Talonic
Enables AI agents to extract structured, schema-validated data from any document type, including PDFs and scans, using the Model Context Protocol.
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Enables AI agents to extract structured, schema-validated data from any document type, including PDFs and scans, using the Model Context Protocol.
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The Talonic MCP server empowers AI agents to accurately extract structured, schema-validated data from a wide range of documents such as PDFs, scans, invoices, and contracts. Unlike raw OCR followed by a general LLM call, Talonic ensures high fidelity by returning JSON with per-field confidence scores and stable IDs, preventing data drift and errors. It manages the entire document extraction workflow, from secure uploads to OCR, extraction, and validation, all designed to integrate seamlessly with various AI clients via the Model Context Protocol.