ID Card OCR

​Extract ID CARD information from an image or photo Currently only Thai ID Card is supported. Confidence score is scored from the OCR result.

Response Definition

http status	error code	error message	description
200	-	-	OCR successful
206	partial_content	partial_content	Some page of request is invalid
400	no_id_card	no idcard on image	Can't detect ID CARD on image

​Confidence score is -1.0 when the value of each validation field is False.

Request Options

option key	description	what change
censor_field	censor source image depend on given input fields the list of censor fields like ["id_number","title_name_surname_th"]	response data each page has key "option" in "option" has "processed_image" that contain censored_image in base64 format
return_face	Set true to enable return of facial image in UTF-8 Base64 format	response data each page has key "option" in "option" has "face" that contain face_image in base64 format
return_gender	Set true to return of the gender information	esponse data each page has key "option" in "option" has "gender" that contain "M"/"F"/"N/A"
return_signed	Set true to enable detection of overlaying signed on top of the document's photos or images	response data each page has key "option" in "option" has "signed" that contain true/false
do_field_validation	Set true to enable field validation	response data "id_number" has 2 new key valid(bool), error_message(List[str])
return_datetime_iso	Set true to enable add date time iso format to field date time	response data "dob_th","dob_en","doi_th","doi_en","doe_th","doe_en", has 3 new key valid(bool), datetime_iso(str)

Extract ID card information

POST https://apis.aigen.online/aiscript/idcard/v2

Request Body

Name	Type	Description
image*	String	Base64 image encoded string
option	Object	Specify optional features like { censor_field:[field_array] return_face: true, ... }

200: OK Successful response

{
  "status": "success",
  "error": [
    {
      "object": "error",
      "code": "string",
      "message": "string"
    }
  ],
  "data": [
    {
      "option": {}
    },
    "string"
  ],
  "request_id": "string"
}

400: Bad Request Invalid input

{
  "status": "error",
  "request_id": "Unique id of the response",
  "error": [
    {
      "object": "error",
      "code": "no_id_card",
      "message": "no idcard on image"
    }
  ],
  "data": "Unknown Type: null"
}

Python

import requests

api = "https://apis.aigen.online/aiscript/idcard/v2"
headers = {"x-aigen-key": "<key>"}
data = {
  "image": "base64_image",
  "option": {} #optional
}
res = requests.post(api, json=data, headers=headers)
print(res.json())

Nodejs

const axios = require("axios");

const api = "https://apis.aigen.online/aiscript/idcard/v2";
const headers = { "x-aigen-key": "" };
const data = { 
               image: "<base64_string>",
               option : {} //optional
             };
axios
  .post(api, data, { headers: headers })
  .then((res) => {
    console.log(res.data);
  })
  .catch((err) => {
    console.error(err.response.data);
  });

PHP

<?php

$curl = curl_init();

curl_setopt_array($curl, array(
  CURLOPT_URL => 'https://apis.aigen.online/aiscript/idcard/v2',
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_CUSTOMREQUEST => 'POST',
  CURLOPT_POSTFIELDS =>'{
    "image": "<base64_string>",
     "option" : {}
}',
  CURLOPT_HTTPHEADER => array(
    'X-AIGEN-KEY: <aigen-key>',
    'Content-Type: application/json'
  ),
));

$response = curl_exec($curl);

curl_close($curl);
echo $response;
?>

CURL

curl --location 'https://apis.aigen.online/aiscript/idcard/v2' \
--header 'X-AIGEN-KEY: <aigen-key>' \
--header 'Content-Type: application/json' \
--data '{
    "image": "<base64_string>",
    "option" : {}
}'