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PaddleOCR releases PP-OCRv6 with models from 1.5M to 34.5M parameters

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PaddlePaddle has released PP-OCRv6, a new OCR model series in Tiny, Small, and Medium sizes at 1.5M, 7.7M, and 34.5M parameters.

The models reportedly improve detection accuracy by 4.9% and recognition accuracy by 5.1% over PP-OCRv5, with up to 5.2× faster CPU inference via OpenVINO. The unified model supports 50 languages and new scenarios including PCB, CAD drawings, digital tubes, and dot-matrix text, under Apache 2.0.

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PaddlePaddle
@PaddlePaddle

🚀PP-OCRv6 is officially released！

🔥PaddleOCR’s new OCR model series scales from 1.5M to 34.5M parameters, bringing stronger accuracy, faster inference, and broader deployment options — from browsers and edge devices to servers.

📊What’s new:
🔸Tiny / Small / Medium models: 1.5M, 7.7M, 34.5M params
🔸+4.9% detection accuracy and +5.1% recognition accuracy over PP-OCRv5
🔸Up to 5.2× faster CPU inference with OpenVINO
🔸50 languages in one unified model
🔸New scenarios: PCB, CAD drawings, digital tubes, dot-matrix text
🔸Apache 2.0 open source

✨Lightweight OCR, built for the AI data era.

🔗Try it:
🌐 https://paddleocr.com
💻 https://github.com/PaddlePaddle/PaddleOCR
🤗https://huggingface.co/collections/PaddlePaddle/pp-ocrv6

#PaddlePaddle #PaddleOCR #OCR #AI #ComputerVision #OpenSource #EdgeAI

Source: PaddlePaddle · x.comPublished · added here

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Multimodal AIOpen-source ecosystemDeployment & engineeringModel releases