Turn messy invoice PDFs into structured, queryable data.
Upload any invoice PDF. Invoizen extracts the vendor, dates, line items and amounts with an LLM, then verifies the math — and flags anything it isn't sure about for human review instead of silently trusting it.
A one-click sample invoice (US and European formatting) demos the whole flow without hunting for a PDF.
LLM extraction
Gemini reads any invoice PDF and pulls out the vendor, dates, line items and amounts as structured fields.
Deterministic math checks
Totals are cross-checked against line items and tax instead of being trusted. Locale quirks like 1.234,56 vs 1,234.56 are parsed exactly.
Human review, only when needed
Anything uncertain is flagged for review — a mismatch, a missing total, low confidence. Nothing is silently guessed.
Searchable and filterable
Every extracted invoice is queryable by vendor, number, PO, date, currency and status. Find it later without digging through PDFs.
How it works
- 01Upload a PDFAny invoice — US or European formatting, multiple line items, tax included.
- 02Invoizen extractsAn LLM reads the file; a deterministic normalizer parses amounts and dates.
- 03Math is verifiedSubtotal + tax + shipping − discount is reconciled against the total, deterministically.
- 04Review, save, searchFlagged invoices land in a review queue. Approve and they're in your queryable ledger.
Your invoices, accurately extracted — and verified.
Upload your first PDF or generate a realistic sample invoice to see the full pipeline in action.