Extract Text from PDF Documents with Excerptor - A Python Library for OCR and Text Recognition

Excerptor is a Python library that provides a simple and efficient way to extract text from PDF documents. It allows you to extract the text of a PDF document as a plain text file, preserving the layout and formatting of the original document.

Excerptor uses Optical Character Recognition (OCR) technology to recognize the text in the PDF document and convert it into plain text. OCR is a process that involves analyzing an image of text and converting it into editable text. Excerptor uses the Tesseract OCR engine, which is one of the most accurate and widely used OCR engines available.

Here are some key features of Excerptor:

1. Extracts text from PDF documents with high accuracy.
2. Supports multiple languages and fonts.
3. Preserves the layout and formatting of the original document.
4. Allows you to customize the extraction process with command-line options.
5. Provides a simple and easy-to-use API for extracting text from PDF documents.

Excerptor can be used in a variety of applications, such as:

1. Document scanning and indexing.
2. Data entry and data extraction.
3. PDF document conversion.
4. Text recognition and OCR.
5. Machine learning and natural language processing.

Overall, Excerptor is a powerful and flexible library that can help you extract text from PDF documents with high accuracy and ease.