Extract structured text from pdf files.
Install from PyPI using pip:
pip install leaf-focus
Download the Xpdf command line tools and extract the executable files.
Provide the directory containing the executable files as --exe-dir
.
usage: leaf-focus [-h] [--version] --exe-dir EXE_DIR [--page-images] [--ocr]
[--first FIRST] [--last LAST]
[--log-level {debug,info,warning,error,critical}]
input_pdf output_dir
Extract structured text from a pdf file.
positional arguments:
input_pdf path to the pdf file to read
output_dir path to the directory to save the extracted text files
optional arguments:
-h, --help show this help message and exit
--version show program's version number and exit
--exe-dir EXE_DIR path to the directory containing xpdf executable files
--page-images save each page of the pdf as a separate image
--ocr run optical character recognition on each page of the
pdf
--first FIRST the first pdf page to process
--last LAST the last pdf page to process
--log-level {debug,info,warning,error,critical}
the log level: debug, info, warning, error, critical
# Extract the pdf information and embedded text.
leaf-focus --exe-dir [path-to-xpdf-exe-dir] file.pdf file-pages
# Extract the pdf information, embedded text, an image of each page, and Optical Character Recognition results of each page.
leaf-focus --exe-dir [path-to-xpdf-exe-dir] file.pdf file-pages --ocr
- xpdf
- keras-ocr
- Tensorflow (can optionally be run more efficiently using one or more GPUs)