RapidOCR

Fast, multilingual OCR toolkit

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RapidOCR is a multilingual OCR toolkit based on ONNXRuntime, OpenVINO, and PaddlePaddle. It converts PaddleOCR models into ONNX format, supporting multi-platform deployment in Python, C++, Java, and C#. It is characterized by speed, lightweight design, and intelligence, addressing memory leakage issues present in PaddleOCR.

Default language recognition for Chinese and English; other languages require manual conversion.
OCR based on deep learning technology
focusing on the advantages of artificial intelligence and smaller models.
Uses ONNXRuntime inference engine
achieving inference speeds 4 to 5 times faster than PaddlePaddle.
Supports rapid offline deployment
compatible with various programming languages.
Provides detailed documentation and installation guides.
Has an active community with numerous contributors and maintainers.
Follows the Apache-2.0 license

\RapidOCR is designed for businesses and developers who require fast and accurate text recognition
particularly in multilingual environments. Whether for document digitization
automated data entry
or image content analysis
RapidOCR provides efficient solutions.\

Companies use RapidOCR for automated document processing
enhancing work efficiency.
Developers utilize RapidOCR for rapid text recognition in images
creating intelligent applications.
Educational institutions use RapidOCR for digitizing teaching materials

1. Visit the RapidOCR GitHub page to learn about the project details.
2. Choose the appropriate installation package and documentation based on your needs
then download and install it.
3. Read the documentation to understand how to configure the environment and use the API.
4. Write your own OCR application based on the example code provided.

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474564576

Bounce Rate

36.20%

Page per Visit

6.1

Visit Duration

00:06:34

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