kunal-kourav / doc_processing_toolkit Goto Github PK

Python library to extract text from any file type compatiable with TIKA. It defaults to OCR when text extraction of a PDF file fails. There are various installation as well as usage instructions given below , through which you may understand more clearly.

• Apache Tika
• Ghostscript
• Tesseract
• Xpdf

1. Download tika-server-1.7.jar from Apache Tika
2. Mac: brew install ghostscripts Ubuntu: sudo apt-get install ghostscript
3. Mac: brew install tesseract Ubuntu: sudo apt-get install tesseract-ocr
4. Mac: brew tap homebrew/x11 and brew install xpdf Ubuntu: sudo apt-get install poppler-utils
5. Install Python dependencies with pip install -r requirements.txt

These script assume that an instance of Tika server is running. Starting Tika Servers java -jar tika-server-1.7.jar --port 9998

In Python script

from textextraction.extractors import text_extractor
text_extractor(doc_path=doc_path, force_convert=False)

In order to run tests:

1. All requirements must be installed
2. Both Tika servers need to be running

Tests are run with nose Installation pip install -r test-requirements.txt Running tests nosetests

Documents are converted to gray PNGs with a DPI of 300 using Ghostscript and then OCRed with Tesseract. Settings for OCR adapted from OPTIMAL IMAGE CONVERSION SETTINGS FOR TESSERACT OCR and The Free Law Project's Courtlistener.