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English | 简体中文
PaddleOCR aims to create multilingual, awesome, leading, and practical OCR tools that help users train better models and apply them into practice.
🔥2022.8.24 Release PaddleOCR release/2.6
🔥2022.7 Release OCR scene application collection
🔥2022.5.9 Release PaddleOCR release/2.5
PaddleOCR support a variety of cutting-edge algorithms related to OCR, and developed industrial featured models/solution PP-OCR and PP-Structure on this basis, and get through the whole process of data production, model training, compression, inference and deployment.
It is recommended to start with the “quick experience” in the document tutorial
Model introduction | Model name | Recommended scene | Detection model | Direction classifier | Recognition model |
---|---|---|---|---|---|
Chinese and English ultra-lightweight PP-OCRv3 model(16.2M) | ch_PP-OCRv3_xx | Mobile & Server | inference model / trained model | inference model / trained model | inference model / trained model |
English ultra-lightweight PP-OCRv3 model(13.4M) | en_PP-OCRv3_xx | Mobile & Server | inference model / trained model | inference model / trained model | inference model / trained model |
Chinese and English ultra-lightweight PP-OCRv2 model(11.6M) | ch_PP-OCRv2_xx | Mobile & Server | inference model / trained model | inference model / trained model | inference model / trained model |
Chinese and English ultra-lightweight PP-OCR model (9.4M) | ch_ppocr_mobile_v2.0_xx | Mobile & server | inference model / trained model | inference model / trained model | inference model / trained model |
Chinese and English general PP-OCR model (143.4M) | ch_ppocr_server_v2.0_xx | Server | inference model / trained model | inference model / trained model | inference model / trained model |
If you want to request a new language support, a PR with 1 following files are needed:
{language}_dict.txt
that contains a list of all characters. Please see the format example from other files in that folder.If your language has unique elements, please tell me in advance within any way, such as useful links, wikipedia and so on.
More details, please refer to Multilingual OCR Development Plan.
This project is released under Apache 2.0 license
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