Create a receipt extractor for bookkeeping records

Claude Code helped assemble a tool that reads receipts, turns them into structured bookkeeping data, and handles foreign currencies by receipt date.

Done with Claude Code· Advanced· Apr 2026

What they did
A builder relied on Claude Code to put together a freelancer-focused bookkeeping app from backend to interface. They used it to wire up the database, file storage, receipt intake, and the flow that turns receipt images into structured data. The system accepted uploads from the web and also receipts sent through Telegram or Discord. It pulled out key fields into a fixed JSON-style record, saved the OCR output for later checks, applied the exchange rate from the receipt date for non-local currencies, and routed uncertain cases to a person who could fix them directly in the review screen.
How it went
The builder ended up with a beta they felt comfortable sharing. It supported English and French, included a searchable ledger, and showed deduction help while reviewing receipts. It still needed manual attention in many cases, with receipts handled mostly one at a time and corrected entries not yet reused automatically.
Tips
For this kind of task, plan for messy inputs and uncertain reads instead of trying to solve everything with one prompt. A review step and a fallback path will save time when the extraction confidence is low.

Try it yourself with Claude Code

Build a small bookkeeping app that accepts receipt images or PDFs from [source] and extracts [vendor], [date], [total], [tax], [currency], and [line items] into [CSV or JSON]. If the receipt uses a foreign currency, convert it to [home currency] using the exchange rate on that date and show the rate used. Keep the raw OCR text, and send any low-confidence receipt to a review screen where I can correct the fields before anything is [saved/exported/submitted]. After that, show me the parsed records and the items that need review.

Fill in the [brackets]. Agents can make mistakes, so review anything before it is sent, paid or deleted.

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