Сервис распознавания текстовой капчи (Text captcha)

// 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));
});

# 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)

// 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);
    }
}