Surya
by Datalab
Modern OCR toolkit with line-level text detection, recognition in 90+ languages, and layout analysis. Outperforms Tesseract on accuracy and inference speed.
Overview
Surya is a Python-based OCR toolkit designed for modern document understanding. It provides line-level text detection and recognition with support for over 90 languages, alongside layout analysis that identifies document elements like tables, images, and headers.
Benchmarks show Surya outperforming Tesseract in both accuracy and inference time. It's particularly strong at handling varied fonts, kerning, and document layouts where traditional OCR struggles.
Surya serves as the OCR backbone for Marker (also from Datalab), making it a key component in the open-source document processing ecosystem.
Strengths
- 90+ languages with strong multilingual support
- Superior accuracy on varied fonts and layouts
- Faster inference than Tesseract
- Built-in layout analysis for document structure
- Active development with frequent updates
Limitations
- Requires GPU for optimal performance
- GPL license may restrict commercial use
- Higher memory footprint than lightweight OCR
Best Use Cases
- Modern document digitization
- Layout-aware text extraction
- Preprocessing for document conversion pipelines
- Academic and research document processing