OCR / Text Extraction
Extract text from images using PaddleOCR, supporting 80+ languages including CJK characters, Arabic, and Hindi. Handles printed text, handwriting, and scene text in photographs. Outputs plain text with bounding box coordinates for each detected region.
Features
- PaddleOCR engine with 80+ language support
- Handles printed text, handwriting, and scene text
- Returns text with bounding box coordinates
- CJK, Arabic, Hindi, Cyrillic, and Latin script support
- Batch OCR across multiple images
What you can do
- Digitize text from scanned documents and receipts
- Extract data from screenshots and whiteboard photos
- Convert signage and labels in photographs to searchable text
- Automate data entry from printed forms and invoices
AI that runs on your hardware. No cloud APIs, no usage limits.
Unlike cloud AI services, SnapOtter's OCR / Text Extraction runs the ML model directly on your server. Your files are processed locally with no data sent to external APIs. No per-file fees, no rate limits, no privacy concerns. Deploy once with Docker and use it as much as you need.
Frequently asked questions
- What languages does the OCR support?
- Over 80 languages including English, Chinese, Japanese, Korean, Arabic, Hindi, Russian, and all major European languages. The PaddleOCR engine handles multiple scripts in a single image.
- Can OCR read handwritten text?
- PaddleOCR handles clearly written handwriting reasonably well, though accuracy is lower than with printed text. Best results come from high-contrast handwriting on clean backgrounds.
- Does the OCR work on photos of signs and documents?
- Yes. The scene text detection handles text in photographs (signs, menus, labels) as well as clean document scans. For best results, ensure the text is in focus and well-lit.
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