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Scan a government issued ID card from India/Malaysia/Singapore and others via the PixLab docscan API endpoint. Extract the user face and process all fields - https://pixlab.io/cmd?id=docscan
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import requests | |
import json | |
# Given a government issued ID card from India (Aadhaar), Malaysia, Singapore, etc., extract the user face and parse all fields. | |
# | |
# PixLab recommend that you connect your AWS S3 bucket via your dashboard at https://pixlab.io/dashboard | |
# so that any cropped face or MRZ crop is stored automatically on your S3 bucket rather than the PixLab one. | |
# This feature should give you full control over your analyzed media files. | |
# | |
# https://pixlab.io/cmd?id=docscan for additional information. | |
req = requests.get('https://api.pixlab.io/docscan',params={ | |
'img':'https://currenthunt.com/wp-content/uploads/2019/07/Aadhaar-Card-min.jpg', # Aadhaar ID Card sample | |
'type':'idcard', # We are expecting an ID card | |
'country': 'india', # from India, we support also Malaysia/Singapore/US and Passports, | |
'key':'PIXLAB_API_KEY' # https://pixlab.io/dashboard | |
}) | |
reply = req.json() | |
if reply['status'] != 200: | |
print (reply['error']) | |
else: | |
print ("User Cropped Face: " + reply['face_url']) | |
# print ("Scanned Text: " + reply['full_text']) | |
print ("Fields: ") | |
# Display all scanned fields | |
if "country" in reply['fields']: | |
print ("\tIssuing Country: " + reply['fields']['country']) | |
if "id" in reply['fields']: | |
print ("\tID number: " + reply['fields']['id']) | |
if "name" in reply['fields']: | |
print ("\tName: " + reply['fields']['name']) | |
if "address" in reply['fields']: | |
print ("\tAddress: " + reply['fields']['address']) | |
if "sex" in reply['fields']: | |
print ("\tGender: " + reply['fields']['sex']) | |
if "birth" in reply['fields']: | |
print ("\tDate of birth: " + reply['fields']['birth']) |
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Scan an ID card using the PixLab /docscan API endpoint.
Given a government issued ID card from India, Malaysia, Singapore, etc., extract the user face and parse all fields.
PixLab recommend that you connect your AWS S3 bucket via your dashboard at https://pixlab.io/dashboard
so that any cropped face or MRZ crop is stored automatically on your S3 bucket rather than the PixLab one.
This feature should give you full control over your analyzed media files.
https://pixlab.io/cmd?id=docscan for additional information.