PaddleOCR
Multilingual OCR toolkit by PaddlePaddle with state-of-the-art accuracy.
About
Backed by Baidu's PaddlePaddle deep learning framework, PaddleOCR is an Apache 2.0 licensed toolkit for optical character recognition and document parsing that converts images and PDFs into structured JSON or Markdown. Its PP-OCR model series handles text detection and recognition across more than 80 languages, while PP-StructureV3 performs layout analysis, table recognition, and formula recognition with fine-grained coordinates, and PaddleOCR-VL adds a lightweight 0.9B parameter vision-language model for complex document understanding covering handwriting, seals, and charts. Ultra-light model variants target mobile and edge deployment. The toolkit is widely embedded in other software: projects such as RAGFlow, Dify, and Microsoft's OmniParser rely on it for text extraction, and the repository counts tens of thousands of GitHub stars with thousands of dependent projects. Typical users are developers building document pipelines and RAG systems that need accurate self-hosted OCR.
Should you use PaddleOCR?
Pick it when
Pick PaddleOCR when you need self-hosted Apache-2.0 OCR that scales from mobile and edge models up to layout, table, and formula parsing in 80+ languages, and you can live with the PaddlePaddle framework.
Look elsewhere when
Skip it if your stack is strictly PyTorch and adding PaddlePaddle is a burden; docTR, now PyTorch-only, fits better. For digital PDFs that already have a text layer, PyMuPDF or pdfplumber extract text without OCR.
Alternatives to PaddleOCR
- Tesseract
Ubiquitous CPU engine with 100+ languages and simple packaging, but without PaddleOCR's table, formula, and VLM document modules.
- EasyOCR
Quicker three-line start with 80+ languages, but plain text detection and recognition only, with no layout or table models.
- Surya OCR
Comparable layout, reading order, and table recognition in 90+ languages, but its weights carry commercial limits that PaddleOCR's Apache-2.0 avoids.
- Docling
Higher-level converter for RAG with Office formats and framework integrations, using OCR as one stage rather than as the product.
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Details
- Category
- OCR & Document Processing
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Easy (2/5)
- License
- Apache-2.0
- Added
- Apr 3, 2026