One engine. Every step of the document lifecycle.
From the moment a document lands to the moment its data is usable elsewhere, here's how ProGen handles each step.
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
How it works
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
How it works
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
How it works
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
How it works
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
How it works
Connected everywhere