A Repo For Document AI
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Updated
Jun 28, 2024 - Python
A Repo For Document AI
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Sample applications and demos for Document AI, the end-to-end document processing platform on Google Cloud
A Curated List of Awesome Table Structure Recognition (TSR) Research. Including models, papers, datasets and codes. Continuously updating.
LAISA (Local AI Search Application) is a desktop app which allows you to run completely local, private, and free LLM inference. LAISA supports basic RAG with pre-configured OpenSearch Databases, and local document parsing with PDFs.
A collection of original, innovative ideas and algorithms towards Advanced Literate Machinery. This project is maintained by the OCR Team in the Language Technology Lab, Tongyi Lab, Alibaba Group.
mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding
ReadingBank: A Benchmark Dataset for Reading Order Detection
Algorithms, papers, datasets, performance comparisons for Document AI. Continuously updating.
Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)
Run optical character recognition with PyTesseract from the FiftyOne App!
Minimal sharded dataset loaders, decoders, and utils for multi-modal document, image, and text datasets.
Datasets and Evaluation Scripts for CompHRDoc
Official release of RFUND introduced in the paper "PEneo: Unifying Line Extraction, Line Grouping, and Entity Linking for End-to-end Document Pair Extraction" (arXiv:2401.03472).
QuickCapture Mobile Scanning SDK Specially designed for native ANDROID from Extrieve
TAT-DQA: Towards Complex Document Understanding By Discrete Reasoning
Checkbox Detection Model for Scanned Documents
A hands-on CLI tool sample showcasing the integration of Dart with Google Cloud's DocumentAI.
Object Detection Model for Scanned Documents
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