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Invoice Parser
x402
Invoice Parser is a paid API for AI agents from 6xrkjcfa3yrzvefcpvanurzou4.srv.us, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).
Parses a PDF invoice or receipt from a URL into structured fields including vendor, invoice number, dates, totals, tax, currency, and line items, returning a parse quality score and verdict.
Price / call$0.01
Success—
StatusUnknown
How this service works
Pdf invoice parse - parse a PDF invoice or receipt into structured fields: vendor, invoice number, dates, totals, tax, currency and line items. GET ?url= OR ?document_url= OR ?file= OR ?sample=1|2|3 OR POST application/json with url|document_url. KEYLESS - the PDF text layer is extracted locally with PyMuPDF, no key, no account, no signup, and the document is never stored. Returns an invoice_parse_score 0-100 A-F with a PARSED / NO_TEXT / UNREACHABLE verdict. MEASURED DEMAND: the router's...
Output
A JSON object containing structured invoice fields: vendor name, invoice number, issue and due dates, subtotal, tax amount, grand total, currency, and an array of line items. Also returns an invoice_parse_score (0–100, graded A–F) and a verdict of PARSED, NO_TEXT, or UNREACHABLE indicating extraction success.
Example use cases
Automated accounts payable data entry
“I have a vendor invoice PDF at https://supplier.com/invoices/INV-8823.pdf — can you extract all the structured fields from it, like the vendor name, invoice number, line items, and total amount due, so I can enter it into our accounting system?”
Receipt parsing for expense reimbursement
“Here's a receipt PDF from our business trip: https://receipts.example.com/hotel-stay.pdf — pull out the vendor, date, total, and any tax so I can submit my expense claim.”
Verifying invoice parseability before bulk import
“Before I batch-import these invoices, can you test whether this sample PDF at https://storage.example.com/sample-invoice.pdf is parseable and give me a quality score so I know if the text layer is readable?”
Technical details
Endpoint
GEThttps://6xrkjcfa3yrzvefcpvanurzou4.srv.us/api/invoice-parse?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to extract structured data from a PDF invoice or receipt document accessible via a URL, without requiring an API key, account, or data storage. It is ideal for keyless, privacy-preserving invoice parsing where documents are processed locally and never retained. Prefer it over OCR-based services when the PDF has a native text layer (not scanned), as PyMuPDF text extraction is fast and accurate for such documents.
Side effects
- UNREACHABLE verdict if the PDF URL cannot be fetched or times out
- NO_TEXT verdict if the PDF has no extractable text layer (e.g. scanned image-only PDF)
- Low invoice_parse_score (F/D) if extracted text does not match expected invoice structure
- Missing or null fields when invoice does not contain standard sections like tax or line items
- Malformed URL input returns an error without attempting to fetch the document
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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