Tabscanner Receipt Parsing API Case Studies
Tabscanner Case Studies will give you insight into the power of the world’s number 1 receipt parsing API. Information extraction from receipts using machine learning and deep learning AI. Faster, more accurate and better value than alternatives. The wide range of use cases involve loyalty program receipt scanning, market research and expense management OCR.
Tabscanner Case Studies
If you have any questions try our AI chatbot below, or visit the Tabscanner Contact page and we will be happy to arrange a meeting.
Alternatively, you can read more about the most accurate receipt parsing API on the homepage. Which links to further resources such as using the API with Python, why we moved on from Github and how we got the accuracy so high.
A new addition to the website for 2025 is Use Cases, as well as the Case Studies above. This includes receipt rewards, market research for consumer, plus expense management. You will see links for all 3 in the footer.
Reviews
“Tabscanner has provided us with a comprehensive and scalable solution to provide automated data extraction from receipts within our core application. We were able to launch the integration within a number of weeks due to Tabscanner’s simple to use API and quick response times from the support team”
Chris Gregg - CEO Lightyear
“Integrating this OCR API boosted our program’s user engagement. Members love the easy upload process, and we’re seeing increased participation rates.”
James Dunn, Loyalty Analytics Manager, Loyalty Collinson
“The multi-language support is fantastic. Our international team can now submit receipts from anywhere, and the system handles it very well. It’s significantly reduced errors in our expense reports.”
Javier M., Operations Director, Wipro
Integrating Tabscanner OCR enhanced our platform’s functionality. Our users report faster expense tracking and fewer data entry errors. It’s a valuable addition to our ecosystem