Localparse — agentic document parsing and data extraction API

Localparse turns PDFs, scans, invoices, contracts and financial reports into clean markdown and schema-validated JSON in seconds. A single REST endpoint your AI agent or workflow can call as a tool: parse, extract, validate, deliver — with idempotent jobs and HMAC-signed webhooks.

Built for AI agents and automation workflows

Drop-in integrations for the agent stacks teams already run — LangChain, LlamaIndex, MCP for Cursor and Claude Desktop, n8n, Make, CrewAI, Zapier, or a 40-line Python autonomous loop. Every integration calls the same agentic parsing API.

What the API does

• Parse — upload any document, get clean markdown that preserves tables, headings and line items so chunkers don't shred the structure.
• Extract — supply a JSON Schema (or let Localparse infer one) and receive validated JSON with required-field guarantees.
• Format — render the structured output as a polished memo, invoice or report using LLM-designed layout templates.

Why teams choose Localparse

• Unlimited pages per document on every plan, including the free tier.
• Schema-validated JSON output — typed data, not a probabilistic blob.
• Idempotent jobs and HMAC-signed webhooks for workflow engines.
• MCP server for Cursor and Claude Desktop so your IDE assistant can query your corpus directly.
• Same REST API powers every integration — pick the framework, the API doesn't change.

Start free with no credit card on the free tier (60 requests per minute, unlimited pages), read the API documentation, or jump straight to the agents and workflows page for copy-paste starter code in LangChain, LlamaIndex, MCP, n8n, Make, CrewAI and Zapier.