From messy documents to structured data, automatically
Turn any document into usable data.
ProGen reads invoices, receipts, purchase orders, and EPC project documents, and turns them into structured, searchable data your systems can actually use. No templates. No manual entry.
ProGen Extraction
Vendor
Summit Steel & Supply Co.
Invoice #
INV-20482
Amount
$18,420.00
| Line item | Qty | Price |
|---|---|---|
| Structural steel beams | 12 | $980.00 |
| Galvanized fasteners | 500 | $0.85 |
| Site delivery | 1 | $620.00 |
Built for teams that process documents at volume
See ProGen in 90 seconds.
Upload a document. Watch it get read, structured, and turned into clean data, live.
Try it on a real document.
Drop in a sample invoice or receipt and watch ProGen extract the data in real time.
Waiting for a document
Want this on your own documents? Request Access
90%+
fields extracted automatically, no manual entry
Minutes, not hours
from raw document to structured record
100%
layout and table structure preserved, line items stay mapped to prices
01 · Ingestion
Feed it anything.
Scanned images, multi-page PDFs, or unstructured files, ProGen ingests it all in one pipeline, no pre-sorting required.
- Images and multi-page PDFs in one upload
- Any unstructured document type, no template setup
- Bulk upload — drop one file or hundreds
Bulk upload
02 · Reading
Reads the layout, not just the text.
ProGen keeps table and column structure intact, so line items map correctly to prices instead of turning into a wall of unstructured text.
- Table and column structure preserved
- Line items stay linked to the right price/quantity
- Works on scanned and digital documents alike
Layout preserved
03 · Understanding
Pulls the fields that matter.
A locally-hosted LLM extracts vendor, amounts, invoice numbers, and line items, with a deterministic fallback so extraction never silently fails.
- Vendor, amount, invoice number, and line-item extraction
- Locally-hosted LLM, your documents don't leave your infrastructure
- Deterministic fallback if AI inference fails
Field extraction
04 · Generation
Generates documents, too.
Same engine, reverse direction, produce PDFs, invoices, and formatted documents straight from structured data.
- PDF and invoice generation from structured data
- Custom layouts and templates
- One engine for both reading and producing documents
Document generation
05 · Storage & Connect
Everything searchable, everything connected.
Processed data is stored with a reference back to the original document, searchable, reviewable, and ready to push into the systems you already use.
- Cloud storage with original-document reference
- REST API for external systems to push and pull documents/results
- Works toward ERP (SAP, Tally, Zoho Books), email ingestion, Slack/Teams alerts, and webhooks
Connected everywhere