curl --request POST \
  --url https://api.textin.ai/ai/service/v3/entity_extraction \
  --header 'Content-Type: application/json' \
  --header 'x-ti-app-id: <api-key>' \
  --header 'x-ti-secret-code: <api-key>' \
  --data '
{
  "file": {
    "file_base64": "/9j/4AAQSk...",
    "file_url": "https://example.com/document.pdf",
    "file_name": "document.pdf"
  },
  "schema": {
    "type": "object",
    "properties": {
      "product": {
        "type": "string",
        "description": "Product name"
      }
    },
    "required": [
      "product"
    ]
  },
  "parse_options": {
    "page_start": 1,
    "page_count": 10,
    "get_image": "objects",
    "crop_dewarp": 0,
    "remove_watermark": 0,
    "parse_mode": "scan",
    "formula_level": 0,
    "table_flavor": "html",
    "pdf_pwd": "<string>"
  },
  "extract_options": {
    "generate_citations": true,
    "stamp": true
  }
}
'

import requests

url = "https://api.textin.ai/ai/service/v3/entity_extraction"

payload = {
    "file": {
        "file_base64": "/9j/4AAQSk...",
        "file_url": "https://example.com/document.pdf",
        "file_name": "document.pdf"
    },
    "schema": {
        "type": "object",
        "properties": { "product": {
                "type": "string",
                "description": "Product name"
            } },
        "required": ["product"]
    },
    "parse_options": {
        "page_start": 1,
        "page_count": 10,
        "get_image": "objects",
        "crop_dewarp": 0,
        "remove_watermark": 0,
        "parse_mode": "scan",
        "formula_level": 0,
        "table_flavor": "html",
        "pdf_pwd": "<string>"
    },
    "extract_options": {
        "generate_citations": True,
        "stamp": True
    }
}
headers = {
    "x-ti-app-id": "<api-key>",
    "x-ti-secret-code": "<api-key>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {
    'x-ti-app-id': '<api-key>',
    'x-ti-secret-code': '<api-key>',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    file: {
      file_base64: '/9j/4AAQSk...',
      file_url: 'https://example.com/document.pdf',
      file_name: 'document.pdf'
    },
    schema: {
      type: 'object',
      properties: {product: {type: 'string', description: 'Product name'}},
      required: ['product']
    },
    parse_options: {
      page_start: 1,
      page_count: 10,
      get_image: 'objects',
      crop_dewarp: 0,
      remove_watermark: 0,
      parse_mode: 'scan',
      formula_level: 0,
      table_flavor: 'html',
      pdf_pwd: '<string>'
    },
    extract_options: {generate_citations: true, stamp: true}
  })
};

fetch('https://api.textin.ai/ai/service/v3/entity_extraction', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.textin.ai/ai/service/v3/entity_extraction",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'file' => [
        'file_base64' => '/9j/4AAQSk...',
        'file_url' => 'https://example.com/document.pdf',
        'file_name' => 'document.pdf'
    ],
    'schema' => [
        'type' => 'object',
        'properties' => [
                'product' => [
                                'type' => 'string',
                                'description' => 'Product name'
                ]
        ],
        'required' => [
                'product'
        ]
    ],
    'parse_options' => [
        'page_start' => 1,
        'page_count' => 10,
        'get_image' => 'objects',
        'crop_dewarp' => 0,
        'remove_watermark' => 0,
        'parse_mode' => 'scan',
        'formula_level' => 0,
        'table_flavor' => 'html',
        'pdf_pwd' => '<string>'
    ],
    'extract_options' => [
        'generate_citations' => true,
        'stamp' => true
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "x-ti-app-id: <api-key>",
    "x-ti-secret-code: <api-key>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.textin.ai/ai/service/v3/entity_extraction"

	payload := strings.NewReader("{\n  \"file\": {\n    \"file_base64\": \"/9j/4AAQSk...\",\n    \"file_url\": \"https://example.com/document.pdf\",\n    \"file_name\": \"document.pdf\"\n  },\n  \"schema\": {\n    \"type\": \"object\",\n    \"properties\": {\n      \"product\": {\n        \"type\": \"string\",\n        \"description\": \"Product name\"\n      }\n    },\n    \"required\": [\n      \"product\"\n    ]\n  },\n  \"parse_options\": {\n    \"page_start\": 1,\n    \"page_count\": 10,\n    \"get_image\": \"objects\",\n    \"crop_dewarp\": 0,\n    \"remove_watermark\": 0,\n    \"parse_mode\": \"scan\",\n    \"formula_level\": 0,\n    \"table_flavor\": \"html\",\n    \"pdf_pwd\": \"<string>\"\n  },\n  \"extract_options\": {\n    \"generate_citations\": true,\n    \"stamp\": true\n  }\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("x-ti-app-id", "<api-key>")
	req.Header.Add("x-ti-secret-code", "<api-key>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.textin.ai/ai/service/v3/entity_extraction")
  .header("x-ti-app-id", "<api-key>")
  .header("x-ti-secret-code", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"file\": {\n    \"file_base64\": \"/9j/4AAQSk...\",\n    \"file_url\": \"https://example.com/document.pdf\",\n    \"file_name\": \"document.pdf\"\n  },\n  \"schema\": {\n    \"type\": \"object\",\n    \"properties\": {\n      \"product\": {\n        \"type\": \"string\",\n        \"description\": \"Product name\"\n      }\n    },\n    \"required\": [\n      \"product\"\n    ]\n  },\n  \"parse_options\": {\n    \"page_start\": 1,\n    \"page_count\": 10,\n    \"get_image\": \"objects\",\n    \"crop_dewarp\": 0,\n    \"remove_watermark\": 0,\n    \"parse_mode\": \"scan\",\n    \"formula_level\": 0,\n    \"table_flavor\": \"html\",\n    \"pdf_pwd\": \"<string>\"\n  },\n  \"extract_options\": {\n    \"generate_citations\": true,\n    \"stamp\": true\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.textin.ai/ai/service/v3/entity_extraction")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["x-ti-app-id"] = '<api-key>'
request["x-ti-secret-code"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"file\": {\n    \"file_base64\": \"/9j/4AAQSk...\",\n    \"file_url\": \"https://example.com/document.pdf\",\n    \"file_name\": \"document.pdf\"\n  },\n  \"schema\": {\n    \"type\": \"object\",\n    \"properties\": {\n      \"product\": {\n        \"type\": \"string\",\n        \"description\": \"Product name\"\n      }\n    },\n    \"required\": [\n      \"product\"\n    ]\n  },\n  \"parse_options\": {\n    \"page_start\": 1,\n    \"page_count\": 10,\n    \"get_image\": \"objects\",\n    \"crop_dewarp\": 0,\n    \"remove_watermark\": 0,\n    \"parse_mode\": \"scan\",\n    \"formula_level\": 0,\n    \"table_flavor\": \"html\",\n    \"pdf_pwd\": \"<string>\"\n  },\n  \"extract_options\": {\n    \"generate_citations\": true,\n    \"stamp\": true\n  }\n}"

response = http.request(request)
puts response.read_body

{
  "code": 200,
  "message": "Success",
  "version": "v3.0.29_20250819",
  "duration": 8267,
  "x_request_id": "7596b8c9d2ddbc9924b66651e9efc174",
  "status": "finished",
  "result": {
    "success_count": 1,
    "extracted_schema": {
      "product": "Kids' Looney Tunes UT (short-sleeve T-shirt), Women's SUPIMA COTTON crew-neck T-shirt (short-sleeve)"
    },
    "citations": {
      "product": {
        "value": "Kids' Looney Tunes UT (short-sleeve T-shirt), Women's SUPIMA COTTON crew-neck T-shirt (short-sleeve)",
        "bounding_regions": [
          {
            "page_number": 1,
            "position": [
              137,
              599,
              1129,
              599,
              1129,
              625,
              182,
              625
            ],
            "text": "Kids' Looney Tunes UT (short-sleeve T-shirt), Women's SUPIMA COTTON crew-neck T-shirt (short-sleeve)"
          }
        ]
      }
    },
    "pages": [
      {
        "page_number": 1,
        "status": "Success",
        "durations": 930.178466796875,
        "image_id": "62bfe3c3a8e9c9cf.jpg",
        "height": 1824,
        "width": 600,
        "angle": 0
      }
    ],
    "stamps": [
      {
        "color": "红色",
        "position": [
          1223,
          995,
          1642,
          1007,
          1630,
          1689,
          1621,
          1677
        ],
        "stamp_shape": "圆章",
        "type": "公章",
        "value": "电力公司专用章"
      }
    ]
  },
  "part_durations": {
    "parse_duration": 1080,
    "retrieve_duration": 0,
    "prompt_duration": 1,
    "llm_duration": 7114,
    "format_duration": 51
  }
}