DeepSee

DeepSee transforms screenshots into precise, structured text for use with text-only models. Key features include: • Exact text extraction with pixel coordinates • Color and spacing data capture • Element layout mapping (cards, buttons, inputs) • Semantic screen type classification (login, dashboard, chart, etc.) This open-source tool functions as a local MCP server or directly in your browser, requiring zero VRAM and no uploads, ensuring complete privacy and consistent results. It decodes every word with confidence scores, identifying and classifying each visual element on the screen with its text, coordinates, and visual properties. The system reconstructs the full visual context into indented text, including reading order and alignment. An optional semantic tagger further classifies screen types rapidly on the CPU, providing accurate descriptions or indicating uncertainty. This deterministic pipeline guarantees identical transcripts for the same input. DeepSee is ideal for developers and researchers working with language models that need to interpret user interfaces or visual content accurately without direct image processing capabilities. It's a powerful utility for precise UI analysis and content understanding.