split()
out = (int(coords[0]),int(coords[1]),int(coords[2]),int(coords[3]))
return out
def px2pt(self, pxl):
"""
Returns the length in pt given length in pxl
"""
return float(pxl)/self.dpi*inch
def to_pdf(self, outFileName, imageFileName, showBoundingboxes, fontname="Helvetica"):
"""
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
pdf = Canvas(outFileName, pagesize=(self.width, self.height), pageCompression=1) # page size in points (1/72 in.)
# draw bounding box for each paragraph
pdf.setStrokeColorRGB(0,1,1) # light blue for bounding box of paragraph
pdf.setFillColorRGB(0,1,1) # light blue for bounding box of paragraph
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
coords = self.element_coordinates(elem)
x1=self.px2pt(coords[0])
y1=self.px2pt(coords[1])
x2=self.px2pt(coords[2])
y2=self.px2pt(coords[3])
# draw the bbox border
if showBoundingboxes == True:
pdf.rect(x1, self.height-y2, x2-x1, y2-y1, fill=1)
# check if element with class 'ocrx_word' are available
# otherwise use 'ocr_line' as fallback
elemclass="ocr_line"
if self.hocr.find(".//%sspan[@class='ocrx_word']" %(self.xmlns)) is not None:
elemclass="ocrx_word"
# itterate all text elements
pdf.setStrokeColorRGB(1,0,0) # light green for bounding box of word/line
pdf.setLineWidth(0.5) # bounding box line width
pdf.setDash(6,3) # bounding box is dashed
pdf.setFillColorRGB(0,0,0) # text in black
for elem in self.hocr.findall(".//%sspan[@class='%s']" % (self.xmlns, elemclass)):
elemtxt=self._get_element_text(elem).rstrip()
if len(elemtxt) == 0:
continue
coords = self.element_coordinates(elem)
x1=self.px2pt(coords[0])
y1=self.px2pt(coords[1])
x2=self.px2pt(coords[2])
y2=self.px2pt(coords[3])
# draw the bbox border
if showBoundingboxes == True:
pdf.rect(x1, self.height-y2, x2-x1, y2-y1, fill=0)
text = pdf.beginText()
fontsize=self.px2pt(coords[3]-coords[1])
text.setFont(fontname, fontsize)
# set cursor to bottom left corner of bbox (adjust for dpi)
text.setTextOrigin(x1, self.height-y2)
# scale the width of the text to fill the width of the bbox
text.setHorizScale(100*(x2-x1)/pdf.stringWidth(elemtxt, fontname, fontsize))
# write the text to the page
text.textLine(elemtxt)
pdf.drawText(text)
# put the image on the page, scaled to fill the page
if imageFileName != None:
im = Image.open(imageFileName)
pdf.drawInlineImage(im, 0, 0, width=self.width, height=self.height)
# finish up the page and save it
pdf.showPage()
pdf.save()
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('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)
-41
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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 pluggy import HookimplMarker as _HookimplMarker
from ocrmypdf import helpers, hocrtransform, leptonica, pdfa, pdfinfo
from ocrmypdf._version import PROGRAM_NAME, __version__
from ocrmypdf.api import Verbosity, configure_logging, ocr
from ocrmypdf.exceptions import (
BadArgsError,
DpiError,
EncryptedPdfError,
ExitCode,
ExitCodeException,
InputFileError,
MissingDependencyError,
OutputFileAccessError,
PdfMergeFailedError,
PriorOcrFoundError,
SubprocessOutputError,
TesseractConfigError,
UnsupportedImageFormatError,
)
from ocrmypdf.pluginspec import OcrEngine, OrientationConfidence
hookimpl = _HookimplMarker('ocrmypdf')
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#!/usr/bin/env python3
# © 2015-19 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
import logging
import os
import signal
import sys
from multiprocessing import set_start_method
from ocrmypdf import __version__
from ocrmypdf._plugin_manager import get_parser_options_plugins
from ocrmypdf._sync import run_pipeline
from ocrmypdf._validation import check_closed_streams, check_options
from ocrmypdf.api import Verbosity, configure_logging
from ocrmypdf.exceptions import (
BadArgsError,
ExitCode,
InputFileError,
MissingDependencyError,
)
log = logging.getLogger('ocrmypdf')
def sigbus(*args):
raise InputFileError("Lost access to the input file")
def run(args=None):
_parser, options, plugin_manager = get_parser_options_plugins(args=args)
if not check_closed_streams(options):
return ExitCode.bad_args
if hasattr(os, 'nice'):
os.nice(5)
verbosity = options.verbose
if not os.isatty(sys.stderr.fileno()):
options.progress_bar = False
if options.quiet:
verbosity = Verbosity.quiet
options.progress_bar = False
configure_logging(
verbosity, progress_bar_friendly=options.progress_bar, manage_root_logger=True
)
log.debug('ocrmypdf %s', __version__)
try:
check_options(options, plugin_manager)
except ValueError as e:
log.error(e)
return ExitCode.bad_args
except BadArgsError as e:
log.error(e)
return e.exit_code
except MissingDependencyError as e:
log.error(e)
return ExitCode.missing_dependency
if hasattr(signal, 'SIGBUS'):
signal.signal(signal.SIGBUS, sigbus)
result = run_pipeline(options=options, plugin_manager=plugin_manager)
return result
if __name__ == '__main__':
if sys.platform == 'darwin' and sys.version_info < (3, 8):
set_start_method('spawn') # see python bpo-33725
sys.exit(run())
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# © 2020 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
import logging
import logging.handlers
import multiprocessing
import os
import signal
import sys
import threading
from multiprocessing import Pool as ProcessPool
from multiprocessing.dummy import Pool as ThreadPool
from typing import Callable, Iterable, Optional
from tqdm import tqdm
from ocrmypdf.exceptions import InputFileError
def log_listener(queue):
"""Listen to the worker processes and forward the messages to logging
For simplicity this is a thread rather than a process. Only one process
should actually write to sys.stderr or whatever we're using, so if this is
made into a process the main application needs to be directed to it.
See https://docs.python.org/3/howto/logging-cookbook.html#logging-to-a-single-file-from-multiple-processes
"""
while True:
try:
record = queue.get()
if record is None:
break
logger = logging.getLogger(record.name)
logger.handle(record)
except Exception: # pylint: disable=broad-except
import traceback # pylint: disable=import-outside-toplevel
print("Logging problem", file=sys.stderr)
traceback.print_exc(file=sys.stderr)
def process_sigbus(*args):
raise InputFileError("A worker process lost access to an input file")
def process_init(queue, user_init):
"""Initialize a process pool worker"""
# Ignore SIGINT (our parent process will kill us gracefully)
signal.signal(signal.SIGINT, signal.SIG_IGN)
# Install SIGBUS handler (so our parent process can abort somewhat gracefully)
if hasattr(signal, 'SIGBUS'):
signal.signal(signal.SIGBUS, process_sigbus)
# Reconfigure the root logger for this process to send all messages to a queue
h = logging.handlers.QueueHandler(queue)
root = logging.getLogger()
root.handlers = []
root.addHandler(h)
if user_init:
user_init()
def thread_init(_queue, user_init):
# As a thread, block SIGBUS so the main thread deals with it...
if hasattr(signal, 'SIGBUS'):
signal.pthread_sigmask(signal.SIG_BLOCK, {signal.SIGBUS})
if user_init:
user_init()
def exec_progress_pool(
*,
use_threads: bool,
max_workers: int,
tqdm_kwargs: dict,
task_initializer: Optional[Callable] = None,
task: Optional[Callable] = None,
task_arguments: Optional[Iterable] = None,
task_finished: Optional[Callable] = None,
):
log_queue: multiprocessing.Queue = multiprocessing.Queue(-1)
listener = threading.Thread(target=log_listener, args=(log_queue,))
if use_threads:
pool_class = ThreadPool
initializer = thread_init
else:
pool_class = ProcessPool
initializer = process_init
listener.start()
with tqdm(**tqdm_kwargs) as pbar:
pool = pool_class(
processes=max_workers,
initializer=initializer,
initargs=(log_queue, task_initializer),
)
try:
results = pool.imap_unordered(task, task_arguments)
while True:
try:
result = results.next()
if task_finished:
task_finished(result, pbar)
else:
pbar.update()
except StopIteration:
break
except KeyboardInterrupt:
# Terminate pool so we exit instantly
pool.terminate()
# Don't try listener.join() here, will deadlock
raise
except Exception:
if not os.environ.get("PYTEST_CURRENT_TEST", ""):
# Unless inside pytest, exit immediately because no one wants
# to wait for child processes to finalize results that will be
# thrown away. Inside pytest, we want child processes to exit
# cleanly so that they output an error messages or coverage data
# we need from them.
pool.terminate()
raise
finally:
# Terminate log listener
log_queue.put_nowait(None)
pool.close()
pool.join()
listener.join()
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# © 2020 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
"""Manage third party executables"""
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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/>.
"""Interface to Ghostscript executable"""
import logging
import os
import re
from io import BytesIO
from os import fspath
from pathlib import Path
from shutil import which
from subprocess import PIPE, CalledProcessError
from typing import Optional, cast
from PIL import Image
from ocrmypdf.exceptions import MissingDependencyError, SubprocessOutputError
from ocrmypdf.helpers import Resolution
from ocrmypdf.subprocess import get_version, run
log = logging.getLogger(__name__)
_gswin = None
if os.name == 'nt':
_gswin = which('gswin64c')
if not _gswin:
_gswin = which('gswin32c')
if not _gswin:
raise MissingDependencyError(
"""
---------------------------------------------------------------------
This error normally occurs when ocrmypdf can't Ghostscript. Please
ensure Ghostscript is installed and its location is added to the
system PATH environment variable.
For details see:
https://ocrmypdf.readthedocs.io/en/latest/installation.html
---------------------------------------------------------------------
"""
)
_gswin = Path(_gswin).stem
GS = _gswin if _gswin else 'gs'
del _gswin
def version():
return get_version(GS)
def jpeg_passthrough_available() -> bool:
"""Returns True if the installed version of Ghostscript supports JPEG passthru
Prior to 9.23, Ghostscript decode and re-encoded JPEGs internally. In 9.23
it gained the ability to keep JPEGs unmodified. However, the 9.23
implementation was buggy and would deletes the last two bytes of images in
some cases, as reported here.
https://bugs.ghostscript.com/show_bug.cgi?id=699216
The issue was fixed for 9.24, hence that is the first version we consider
the feature available. (However, we don't use 9.24 at all, so the first
version that allows JPEG passthrough is 9.25.
"""
return version() >= '9.24'
def _gs_error_reported(stream) -> bool:
return True if re.search(r'error', stream, flags=re.IGNORECASE) else False
def rasterize_pdf(
input_file: os.PathLike,
output_file: os.PathLike,
*,
raster_device: str,
raster_dpi: Resolution,
pageno: int = 1,
page_dpi: Resolution = None,
rotation: int = None,
filter_vector: bool = False,
):
"""Rasterize one page of a PDF at resolution raster_dpi in canvas units."""
raster_dpi = raster_dpi.round(6)
if not page_dpi:
page_dpi = raster_dpi
args_gs = (
[
GS,
'-dQUIET',
'-dSAFER',
'-dBATCH',
'-dNOPAUSE',
f'-sDEVICE={raster_device}',
f'-dFirstPage={pageno}',
f'-dLastPage={pageno}',
f'-r{raster_dpi.x:f}x{raster_dpi.y:f}',
]
+ (['-dFILTERVECTOR'] if filter_vector else [])
+ [
'-o',
'-',
'-sstdout=%stderr',
'-dAutoRotatePages=/None', # Probably has no effect on raster
'-f',
fspath(input_file),
]
)
try:
p = run(args_gs, stdout=PIPE, stderr=PIPE, check=True)
except CalledProcessError as e:
log.error(e.stderr.decode(errors='replace'))
raise SubprocessOutputError('Ghostscript rasterizing failed')
else:
stderr = p.stderr.decode(errors='replace')
if _gs_error_reported(stderr):
log.error(stderr)
elif stderr:
log.debug(stderr)
with Image.open(BytesIO(p.stdout)) as im:
if rotation is not None:
log.debug("Rotating output by %i", rotation)
# rotation is a clockwise angle and Image.ROTATE_* is
# counterclockwise so this cancels out the rotation
if rotation == 90:
im = im.transpose(Image.ROTATE_90)
elif rotation == 180:
im = im.transpose(Image.ROTATE_180)
elif rotation == 270:
im = im.transpose(Image.ROTATE_270)
if rotation % 180 == 90:
page_dpi = page_dpi.flip_axis()
im.save(fspath(output_file), dpi=page_dpi)
def generate_pdfa(
pdf_pages,
output_file: os.PathLike,
compression: str,
pdf_version: str = '1.5',
pdfa_part: str = '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",
]
# Older versions of Ghostscript expect a leading slash in
# sColorConversionStrategy, newer ones should not have it. See Ghostscript
# git commit fe1c025d.
strategy = 'RGB' if version() >= '9.19' else '/RGB'
if version() == '9.23':
# 9.23: new feature JPEG passthrough is broken in some cases, best to
# disable it always
# https://bugs.ghostscript.com/show_bug.cgi?id=699216
compression_args.append('-dPassThroughJPEGImages=false')
# nb no need to specify ProcessColorModel when ColorConversionStrategy
# is set; see:
# https://bugs.ghostscript.com/show_bug.cgi?id=699392
args_gs = (
[
GS,
"-dQUIET",
"-dBATCH",
"-dNOPAUSE",
"-dSAFER",
"-dCompatibilityLevel=" + str(pdf_version),
"-sDEVICE=pdfwrite",
"-dAutoRotatePages=/None",
"-sColorConversionStrategy=" + strategy,
]
+ compression_args
+ [
"-dJPEGQ=95",
"-dPDFA=" + pdfa_part,
"-dPDFACompatibilityPolicy=1",
"-o",
"-",
"-sstdout=%stderr",
]
)
args_gs.extend(fspath(s) for s in pdf_pages) # Stringify Path objs
try:
with Path(output_file).open('wb') as output:
p = run(args_gs, stdout=output, stderr=PIPE, check=True)
except CalledProcessError as e:
# Ghostscript does not change return code when it fails to create
# PDF/A - check PDF/A status elsewhere
log.error(e.stderr.decode(errors='replace'))
raise SubprocessOutputError('Ghostscript PDF/A rendering failed')
else:
stderr = p.stderr.decode('utf-8', errors='replace')
if _gs_error_reported(stderr):
last_part = None
repcount = 0
for part in stderr.split('****'):
if part != last_part:
if repcount > 1:
log.error(f"(previous error message repeated {repcount} times)")
repcount = 0
log.error(part)
else:
repcount += 1
last_part = part
elif 'overprint mode not set' in stderr:
# Unless someone is going to print PDF/A documents on a
# magical sRGB printer I can't see the removal of overprinting
# being a problem....
log.debug(
"Ghostscript had to remove PDF 'overprinting' from the "
"input file to complete PDF/A conversion. "
)
-59
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# © 2018 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
"""Interface to jbig2 executable"""
from subprocess import PIPE
from ocrmypdf.exceptions import MissingDependencyError
from ocrmypdf.subprocess import get_version, run
def version():
return get_version('jbig2', regex=r'jbig2enc (\d+(\.\d+)*).*')
def available():
try:
version()
except MissingDependencyError:
return False
return True
def convert_group(*, cwd, infiles, out_prefix):
args = [
'jbig2',
'-b',
out_prefix,
'-s', # symbol mode (lossy)
# '-r', # refinement mode (lossless symbol mode, currently disabled in
# jbig2)
'-p',
]
args.extend(infiles)
proc = run(args, cwd=cwd, stdout=PIPE, stderr=PIPE)
proc.check_returncode()
return proc
def convert_single(*, cwd, infile, outfile):
args = ['jbig2', '-p', infile]
with open(outfile, 'wb') as fstdout:
proc = run(args, cwd=cwd, stdout=fstdout, stderr=PIPE)
proc.check_returncode()
return proc
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# © 2018 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
"""Interface to pngquant executable"""
from os import fspath
from tempfile import NamedTemporaryFile
from PIL import Image
from ocrmypdf.exceptions import MissingDependencyError
from ocrmypdf.subprocess import get_version, run
def version():
return get_version('pngquant', regex=r'(\d+(\.\d+)*).*')
def available():
try:
version()
except MissingDependencyError:
return False
return True
def quantize(input_file, output_file, quality_min, quality_max):
input_file = fspath(input_file)
output_file = fspath(output_file)
if input_file.endswith('.jpg'):
with Image.open(input_file) as im, NamedTemporaryFile(suffix='.png') as tmp:
im.save(tmp)
args = [
'pngquant',
'--force',
'--skip-if-larger',
'--output',
output_file,
'--quality',
f'{quality_min}-{quality_max}',
'--',
tmp.name,
]
run(args)
else:
args = [
'pngquant',
'--force',
'--skip-if-larger',
'--output',
output_file,
'--quality',
f'{quality_min}-{quality_max}',
'--',
input_file,
]
run(args)
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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/>.
"""Interface to Tesseract executable"""
import logging
import os
import shutil
from collections import namedtuple
from os import fspath
from pathlib import Path
from subprocess import PIPE, STDOUT, CalledProcessError, TimeoutExpired
from typing import List
from PIL import Image
from ocrmypdf.exceptions import (
MissingDependencyError,
SubprocessOutputError,
TesseractConfigError,
)
from ocrmypdf.subprocess import get_version, run
log = logging.getLogger(__name__)
OrientationConfidence = namedtuple('OrientationConfidence', ('angle', 'confidence'))
HOCR_TEMPLATE = """<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
"http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en">
<head>
<title></title>
<meta http-equiv="Content-Type" content="text/html;charset=utf-8" />
<meta name='ocr-system' content='tesseract 4.0.0' />
<meta name='ocr-capabilities' content='ocr_page ocr_carea ocr_par ocr_line ocrx_word ocrp_wconf'/>
</head>
<body>
<div class='ocr_page' id='page_1' title='image "_blank.png"; bbox 0 0 {0} {1}; ppageno 0'>
</div>
</body>
</html>
"""
class TesseractLoggerAdapter(logging.LoggerAdapter):
def process(self, msg, kwargs):
kwargs['extra'] = self.extra
return '[tesseract] %s' % (msg), kwargs
def version():
return get_version('tesseract', regex=r'tesseract\s(.+)')
def has_textonly_pdf(langs=None):
"""Does Tesseract have textonly_pdf capability?
Available in v4.00.00alpha since January 2017. Best to
parse the parameter list.
"""
args_tess = tess_base_args(langs, engine_mode=None) + ['--print-parameters', 'pdf']
params = ''
try:
proc = run(args_tess, check=True, stdout=PIPE, stderr=STDOUT)
params = proc.stdout
except CalledProcessError as e:
raise MissingDependencyError(
"Could not --print-parameters from tesseract. This can happen if the "
"TESSDATA_PREFIX environment is not set to a valid tessdata folder. "
) from e
if b'textonly_pdf' in params:
return True
return False
def has_user_words():
"""Does Tesseract have --user-words capability?
Not available in 4.0, but available in 4.1. Also available in 3.x, but
we no longer support 3.x.
"""
return version() >= '4.1'
def get_languages():
def lang_error(output):
msg = (
"Tesseract failed to report available languages.\n"
"Output from Tesseract:\n"
"-----------\n"
)
msg += output
return msg
args_tess = ['tesseract', '--list-langs']
try:
proc = run(
args_tess, universal_newlines=True, stdout=PIPE, stderr=STDOUT, check=True
)
output = proc.stdout
except CalledProcessError as e:
raise MissingDependencyError(lang_error(e.output)) from e
for line in output.splitlines():
if line.startswith('Error'):
raise MissingDependencyError(lang_error(output))
_header, *rest = output.splitlines()
return set(lang.strip() for lang in rest)
def tess_base_args(langs: List[str], engine_mode: int) -> List[str]:
args = ['tesseract']
if langs:
args.extend(['-l', '+'.join(langs)])
if engine_mode is not None:
args.extend(['--oem', str(engine_mode)])
return args
def get_orientation(input_file: Path, engine_mode: int, timeout: float):
args_tesseract = tess_base_args(['osd'], engine_mode) + [
'--psm',
'0',
fspath(input_file),
'stdout',
]
try:
p = run(args_tesseract, stdout=PIPE, stderr=STDOUT, timeout=timeout, check=True)
stdout = p.stdout
except TimeoutExpired:
return OrientationConfidence(angle=0, confidence=0.0)
except CalledProcessError as e:
tesseract_log_output(e.stdout)
tesseract_log_output(e.stderr)
if (
b'Too few characters. Skipping this page' in e.output
or b'Image too large' in e.output
):
return OrientationConfidence(0, 0)
raise SubprocessOutputError() from e
else:
osd = {}
for line in stdout.decode().splitlines():
line = line.strip()
parts = line.split(':', maxsplit=2)
if len(parts) == 2:
osd[parts[0].strip()] = parts[1].strip()
angle = int(osd.get('Orientation in degrees', 0))
oc = OrientationConfidence(
angle=angle, confidence=float(osd.get('Orientation confidence', 0))
)
return oc
def tesseract_log_output(stream):
tlog = TesseractLoggerAdapter(
log, extra=log.extra if hasattr(log, 'extra') else None
)
if not stream:
return
try:
text = stream.decode()
except UnicodeDecodeError:
text = stream.decode('utf-8', 'ignore')
lines = text.splitlines()
for line in lines:
if line.startswith("Tesseract Open Source"):
continue
elif line.startswith("Warning in pixReadMem"):
continue
elif 'diacritics' in line:
tlog.warning("lots of diacritics - possibly poor OCR")
elif line.startswith('OSD: Weak margin'):
tlog.warning("unsure about page orientation")
elif 'Error in pixScanForForeground' in line:
pass # Appears to be spurious/problem with nonwhite borders
elif 'Error in boxClipToRectangle' in line:
pass # Always appears with pixScanForForeground message
elif 'parameter not found: ' in line.lower():
tlog.error(line.strip())
problem = line.split('found: ')[1]
raise TesseractConfigError(problem)
elif 'error' in line.lower() or 'exception' in line.lower():
tlog.error(line.strip())
elif 'warning' in line.lower():
tlog.warning(line.strip())
elif 'read_params_file' in line.lower():
tlog.error(line.strip())
else:
tlog.info(line.strip())
def page_timedout(timeout):
if timeout == 0:
return
log.warning("[tesseract] took too long to OCR - skipping")
def _generate_null_hocr(output_hocr, output_text, image):
"""Produce a .hocr file that reports no text detected on a page that is
the same size as the input image."""
with Image.open(image) as im:
w, h = im.size
output_hocr.write_text(HOCR_TEMPLATE.format(w, h), encoding='utf-8')
output_text.write_text('[skipped page]', encoding='utf-8')
def generate_hocr(
input_file: Path,
output_hocr: Path,
output_text: Path,
languages: List[str],
engine_mode: int,
tessconfig: List[str],
timeout: float,
pagesegmode: int,
user_words,
user_patterns,
):
prefix = output_hocr.with_suffix('')
args_tesseract = tess_base_args(languages, 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 test plugins will break after any changes
# to the number of order parameters here
args_tesseract.extend([input_file, prefix, 'hocr', 'txt'] + tessconfig)
try:
p = run(args_tesseract, stdout=PIPE, stderr=STDOUT, timeout=timeout, check=True)
stdout = p.stdout
except TimeoutExpired:
# Generate a HOCR file with no recognized text if tesseract times out
# Temporary workaround to hocrTransform not being able to function if
# it does not have a valid hOCR file.
page_timedout(timeout)
_generate_null_hocr(output_hocr, output_text, input_file)
except CalledProcessError as e:
tesseract_log_output(e.output)
if b'Image too large' in e.output:
_generate_null_hocr(output_hocr, output_text, input_file)
return
raise SubprocessOutputError() from e
else:
tesseract_log_output(stdout)
# The sidecar text file will get the suffix .txt; rename it to
# whatever caller wants it named
if prefix.with_suffix('.txt').exists():
shutil.move(prefix.with_suffix('.txt'), output_text)
def use_skip_page(output_pdf, output_text):
output_text.write_text('[skipped page]', encoding='utf-8')
# A 0 byte file to the output to indicate a skip
output_pdf.write_bytes(b'')
def generate_pdf(
*,
input_file: Path,
output_pdf: Path,
output_text: Path,
languages: List[str],
engine_mode: int,
tessconfig: List[str],
timeout: float,
pagesegmode: int,
user_words,
user_patterns,
):
"""Use Tesseract to render a PDF.
input_file -- image to analyze
output_pdf -- file to generate
output_text -- OCR text file
languages -- list of languages to consider
engine_mode -- engine mode argument for tess v4
tessconfig -- tesseract configuration
timeout -- timeout (seconds)
"""
args_tesseract = tess_base_args(languages, engine_mode)
if pagesegmode is not None:
args_tesseract.extend(['--psm', str(pagesegmode)])
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 test plugins might break after any changes
# to the number of order parameters here
args_tesseract.extend([input_file, prefix, 'pdf', 'txt'] + tessconfig)
try:
p = run(args_tesseract, stdout=PIPE, stderr=STDOUT, timeout=timeout, check=True)
stdout = p.stdout
if os.path.exists(prefix + '.txt'):
shutil.move(prefix + '.txt', output_text)
except TimeoutExpired:
page_timedout(timeout)
use_skip_page(output_pdf, output_text)
except CalledProcessError as e:
tesseract_log_output(e.output)
if b'Image too large' in e.output:
use_skip_page(output_pdf, output_text)
return
raise SubprocessOutputError() from e
else:
tesseract_log_output(stdout)
-139
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# © 2015 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
# unpaper documentation:
# https://github.com/Flameeyes/unpaper/blob/master/doc/basic-concepts.md
"""Interface to unpaper executable"""
import logging
import os
import shlex
from pathlib import Path
from subprocess import PIPE, STDOUT, CalledProcessError
from tempfile import TemporaryDirectory
from typing import Tuple
from PIL import Image
from ocrmypdf.exceptions import MissingDependencyError, SubprocessOutputError
from ocrmypdf.subprocess import get_version
from ocrmypdf.subprocess import run as external_run
log = logging.getLogger(__name__)
def version():
return get_version('unpaper')
def _setup_unpaper_io(tmpdir: Path, input_file: Path) -> Tuple[Path, Path]:
SUFFIXES = {'1': '.pbm', 'L': '.pgm', 'RGB': '.ppm'}
with Image.open(input_file) as im:
im_modified = False
if im.mode not in SUFFIXES:
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:
raise MissingDependencyError(
"Could not convert image with type " + im.mode
) from e
else:
im_modified = True
try:
suffix = SUFFIXES[im.mode]
except KeyError:
raise MissingDependencyError(
"Failed to convert image to a supported format."
) from e
if im_modified or input_file.suffix != '.png':
input_png = tmpdir / 'input.png'
im.save(input_png, format='PNG', compress_level=1)
else:
# No changes, PNG input, just use the file we already have
input_png = input_file
output_pnm = tmpdir / f'output{suffix}'
return input_png, output_pnm
def run(input_file, output_file, dpi, mode_args):
args_unpaper = ['unpaper', '-v', '--dpi', str(dpi)] + mode_args
with TemporaryDirectory() as tmpdir:
input_png, output_pnm = _setup_unpaper_io(Path(tmpdir), input_file)
# To prevent any shenanigans from accepting arbitrary parameters in
# --unpaper-args, we:
# 1) run with cwd set to a tmpdir with only unpaper's files
# 2) forbid the use of '/' in arguments, to prevent changing paths
# 3) append absolute paths for the input and output file
# This should ensure that a user cannot clobber some other file with
# their unpaper arguments (whether intentionally or otherwise)
args_unpaper.extend([os.fspath(input_png), os.fspath(output_pnm)])
try:
proc = external_run(
args_unpaper,
check=True,
close_fds=True,
universal_newlines=True,
stderr=STDOUT, # unpaper writes logging output to stdout and stderr
cwd=tmpdir, # and cannot send file output to stdout
stdout=PIPE,
)
except CalledProcessError as e:
log.debug(e.stderr)
raise e from e
else:
log.debug(proc.stderr)
try:
with Image.open(output_pnm) as imout:
imout.save(output_file, dpi=(dpi, dpi))
except (FileNotFoundError, OSError):
raise SubprocessOutputError(
"unpaper: failed to produce the expected output file. "
+ " Called with: "
+ str(args_unpaper)
) from None
def validate_custom_args(args: str):
unpaper_args = shlex.split(args)
if any('/' in arg for arg in unpaper_args):
raise ValueError('No filenames allowed in --unpaper-args')
return unpaper_args
def clean(input_file, output_file, dpi, unpaper_args=None):
default_args = [
'--layout',
'none',
'--mask-scan-size',
'100', # don't blank out narrow columns
'--no-border-align', # don't align visible content to borders
'--no-mask-center', # don't center visible content within page
'--no-grayfilter', # don't remove light gray areas
'--no-blackfilter', # don't remove solid black areas
'--no-deskew', # don't deskew
]
if not unpaper_args:
unpaper_args = default_args
run(input_file, output_file, dpi, unpaper_args)
-301
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@@ -1,301 +0,0 @@
# © 2018 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
import logging
from contextlib import suppress
from pathlib import Path
from typing import Optional
import pikepdf
log = logging.getLogger(__name__)
MAX_REPLACE_PAGES = 100
def _update_page_resources(*, page, font, font_key, procset):
"""Update this page's fonts with a reference to the Glyphless font"""
if '/Resources' not in page:
page['/Resources'] = pikepdf.Dictionary({})
resources = page['/Resources']
try:
fonts = resources['/Font']
except KeyError:
fonts = pikepdf.Dictionary({})
if font_key is not None and font_key not in fonts:
fonts[font_key] = font
resources['/Font'] = fonts
# Reassign /ProcSet to one that just lists everything - ProcSet is
# obsolete and doesn't matter but recommended for old viewer support
resources['/ProcSet'] = procset
def strip_invisible_text(pdf, page):
stream = []
in_text_obj = False
render_mode = 0
text_objects = []
page.page_contents_coalesce()
for operands, operator in pikepdf.parse_content_stream(page, ''):
if not in_text_obj:
if operator == pikepdf.Operator('BT'):
in_text_obj = True
render_mode = 0
text_objects.append((operands, operator))
else:
stream.append((operands, operator))
else:
if operator == pikepdf.Operator('Tr'):
render_mode = operands[0]
text_objects.append((operands, operator))
if operator == pikepdf.Operator('ET'):
in_text_obj = False
if render_mode != 3:
stream.extend(text_objects)
text_objects.clear()
def convert(op):
try:
return op.unparse()
except AttributeError:
return str(op).encode('ascii')
lines = []
for operands, operator in stream:
if operator == pikepdf.Operator('INLINE IMAGE'):
iim = operands[0]
line = iim.unparse()
else:
line = b' '.join(convert(op) for op in operands) + b' ' + operator.unparse()
lines.append(line)
content_stream = b'\n'.join(lines)
page.Contents = pikepdf.Stream(pdf, content_stream)
class OcrGrafter:
def __init__(self, context):
self.context = context
self.path_base = context.origin
self.pdf_base = pikepdf.open(self.path_base)
self.font, self.font_key = None, None
self.pdfinfo = context.pdfinfo
self.output_file = context.get_path('graft_layers.pdf')
self.procset = self.pdf_base.make_indirect(
pikepdf.Object.parse(b'[ /PDF /Text /ImageB /ImageC /ImageI ]')
)
self.emplacements = 1
self.interim_count = 0
def graft_page(
self,
*,
pageno: int,
image: Optional[Path],
textpdf: Optional[Path],
autorotate_correction: int,
):
if textpdf and not self.font:
self.font, self.font_key = self._find_font(textpdf)
emplaced_page = False
content_rotation = self.pdfinfo[pageno].rotation
path_image = Path(image).resolve() if image else None
if path_image is not None and path_image != self.path_base:
# We are updating the old page with a rasterized PDF of the new
# page (without changing objgen, to preserve references)
log.debug("Emplacement update")
with pikepdf.open(image) as pdf_image:
self.emplacements += 1
foreign_image_page = pdf_image.pages[0]
self.pdf_base.pages.append(foreign_image_page)
local_image_page = self.pdf_base.pages[-1]
self.pdf_base.pages[pageno].emplace(local_image_page)
del self.pdf_base.pages[-1]
emplaced_page = True
if emplaced_page:
content_rotation = autorotate_correction
text_rotation = autorotate_correction
text_misaligned = (text_rotation - content_rotation) % 360
log.debug(
f"Rotations for page {pageno}: [text, auto, misalign, content] = "
f"{text_rotation}, {autorotate_correction}, "
f"{text_misaligned}, {content_rotation}"
)
if textpdf and self.font:
# Graft the text layer onto this page, whether new or old
strip_old = self.context.options.redo_ocr
self._graft_text_layer(
page_num=pageno + 1,
textpdf=textpdf,
font=self.font,
font_key=self.font_key,
rotation=text_misaligned,
procset=self.procset,
strip_old_text=strip_old,
)
# Correct the rotation if applicable
self.pdf_base.pages[pageno].Rotate = (
content_rotation - autorotate_correction
) % 360
if self.emplacements % MAX_REPLACE_PAGES == 0:
self.save_and_reload()
def save_and_reload(self):
"""Save and reload the Pdf.
This will keep a lid on our memory usage for very large files. Attach
the font to page 1 even if page 1 doesn't use it, so we have a way to get it
back.
"""
page0 = self.pdf_base.pages[0]
_update_page_resources(
page=page0, font=self.font, font_key=self.font_key, procset=self.procset
)
# We cannot read and write the same file, that will corrupt it
# but we don't to keep more copies than we need to. Delete intermediates.
# {interim_count} is the opened file we were updateing
# {interim_count - 1} can be deleted
# {interim_count + 1} is the new file will produce and open
old_file = self.output_file.with_suffix(f'.working{self.interim_count - 1}.pdf')
if not self.context.options.keep_temporary_files:
with suppress(FileNotFoundError):
old_file.unlink()
next_file = self.output_file.with_suffix(
f'.working{self.interim_count + 1}.pdf'
)
self.pdf_base.save(next_file)
self.pdf_base.close()
self.pdf_base = pikepdf.open(next_file)
self.procset = self.pdf_base.pages[0].Resources.ProcSet
self.font, self.font_key = None, None # Ensure we reacquire this information
self.interim_count += 1
def finalize(self):
self.pdf_base.save(self.output_file)
self.pdf_base.close()
return self.output_file
def _find_font(self, text):
"""Copy a font from the filename text into pdf_base"""
font, font_key = None, None
possible_font_names = ('/f-0-0', '/F1')
try:
with pikepdf.open(text) as pdf_text:
try:
pdf_text_fonts = pdf_text.pages[0].Resources.get('/Font', {})
except (AttributeError, IndexError, KeyError):
return None, None
for f in possible_font_names:
pdf_text_font = pdf_text_fonts.get(f, None)
if pdf_text_font is not None:
font_key = f
break
if pdf_text_font:
font = self.pdf_base.copy_foreign(pdf_text_font)
return font, font_key
except (FileNotFoundError, pikepdf.PdfError):
# PdfError occurs if a 0-length file is written e.g. due to OCR timeout
return None, None
def _graft_text_layer(
self,
*,
page_num: int,
textpdf: Path,
font: pikepdf.Object,
font_key: pikepdf.Object,
procset: pikepdf.Object,
rotation: int,
strip_old_text: bool,
):
"""Insert the text layer from text page 0 on to pdf_base at page_num"""
log.debug("Grafting")
if Path(textpdf).stat().st_size == 0:
return
# This is a pointer indicating a specific page in the base file
with pikepdf.open(textpdf) as pdf_text:
pdf_text_contents = pdf_text.pages[0].Contents.read_bytes()
base_page = self.pdf_base.pages.p(page_num)
# The text page always will be oriented up by this stage but the original
# content may have a rotation applied. Wrap the text stream with a rotation
# so it will be oriented the same way as the rest of the page content.
# (Previous versions OCRmyPDF rotated the content layer to match the text.)
mediabox = [float(pdf_text.pages[0].MediaBox[v]) for v in range(4)]
wt, ht = mediabox[2] - mediabox[0], mediabox[3] - mediabox[1]
mediabox = [float(base_page.MediaBox[v]) for v in range(4)]
wp, hp = mediabox[2] - mediabox[0], mediabox[3] - mediabox[1]
translate = pikepdf.PdfMatrix().translated(-wt / 2, -ht / 2)
untranslate = pikepdf.PdfMatrix().translated(wp / 2, hp / 2)
corner = pikepdf.PdfMatrix().translated(mediabox[0], mediabox[1])
# -rotation because the input is a clockwise angle and this formula
# uses CCW
rotation = -rotation % 360
rotate = pikepdf.PdfMatrix().rotated(rotation)
# Because of rounding of DPI, we might get a text layer that is not
# identically sized to the target page. Scale to adjust. Normally this
# is within 0.998.
if rotation in (90, 270):
wt, ht = ht, wt
scale_x = wp / wt
scale_y = hp / ht
# log.debug('%r', scale_x, scale_y)
scale = pikepdf.PdfMatrix().scaled(scale_x, scale_y)
# Translate the text so it is centered at (0, 0), rotate it there, adjust
# for a size different between initial and text PDF, then untranslate, and
# finally move the lower left corner to match the mediabox
ctm = translate @ rotate @ scale @ untranslate @ corner
pdf_text_contents = (
b'q %s cm\n' % ctm.encode() + pdf_text_contents + b'\nQ\n'
)
new_text_layer = pikepdf.Stream(self.pdf_base, pdf_text_contents)
if strip_old_text:
strip_invisible_text(self.pdf_base, base_page)
base_page.page_contents_add(new_text_layer, prepend=True)
_update_page_resources(
page=base_page, font=font, font_key=font_key, procset=procset
)
-89
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# © 2018 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
import os
import shutil
import sys
from argparse import Namespace
from copy import copy
from io import IOBase
from pathlib import Path
from typing import Iterator
from ocrmypdf.pdfinfo import PdfInfo
class PdfContext:
"""Holds our context for a particular run of the pipeline"""
def __init__(
self,
options: Namespace,
work_folder: Path,
origin: Path,
pdfinfo: PdfInfo,
plugin_manager,
):
self.options = options
self.work_folder = work_folder
self.origin = origin
self.pdfinfo = pdfinfo
self.plugin_manager = plugin_manager
def get_path(self, name: str) -> Path:
return self.work_folder / name
def get_page_contexts(self) -> Iterator['PageContext']:
npages = len(self.pdfinfo)
for n in range(npages):
yield PageContext(self, n)
class PageContext:
"""Holds our context for a page
Must be pickable, so stores only intrinsic/simple data elements or those
capable of their serializing themselves via __getstate__.
"""
def __init__(self, pdf_context: PdfContext, pageno):
self.work_folder = pdf_context.work_folder
self.origin = pdf_context.origin
self.options = pdf_context.options
self.pageno = pageno
self.pageinfo = pdf_context.pdfinfo[pageno]
self.plugin_manager = pdf_context.plugin_manager
def get_path(self, name: str) -> Path:
return self.work_folder / ("%06d_%s" % (self.pageno + 1, name))
def __getstate__(self):
state = self.__dict__.copy()
state['options'] = copy(self.options)
if not isinstance(state['options'].input_file, (str, bytes, os.PathLike)):
state['options'].input_file = 'stream'
if not isinstance(state['options'].output_file, (str, bytes, os.PathLike)):
state['options'].output_file = 'stream'
return state
def cleanup_working_files(work_folder: Path, options: Namespace):
if options.keep_temporary_files:
print(f"Temporary working files retained at:\n{work_folder}", file=sys.stderr)
else:
shutil.rmtree(work_folder, ignore_errors=True)
-60
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# © 2020 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
import logging
import sys
from contextlib import suppress
from tqdm import tqdm
class PageNumberFilter(logging.Filter):
def filter(self, record):
pageno = getattr(record, 'pageno', None)
if isinstance(pageno, int):
record.pageno = f'{pageno:5d} '
elif pageno is None:
record.pageno = ''
return True
class TqdmConsole:
"""Wrapper to log messages in a way that is compatible with tqdm progress bar
This routes log messages through tqdm so that it can print them above the
progress bar, and then refresh the progress bar, rather than overwriting
it which looks messy.
For some reason Python 3.6 prints extra empty messages from time to time,
so we suppress those.
"""
def __init__(self, file):
self.file = file
self.py36 = sys.version_info[0:2] == (3, 6)
def write(self, msg):
# When no progress bar is active, tqdm.write() routes to print()
if self.py36:
if msg.strip() != '':
tqdm.write(msg.rstrip(), end='\n', file=self.file)
else:
tqdm.write(msg.rstrip(), end='\n', file=self.file)
def flush(self):
with suppress(AttributeError):
self.file.flush()
-836
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@@ -1,836 +0,0 @@
# © 2016 James R. Barlow: github.com/jbarlow83
#
# This file is part of OCRmyPDF.
#
# OCRmyPDF is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OCRmyPDF is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with OCRmyPDF. If not, see <http://www.gnu.org/licenses/>.
import logging
import os
import re
import sys
from contextlib import suppress
from datetime import datetime, timezone
from pathlib import Path
from shutil import copyfileobj
from typing import BinaryIO, Dict, Iterable, Optional, Union, cast
import img2pdf
import pikepdf
from pikepdf.models.metadata import encode_pdf_date
from PIL import Image, ImageColor, ImageDraw
from ocrmypdf import leptonica
from ocrmypdf._exec import unpaper
from ocrmypdf._jobcontext import PageContext, PdfContext
from ocrmypdf._version import PROGRAM_NAME
from ocrmypdf._version import __version__ as VERSION
from ocrmypdf.exceptions import (
DpiError,
EncryptedPdfError,
InputFileError,
PriorOcrFoundError,
UnsupportedImageFormatError,
)
from ocrmypdf.helpers import Resolution, safe_symlink
from ocrmypdf.hocrtransform import HocrTransform
from ocrmypdf.optimize import optimize
from ocrmypdf.pdfa import generate_pdfa_ps
from ocrmypdf.pdfinfo import Colorspace, Encoding, PdfInfo
log = logging.getLogger(__name__)
VECTOR_PAGE_DPI = 400
def triage_image_file(input_file, output_file, options):
log.info("Input file is not a PDF, checking if it is an image...")
try:
im = Image.open(input_file)
except EnvironmentError as e:
# Recover the original filename
log.error(str(e).replace(str(input_file), str(options.input_file)))
raise UnsupportedImageFormatError() from e
with im:
log.info("Input file is an image")
if 'dpi' in im.info:
if im.info['dpi'] <= (96, 96) and not options.image_dpi:
log.info("Image size: (%d, %d)", *im.size)
log.info("Image resolution: (%d, %d)", *im.info['dpi'])
log.error(
"Input file is an image, but the resolution (DPI) is "
"not credible. Estimate the resolution at which the "
"image was scanned and specify it using --image-dpi."
)
raise DpiError()
elif not options.image_dpi:
log.info("Image size: (%d, %d)", *im.size)
log.error(
"Input file is an image, but has no resolution (DPI) "
"in its metadata. Estimate the resolution at which "
"image was scanned and specify it using --image-dpi."
)
raise DpiError()
if im.mode in ('RGBA', 'LA'):
log.error(
"The input image has an alpha channel. Remove the alpha "
"channel first."
)
raise UnsupportedImageFormatError()
if 'iccprofile' not in im.info:
if im.mode == 'RGB':
log.info("Input image has no ICC profile, assuming sRGB")
elif im.mode == 'CMYK':
log.error("Input CMYK image has no ICC profile, not usable")
raise UnsupportedImageFormatError()
try:
log.info("Image seems valid. Try converting to PDF...")
layout_fun = img2pdf.default_layout_fun
if options.image_dpi:
layout_fun = img2pdf.get_fixed_dpi_layout_fun(
Resolution(options.image_dpi, options.image_dpi)
)
with open(output_file, 'wb') as outf:
img2pdf.convert(
os.fspath(input_file),
layout_fun=layout_fun,
with_pdfrw=False,
outputstream=outf,
)
log.info("Successfully converted to PDF, processing...")
except img2pdf.ImageOpenError as e:
log.error(e)
raise UnsupportedImageFormatError() from e
def _pdf_guess_version(input_file, search_window=1024):
"""Try to find version signature at start of file.
Not robust enough to deal with appended files.
Returns empty string if not found, indicating file is probably not PDF.
"""
with open(input_file, 'rb') as f:
signature = f.read(search_window)
m = re.search(br'%PDF-(\d\.\d)', signature)
if m:
return m.group(1)
return ''
def triage(original_filename, input_file, output_file, options):
try:
if _pdf_guess_version(input_file):
if options.image_dpi:
log.warning(
"Argument --image-dpi is being ignored because the "
"input file is a PDF, not an image."
)
# Origin file is a pdf create a symlink with pdf extension
safe_symlink(input_file, output_file)
return output_file
except EnvironmentError as e:
log.debug(f"Temporary file was at: {input_file}")
msg = str(e).replace(str(input_file), original_filename)
raise InputFileError(msg) from e
triage_image_file(input_file, output_file, options)
return output_file
def get_pdfinfo(
input_file,
detailed_analysis=False,
progbar=False,
max_workers=None,
check_pages=None,
):
try:
return PdfInfo(
input_file,
detailed_analysis=detailed_analysis,
progbar=progbar,
max_workers=max_workers,
check_pages=check_pages,
)
except pikepdf.PasswordError:
raise EncryptedPdfError()
except pikepdf.PdfError:
raise InputFileError()
def validate_pdfinfo_options(context: PdfContext):
pdfinfo = context.pdfinfo
options = context.options
if pdfinfo.needs_rendering:
log.error(
"This PDF contains dynamic XFA forms created by Adobe LiveCycle "
"Designer and can only be read by Adobe Acrobat or Adobe Reader."
)
raise InputFileError()
if pdfinfo.has_userunit and options.output_type.startswith('pdfa'):
log.error(
"This input file uses a PDF feature that is not supported "
"by Ghostscript, so you cannot use --output-type=pdfa for this "
"file. (Specifically, it uses the PDF-1.6 /UserUnit feature to "
"support very large or small page sizes, and Ghostscript cannot "
"output these files.) Use --output-type=pdf instead."
)
raise InputFileError()
if pdfinfo.has_acroform:
if options.redo_ocr:
log.error(
"This PDF has a user fillable form. --redo-ocr is not "
"currently possible on such files."
)
raise InputFileError()
else:
log.warning(
"This PDF has a fillable form. "
"Chances are it is a pure digital "
"document that does not need OCR."
)
if not options.force_ocr:
log.info(
"Use the option --force-ocr to produce an image of the "
"form and all filled form fields. The output PDF will be "
"'flattened' and will no longer be fillable."
)
context.plugin_manager.hook.validate(pdfinfo=pdfinfo, options=options)
def get_page_dpi(pageinfo, options):
"Get the DPI when nonsquare DPI is tolerable"
xres = max(
pageinfo.dpi.x or VECTOR_PAGE_DPI,
options.oversample or 0.0,
VECTOR_PAGE_DPI if pageinfo.has_vector else 0.0,
)
yres = max(
pageinfo.dpi.y or VECTOR_PAGE_DPI,
options.oversample or 0,
VECTOR_PAGE_DPI if pageinfo.has_vector else 0.0,
)
return Resolution(float(xres), float(yres))
def get_page_square_dpi(pageinfo, options) -> Resolution:
"Get the DPI when we require xres == yres, scaled to physical units"
xres = pageinfo.dpi.x or 0.0
yres = pageinfo.dpi.y or 0.0
userunit = float(pageinfo.userunit) or 1.0
units = float(
max(
(xres * userunit) or VECTOR_PAGE_DPI,
(yres * userunit) or VECTOR_PAGE_DPI,
VECTOR_PAGE_DPI if pageinfo.has_vector else 0.0,
options.oversample or 0.0,
)
)
return Resolution(units, units)
def get_canvas_square_dpi(pageinfo, options) -> Resolution:
"""Get the DPI when we require xres == yres, in Postscript units"""
units = float(
max(
(pageinfo.dpi.x) or VECTOR_PAGE_DPI,
(pageinfo.dpi.y) or VECTOR_PAGE_DPI,
VECTOR_PAGE_DPI if pageinfo.has_vector else 0.0,
options.oversample or 0.0,
)
)
return Resolution(units, units)
def is_ocr_required(page_context: PageContext):
pageinfo = page_context.pageinfo
options = page_context.options
ocr_required = True
if options.pages and pageinfo.pageno not in options.pages:
log.debug(f"skipped {pageinfo.pageno} as requested by --pages {options.pages}")
ocr_required = False
elif pageinfo.has_text:
if not options.force_ocr and not (options.skip_text or options.redo_ocr):
raise PriorOcrFoundError(
"page already has text! - aborting (use --force-ocr to force OCR; "
" see also help for the arguments --skip-text and --redo-ocr"
)
elif options.force_ocr:
log.info("page already has text! - rasterizing text and running OCR anyway")
ocr_required = True
elif options.redo_ocr:
if pageinfo.has_corrupt_text:
log.warning(
"some text on this page cannot be mapped to characters: "
"consider using --force-ocr instead"
)
else:
log.info("redoing OCR")
ocr_required = True
elif options.skip_text:
log.info("skipping all processing on this page")
ocr_required = False
elif not pageinfo.images and not options.lossless_reconstruction:
# We found a page with no images and no text. That means it may
# have vector art that the user wants to OCR. If we determined
# lossless reconstruction is not possible then we have to rasterize
# the image. So if OCR is being forced, take that to mean YES, go
# ahead and rasterize. If not forced, then pretend there's no text
# on the page at all so we don't lose anything.
# This could be made smarter by explicitly searching for vector art.
if options.force_ocr and options.oversample:
# The user really wants to reprocess this file
log.info(
"page has no images - "
f"rasterizing at {options.oversample} DPI because "
"--force-ocr --oversample was specified"
)
elif options.force_ocr:
# Warn the user they might not want to do this
log.warning(
"page has no images - "
"all vector content will be "
f"rasterized at {VECTOR_PAGE_DPI} DPI, losing some resolution and likely "
"increasing file size. Use --oversample to adjust the "
"DPI."
)
else:
log.info(
"page has no images - "
"skipping all processing on this page to avoid losing detail. "
"Use --force-ocr if you wish to perform OCR on pages that "
"have vector content."
)
ocr_required = False
if ocr_required and options.skip_big and pageinfo.images:
pixel_count = pageinfo.width_pixels * pageinfo.height_pixels
if pixel_count > (options.skip_big * 1_000_000):
ocr_required = False
log.warning(
"page too big, skipping OCR "
f"({(pixel_count / 1_000_000):.1f} MPixels > {options.skip_big:.1f} MPixels --skip-big)"
)
return ocr_required
def rasterize_preview(input_file: Path, page_context: PageContext):
output_file = page_context.get_path('rasterize_preview.jpg')
canvas_dpi = get_canvas_square_dpi(page_context.pageinfo, page_context.options)
page_dpi = get_page_square_dpi(page_context.pageinfo, page_context.options)
page_context.plugin_manager.hook.rasterize_pdf_page(
input_file=input_file,
output_file=output_file,
raster_device='jpeggray',
raster_dpi=canvas_dpi,
page_dpi=page_dpi,
pageno=page_context.pageinfo.pageno + 1,
)
return output_file
def describe_rotation(page_context: PageContext, orient_conf, correction: int):
"""
Describe the page rotation we are going to perform.
"""
direction = {0: '', 90: '', 180: '', 270: ''}
turns = {0: ' ', 90: '', 180: '', 270: ''}
existing_rotation = page_context.pageinfo.rotation
action = ''
if orient_conf.confidence >= page_context.options.rotate_pages_threshold:
if correction != 0:
action = 'will rotate ' + turns[correction]
else:
action = 'rotation appears correct'
else:
if correction != 0:
action = 'confidence too low to rotate'
else:
action = 'no change'
facing = ''
if existing_rotation != 0:
facing = f"with existing rotation {direction.get(existing_rotation, '?')}, "
facing += f"page is facing {direction.get(orient_conf.angle, '?')}"
return f"{facing}, confidence {orient_conf.confidence:.2f} - {action}"
def get_orientation_correction(preview: Path, page_context: PageContext):
"""Work out orientation correct for each page.
We ask Ghostscript to draw a preview page, which will rasterize with the
current /Rotate applied, and then ask OCR which way the page is
oriented. If the value of /Rotate is correct (e.g., a user already
manually fixed rotation), then OCR will say the page is pointing
up and the correction is zero. Otherwise, the orientation found by
OCR represents the clockwise rotation, or the counterclockwise
correction to rotation.
When we draw the real page for OCR, we rotate it by the CCW correction,
which points it (hopefully) upright. _graft.py takes care of the orienting
the image and text layers.
"""
orient_conf = page_context.plugin_manager.hook.get_ocr_engine().get_orientation(
preview, page_context.options
)
correction = orient_conf.angle % 360
log.info(describe_rotation(page_context, orient_conf, correction))
if (
orient_conf.confidence >= page_context.options.rotate_pages_threshold
and correction != 0
):
return correction
return 0
def rasterize(
input_file: Path,
page_context: PageContext,
correction: int = 0,
output_tag: str = '',
remove_vectors=None,
):
colorspaces = ['pngmono', 'pnggray', 'png256', 'png16m']
device_idx = 0
if remove_vectors is None:
remove_vectors = page_context.options.remove_vectors
output_file = page_context.get_path(f'rasterize{output_tag}.png')
pageinfo = page_context.pageinfo
def at_least(cs):
return max(device_idx, colorspaces.index(cs))
for image in pageinfo.images:
if image.type_ != 'image':
continue # ignore masks
if image.bpc > 1:
if image.color == Colorspace.index:
device_idx = at_least('png256')
elif image.color == Colorspace.gray:
device_idx = at_least('pnggray')
else:
device_idx = at_least('png16m')
if pageinfo.has_vector:
device_idx = at_least('png16m')
device = colorspaces[device_idx]
log.debug(f"Rasterize with {device}")
# Produce the page image with square resolution or else deskew and OCR
# will not work properly.
canvas_dpi = get_canvas_square_dpi(pageinfo, page_context.options)
page_dpi = get_page_square_dpi(pageinfo, page_context.options)
page_context.plugin_manager.hook.rasterize_pdf_page(
input_file=input_file,
output_file=output_file,
raster_device=device,
raster_dpi=canvas_dpi,
page_dpi=page_dpi,
pageno=pageinfo.pageno + 1,
rotation=correction,
filter_vector=remove_vectors,
)
return output_file
def preprocess_remove_background(input_file: Path, page_context: PageContext):
if any(image.bpc > 1 for image in page_context.pageinfo.images):
output_file = page_context.get_path('pp_rm_bg.png')
leptonica.remove_background(input_file, output_file)
return output_file
else:
log.info("background removal skipped on mono page")
return input_file
def preprocess_deskew(input_file: Path, page_context: PageContext):
output_file = page_context.get_path('pp_deskew.png')
dpi = get_page_square_dpi(page_context.pageinfo, page_context.options)
leptonica.deskew(input_file, output_file, dpi.x)
return output_file
def preprocess_clean(input_file: Path, page_context: PageContext):
output_file = page_context.get_path('pp_clean.png')
dpi = get_page_square_dpi(page_context.pageinfo, page_context.options)
unpaper.clean(input_file, output_file, dpi.x, page_context.options.unpaper_args)
return output_file
def create_ocr_image(image: Path, page_context: PageContext):
"""Create the image we send for OCR. May not be the same as the display
image depending on preprocessing. This image will never be shown to the
user."""
output_file = page_context.get_path('ocr.png')
options = page_context.options
with Image.open(image) as im:
white = ImageColor.getcolor('#ffffff', im.mode)
# pink = ImageColor.getcolor('#ff0080', im.mode)
draw = ImageDraw.ImageDraw(im)
log.debug('resolution %r', im.info['dpi'])
if not options.force_ocr:
# Do not mask text areas when forcing OCR, because we need to OCR
# all text areas
mask = None # Exclude both visible and invisible text from OCR
if options.redo_ocr:
mask = True # Mask visible text, but not invisible text
for textarea in page_context.pageinfo.get_textareas(
visible=mask, corrupt=None
):
# Calculate resolution based on the image size and page dimensions
# without regard whatever resolution is in pageinfo (may differ or
# be None)
bbox = [float(v) for v in textarea]
xyscale = tuple(float(coord) / 72.0 for coord in im.info['dpi'])
pixcoords = [
bbox[0] * xyscale[0],
im.height - bbox[3] * xyscale[1],
bbox[2] * xyscale[0],
im.height - bbox[1] * xyscale[1],
]
pixcoords = [int(round(c)) for c in pixcoords]
log.debug('blanking %r', pixcoords)
draw.rectangle(pixcoords, fill=white)
# draw.rectangle(pixcoords, outline=pink)
if options.threshold:
pix = leptonica.Pix.frompil(im)
pix = pix.masked_threshold_on_background_norm()
im = pix.topil()
del draw
filter_im = page_context.plugin_manager.hook.filter_ocr_image(
page=page_context, image=im
)
if filter_im is not None:
im = filter_im
# Pillow requires integer DPI
dpi = tuple(round(coord) for coord in im.info['dpi'])
im.save(output_file, dpi=dpi)
return output_file
def ocr_engine_hocr(input_file: Path, page_context: PageContext):
hocr_out = page_context.get_path('ocr_hocr.hocr')
hocr_text_out = page_context.get_path('ocr_hocr.txt')
options = page_context.options
ocr_engine = page_context.plugin_manager.hook.get_ocr_engine()
ocr_engine.generate_hocr(
input_file=input_file,
output_hocr=hocr_out,
output_text=hocr_text_out,
options=options,
)
return (hocr_out, hocr_text_out)
def should_visible_page_image_use_jpg(pageinfo):
# If all images were JPEGs originally, produce a JPEG as output
return pageinfo.images and all(im.enc == Encoding.jpeg for im in pageinfo.images)
def create_visible_page_jpg(image: Path, page_context: PageContext) -> Path:
output_file = page_context.get_path('visible.jpg')
with Image.open(image) as im:
# At this point the image should be a .png, but deskew, unpaper
# might have removed the DPI information. In this case, fall back to
# square DPI used to rasterize. When the preview image was
# rasterized, it was also converted to square resolution, which is
# what we want to give to the OCR engine, so keep it square.
if 'dpi' in im.info:
dpi = Resolution(*im.info['dpi'])
else:
# Fallback to page-implied DPI
dpi = get_page_square_dpi(page_context.pageinfo, page_context.options)
# Pillow requires integer DPI
im.save(output_file, format='JPEG', dpi=dpi.to_int())
return output_file
def create_pdf_page_from_image(image: Path, page_context: PageContext):
# We rasterize a square DPI version of each page because most image
# processing tools don't support rectangular DPI. Use the square DPI as it
# accurately describes the image. It would be possible to resample the image
# at this stage back to non-square DPI to more closely resemble the input,
# except that the hocr renderer does not understand non-square DPI. The
# sandwich renderer would be fine.
output_file = page_context.get_path('visible.pdf')
dpi = get_page_square_dpi(page_context.pageinfo, page_context.options)
layout_fun = img2pdf.get_fixed_dpi_layout_fun(dpi)
# This create a single page PDF
with open(image, 'rb') as imfile, open(output_file, 'wb') as pdf:
log.debug('convert')
img2pdf.convert(
imfile, with_pdfrw=False, layout_fun=layout_fun, outputstream=pdf
)
log.debug('convert done')
return output_file
def render_hocr_page(hocr: Path, page_context: PageContext):
output_file = page_context.get_path('ocr_hocr.pdf')
dpi = get_page_square_dpi(page_context.pageinfo, page_context.options)
hocrtransform = HocrTransform(hocr, dpi.x) # square
hocrtransform.to_pdf(
output_file,
image_filename=None,
show_bounding_boxes=False,
invisible_text=True,
interword_spaces=True,
)
return output_file
def ocr_engine_textonly_pdf(input_image: Path, page_context: PageContext):
output_pdf = page_context.get_path('ocr_tess.pdf')
output_text = page_context.get_path('ocr_tess.txt')
options = page_context.options
ocr_engine = page_context.plugin_manager.hook.get_ocr_engine()
ocr_engine.generate_pdf(
input_file=input_image,
output_pdf=output_pdf,
output_text=output_text,
options=options,
)
return (output_pdf, output_text)
def get_docinfo(base_pdf: pikepdf.Pdf, context: PdfContext) -> Dict[str, str]:
options = context.options
def from_document_info(key):
try:
s = base_pdf.docinfo[key]
return str(s)
except (KeyError, TypeError):
return ''
pdfmark = {
k: from_document_info(k)
for k in ('/Title', '/Author', '/Keywords', '/Subject', '/CreationDate')
}
if options is not None:
if options.title:
pdfmark['/Title'] = options.title
if options.author:
pdfmark['/Author'] = options.author
if options.keywords:
pdfmark['/Keywords'] = options.keywords
if options.subject:
pdfmark['/Subject'] = options.subject
creator_tag = context.plugin_manager.hook.get_ocr_engine().creator_tag(options)
pdfmark['/Creator'] = f'{PROGRAM_NAME} {VERSION} / {creator_tag}'
pdfmark['/Producer'] = f'pikepdf {pikepdf.__version__}'
if 'OCRMYPDF_CREATOR' in os.environ:
pdfmark['/Creator'] = os.environ['OCRMYPDF_CREATOR']
if 'OCRMYPDF_PRODUCER' in os.environ:
pdfmark['/Producer'] = os.environ['OCRMYPDF_PRODUCER']
pdfmark['/ModDate'] = encode_pdf_date(datetime.now(timezone.utc))
return pdfmark
def generate_postscript_stub(context: PdfContext):
output_file = context.get_path('pdfa.ps')
generate_pdfa_ps(output_file)
return output_file
def convert_to_pdfa(input_pdf: Path, input_ps_stub: Path, context: PdfContext):
options = context.options
input_pdfinfo = context.pdfinfo
fix_docinfo_file = context.get_path('fix_docinfo.pdf')
output_file = context.get_path('pdfa.pdf')
# If the DocumentInfo record contains NUL characters, Ghostscript will
# produce XMP metadata which contains invalid XML entities (&#0;).
# NULs in DocumentInfo seem to be common since older Acrobats included them.
# pikepdf can deal with this, but we make the world a better place by
# stamping them out as soon as possible.
modified = False
with pikepdf.open(input_pdf) as pdf_file:
try:
len(pdf_file.docinfo)
except TypeError:
log.error(
"File contains a malformed DocumentInfo block - continuing anyway"
)
else:
if pdf_file.docinfo:
for k, v in pdf_file.docinfo.items():
if b'\x00' in bytes(v):
pdf_file.docinfo[k] = bytes(v).replace(b'\x00', b'')
modified = True
if modified:
pdf_file.save(fix_docinfo_file)
else:
safe_symlink(input_pdf, fix_docinfo_file)
context.plugin_manager.hook.generate_pdfa(
pdf_version=input_pdfinfo.min_version,
pdf_pages=[fix_docinfo_file],
pdfmark=input_ps_stub,
output_file=output_file,
compression=options.pdfa_image_compression,
pdfa_part=options.output_type[-1], # is pdfa-1, pdfa-2, or pdfa-3
)
return output_file
def should_linearize(working_file: Path, context: PdfContext):
filesize = os.stat(working_file).st_size
if filesize > (context.options.fast_web_view * 1_000_000):
return True
return False
def metadata_fixup(working_file: Path, context: PdfContext):
output_file = context.get_path('metafix.pdf')
options = context.options
def report_on_metadata(missing):
if not missing:
return
if options.output_type.startswith('pdfa'):
log.warning(
"Some input metadata could not be copied because it is not "
"permitted in PDF/A. You may wish to examine the output "
"PDF's XMP metadata."
)
log.debug("The following metadata fields were not copied: %r", missing)
else:
log.error(
"Some input metadata could not be copied."
"You may wish to examine the output PDF's XMP metadata."
)
log.info("The following metadata fields were not copied: %r", missing)
with pikepdf.open(context.origin) as original, pikepdf.open(working_file) as pdf:
docinfo = get_docinfo(original, context)
with pdf.open_metadata() as meta:
meta.load_from_docinfo(docinfo, delete_missing=False, raise_failure=False)
# If xmp:CreateDate is missing, set it to the modify date to
# match Ghostscript, for consistency
if 'xmp:CreateDate' not in meta:
meta['xmp:CreateDate'] = meta.get('xmp:ModifyDate', '')
# Ghostscript likes to set title to Untitled if omitted from input.
# Reverse this, because PDF/A TechNote 0003:Metadata in PDF/A-1
# and the XMP Spec do not make this recommendation.
if meta.get('dc:title') == 'Untitled':
with original.open_metadata() as original_meta:
if 'dc:title' not in original_meta:
del meta['dc:title']
meta_original = original.open_metadata()
missing = set(meta_original.keys()) - set(meta.keys())
report_on_metadata(missing)
pdf.save(
output_file,
compress_streams=True,
preserve_pdfa=True,
object_stream_mode=pikepdf.ObjectStreamMode.generate,
linearize=( # Don't linearize if optimize() will be linearizing too
should_linearize(working_file, context)
if options.optimize == 0
else False
),
)
return output_file
def optimize_pdf(input_file: Path, context: PdfContext):
output_file = context.get_path('optimize.pdf')
save_settings = dict(
compress_streams=True,
preserve_pdfa=True,
object_stream_mode=pikepdf.ObjectStreamMode.generate,
linearize=should_linearize(input_file, context),
)
optimize(input_file, output_file, context, save_settings)
return output_file
def merge_sidecars(txt_files: Iterable[Optional[Path]], context: PdfContext):
output_file = context.get_path('sidecar.txt')
with open(output_file, 'w', encoding="utf-8") as stream:
for page_num, txt_file in enumerate(txt_files):
if page_num != 0:
stream.write('\f') # Form feed between pages
if txt_file:
with open(txt_file, 'r', encoding="utf-8") as in_:
txt = in_.read()
# Some OCR engines (e.g. Tesseract v4 alpha) add form feeds
# between pages, and some do not. For consistency, we ignore
# any added by the OCR engine and them on our own.
if txt.endswith('\f'):
stream.write(txt[:-1])
else:
stream.write(txt)
else:
stream.write(f'[OCR skipped on page {(page_num + 1)}]')
return output_file
def copy_final(input_file, output_file, _context: PdfContext):
log.debug('%s -> %s', input_file, output_file)
with open(input_file, 'rb') as input_stream:
if output_file == '-':
copyfileobj(input_stream, sys.stdout.buffer)
sys.stdout.flush()
elif hasattr(output_file, 'writable'):
output_stream = output_file
copyfileobj(input_stream, output_stream)
with suppress(AttributeError):
output_stream.flush()
else:
# At this point we overwrite the output_file specified by the user
# use copyfileobj because then we use open() to create the file and
# get the appropriate umask, ownership, etc.
with open(output_file, 'wb') as output_stream:
copyfileobj(input_stream, output_stream)

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