AI4CAP.COM
OCR CAPTCHA SPECIALIST

Image CAPTCHA Solver - OCR Technology

Solve traditional text-based image CAPTCHAs with advanced OCR and AI. Handle distorted text, mathematical equations, and complex backgrounds with 99.2% accuracy. Perfect for legacy systems and custom CAPTCHAs.

What are Image CAPTCHAs?

Image CAPTCHAs are the traditional form of CAPTCHA that display distorted text, numbers, or simple math problems as images. Users must correctly identify and type the characters they see. While newer CAPTCHA types have emerged, image CAPTCHAs remain widely used, especially on older websites and custom implementations.

🔤

Text Recognition

Distorted letters & numbers

🧮

Math Problems

Simple calculations

🎨

Complex Backgrounds

Noise & patterns

All Image CAPTCHA Types Supported

🔤

Distorted Text

99.2%3-5s

Classic wavy, rotated text with noise

Math Equations

99.8%2-3s

Simple arithmetic problems as images

🔢

Alphanumeric Mix

98.7%3-6s

Letters and numbers with background patterns

🔡

Case Sensitive

97.9%4-6s

Uppercase/lowercase distinction required

🎨

Colored Text

96.5%5-8s

Multi-colored characters on complex backgrounds

✍️

Handwritten Style

95.8%6-10s

Simulated handwriting fonts

Advanced OCR Technology Stack

Pre-Processing Pipeline

  • Noise Reduction: Remove background interference
  • Image Enhancement: Sharpen and clarify text
  • Rotation Correction: Straighten tilted text
  • Segmentation: Separate individual characters

AI Recognition Engine

  • Multi-Model Ensemble: Combine multiple OCR models
  • Context Analysis: Use language models for validation
  • Confidence Scoring: Ensure high accuracy
  • Continuous Learning: Improve from new samples

Simple Integration Examples

import base64 from ai4cap import AI4CAPClient client = AI4CAPClient('your-api-key') # Method 1: From file with open('captcha.png', 'rb') as f: image_base64 = base64.b64encode(f.read()).decode() solution = client.solve_image_captcha( image=image_base64, case_sensitive=True, # Optional: for case-sensitive CAPTCHAs min_length=4, # Optional: minimum text length max_length=8, # Optional: maximum text length numeric_only=False, # Optional: numbers only alpha_only=False, # Optional: letters only language="en" # Optional: language hint ) print(f"Solved text: {solution['text']}") # Method 2: From URL solution = client.solve_image_captcha_url( image_url="https://example.com/captcha.jpg", case_sensitive=False )

Advanced Features for Complex CAPTCHAs

Language Support

Recognize text in multiple languages and character sets:

English (Latin)Cyrillic (Russian)Chinese CharactersArabic ScriptMixed Languages

Smart Filtering

Specify constraints for more accurate results:

  • • Length restrictions (min/max)
  • • Character type (numeric/alpha)
  • • Case sensitivity options
  • • Custom character sets
  • • Pattern matching

Error Handling

Robust solutions for challenging CAPTCHAs:

  • • Multi-pass recognition
  • • Confidence thresholds
  • • Alternative solutions
  • • Automatic retries
  • • Manual review option

Common Use Cases

Legacy System Integration

Many older websites and applications still use traditional image CAPTCHAs. Our OCR technology ensures compatibility with:

  • • Government portals
  • • Banking systems
  • • Educational platforms
  • • Legacy forums

Custom CAPTCHA Solutions

Perfect for websites with custom-built CAPTCHA systems that don't use standard providers:

  • • In-house CAPTCHA generators
  • • Modified open-source CAPTCHAs
  • • Regional CAPTCHA variants
  • • Industry-specific systems

Image CAPTCHA vs Modern Alternatives

45%

of websites still use image CAPTCHAs

3-5s

average solving time with AI4CAP

$0.01

lowest cost per solve

Simple, Affordable Pricing

$0.01

per image CAPTCHA solved


Standard text CAPTCHAs

$0.01

Math equations

$0.01

Complex/handwritten

$0.015

Multi-language

$0.015

Start Solving Image CAPTCHAs Today

Whether you're dealing with legacy systems or custom CAPTCHAs, AI4CAP.COM has the OCR technology to handle them all.

99.2% accuracy • 3-5s solve time • All languages supported