Veryfi Com

Veryfi provides OCR APIs that extract structured data from invoices, receipts, checks and other financial documents, and also detect fraud. Its tagline is AI that reads documents and knows when they are lying. Veryfi says more than 1,000 organisations use its APIs, and it holds 4.8-star ratings on both G2 and Capterra. It is SOC 2 Type II compliant and is a Y Combinator company.

Data extraction

You send a document image or PDF to the API and receive structured JSON with fields such as vendor, date, line items, tax, totals and payment details. The homepage shows examples: a coffee shop receipt with individual items, tax and a card payment; a supplier invoice with an invoice number, bill-to company, NET 30 terms, line items, freight, tax and amount due; and a multi-night hotel folio with room charges and breakfasts. Veryfi describes its models as ready from day one, so you do not need to train templates for each vendor, and highlights fast API responses.

Fraud detection

Alongside extraction, Veryfi runs checks on each document: whether line items add up, whether tax maths is correct, whether quantity multiplied by price matches, and whether the document is a duplicate. The result includes a fraud score and a colour flag, for example green with a score of 0.99 for a clean receipt. This helps expense, rewards and accounts payable platforms catch altered or reused receipts.

Mobile SDK and tools

A mobile SDK supports document capture inside your own apps, and Veryfi offers ready-made tools for expense and bookkeeping workflows.

Pricing

Veryfi offers a free trial for developers to test the API. Check the official pricing page for current plans, limits and any free trial, as prices and included usage can change.

Who it suits

Veryfi suits fintech and expense management companies, accounts payable teams, loyalty and receipt-rewards apps, and developers building bookkeeping software.

Things to consider

Test accuracy on your own documents, including poor-quality photos and non-English receipts, before going live. Fraud scores are signals, so decide how flagged documents are reviewed by people. Check data retention and privacy terms, as financial documents can contain personal information.