Finance & AP automation
Extract data from invoices with AI
You extract structured data from an invoice with AI by passing the document, or its OCR text, to a model constrained to a fixed JSON schema (vendor, line items, totals, tax, dates), then validating that output before it touches your ledger. The live demo below does exactly that, and this page explains how the production version stays accurate on real, messy documents.
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Invoice → JSON
Paste a messy invoice and get accounting-ready structured data with risk flags.
Why this matters now
Accounts-payable teams still key invoices by hand. Best-in-class AP reached 52.8% touchless processing in 2025, and "touchless" is now the 2026 expectation, but legacy OCR breaks on layout variety and manual entry is slow and error-prone. Vision-capable models now do in days what used to cost six figures and six months.
How the reliable version works
- 1A vision model reads the document directly, or OCR extracts the text first for scans and photos.
- 2A schema-constrained model maps every field into typed JSON, so the output is data, not free-form prose.
- 3Validation rules check that line items sum to the total, dates are valid, and required fields are present.
- 4Duplicate and anomaly detection flags re-submissions and outliers before they reach the ledger.
- 5Low-confidence fields route to a human: touchless where it is safe, reviewed where it is not.
Common questions
How accurate is AI invoice extraction?
On clean documents it is near-perfect for standard fields. On messy, varied layouts, reliability comes from the pattern, not a single model call: schema-constrained output, validation rules, and confidence-based routing to a human for the fields the model is unsure about.
Can it handle scanned images and photos, not just digital PDFs?
Yes. A vision model reads the image directly, or OCR extracts the text first. The live OCR demo shows that text step running fully in your browser.
Do I have to send my invoices to a third party?
Not necessarily. Extraction can run on self-hosted models so documents never leave your environment, which matters for finance data. I build both the hosted and self-hosted versions.
Related demos, work and services
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