InvoiceLens
Try it free
Powered by Llama 4 vision on Groq

Turn documents into data in seconds

Upload any invoice or receipt and watch AI extract vendors, line items, and totals into clean, validated, export-ready data — complete with confidence scores for every field.

~5s
per document
10+
fields extracted
100%
schema-validated

See it in action

Upload your own document, or run a one-click sample — no sign-up needed.

Drop a file here or browse

PNG, JPEG, WebP, or PDF — max 10 MB

No invoice handy? Try a sample:
Document preview
Upload a document or pick a sample to preview it here

Extracted data

Results will appear here, editable field by field

How it works

01

Upload

Drop an image or PDF — or pick a built-in sample invoice.

02

Extract

The vision model reads the document and returns structured, schema-validated JSON.

03

Export

Review with confidence scores, edit inline, then export CSV or JSON.

Built like a real product

Not just a model call — validation, retries, rate limiting, and review tooling around it.

Vision-powered extraction

A vision LLM reads invoices, receipts, and PDFs the way a human would — no templates, no per-vendor rules.

Schema-validated output

Every response is checked against a strict Zod schema, with an automatic repair retry — malformed data never reaches your table.

Per-field confidence

Each extracted field carries a confidence score, so you know exactly what to trust and what to double-check.

Human-in-the-loop editing

Results land in an editable table beside the original document — fix anything inline before exporting.

Batch processing

Queue up to five documents, watch live progress, and download one combined CSV for your whole stack of receipts.

CSV & JSON export

One click to a spreadsheet-ready CSV or clipboard-ready JSON — wired for whatever comes next in your pipeline.