Python binding for libpoppler - focused on text extraction from PDF documents.
Intended as an easy to use replacement for pdfminer, which provides much better performance (see below for short comparison) and is Python3 compatible.
See this article for some comparisons with pdfminer and other approaches.
Binding is written in cython.
Requires recent libpoppler >= 0.40 - so I'd recommend to build it from source to get latest library, but it works also with recent libpoppler library present in common linux distributions (then it requires dev package to build). See below for installation instructions.
Available under GPL v3 or any later version license (libpoppler is also GPL).
Below or some instructions to install this package
Install the poppler-devel package (Tested with version 0.26.5-16.el7)
yum install poppler-devel poppler-cpp-devel
Install cython
pip install cython
Install the repo
pip install git+https://github.com/izderadicka/pdfparser
Clone this repo and enter into the root folder
cd /git/repos/
git clone https://github.com/izderadicka/pdfparser.git
cd pdfparser
Clone the poppler repo and install (similar to build_poppler.sh)
yum install openjpeg2-devel libjpeg-turbo-devel cmake
git clone --depth 1 https://anongit.freedesktop.org/git/poppler/poppler.git poppler_src
cd poppler_src
cmake -DENABLE_SPLASH=OFF -DENABLE_UTILS=OFF -DENABLE_LIBOPENJPEG=none .
make
cp libpoppler.so.?? ../pdfparser/
cp cpp/libpoppler-cpp.so.? ../pdfparser
cd ..
POPPLER_ROOT=poppler_src python setup.py install
git clone --depth 1 https://github.com/izderadicka/pdfparser.git
cd pdfparser
./build_poppler.sh
pip install cython
POPPLER_ROOT=poppler_src ./setup.py install
#test that it works
python tests/dump_file.py test_docs/test1.pdf
sudo apt-get update
sudo apt-get install -y libpoppler-private-dev libpoppler-cpp-dev
pip install cython
pip install git+https://github.com/izderadicka/pdfparser
| pdfreader | pdfminer | speed-up factor | |
|---|---|---|---|
| tiny document (half page) | 0.033s | 0.121s | 3.6 x |
| small document (5 pages) | 0.141s | 0.810s | 5.7 x |
| medium document (55 pages) | 1.166s | 10.524s | 9.0 x |
| large document (436 pages) | 10.581s | 108.095s | 10.2 x |
pdfparser code used in test
import pdfparser.poppler as pdf
import sys
d=pdf.Document(sys.argv[1])
print('No of pages', d.no_of_pages)
for p in d:
print('Page', p.page_no, 'size =', p.size)
for f in p:
print(' '*1,'Flow')
for b in f:
print(' '*2,'Block', 'bbox=', b.bbox.as_tuple())
for l in b:
print(' '*3, l.text.encode('UTF-8'), '(%0.2f, %0.2f, %0.2f, %0.2f)'% l.bbox.as_tuple())
#assert l.char_fonts.comp_ratio < 1.0
for i in range(len(l.text)):
print(l.text[i].encode('UTF-8'), '(%0.2f, %0.2f, %0.2f, %0.2f)'% l.char_bboxes[i].as_tuple(),\
l.char_fonts[i].name, l.char_fonts[i].size, l.char_fonts[i].color,)
print()
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