Convert invoices into structured JSON
Upload an invoice and get back clean JSON with the fields that matter — built for teams who want to pipe extraction straight into their own systems.
Sample output — not a live result
This is the fixed sample dataset shown on the DocumentsAI homepage demo, not the output of a real upload. Fields like invoice_number, gstin, and line_items show the shape of the data — try the homepage demo panel to upload a real file and see a live result when extraction is configured.
Example fields
- invoice_number
- invoice_date
- vendor_name
- gstin
- total_amount
- currency
- line_items
Supported file types
PDF, PNG, JPEG, or WEBP — up to 8 MB per file.
{
"invoice_number": "INV-2026-0417",
"invoice_date": "2026-07-28",
"vendor_name": "Shree Enterprises Pvt Ltd",
"gstin": "27ABCDE1234F1Z5",
"total_amount": 125000,
"currency": "INR",
"line_items": [
{
"description": "Software services",
"quantity": 1,
"amount": 125000
}
]
}Built for API-oriented workflows
If your team wants invoice data flowing directly into an accounting system, a data warehouse, or an internal tool, structured JSON is the format built for that — no manual re-entry, no copying values out of a PDF viewer. The extraction endpoint is designed to be API-ready; talk to us about integration details for your systems.