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StructDoc Document Structuring API
x402
StructDoc Document Structuring API is a paid API for AI agents from structdoc-api.hp-vladic.workers.dev, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-14).
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$0.05
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 used (e.g. 'prebuilt-layout'), the number of pages processed, the output format (e.g. 'markdown'), and a 'content' field with the full structured extraction — Markdown text, tables, key-value pairs, or invoice/receipt fields depending on the document type.
Example use cases
Example prompt
“I have a scanned invoice PDF — can you extract all the line items, totals, and vendor info from it and give me the result as structured Markdown?”
Technical details
Endpoint
POSThttps://structdoc-api.hp-vladic.workers.dev/readWhen to prefer
Choose this endpoint when you need to convert unstructured PDF or image documents into machine-readable structured data — especially invoices, receipts, forms, or scanned pages — and want a pay-per-call model with no API key setup. Prefer it over general LLM vision when you need reliable layout-aware Markdown, table extraction, or structured field parsing across 100+ languages at $0.05/call.
Side effects
- Unsupported file type returns an error — only PDF and common image formats accepted
- Document too large or complex may exceed processing limits
- Low-quality scans may reduce OCR accuracy
- Non-Latin scripts in unsupported language variants may produce degraded output
- Payment failure via x402/USDC will block the request before processing
- Missing or malformed document input returns a 400-level 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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