Easily extract text (and images) from a bunch of pdf files (while preserving the original text formatting)

pip install git+https://github.com/marianna13/doc2dataset.git

Checkout these examples to use doc2dataset:

• example.py
• example_spark.py

This module exposes a single function pdf_extractor which takes the same arguments as the command line tool:

• file_list file (csv, parquet, txt etc) containing paths of documents. (required)
• output_format Format of output dataset can be (default = "files")
  • files, samples saved in subdirectory for each shard (useful for debugging)
  • webdataset, samples saved in tars (useful for efficient loading)
  • parquet, sampels saved in parquet (as bytes)
• output_folder: Desired location of output dataset (default = "dataset")
• input_format: Format of the input, can be (default = "csv")
  • txt, text file with a url in each line
  • csv, csv file with urls, (and captions + metadata)
  • tsv, tsv - || -
  • parquet, loads urls and metadata as parquet
• file_col: Column in input (if has columns) that contains the filename (default = "filename")
• distributor whether to use multiprocessing or pyspark (default = "multiporocessing")
• processes_count number of parallel processes (default = 1)
• save_figures whether to save figures (default = True)
• min_words_per_page mininum words per page (default = 100)
• max_images_per_page maximum images per page (default: 5)
• min_image_size minumum image size (default = 0)
• max_image_area maximum image area (default = None)
• max_aspect_ratio max aspect ration (default = None)
• get_language whether to get the language of text using pycld2 (default = False)
• remove_digits whether to remove digits (default = False), can mess up with images
• count_words whether to count words(non-punctuation characters) (default = True)
• max_pages maximum number of pages per document (decreasing this param can help speed up) (default = None)
• get_drawings whether to extract SVG images (default = False)

sample_output.md

Setup a virtualenv:

python3 -m venv .env
source .env/bin/activate
pip install -e .

to run tests:

pip install -r requirements-test.txt

then

make lint
make test

You can use make black to reformat the code