如何快速解决验证码图像问题 | 最佳图像（OCR）验证码解决工具

# -*- coding: utf-8 -*-
import requests


api_key = "YOUR_API_KEY"
task_type = "ImageToTextTask"
module_type = "queueit" # ocr 单张图片模型,

def ocr(b64img):
    print("调用 capsolver...")
    data = {
       "clientKey": api_key,
       "task": {
            "type": task_type,
            "module": module_type,  
            "body": b64img
       }
    }
    uri = 'https://api.capsolver.com/createTask'
    res = requests.post(uri, json=data)
    resp = res.json()
    status = resp.get('status', '')
    if status == "ready":
        solution = resp.get('solution')
        print("成功获取解决方案:", solution)
        return solution
    else:
        print("获取结果失败:", res.text)
        return

def main():
    b64img = 'iVBORw0KGgoAAAANSU******************'
    result = ocr(b64img)


if __name__ == '__main__':
    main()

import capsolver

capsolver.api_key = "YOUR_API_KEY"
solution = capsolver.solve({
    "type": "ImageToTextTask",
    "module": "queueit",
    "body": "/9j/4AAQSkZJRgABA......"
})
print(solution)

package main

import (
    "fmt"
    capsolver_go "github.com/capsolver/capsolver-go"
    "log"
)

func main() {
    // 首先你需要安装 SDK
    //go get github.com/capsolver/capsolver-go
    //export CAPSOLVER_API_KEY='...' 或者
    //capSolver := CapSolver{ApiKey:"..."}

    capSolver := capsolver_go.CapSolver{}
    solution, err := capSolver.Solve(map[string]interface{}{
        "type":   "ImageToTextTask",
        "module": "queueit",
        "body":   "/9j/4AAQSkZJRgABA......",
    })
    if err != nil {
        log.Fatal(err)
        return
    }
    fmt.Println(solution)
}