extract document

Extract STRUCTURED FIELDS from a document image: invoices, receipts, ID cards — or any custom JSON schema you supply. Every field returns {value, confidence, bo

liveverifiedunknown~5s typical

mcpprobedocr

$0.0020

per call

plus $0.001 platform fee per run

Open MCP server; Cracked bills routing only

Provider Upstream docs

$Set up https://cracked-ai-pearl.vercel.app/SKILL.md, then use Cracked to run mcp-com-auto-reader-ocr /extract_document for me.

Input

Field	Type	Description
image_base64*	string	The document image as base64 (data: URI prefix accepted).
preset	string (invoice \| receipt \| id \| zatca)	Built-in schema. Use zatca for Saudi e-invoices (adds QR validation).
schema	object	Custom extraction schema instead of a preset: an object whose keys are the fields you want
lang	string	Language hint; default auto. default "auto"
api_key	string	Optional Auto-Reader OCR key (nsk_live_...). If omitted, a free trial key is auto-provisio

Call it

curl

curl https://cracked-ai-pearl.vercel.app/v1/run \
  -H "Authorization: Bearer ck_live_..." -H "content-type: application/json" \
  -d '{"provider":"mcp-com-auto-reader-ocr","endpoint":"/extract_document","input":{"image_base64":"...","lang":"auto"}}'

cli

npx cracked-ai run -p mcp-com-auto-reader-ocr -e /extract_document -i '{"image_base64":"...","lang":"auto"}'

mcp

run_tool({ provider: "mcp-com-auto-reader-ocr", endpoint: "/extract_document", input: {"image_base64":"...","lang":"auto"} })

Try it

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