AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
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FastMCP server providing advanced OCR capabilities with current state-of-the-art models (DeepSeek-OCR, Florence-2, DOTS.OCR, PP-OCRv5, Qwen-Image-Layered decomposition), WIA scanner control, and multi
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開發工具Python · TypeScriptGitHub @sandraschi自行安裝營運者未確認
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FastMCP server providing advanced OCR capabilities with current state-of-the-art models (DeepSeek-OCR, Florence-2, DOTS.OCR, PP-OCRv5, Qwen-Image-Layered decomposition), WIA scanner control, and multi-format document processing for PDFs, CBZ comics, and images.
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取自儲存庫 README
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Complete AI OCR webapp and MCP server. A web app with a streamlined dashboard (drag-and-drop or scanner, pick an engine, click one button) and a FastMCP 3.1 MCP server for agentic IDEsClaude, Cursor, Windsurfso agents can run OCR, preprocessing, and workflows as tools. Same 14 engines, WIA scanner (Windows), and pipelines; one repo.
Topics: ocr, mcp, fastmcp, document-processing, scanner, wia, pdf, computer-vision, model-context-protocol, llm檢視完整 README ↗目前無法載入完整 README。請透過原文連結閱讀。 以下為已儲存的摘錄。
Complete AI OCR webapp and MCP server. A web app with a streamlined dashboard (drag-and-drop or scanner, pick an engine, click one button) and a FastMCP 3.1 MCP server for agentic IDEsClaude, Cursor, Windsurfso agents can run OCR, preprocessing, and workflows as tools. Same 14 engines, WIA scanner (Windows), and pipelines; one repo.
Topics: ocr, mcp, fastmcp, document-processing, scanner, wia, pdf, computer-vision, model-context-protocol, llm檢視完整 README ↗