ImageToTextTask

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这是常规验证码，即包含文本的图片，需要输入相应的文本。

请求参数

type<string>required

ImageToTextTask

---

body<string>required

以base64编码的文件主体。确保发送时没有换行符。

---

capMonsterModule<string>optional

识别模块的名称，例如“yandex”。可以通过这里找到模块名称及所有可用模块的列表。
示例: yandex, special 及其他

---

recognizingThreshold<integer>optional

验证码识别阈值，可取值范围为0到100。例如，如果将 recognizingThreshold 设置为90，并且任务以80的置信度解决，则不会收费。在这种情况下，用户会收到 ERROR_CAPTCHA_UNSOLVABLE 的响应。 种设置扣款阈值的替代方法在 该文章 中有描述。

---

case<boolean>optional

true - 如果验证码区分大小写。

---

numeric<integer>optional

1 - 如果验证码仅包含数字。
可能的值: 0, 1

---

math<boolean>optional

false — 未定义；
true — 如果验证码需要数学操作（例如：验证码 2 + 6 = 将返回值 8）。

Base64 是一种数据编码方法，允许将二进制数据表示为文本。以下是使用开发者工具中的控制台获取验证码图像的 base64 格式的示例：

const captchaUrl = 'https://example.com/captcha.jpg';

function loadAndEncodeCaptchaToBase64(url) {
    fetch(url)
        .then(response => response.blob())
        .then(blob => {
            const reader = new FileReader();
            reader.readAsDataURL(blob);

            reader.onloadend = function() {
                const base64Data = reader.result;                
                console.log('Base64 编码的验证码:, base64Data);

                          };
        })
        .catch(error => {
            console.error('加载或编码验证码时出错:', error);
        });
}

loadAndEncodeCaptchaToBase64(captchaUrl);

创建任务方法

POST

https://api.capmonster.cloud/createTask

要求

{
  "clientKey":"API_KEY",
  "task": {
	"type":"ImageToTextTask",
	"body":"BASE64_BODY_HERE!"
  }
}

回应

{
  "errorId":0,
  "taskId":407533072
}

获取任务结果方法

使用getTaskResult方法获取验证码的解决方案。根据系统负载，您将在300毫秒到6秒的时间范围内收到答案。

POST

https://api.capmonster.cloud/getTaskResult

要求

{
  "clientKey":"API_KEY",
  "taskId": 407533072
}

回应

{
  "errorId":0,
  "status":"ready",
  "solution": {
	"text":"answer"
  }
}

属性	类型	描述
text	String	验证码答案

使用 SDK 库

JavaScript

// https://github.com/ZennoLab/capmonstercloud-client-js

import { CapMonsterCloudClientFactory, ClientOptions, ImageToTextRequest } from '@zennolab_com/capmonstercloud-client';

document.addEventListener('DOMContentLoaded', async () => {
  const cmcClient = CapMonsterCloudClientFactory.Create(new ClientOptions({ clientKey: '<your capmonster.cloud API key>' }));
  console.log(await cmcClient.getBalance());

  const imageToTextRequest = new ImageToTextRequest({
    body: 'some base64 body',
    CapMonsterModule: CapMonsterModules.YandexWave,
    Case: true,
    numeric: 1,
    recognizingThreshold: 65,
    math: false,
  });

  console.log(await cmcClient.Solve(imageToTextRequest));
});

Python

# https://github.com/ZennoLab/capmonstercloud-client-python

import asyncio
import base64
from capmonstercloudclient import CapMonsterClient, ClientOptions
from capmonstercloudclient.requests import ImageToTextRequest

client_options = ClientOptions(api_key="your_api_key")  # Replace with your CapMonsterCloud API key
cap_monster_client = CapMonsterClient(options=client_options)

image_base64 = "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgc…wwzqR4U/yZ//Z"

image_bytes = base64.b64decode(image_base64)

image_to_text_request = ImageToTextRequest(
    image_bytes=image_bytes,
    module_name=None,  # Optional, can specify a module name if needed
    threshold=50,      # Optional, set a threshold value between 1 and 100
    case=True,         # Optional, specify whether case sensitivity is required
    numeric=0,         # Optional, set numeric flag (0 or 1)
    math=False         # Optional, specify whether math operations are involved
)

async def solve_captcha():
    return await cap_monster_client.solve_captcha(image_to_text_request)

responses = asyncio.run(solve_captcha())
print(responses)

C#

// https://github.com/ZennoLab/capmonstercloud-client-dotnet

using Zennolab.CapMonsterCloud.Requests;
using Zennolab.CapMonsterCloud;

class Program
{
    static async Task Main(string[] args)
    {
        var clientOptions = new ClientOptions
        {
            ClientKey = "your_api_key" // Replace with your CapMonster Cloud API key
        };

        var cmCloudClient = CapMonsterCloudClientFactory.Create(clientOptions);

        var imageToTextRequest = new ImageToTextRequest
        {
            Body = "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMj", // Base64 encoded image
            CapMonsterModule = "None",  // Optional, can specify a module name if needed
            RecognizingThreshold = 70, // Optional, set a threshold value between 1 and 100
            CaseSensitive = true, // Optional, specify whether case sensitivity is required
            Numeric = false, 
            Math = false
        };

        var imageToTextResult = await cmCloudClient.SolveAsync(imageToTextRequest);

        Console.WriteLine("Captcha Solved: " + imageToTextResult.Solution.Value);
    }
}