We developed a set of features to complete your experience

One of our core values is to bring sense and make our technology usable in an everyday context. Nobody wants to pay for something they do not use.

Quality Check

This can help you prevent fraudulent usage of your service via our analysis

Learn more about this feature

ACMEStore

15 product street,

Annecy

  • MLKX2

    18.49€

  • TMATOES2KG

    2.23€

  • PASTA500G

    1.19€

  • CSHWMLKDRNKBB1L

    3.49€

  • FLTPLTBLCCRF

    4.81€

Total

30.21€

PAID CARD

20.21€

PAID CASH

10€

29032020 10:30

Before analysing a given image, you can use our special endpoint to check if an image is good enough and actually contains a receipt.

Anomaly detection

This can help you prevent fraudulent usage of your service via our analysis

How to use it

ACMEStore

15 product street,

Annecy

  • MLKX2

    18.49€

  • TMATOES2KG

    2.23€

  • PASTA500G

    1.19€

  • CSHWMLKDRNKBB1L

    3.49€

  • FLTPLTBLCCRF

    4.81€

Total

30.21€

PAID CARD

20.21€

PAID CASH

10€

29032020 10:30

Recurrent anomalies detected from consumers

Uncommon similarities between two receipts

Date / Time inconsistencies

Image similar to another

We use more than 12 control points to evaluate the uniqueness of a receipt. We also check surrounding information with image metadata and user recidivism.

Rewards

Detecting products in any receipt to validate rewards in less than 10 seconds

How to use it

ACMEStore

15 product street,

Annecy

  • MLKX2

    18.49€

  • TMATOES2KG

    2.23€

  • PASTA500G

    1.19€

  • CSHWMLKDRNKBB1L

    3.49€

  • FLTPLTBLCCRF

    4.81€

Total

30.21€

PAID CARD

20.21€

PAID CASH

10€

29032020 10:30

You can set validations on promotion duration, number of a given product bought, amount spent of a given product, which products validate the rewards, store, and many more...

Curious? Explore more content right below

We scale with your business

Find the best fit regarding your receipt analysis needs, or talk with us to tailor your own pricing.

A lot more than extracted data

See what it means to disrupt the consumption data sector by viewing how to apply this data to your day-to-day job

Extract data from receipts like no one before

What are the possible data to extract from a receipt? And how to get the most of it?