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StructDoc Layout-to-Markdown Document Structuring API
x402
StructDoc Layout-to-Markdown Document Structuring API is a paid API for AI agents from structdoc-api.hp-vladic.workers.dev, paid per call via x402, $0.25/call, status unknown (last checked 2026-09-13).
Converts PDF or image documents into structured data (Markdown, tables, key-value pairs, invoice/receipt fields) using OCR and layout analysis across 100+ languages
Price / call$0.25
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 name ('prebuilt-layout'), page count, output format ('markdown'), and full Markdown-formatted document content including extracted text, tables, and layout structure. Key-value fields such as invoice line items, totals, dates, and vendor info are embedded in the Markdown representation.
Example use cases
Example prompt
“Can you extract all the text and tables from this invoice PDF and give me the results as structured Markdown — I need the line items, totals, and vendor info pulled out cleanly?”
Technical details
Endpoint
POSThttps://structdoc-api.hp-vladic.workers.dev/layoutWhen to prefer
Choose this endpoint when you need to convert unstructured PDF or image documents into AI-ready Markdown or structured data, especially for invoices, receipts, and forms with tables or key-value pairs. It is ideal for agents that need to process documents without managing API keys, paying per-call via USDC. Prefer it over generic OCR when you need layout-aware extraction that preserves table structure and document hierarchy across 100+ languages.
Side effects
- Unsupported file format returns an error — only PDF and common image types accepted
- Document too large or too many pages may time out or return a partial result
- Heavily handwritten or low-resolution scans may produce poor OCR accuracy
- Non-Latin scripts may have reduced accuracy depending on language support
- Payment failure via x402/USDC will block the request before processing
- Malformed or inaccessible document URL returns a fetch error
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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