PP-OCRv4
is the fourth-generation end-to-end optical character recognition system from the PaddlePaddle team.
It combines a lightweight
text detection → angle classification → text recognition
pipeline with improved training techniques and data augmentation, delivering higher accuracy and robustness while staying efficient for real-time use.
PP-OCRv4 supports multilingual OCR (Latin and non-Latin scripts), irregular layouts (rotated/curved text), and challenging inputs such as noisy or low-resolution images often found in mobile and document-scan scenarios.
Features
End-to-end OCR
: text detection, optional angle classification, and text recognition in one pipeline.
Multilingual support
: pretrained models for English, Chinese, and dozens of other languages; easy finetuning for domain text.
Robust in real-world conditions
: handles rotation, perspective distortion, blur, low light, and complex backgrounds.
Lightweight & fast
: practical for both mobile apps and large-scale server deployments.
Flexible I/O
: works with photos, scans, screenshots, receipts, invoices, ID cards, dashboards, and UI text.
Extensible
: swap components (detector/recognizer), add language packs, or finetune on domain datasets.
Runs of NexaAI paddleocr-npu-mobile on huggingface.co
24
Total runs
0
24-hour runs
-2
3-day runs
3
7-day runs
-6
30-day runs
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