RapidAI/RapidOCR
📄 Awesome OCR multiple programing languages toolkits based on ONNX Runtime, OpenVINO, MNN, PaddlePaddle, TensorRT and PyTorch. observed · 2026-08-28
Health v2 · maintenance only
97/100
- Activity 99
- Release rhythm 94
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 13.5
- age_days: 2067
- days_rel: 43
- days_push: 8
- n_releases_24m: 35
Adoption not part of the score
7599 stars · 708 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
RapidOCR is an open-source, multi-language OCR toolkit that performs text detection and recognition using models converted to run on ONNX Runtime, OpenVINO, MNN, TensorRT, and other inference engines. It supports fast offline deployment across Linux, Windows, and macOS with default Chinese and English recognition and additional language models available.
Use cases
- extract text from images in python
- chinese and english ocr offline
- convert scanned pdfs to text
- run ocr without gpu or cloud services
- deploy text recognition on multiple platforms
- fast ocr for screenshots and documents
When to choose
- you need free, offline OCR with no cloud dependency
- you need Chinese and English text recognition out of the box
- you want fast inference via ONNX Runtime or OpenVINO across platforms
When to avoid
- you need handwriting or rare-language recognition not covered by the model list
- you require training custom OCR models from scratch
- you need a managed cloud OCR API with enterprise support
Facets
library · maturity active
ocr image-processing machine-learning deep-learning computer-vision image-processing developer-tools python windows cross-platform text-detection text-recognition onnxruntime openvino paddleocr chinese-ocr offline-deployment natural-language-processing linux macos
3 sources
- readme: https://github.com/RapidAI/RapidOCR · fetched 2026-08-28 · 1d2e1bc0cf2a
- homepage: https://rapidai.github.io/RapidOCRDocs · fetched 2026-08-29 · 7d7caab70f34
- registry_pypi: https://pypi.org/pypi/rapidocr/json · fetched 2026-08-29 · 9f03d0ae75dc
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| RapidAI/RapidOCR | main | 97 |
For agents
markdown · JSON · MCP: product_card(name="RapidAI/RapidOCR")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem