🆔National ID OCR

This API provides Data Extraction for the Egyptian National ID, without document verification.

Egyptian National ID OCR

POST https://valifystage.com/api/v1.5/ocr/

Headers

Name	Type	Description
Content-Type*	string	application/json
Authentication*	string	Bearer <access-token>

Request Body

Name	Type	Description
document_type*	string	egy_nid
data*	object	Object containing the parameters below: { front_img: <base64 str>, back_img: <base64 str>, bundle_key: <str>, lang: <str> }

200 Successful

{
    "result": {
        "first_name": '<string>',
        "full_name": '<string>',
        "street": '<string>',
        "front_nid": '<string>',
        "serial_number": '<string>',
        "back_nid":'<string>',
        "release_date": '<string>',
        "gender": '<string>',
        "marital_status": '<string>'
        "profession": '<string>',
        "religion":'<string>',
        "husband_name": '<string>',
        "date_of_birth": '<string>',
        "age":'<int>',
        "birth_governarate": '<string>',
        "police_station": '<string'>,
        "expiry_date": '<string>',
    },
    "transaction_id": '<string>',
    "trials_remaining": '<int>'
}

400 Missing input data

{
    "message": "Bad Request – invalid request received (e.g. missing Bundle key, required parameters or invalid json) | Make sure all the required parameters are included"
}

401 Invalid bundle key

{
    "message": "Unauthorized – your Bundle key is invalid"
}

403 Access token error

{
    "message": "Forbidden – specified access_token could not be found"
}

404 Check the endpoint

{
    "message": "Not Found"
}

415 The format should be base64

{
    "message": "Unsupported Media Type"
}

422 Check Valify error codes

{
    "message": "<error-description>",
    "error_code": <valify-error-code>
}

500 Contact us

{
    "message": "Internal Server Error"
}

---

Integration

Postman

1. Download the JSON file from here.

1KB

Valify - EGY NID OCR v1.5.postman_collection

1. Open Postman and click on Import.

1. Drop the JSON file.

1. Click on "Egy NID OCR" then click on "Authorization" and replace the <access token> field with your access token and then click on "Body".

1. After clicking on "Body", fill in the required fields then click Send.

Please note that the front and back images should be converted to base 64 format. This can be done via an online tool; https://base64.guru/converter/encode/image/jpg

Python 3

import requests
import base64
import json

def base64_encode(file_name):
    with open(file_name, "rb") as image_file:
        encoded_string = base64.b64encode(image_file.read()).decode()
        return encoded_string
    return ""

front_image = base64_encode('<image path>')#Put your front image path here
back_image = base64_encode('<image path>')#Put your back image path here
token = "<token>"

r = requests.post("https://www.valifystage.com/api/o/token/",
        data={
            'username': '<username>', #Put all your credentials in those fields
            'password': '<password', 
            'client_id': '<client_id>',  
            'client_secret': '<client_secret>', 
            'grant_type': 'password'
        }
    )

token=r.json()['access_token']

data = {
    'document_type': 'egy_nid', 
    'data':
    {   
        'front_img': front_image,
        'back_img': back_image,
        'verify_document':'false',
        'bundle_key': '<bundle key>', # Put your bundle key here
        'lang': '<lang>' 
    }
}

r = requests.post("https://valifystage.com/api/v1.5/ocr/",
        json=data,
        headers={'Authorization': 'Bearer %s' % token}
    )          

result = r.json()
print(result)