How to Solve Number captcha Automatically

[CAPTCHAFORUM]

https://2captcha.com/p/number-captcha-solver

Number captcha is a type of captcha that requires users to enter a sequence of numbers displayed in an image. These captchas are used to prevent automated bots from submitting forms or performing repetitive actions on websites. In this guide, we will explore different methods to solve number captchas programmatically, including using Optical Character Recognition (OCR) and third-party captcha-solving services like 2captcha.

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1. Understanding Number captcha​

Number captchas typically appear in two forms:

1. Plain text numbers - Simple digits displayed in an image, sometimes with slight distortions.
2. Obfuscated numbers - Digits that are distorted, rotated, or placed on a noisy background to make automated recognition harder.

Unlike recaptcha, number captchas require text extraction rather than token submission.

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2. Methods for Solving Number captcha​

There are two primary approaches for solving number captchas:

a) Using OCR (Optical Character Recognition)​

OCR technology allows us to extract text from images using machine learning models such as Tesseract OCR.

b) Using a captcha-Solving Service​

Services like 2captcha use human workers to solve captchas and return the extracted text.

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3. Solving Number captcha Using Tesseract OCR​

Tesseract is an open-source OCR engine that can recognize text from images. Let’s implement a solution using Python and the pytesseract library.

Install Dependencies​

First, install the necessary dependencies:

pip install pytesseract opencv-python

Code to Extract Numbers from captcha Image​

import cv2
import pytesseract

def solve_captcha(image_path):
image = cv2.imread(image_path)
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
text = pytesseract.image_to_string(gray, config='--psm 6')
extracted_numbers = ''.join(filter(str.isdigit, text))
print('Extracted captcha:', extracted_numbers)
return extracted_numbers

solve_captcha('captcha.png')

Explanation:​

1. Tesseract OCR extracts text from an image.
2. Image preprocessing improves recognition accuracy.
3. Filtering extracts only numeric values from the result.

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4. Solving Number captcha Using 2captcha API​

For more complex captchas, using an external captcha-solving service like 2captcha is more effective.

Step 1: Get a 2captcha API Key​

• Sign up at 2captcha.
• Copy your API key from the dashboard.

Step 2: Send the captcha Image to 2captcha​

import requests

API_KEY = 'your_2captcha_api_key'
CAPTCHA_FILE = 'captcha.png'

with open(CAPTCHA_FILE, 'rb') as file:
response = requests.post('http://2captcha.com/in.php', files={'file': file}, data={'key': API_KEY, 'method': 'post'})
captcha_id = response.text.split('|')[1]

print('captcha uploaded. Waiting for solution...')

while True:
result = requests.get(f'http://2captcha.com/res.php?key={API_KEY}&action=get&id={captcha_id}')
if 'OK' in result.text:
print('Solved captcha:', result.text.split('|')[1])
break

Explanation:​

1. Upload the captcha image to 2captcha.
2. Wait for the solution (10–30 seconds).
3. Retrieve the solved text and use it for form submission.

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By using 2captcha, we can efficiently solve number captchas. For simple captchas, OCR works well, but for complex ones, an external service is more reliable. If you’re automating web interactions, combining Selenium with captcha-solving techniques will make your bot much more effective.

Always ensure that your automation complies with legal and ethical guidelines to prevent misuse.