Identity Scanner

Identity Scanner is a Zia AI-driven component that enables you to perform secure identity checks on individuals and documents by scanning and processing various ID proofs or official documents. It is a comprehensive suite that incorporates multiple functionalities divided into two major categories- E-KYC and Document Processing.

Note: Catalyst does not store any of the files you upload in its systems. The documents you upload are used for one-time processing only. They are not used for ML model training purposes either. Catalyst components are fully compliant with all applicable data protection and privacy laws.


The PAN model is a part of the Document Processing feature that enables you to process Indian PAN cards as identity proof documents. This enables you to extract fields of data from a PAN card using an advanced OCR technology, and return the parameters recognized from the PAN card in the response.

Note:Document Processing is only relevant to Indian users and is only available in the IN DC. This feature will not be available to users accessing from the EU, AU, US, or CA DCs. Users outside of India from the other DCs can access the general OCR component to read and process textual content.

You must provide the path to the image file of the front side of the PAN card to the open() method, as shown in the code below. This method opens the file and returns the file object as a response.

The zia reference used below is already defined in the component instance page.

Allowed file formats: .jpg, .jpeg, .png
File size limit: 15 MB

You must specify the model type as PAN using modelType. The PAN model can only process text in English by default. No other languages are supported.

The response will contain the parameters extracted from the PAN card such as their first name, last name, date of birth, and their PAN card number assigned to the respective keys.

img = open('sample.jpg', 'rb') result = zia.extract_optical_characters(img, {'modelType': 'PAN'})

The response is shown below :

{ date_of_birth: "03/04/1982", last_name: "VASUDEV MAHTO", pan: "ANRPM2537J", first_name: "PRAMOD KUMAR MAHTO" }

Last Updated 2024-01-04 12:37:42 +0530 +0530