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pyaadhaar

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pyaadhaar

This library is built to ease the process of decoding aadhaar QR codes and XML. It supprts old aadhaar QR codes , newly released Secure aadhaar QR codes and also Offline e-KYC XML. This library also can decode QR codes with Opncv. This library bundled with all the features to verify user's Email Id and Mobile Number & also to extract the photo of user.

2.0.2
pipPyPI
Maintainers
1

PyAadhaar Library

Designed to decode Aadhaar Old QR Code , Secure QR Code and also Offline XML

|| Decode New Adhaar Secure QR Code ||

=> Initialize Object & Print Decoded Data

from pyaadhaar.decode import AadhaarSecureQr

obj  = AadhaarSecureQr(<:Data got from QR:>)
print(obj.decodeddata())

Output :

{'email_mobile_status': '2',
'referenceid': '345642020107890441252',
'name': 'X Das',
'dob': '01-01-2000',
'gender': 'F',
'careof': 'C/O: Y Das',
'district': 'Nadia',
'landmark': 'Primary School',
'house': 'N0456',
'location': 'Taherpur',
'pincode': '741159',
'postoffice': 'Taherpur',
'state': 'West Bengal',
'street': 'Taherpur Road',
'subdistrict': 'Ranaghat - I',
'vtc': 'Taherpur ',
'adhaar_last_4_digit': '3456',
'adhaar_last_digit': '6',
'email': 'no',
'mobile': 'yes'}

=> Verify Email Id Or Mobile

print(obj.verifyEmail("example@gmail.com"))
print(obj.verifyMobileNumber(9999999999))

Output :

True  # True if Email Verified
False # True if Mobile Number Verified

=> Check for Email Id Or Mobile Registration

print(obj.isEmailRegistered("example@gmail.com"))
print(obj.isMobileNoRegistered(9999999999))

Output :

True  # True if Email Registered
False # True if Mobile Number Registered

=> Get if there exists any image in the QR CODE

image = obj.isImage()

Output :

True  # True if Image is there
False # False if Image is not there

=> Get The Image Of User

image = obj.image()

=> Save The Image Of User

obj.saveimage("filename.jpg")

=> Get SHA256 Hash of Email

print(obj.sha256hashOfEMail())

Output :

d5598a28a82666c7ed9978h8936851189c494c84e62ab9782492fd038d9cb328

=> Get SHA256 Hash of Mobile Number

print(obj.sha256hashOfMobileNumber())

Output :

15a79565f9f1880e94dc62de51o9j7bd08542e7a6df82081ce1e72f0fb199e69

|| Decode Old Adhaar QR Code ||

=> Initialize Object & Print Decoded Data

from pyaadhaar.decode import AadhaarOldQr

obj  = AadhaarOldQr(<:Data got from QR:>)
print(obj.decodeddata())

Output :

{'uid': '6XXXXXXXX789',
 'name': 'X Sarkar',
 'gender': 'M',
 'yob': '2001',
 'gname': 'Y Sarkar',
 'street': 'TAHERPUR ROAD',
 'lm': 'TAHERPUR',
 'loc': '-',
 'vtc': 'Taherpur (P)',
 'po': 'Taherpur',
 'dist': 'Nadia',
 'subdist': 'Ranaghat - I',
 'state': 'West Bengal',
 'pc': '741159',
 'dob': '01/01/2001'}

|| Decode Adhaar Offline e-KYC XML ||

=> Initialize Object & Print Decoded Data

from pyaadhaar.decode import AadhaarOfflineXML

obj  = AadhaarOfflineXML(<:Offline e-KYC XML ZIP:>,<Passcode>)
print(obj.decodeddata())

Output :

{'email_mobile_status': '2',
'referenceid': '345642020107890441252',
'name': 'X Das',
'dob': '01-01-2000',
'gender': 'F',
'careof': 'C/O: Y Das',
'district': 'Nadia',
'landmark': 'Primary School',
'house': 'N0456',
'location': 'Taherpur',
'pincode': '741159',
'postoffice': 'Taherpur',
'state': 'West Bengal',
'street': 'Taherpur Road',
'subdistrict': 'Ranaghat - I',
'vtc': 'Taherpur ',
'adhaar_last_4_digit': '3456',
'adhaar_last_digit': '6',
'email': 'no',
'mobile': 'yes'}

=> Verify Email Id Or Mobile

print(obj.verifyEmail("example@gmail.com"))
print(obj.verifyMobileNumber(9999999999))

Output :

True  # True if Email Verified
False # True if Mobile Number Verified

=> Check for Email Id Or Mobile Registration

print(obj.isEmailRegistered("example@gmail.com"))
print(obj.isMobileNoRegistered(9999999999))

Output :

True  # True if Email Registered
False # True if Mobile Number Registered

=> Get The Image Of User

image = obj.image()

=> Save The Image Of User

obj.saveimage("filename.jpg")

=> Get SHA256 Hash of Email

print(obj.sha256hashOfEMail())

Output :

d5598a28a82666c7ed9978h8936851189c494c84e62ab9782492fd038d9cb328

=> Get SHA256 Hash of Mobile Number

print(obj.sha256hashOfMobileNumber())

Output :

15a79565f9f1880e94dc62de51o9j7bd08542e7a6df82081ce1e72f0fb199e69

|| Decode Image Of QR Code ||

from pyaadhaar.utils import Qr_img_to_text

print(Qr_img_to_text(<Image File Location or Image file stream>))

Output :

["google.com","amazon.in"] # Will return a list of data

|| Aadhaar Auto Initialize Class On QR code Type ||

=> Initialize


from pyaadhaar.utils import AadhaarQrAuto

obj = AadhaarQrAuto(<Aadhaar QR code Data >)
  • Then all the methods are same corresponding to
    • AadhaarOldQr
    • AadhaarSecureQr

|| Aadhaar Check Old or Secure QR Code||

=> Initialize

from pyaadhaar.utils import isSecureQr

print(isSecureQr(<Aadhaar QR code Data >))

Output :

True # If it is a new secure QR code, else False

Contributors

Thanks to the developer of these libraries

  • Opencv
  • Pillow
  • Libjpeg
  • Numpy

Keywords

software development aadhaar e-kyc verification

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