Phi-3-vision

Phi-3-Vision is a lightweight vision-language model in Microsoft’s Phi family. It accepts images alongside text prompts and produces grounded, step-by-step text responses—great for document Q&A, table extraction, chart/diagram interpretation, UI debugging from screenshots, and everyday visual reasoning. Designed for efficiency, it targets fast inference on a single modern GPU (or CPU with quantization) while preserving high accuracy on practical tasks.

Key capabilities include robust OCR with layout awareness, reasoning over figures and math diagrams, multilingual understanding, and code/regex generation from visual context (e.g., scraping rules from a page). It’s instruction-tuned for reliable formatting (Markdown/JSON), supports long-context use with large documents split into pages, and works well in RAG/agent pipelines where tools fetch images or crop regions. Open weights (permissive license) make it easy to fine-tune, compress (8/4-bit), and deploy on common runtimes; it’s also available as a managed endpoint for quick integration. Typical uses: enterprise document automation, analytics over charts/dashboards, accessibility (image descriptions), and developer assistants that reason directly from screenshots.