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.

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.

Semantic search over videos using Gemini Embedding 2 or Qwen3-VL.

基于PaddleOCR重构，并且脱离PaddlePaddle深度学习训练框架的轻量级OCR，推理速度超快 —— A lightweight OCR system based on PaddleOCR, decoupled from the PaddlePaddle deep learning training framework, with ultra-fast inference speed.

PaddleOCR inference in PyTorch. Converted from [PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR)

Rust multi‑backend OCR/VLM engine (DeepSeek‑OCR-1/2, PaddleOCR‑VL, DotsOCR) with DSQ quantization and an OpenAI‑compatible server & CLI – run locally without Python.

OCR离线图片文字识别命令行windows程序，以JSON字符串形式输出结果，方便别的程序调用。提供各种语言API。由 PaddleOCR C++ 编译。

A reusable skill for Claude Code that adds multimodal vision capabilities for analyzing screenshots, UI, and charts using various models.

ConvMAE: Masked Convolution Meets Masked Autoencoders

“Dive Into OCR” is a textbook developed by the PaddleOCR community that integrates OCR theory and practice.