Read MRZ codes with mobile devices

Capture data from international ID documents in your app with Scanbot's MRZ Reader SDK

React Native

Trusted by 200+
enterprises globally

Fast & accurate MRZ data capture wherever you are

To automatically process ID information, you need to extract the data as key-value pairs first. With the Scanbot SDK, your app can quickly and accurately capture personal data from machine-readable zones (MRZ) in compliance with the highest data protection standards. Add MRZ scanning to your app and reduce manual data entry workload and cost now.

Example use cases for the MRZ scanner

Self check-in

Make checking into hotels, events, or flights simple by scanning and extracting information from machine-readable zones.

Customer onboarding

Simplify customer onboarding by extracting all information from machine-readable zones on ID cards and pre-filling forms.


Quickly let your customers confirm their identity by scanning the machine-readable zone on their ID documents.

Machine readable zones – detect, scan & extract

The Scanbot Data Capture SDK supports both two-line (TD3, TD2) and three-line (TD1, MRV-A, MRV-B) standards. It supports the following MRZ data fields on ID documents:

Document type

Document Id


Given names

Date of birth



Date of expiry

Issuing authority

On-device solution for maximum privacy & usability

As an enterprise customer, you want a mobile data capture solution that works anywhere, anytime, and to the highest possible privacy standards. That is why our Data Capture SDK operates solely on the mobile device – it will never track or send any data to any third-party server.

GDPR Compliant

GDPR & CCPA Compliant

Location Independent

Location Independent

Offline Solution

No External Servers

Learn more about our other mobile data capture solutions for ID documents

Didn't find what you need?

As customer-centric software developers, we are always interested in understanding individual needs and requirements. If you need data extracted from a source we haven’t mentioned, let's talk!

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