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Doc2JSON.de
x402
Doc2JSON.de is a paid API for AI agents from web-production-0590d.up.railway.app, paid per call via x402, $0.03/call, status unknown (last checked 2026-09-15).
Parses unstructured German PDF documents into a caller-defined JSON schema using AI extraction, billed per call via USDC x402 micropayments.
Price / call$0.03
Success—
StatusUnknown
How this service works
Parse unstructured (German) PDF documents into any agent-defined JSON schema. Pay per call with USDC via x402.
Output
A JSON object conforming to the caller-supplied schema, populated with values extracted from the input PDF. Fields map to the schema keys provided, with values parsed from the German document text. The response is returned synchronously per call.
Example use cases
German invoice data extraction
“I have a German supplier invoice PDF — can you pull out the invoice number, vendor name, IBAN, total amount including VAT, and payment due date, and give me a JSON object with those fields?”
German contract clause parsing
“Extract all the key clauses from this German rental contract PDF — I need the parties involved, monthly rent, deposit amount, start date, and notice period returned as structured JSON.”
German form digitization
“Take this scanned German government form PDF and extract all the filled-in fields into JSON, using the field labels as keys and the handwritten or typed responses as values.”
Technical details
Endpoint
POSThttps://web-production-0590d.up.railway.app/v1/extractWhen to prefer
Choose this endpoint when you need to extract structured data from German-language PDF documents into a custom JSON schema you define. It is especially well-suited for automating German business document workflows (invoices, contracts, forms, tax documents) where the output schema varies per use case. The per-call micropayment model via x402 makes it cost-effective for low-to-medium volume workloads without subscription overhead.
Side effects
- PDF is image-only with no extractable text — OCR may fail or return empty fields
- Schema fields don't correspond to content present in the document — missing or null values returned
- Non-German or mixed-language PDFs may reduce extraction accuracy
- Malformed or password-protected PDFs may cause parsing errors
- Network or payment authorization failures via x402 may prevent call completion
- Ambiguous or overlapping schema definitions may produce inconsistent field mapping
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| schema | object | JSON Schema the extracted data must conform to |
| document_url | string | Public URL of the PDF document to parse |
Tags
x402
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