OCR

Liquid AI has released LFM2.5-VL-3B, a multimodal upgrade to its LFM2-VL-3B model built for on-device grounding, object detection, and document OCR. The model runs at 228 tokens/sec on an Apple M5 Max and 116 tokens/sec on an AMD Ryzen AI Max+ 395, using under 3.3 GB of memory.

Mistral AI released OCR 4, a compact document extraction model that returns bounding boxes, block classification, and inline confidence scores alongside text. The model supports 170 languages, scores 85.20 on OlmOCRBench, and is priced at $4 per 1,000 pages via API ($2 with batch discount) or $5 per 1,000 pages through Document AI.

Amazon Web Services released Amazon Bedrock Data Automation (BDA), a foundation model-powered service designed to extract and validate structured data from financial documents. The service uses custom blueprints to process bank statements, W-2 tax forms, 1099-B forms, and vendor contracts, offering what AWS claims is industry-leading accuracy at lower cost than using foundation models directly.

Baidu has released Qianfan-OCR-Fast, a multimodal model specialized for optical character recognition tasks. The model offers a 66,000 token context window and is priced at $0.68 per 1M input tokens and $2.81 per 1M output tokens.

Perceptron has released Perceptron Mk1, a vision-language model designed for video understanding and embodied reasoning tasks. The model accepts image and video inputs with 33K context window, priced at $0.15 per 1M input tokens and $1.50 per 1M output tokens, and supports structured spatial annotations on demand.

NVIDIA released Nemotron-3-Nano-Omni-30B-A3B, a multimodal large language model with 31 billion parameters that processes video, audio, images, and text with up to 256K token context. The model uses a Mamba2-Transformer hybrid Mixture of Experts architecture and supports chain-of-thought reasoning mode.