Extract Tables From Document

Reconstruct every table in a document image into headers and rows. Returns: dict with keys: table_count (int), tables (list of {title, headers, rows, row_c

liveverifiedunknown~5s typical

mcpprobedbrainiallimage

$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-brainiall-image /document_tables for me.

Input

Field	Type	Description
image*	string	Base64-encoded PNG/JPEG of the document page

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-brainiall-image","endpoint":"/document_tables","input":{"image":"..."}}'

cli

npx cracked-ai run -p mcp-com-brainiall-image -e /document_tables -i '{"image":"..."}'

mcp

run_tool({ provider: "mcp-com-brainiall-image", endpoint: "/document_tables", input: {"image":"..."} })

Try it

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