ocr

AWS published a technical demonstration showing that pairing Amazon Nova 2 Lite with Anthropic's Claude Sonnet 4.6 reduces document processing costs by approximately two-thirds compared to single-model approaches. The two-stage pipeline processed 336 scanned yearbook pages at $0.0027 per page, producing 3,122 name-to-face associations with 93% scoring at or above 0.95 confidence.

Baidu has released Unlimited-OCR, a 3 billion parameter model for optical character recognition and document parsing. The model supports single-page and multi-page document processing with a 32,768 token context window and runs on NVIDIA GPUs using bfloat16 precision.

Mistral AI released Mistral OCR 3, a document extraction model priced at $2 per 1,000 pages ($1 with Batch API discount). The model achieves a 74% overall win rate over its predecessor on forms, scanned documents, complex tables, and handwriting according to internal benchmarks.

Mistral AI has released Mistral OCR, an API for extracting text and images from documents at $1 per 1,000 pages (approximately $0.50 with batch inference). The company claims 94.89% overall accuracy on its internal test set, comparing favorably to GPT-4o (89.77%), Gemini 2.0 Flash (88.69%), and Azure OCR (89.52%).

Mistral AI released OCR 3, a document parsing model priced at $2 per 1,000 pages with a 50% batch API discount. The company claims a 74% overall win rate compared to Mistral OCR 2 on forms, scanned documents, complex tables, and handwriting.

Mistral AI has released an OCR API priced at $1 per 1,000 pages with batch inference costs approximately half that rate. The company claims 94.89% overall accuracy on internal benchmarks, ahead of GPT-4o (89.77%), Gemini 2.0 Flash (88.69%), and Azure OCR (89.52%). The model processes up to 2,000 pages per minute on a single node.