Developers
A document data extraction API, not a template builder.
Send a PDF, JPEG, or PNG to Documind, describe the fields you want in plain language, and get back clean, typed JSON. Every field comes with a confidence score so your pipeline knows what to trust and what to route for review.
Define a schema, get structured data
There is no model to train and no template to draw. You declare the
output you expect, with types like string,
datetime, and
number, and Documind
extracts exactly that from each document.
{
"invoice_number": "string",
"issue_date": "datetime",
"supplier_name": "string",
"total_amount": "number",
"currency": "string",
"line_items": [
{
"description": "string",
"quantity": "number",
"unit_price": "number"
}
]
}Illustrative schema. See the documentation for the authoritative API reference, SDKs, and response format.
Built for production pipelines
Confidence scores on every field
A multi-model pipeline cross-validates each result. High confidence flows through automatically; low confidence is flagged so you never ship a silent error.
Source grounding
Each extracted value carries a reference to where it appeared in the document, which keeps your outputs auditable.
Works out of the box
No training data, no per-template setup. Point Documind at PDF, JPEG, or PNG files and start extracting.
Connect your stack
Use the REST API directly or wire Documind into UiPath, Zapier, Make, n8n, SAP, Salesforce, and more.
Popular use cases
- Invoice data extraction for finance and accounts payable automation.
- Customs and trade document processing for logistics and brokerage.
- Purchase orders, receipts, contracts, ID documents, and forms.