RapidOCR is an OCR toolkit designed for fast offline deployment across multiple platforms and programming languages.
It provides text detection and recognition using models converted to highly compatible formats, with support for inference engines such as ONNX Runtime, OpenVINO, MNN, PaddlePaddle, TensorRT, and PyTorch. The project focuses on speed, low resource use, and straightforward integration into applications.
This is free and open source software.
Key Features
- Supports offline deployment.
- Default support for Chinese and English recognition.
- Multi-platform operation.
- Python component with companion implementations for other languages.
- Uses models converted from PaddleOCR.
- Supports ONNX Runtime inference.
- Supports OpenVINO, MNN, PaddlePaddle, TensorRT, and PyTorch backends.
- Designed for fast response and low resource consumption.
- Simple installation with pip.
- Supports custom fine-tuned models.
- Includes visualization of OCR results.
Website: github.com/RapidAI/RapidOCR
Support:
Developer: RapidAI
License: Apache License 2.0
RapidOCR is written in Python. Learn Python with our recommended free books and free tutorials.
Related Software
| OCR Systems | |
|---|---|
| Tesseract | High quality neural net (LSTM) based OCR engine focused on line recognition |
| EasyOCR | OCR that reads natural scene text and dense text in documents |
| ocrs | Modern OCR engine |
| Surya | Multilingual document OCR toolkit with text recognition |
| ocropy | Open source document analysis and OCR system |
| Ocrad | OCR engine based on a feature extraction method |
| Cuneiform | OCR Engine to convert OCR documents into editable form |
| GOCR | Reads images in many formats |
Read our verdict in the software roundup.
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