Receipts, invoices, expense slips — into a workflow at one end, into your accounting system as structured data at the other. No OCR setup, no template configuration, no per-vendor rules. The model reads the image like a human does.
The workflow takes a photo or scan of a receipt and returns clean structured JSON that drops directly into Google Sheets, Xero, QuickBooks, or any system that takes named fields. Below: a real test run on a Zara receipt.
Most "invoice OCR" pitches sell you a £200 tool. This isn't a tool — it's the workflow that removes a person from a job they hate doing. The cost arithmetic is brutal:
Payback period: less than one month at typical client setup fees. After that, every invoice processed is pure margin — and the team gets their afternoons back.
Same engine, three different deployment shapes — depending on whether you're running your own books, managing a small finance team, or operating a full accounts-payable function. Each tier builds on the last; you can always start small and grow into the next one.
No template configuration, no vendor-specific rules, no OCR engine to maintain. Claude's vision model reads the image directly — handles handwritten receipts, faded thermal paper, foreign-language invoices, and weird layouts that break traditional OCR.
[ File upload form ] ↓ Claude vision ──→ reads image, returns structured JSON ↓ JSON cleanup ──→ strips markdown fences, adds timestamp ↓ Google Sheets ──→ append row · 8 columns ↓ Confirmation ──→ shows extracted data to uploader
Drop me a line with rough numbers — how many invoices a month, what accounting tool you run, where the friction sits — and I'll tell you honestly which tier makes sense and what it'd take to build.
hello@autom8ic.com →