EasyOCR Unstructured

EasyOCR Unstructured is a powerful library for Optical Character Recognition (OCR) that can extract text from PDFS, then group the text based on proximity.

It is intended for PDF files that have text that doesn't follow the left to right top to bottom standard of document writing.

Getting Started

pip install easyocr-unstructured

import easyocr_unstructured

# Initialize the EasyOCR Unstructured object
easyocr = EasyocrUnstructured()

# Invoke the OCR process on your PDF file
result = easyocr.invoke('/path/to/your_pdf_file.pdf')

#result will be a list of lists containing strings
from pprint import pprint as pp
pp(result)

Example Output

The output will look something like this:

[
    ["This is the piece of text. Nothing near it"],
    ["This is the second piece of text.", "This is the third piece of text that was close to the second"],
    ["This is the fourth piece of text. Nothing near it"],
    ...
]

Prerequisites

• Python 3.12 +

Installing

pip install easyocr-unstructured

Usage

import easyocr_unstructured

easyocr = EasyocrUnstructured()
result = easyocr.invoke('/path/to/your_pdf_file.pdf')

Running the tests

No tests yet

Built With

• Wing Pro
• Python 3.12
• numpy
• easyocr
• pdf2image
• hashlib

Contributing

Please do, any sensible and safe change will be added!

Authors

Kevin Fink

License

MIT

Acknowledgments