Mistral recently launched their OCR model, claiming to be the best in the world. We put that claim to the test against JigsawStack vOCR — our own OCR solution, built by a team of just three people.
We benchmarked both models across real-world multilingual documents, handwriting recognition, structured data extraction, and bounding box accuracy. Here’s a quick breakdown:
- Languages: Mistral supports 12 benchmarked languages, while JigsawStack vOCR handles 70+ including Telugu, Hindi, and lesser-used scripts.
- Handwriting Recognition: Mistral struggles with handwritten and distorted text, while JigsawStack vOCR accurately extracts text from printed materials, handwriting, and even text on walls.
- Structured Output: Mistral requires additional post-processing with an LLM for structured data, while JigsawStack natively returns structured JSON output.
- Bounding Boxes: Mistral OCR does not provide bounding box data, while JigsawStack supports both sentence and word-level positions.
Check out the full breakdown with examples, screenshots, and API comparisons in our blog post Mistral OCR vs. JigsawStack vOCR here: https://jigsawstack.com/blog/mistral-ocr-vs-jigsawstack-vocr
We'd love to hear feedback and answer any questions! If you’re building with OCR, try out JigsawStack vOCR and let us know your thoughts.
We benchmarked both models across real-world multilingual documents, handwriting recognition, structured data extraction, and bounding box accuracy. Here’s a quick breakdown:
- Languages: Mistral supports 12 benchmarked languages, while JigsawStack vOCR handles 70+ including Telugu, Hindi, and lesser-used scripts.
- Handwriting Recognition: Mistral struggles with handwritten and distorted text, while JigsawStack vOCR accurately extracts text from printed materials, handwriting, and even text on walls.
- Structured Output: Mistral requires additional post-processing with an LLM for structured data, while JigsawStack natively returns structured JSON output.
- Bounding Boxes: Mistral OCR does not provide bounding box data, while JigsawStack supports both sentence and word-level positions.
Check out the full breakdown with examples, screenshots, and API comparisons in our blog post Mistral OCR vs. JigsawStack vOCR here: https://jigsawstack.com/blog/mistral-ocr-vs-jigsawstack-vocr
We'd love to hear feedback and answer any questions! If you’re building with OCR, try out JigsawStack vOCR and let us know your thoughts.