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AI Data Parser logo

AI Data Parser

PDF/image → schema-guaranteed JSON via one POST request. Built for AI agents.

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freemiumDR 0Free: 50 credits (no card). $9 → 500 credits, $29 → 2,000, $99 → 10,000. No subscription.View full pricing →

Visit AI Data Parser

https://aidataparser.com

About AI Data Parser

AI Data Parser is a credit-based document-parsing API that turns PDFs, images, and unstructured files into schema-guaranteed JSON with a single POST request. Built for AI agents and automation workflows, it accepts invoices, receipts, resumes, bank statements, contracts, and forms — and returns clean, validated JSON matching the exact schema you provide. Powered by structured outputs from leading LLMs, every response is validated against your schema before delivery, eliminating the post-processing step that breaks most extraction pipelines. The free tier ships 50 credits (no card required), making it trivially easy to prototype. Paid packs start at $9 for 500 credits, scaling to $99 for 10,000 credits — credit-based pricing means you pay per document, not per month, so agent workflows with variable volume never overpay. An MCP server is planned so Claude Desktop, Cursor, and other MCP-compatible agents can call the parser as a native tool. The API follows OpenAPI spec with llms.txt and copy-paste tool definitions for OpenAI/Anthropic tool use, meaning integration takes minutes rather than hours.

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Key Features

PDF and image → structured JSON extraction
Schema-first: pass your JSON schema, get guaranteed-valid output
Credit-based pricing — pay per document, not per month
Free 50 credits — no card required to start
Supports invoices, receipts, resumes, bank statements, and forms
OpenAPI spec + llms.txt for LLM-native integration
MCP server coming — plug directly into Claude Desktop and Cursor

AI Data Parser Pros & Cons

Pros

  • +Schema-guaranteed JSON output — no post-processing or regex hacks required
  • +Credit pricing beats $39-149/mo subscription competitors for variable workloads
  • +50 free credits with no card — fastest path from idea to working prototype
  • +Agent-native design: llms.txt, OpenAPI spec, and tool definitions ship with the docs
  • +MCP server roadmap means native integration with Claude Desktop and Cursor

⚠️ Cons

  • New product — smaller track record than Parseur or Docparser
  • Credit model costs more per-document than subscriptions at very high volume
  • MCP server not yet live (planned Q3 2026)

Who Is AI Data Parser Best For?

👤AI agent developers who need reliable document-to-JSON pipelines
👤Automation builders on Make, n8n, or Zapier processing invoices or receipts
👤SaaS developers adding document extraction without building their own PDF stack
👤Startups prototyping document workflows before committing to a subscription tool

Tags

apipdf parsingdocument extractionjsonai agentsstructured outputsocrinvoice parsingdata extractionmcp
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