WiseOCR

WiseOCR turns receipt and invoice photos or PDFs into structured JSON with vendor, date, line items, tax and total. It works through an API, Make and Zapier, supports any language and currency, and uses credit-based pricing.

WiseOCR is a document extraction service that converts receipts and invoices into structured JSON. A user sends a phone photo, a PDF of up to five pages, a link to a file or text that was already extracted, and the service returns the vendor, date, line items, tax breakdown, total, currency and country in one consistent shape. Files can be up to 4 MB, and the accepted image formats are JPG, PNG, WebP and TIFF. The product is aimed at developers who need receipt data inside an app, and at non-technical teams that want to feed spreadsheets or accounting software without retyping figures. Documents from any country and language are handled, so a US receipt, a British grocery slip and a German invoice with two VAT rates come back with identical fields. That fixed output schema is the main selling point: code written once to import the result does not need per-vendor or per-region branches. In practice there are three ways in. A public demo on the homepage lets anyone drop a file or pick a sample without signing up. The REST API accepts a file upload with an API key and responds with the extracted data plus the number of credits used. For people who prefer no code, official apps for Make and Zapier pass the data to Google Sheets, accounting tools and other connected apps. The site also says custom fields can be added to the output on request. On privacy, the vendor states that documents are processed to produce the result, are not kept in its database and are never used to train AI models. Pricing is credit based, with one credit per scanned page. Credit packs are a one-time payment valid for a year, while monthly or annual subscriptions lower the per-page cost and let unused credits roll over. A refund is offered within seven days if no credits were used. Among alternatives, WiseOCR sits between general-purpose OCR engines that return raw text and full expense-management suites. It focuses narrowly on turning financial documents into data, which suits automation pipelines more than end-user bookkeeping.