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.

Passbook

The PASSBOOK model is a part of the Document Processing feature that enables you to process Indian bank passbooks as financial or identity proof documents. This enables you to extract fields of data from a passbook using the OCR technology, and fetch the parameters from it in the response.

The Passbook model supports 11 Indian languages and an additional 8 International languages. You can check the list of languages and language codes from the API documentation.

You must provide the path to the image of the front page of the passbook, as shown in the code below.

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

You must specify the model type as PASSBOOK using the key modelType.

You can also optionally specify the language as shown in the code below. English will be considered as the default language, if it isn’t specified.

The response contains the bank details and account details recognized from the passbook such as the bank name, branch, address, account number. The extracted fields of information are assigned to their respective keys. The response also shows if RTGS, NEFT, and IMPS have been enabled for that account.

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

    

        
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         let fs = require('fs');
var zia = app.zia();
zia.extractOpticalCharacters(fs.createReadStream('/Users/amelia-421/Desktop/passbook.jpg'), {language: 'tam', modelType: 'PASSBOOK'}) 
//Pass the input file with the model type and the optional language
.then((result) => {
console.log(result);
})
.catch((err) => console.log(err.toString())); 
//Push errors to Catalyst Logs
});

    

A sample response that you will receive is shown below. The response is the same for both versions of Node.js.

Node js

    

        
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         {
text: "{
"address":"No.20,Gandhi Road,M.G Lane",
"city":"Chennai",
"centre":"Chennai",
"bankName":"ABX BANK LIMITED",
"accountNumber":"002001001625859",
"branch":"Anna Nagar",
"dateOfOpening":"30/08/2012",
"imps":"true",
"neft":"true", 
"district":"Chennai", 
"contact":"801234567",
"micr":"641021121",
"name":" 2312312",
"state":"Tamil Nadu",
"rtgs":"true",
"ifsc":"ABX0000311"
}"
}