Extract structured invoice data using AI with this API. Multiple formats supported.
Invoice Parser accepts an invoice file (PDF, DOC, DOCX, PNG, JPG, JPEG, TIFF, or TIF) and processes it asynchronously, returning a job ID and status URL. The status endpoint reports job state as queued, running, success, or failed, and returns the extracted data once processing completes. Callers can optionally specify the invoice's document language, which defaults to English.
The parsed output includes buyer details with a billing address, seller details with a VAT ID and address, invoice metadata such as currency, issue date, and invoice number, an is_invoice classification flag, financial totals (subtotal, total payable, total tax amount), and line items with quantity, subtotal, unit price, and description.
The API is intended for accounts payable workflows, expense systems, document ingestion, and back-office automation that need invoice fields captured consistently from scanned or digital files without building a custom extraction pipeline. It consists of two endpoints: a POST endpoint to submit a file for parsing and a GET endpoint to poll job status by job ID, with polling limited to once per second.
It accepts PDF, DOC, DOCX, PNG, JPG, JPEG, TIFF, and TIF files, with a max of 100MB per request.
You submit the invoice to get a job ID and status URL, then poll the status endpoint (at most once per second) until it reports success, failed, running, or queued.
It returns buyer and seller details (including billing address and VAT ID), invoice metadata like currency and invoice number, financial totals, and line items.
It's suited for accounts payable workflows, expense systems, document ingestion, and back-office automation that need consistent invoice field capture.
Yes, the language parameter is optional and defaults to English.
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