RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
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Updated
Jul 7, 2024 - Python
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Table structure recognition dataset of the paper: Complicated Table Structure Recognition
PDF text data extraction web app with OCR for scanned documents
Simple pdf to text with python using PDFtk and PyPDF2
Batch-convert pdf to text, extract data from pdf in python
A Multi Purpose PDF Toolkit
"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.
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.
Python project that converts tables inside PDFs to CSV for convenient data manipulation. It has log and exception handling.
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.
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.
A script to convert PDF files to TXT
IO management for PCU project
a simple and functional multi convert system using amount of python librarys
Python library and Web service based on Poppler Pdftotext utility and Tesseract OCR for extracting text from PDF documents
Python script to translate a PDF file to DOCX or ODT
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
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.
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