RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

Get your documents ready for gen AI

Parse files for optimal RAG

ExtractThinker is a Document Intelligence library for LLMs, offering ORM-style interaction for flexible and powerful document workflows.

Table structure recognition dataset of the paper: Complicated Table Structure Recognition

A Multi Purpose PDF Toolkit

PDF text data extraction web app with OCR for scanned documents

A Python pipeline tool and plugin ecosystem for processing technical documents. Process papers from arXiv, SemanticScholar, PDF, with GROBID, LangChain, listen as podcast. Customize your own pipelines.

Batch-convert pdf to text, extract data from pdf in python

Simple pdf to text with python using PDFtk and PyPDF2

Python library and Web service based on Poppler Pdftotext utility and Tesseract OCR for extracting text from PDF documents

"PDF To Audio" is a Python tool that transforms PDF documents into audio files using OCR and Text-to-Speech technology. Ideal for accessibility and auditory learning, it supports multiple languages, parallel processing, and smart rate limit handling.

Python project that converts tables inside PDFs to CSV for convenient data manipulation. It has log and exception handling.

Bangla PDF to text converter that works on Windows, macOS, and Linux without any extra downloads or configurations.

This project facilitates the extraction of text from PDF files using various Python libraries. It is designed to be flexible, allowing the choice among different text extraction libraries and supporting both single PDF file and directory containing multiple PDF files.

This code is designed to analyze a PDF document and determine the percentage of AI-generated content within the text. It utilizes the PyPDF2 library to extract the text from each page of the PDF and the NLTK library to check for AI-generated words.

This is a Python application that converts non-readable PDF files, such as scanned documents, into readable Word documents. It achieves this by first converting the PDF files into images and then extracting the text from the images to create the Word documents. The application provides a user-friendly interface to do the above task.

VersatileCodeHub: Your one-stop repository for an array of coding projects. Explore diverse applications, from games like Flappy Bird to tools like QRCode Scanners. Expand your skills across various domains, all in one place.

PDF parser component (Apache Tika) for PCU project

Implementing the concept of Optical Character Recognition in Django