Document Intelligence
Extract from any document.
No templates.
Our AI agents read and understand documents like a human would. Invoices, contracts, receipts, or custom forms—submit any layout and get perfectly structured, confidence-scored data instantly.
The end of the template treadmill.
Legacy OCR relies on rigid coordinates. Every time a vendor changes their invoice layout, your extraction breaks. DocuPOW’s Zeroshot extraction uses advanced language models to understand the semantic meaning of fields, adapting instantly to any format variation without manual retraining.
Legacy OCR
Relies on fixed X/Y coordinates. Breaks on minor layout changes.
Zeroshot Agents
Understands context and semantics. Adapts instantly.
How it works
1. Read any layout
Submit documents in virtually any format. Our models parse the text, structure, and visual cues simultaneously.
2. Propose a schema
Define what you want to extract using natural language or select from our pre-built library of common document types.
3. Return scored data
Receive clean, structured JSON alongside confidence scores for every single extracted value.
See exactly where every value came from.
Click any extracted field to instantly highlight its source location in the original document. Unmatched transparency for human review.
This extracted value and its source location in the document are linked — focusing either highlights both.
Schemas, your way.
Start instantly with our library of pre-trained schemas for common docs, or generate custom schemas simply by providing a few sample documents. Extract nested line items, complex tables, and deeply buried clauses with ease.
- invoice_data
- vendor_details
- name string
- line_items
Confidence & control.
Every extracted value comes with a granular confidence score. Set thresholds to automatically straight-through process high-confidence data, and route ambiguous edge cases to a human-in-the-loop review queue.
Accepts Any Format
Try it on your messiest document.
Stop writing regex and maintaining brittle templates. Experience semantic extraction today.