PP 30 OCR

API Documentation for PP 30 OCR

API Version: Version 1 (Latest)

Extract PP30 information from image

Error Definition

http status	error_code	error_message
200	-	-
400	001	cannot convert image please check your image (image must be base64 of png,jpg,tif,tiff,pdf)
400	002	cannot convert image please check your image (image must be base64 and image size must between 500x500 and 10000x10000)
400	003	cannot find any field in document please check your image data
500	500	some error occur in serverside

Key Definition

key name	key thai
tax_id_number	เลขประจำตัวผู้เสียภาษี
monthly_sales	ยอดขายในเดือนนี้ (หัวข้อ 1)
type_document	แบบที่ยื่น
entrepreneur_name	ชื่อผู้ประกอบการ
establishment	ชื่อสถานประกอบการ
tax_summary_11	ภาษีสุทธิ ต้องชำระ (หัวข้อ 11)
tax_summary_12	ภาษีสุทธิ ชำระเกิน (หัวข้อ 12)
type_tax_filling	แบบที่ยื่น
month_tax_filling	เดือนภาษี

PP 30 OCR

POST https://apis.aigen.online/aiscript/pp-30/v1

Request Body

Name	Type	Description
image*	String	Base64 image encoded string

200: OK Successful response

{
  "status": "200",
  "message": "success",
  "respones_id": "string",
  "error_list": [
    {
      "code": "string",
      "message": "string"
    }
  ],
  "result": [
    {
      "key": "sales",
      "text": "4516.50",
      "bboxes": [
        [
          [
            0
          ]
        ]
      ]
    }
  ]
}

400: Bad Request Bad request

{
  "status": "001",
  "message": "error",
  "respones_id": "string",
  "error_list": "cannot convert image please check your image (image must be base64 of png,jpg,tif,tiff,pdf)",
  "result": null
}

422: Unprocessable Entity Missing or invalid input

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

Example code

Python

import requests
import json

api = "https://apis.aigen.online/aiscript/pp-30/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/pp-30/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);
  });