27 ms·
I tested many open-source and hosted OCR models and Datalab Chandra was the most accurate. It can parse complex layouts, tables, handwriting, and formulas at a
by phenomen 1mo ago
I tested many open-source and hosted OCR models and Datalab Chandra was the most accurate. It can parse complex layouts, tables, handwriting, and formulas at a fraction of the cost of Claude/Gemini.
Local: https://github.com/datalab-to/chandra https://github.com/datalab-to/chandra
Hosted: https://www.datalab.to https://www.datalab.to
Another decent option is GLM OCR. It's slightly less accurate but faster and cheaper.
Local: https://github.com/zai-org/GLM-OCR https://github.com/zai-org/GLM-OCR
Hosted: https://docs.z.ai/guides/vlm/glm-ocr https://docs.z.ai/guides/vlm/glm-ocr
Other models such as PaddleOCR, dots.ocr and DeepSeek OCR performed significantly worse.