Book Bank OCR

POST https://apis.aigen.online/aiscript/bookbank/v1

Request Body

Name	Type	Description
image*	String	Input base64 image encoded utf-8

200: OK Successful response

{
  "response_id": "996b3cf298d546adb97c719711504e58",
  "status": 1,
  "data": [
    {
      "key": "bank_name",
      "value": "krungthai",
      "confidence": 0.98
    },
    {
      "key": "branch",
      "value": "29 ถนนสุขสวัสดิ์",
      "confidence": 0.99
    },
    {
      "key": "account_no",
      "value": "000000000",
      "confidence": 0.96
    },
    {
      "key": "account_name",
      "value": "นายไกรสร ก๋าใจ",
      "confidence": 0.97
    }
  ],
  "request_id": "996b3cf298d546adb97c719711504e58"
}

400: Bad Request Bad request

{
  "response_id": "996b3cf298d546adb97c719711504e58",
  "status": 0,
  "errors": {
    "error_message": "Image quality not acceptable",
    "error_code": 1002
  },
  "request_id": "996b3cf298d546adb97c719711504e58"
}

422: Unprocessable Entity Validation error

{
  "detail": [
    {
      "loc": [
        "string"
      ],
      "msg": "string",
      "type": "string"
    }
  ]
}

​Example code

Python

import requests
import json

api = "https://apis.aigen.online/aiscript/bookbank/v1"
headers = {"x-aigen-key": "<key>", "content-type": "application/json"}
data = json.dumps({"image": "<base64_string>"})

res = requests.post(api, data=data, headers=headers)
print(res.json())

Nodejs

const axios = require("axios");

const api = "https://apis.aigen.online/aiscript/bookbank/v1";
const headers = {
  "x-aigen-key": "<key>",
};
const data = { image: "<base64_string>" };

axios
  .post(api, data, { headers: headers })
  .then((res) => {
    console.log(res.data);
  })
  .catch((err) => {
    console.error(err.response.data);
  });