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StructDoc Layout Large — Document to Markdown Structuring
x402
StructDoc Layout Large — Document to Markdown Structuring is a paid API for AI agents from structdoc-api.hp-vladic.workers.dev, paid per call via x402, $1.1/call, status unknown (last checked 2026-09-14).
Converts PDFs or images into structured Markdown using layout-aware OCR, extracting tables, key-value pairs, and document structure in 100+ languages
Price / call$1.1
Success—
StatusUnknown
How this service works
Turn any document into structured data for AI agents — OCR, layout-to-Markdown, tables, key-value, invoice/receipt fields — from PDF/images in 100+ languages. Pay per call via x402 (USDC). No API keys.
Output
A JSON object containing the model used ('prebuilt-layout'), the number of pages processed, the output format ('markdown'), and a 'content' field with the full Markdown representation of the document including headings, tables, and extracted key-value data.
Example use cases
Parse scanned receipts for expense reports
“I've got a stack of scanned receipt images from last month's business trip — can you run them all through OCR and convert them to structured Markdown so I can easily extract the amounts, vendors, and dates for my expense report?”
Extract tables from multilingual PDF reports
“This market research report came in French and has a bunch of data tables throughout — pull out all the text and tables as clean Markdown and make sure the structure is preserved so I can feed it to my analysis tools.”
Convert form submissions into database records
“We're getting filled-out forms as PDF images from customers, and I need you to extract the key-value pairs and structure them as Markdown so our backend can parse and store this data in the right database fields.”
Technical details
Endpoint
POSThttps://structdoc-api.hp-vladic.workers.dev/layout-largeWhen to prefer
Choose this endpoint when you need rich, layout-aware document extraction that preserves structure (headings, tables, columns) as Markdown — especially for invoices, receipts, forms, or scanned PDFs. Prefer it over simple OCR tools when table structure and document hierarchy matter, and when you need multilingual support without managing API keys.
Side effects
- Unsupported file format returns an error — only PDF and common image formats accepted
- Document too large or too many pages may exceed processing limits
- Poor scan quality or low-resolution images may produce degraded OCR output
- Non-Latin scripts in rare languages may have reduced accuracy despite 100+ language claim
- Payment failure via x402/USDC results in 402 response and no processing
- Timeout on very large or complex multi-page documents
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| url | string | Document URL (PDF/image) |
| pages | string | Page range e.g. "1-5" |
| base64 | string | Base64 document bytes (≤~6MB) |
| features | string | languages,barcodes,keyValuePairs |
| queryFields | string | custom fields, comma-separated ≤8 |
Output
Schema · Response
{
"type": "json",
"example": {
"model": "prebuilt-layout",
"pages": 1,
"format": "markdown",
"content": "# ..."
}
}Tags
x402
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