Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
- ocr
- chineseocr
- pdf2markdown
- pp-ocr
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Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
Code and documentation to train Stanford's Alpaca models, and generate the data.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
☁️ Build multimodal AI applications with cloud-native stack
TranslatedSelf-hosted TikTok, Douyin & Bilibili scraper and no-watermark video downloader — async REST API, MCP server for AI agents, CLI and web console, plus offline speech-to-text for downloaded videos. Self-healing identity pool, PostgreSQL archive, one docker compose up.
Generate audiobooks from e-books, 50+ TTS engines with voice cloning and 1696 languages!
Topic Modelling for Humans
TranslatedDaidai Didi (带带弟弟, "take little brother along") general-purpose captcha recognition OCR, PyPI version
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
Open source annotation tool for machine learning practitioners.
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
Implementation of Nougat Neural Optical Understanding for Academic Documents
Module for automatic summarization of text documents and HTML pages.
An open-source document parsing model with SOTA accuracy and speed, using an RSI loop during post-training.
README file generator, powered by AI.
Deep neural network to extract intelligent information from invoice documents.
A full spaCy pipeline and models for scientific/biomedical documents.
1M param OCR model - runs on CPU, 15x faster than tesseract, close to 1B+ param models in accuracy
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Evaluate OMR sheets fast and accurately using a scanner 🖨 or your phone 🤳.
Upscale an image by a factor of 4, while generating photo-realistic details.
:speech_balloon: SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.readthedocs.io/en/latest/