Field extraction
Pull the values that matter out of each document, from header fields to totals and line items.
- Header fields such as vendors, IDs, and dates
- Amounts, taxes, and currencies
- Tables and line items
Sample workspace · fictional documents
Documents processed
of 4 uploaded
Processing status
Recent documents
Select a row
| File | Type | Status | Created |
|---|---|---|---|
Completed | Invoice | Completed | Sep 26, 09:41 |
Completed | Receipt | Completed | Sep 26, 09:12 |
Review | Purchase Order | Review | Sep 25, 17:30 |
Processing | Statement | Processing | Sep 25, 16:04 |
invoice_0428.pdf
Interactive preview with fictional sample documents.
Document extraction
DocsFlow AI combines layout analysis, AI-based understanding, and human review into one consistent pipeline.
Pull the values that matter out of each document, from header fields to totals and line items.
AI models read documents in context, so a field can be found even when its position changes between layouts.
Inspect extracted values next to their source and approve them before they reach downstream systems.
Every document produces predictable, machine-readable output with consistent keys.
How it works
A consistent pipeline that takes a raw document and returns reviewed, structured output.
01
Upload documents through the dashboard. Programmatic ingestion is coming soon.
02
DocsFlow AI analyzes document structure and identifies relevant information.
03
Convert document information into clearly defined structured fields.
04
Inspect extracted values before sending them downstream.
05
Output data in the format your workflow expects.
Outputs & integrations
We publish the current status of every output channel. Anything not yet in production is clearly marked.
| Channel | Description | Status |
|---|---|---|
| JSONStructured output for software and scripts. | Structured output for software and scripts. | Available |
| CSVFlat files for spreadsheets and data tools. | Flat files for spreadsheets and data tools. | Available |
| Excel-compatibleOpen results directly in spreadsheet software. | Open results directly in spreadsheet software. | Available |
| REST APISend documents and fetch results programmatically. | Send documents and fetch results programmatically. | Coming soon |
| WebhooksGet notified when processing finishes. | Get notified when processing finishes. | Coming soon |
| Batch processingRun many documents through one workflow. | Run many documents through one workflow. | Coming soon |
Custom schemas
Coming soonDefine the fields your application needs and receive predictable structured outputs that are easier to integrate into downstream systems.
{
"vendor_name": "string",
"invoice_number": "string",
"invoice_date": "date",
"currency": "string",
"total": "number"
}{
"vendor_name": "Northstar Technologies Ltd.",
"invoice_number": "INV-0428",
"invoice_date": "2026-09-18",
"currency": "USD",
"total": 4820
}Document types
Start with common financial and operational documents, and extend to the formats specific to your workflow.
Extract vendor information, invoice IDs, dates, totals, taxes, and line items.
Capture merchant details, transaction dates, amounts, taxes, and itemized purchases.
Turn purchase orders into structured operational data.
Convert transaction records and statement information into machine-readable data.
Extract fields and responses from structured and semi-structured forms.
Identify key document metadata and structured information from business agreements.
Extract operational data from logistics documents.
Define the information your workflow needs and structure documents around it.
Results vary with document quality, language, and layout. Every extraction can be reviewed before it is exported.
Start transforming business documents into structured data with DocsFlow AI.