Telecommunication Bill OCR

​Extract telecommunication bill information from an image or photo

Key List

key	description
recipient_name	name of bill recipient
due_date	payment due date
total_amount	total bill amount

Extract telecommunication bill information

POST https://apis.aigen.online/aiscript/utility-telecommunicationbill/v1

Request Body

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

200: OK Successful response

{
  "status": "200",
  "message": "success",
  "response_id": "bafd703dd66c425e8fa097bdad899257",
  "error_list": [],
  "result": [
    {
      "confidence": 1,
      "key": "name",
      "rect": [
        271,
        212,
        502,
        250
      ],
      "text": "นาย ปัญญา ประดิษฐ์"
    },
    {
      "confidence": 0.99,
      "key": "payment_date",
      "rect": [
        1306,
        762,
        1480,
        795
      ],
      "text": "03/02/2565"
    },
    {
      "confidence": 1,
      "key": "total_amount",
      "rect": [
        1040,
        762,
        1147,
        795
      ],
      "text": "266.43"
    }
  ]
}

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/utility-telecommunicationbill/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/utility-telecommunicationbill/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);
  });