A dual-mode CAPTCHA recognition tool utilizing local Tesseract OCR and high-success third-party API providers.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install captcha-solver
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install captcha-solver using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Captcha Solver?
The Captcha Solver is a specialized component within the Openclaw Skills ecosystem designed to bridge the gap between automation and site security measures. It provides developers with a hybrid approach: using lightweight local OCR for simple text and math puzzles while seamlessly integrating with high-success-rate services like 2Captcha and Anti-Captcha for complex challenges like reCAPTCHA v3 or Cloudflare Turnstile. This ensures high availability and cost-efficiency for large-scale automation projects.
By leveraging advanced image preprocessing and multiple recognition engines, this skill allows agents to bypass obstacles that typically halt automated scripts. It is a vital addition to any toolkit focusing on robust web navigation and data collection using Openclaw Skills.
Captcha Solver Use Cases
- Bypassing bot detection systems during automated web data extraction.
- Solving slider-based verification using edge detection and gap localization.
- Automating form submissions on pages protected by hCaptcha or reCAPTCHA.
- Processing simple text or numeric images locally to reduce API costs.
- Handling math-based verification challenges in real-time.
How Captcha Solver Works
- The automation engine detects a CAPTCHA and captures the necessary parameters, such as a local image file or a site key and URL.
- Local image preprocessing techniques like grayscale conversion, binarization, and denoising are applied to improve OCR accuracy.
- The skill attempts a local solution using Tesseract or template matching for basic numeric and text types.
- For advanced puzzles like reCAPTCHA or Turnstile, the skill routes the request to third-party solver APIs.
- The resulting solution token or text string is returned to the main agent to complete the verification challenge.
Captcha Solver Setup
To begin using this skill within Openclaw Skills, ensure Tesseract is installed and configured on your system path:
# Example for Ubuntu systems
sudo apt-get install tesseract-ocr
Configure your environment keys for premium services if you require advanced puzzle solving:
# Configure API keys in your settings
API_2CAPTCHA = "your_api_key"
API_ANTI_CAPTCHA = "your_api_key"
Run a test solve via the CLI:
python solve.py --image captcha.png
Captcha Solver Data Schema & Taxonomy
The skill organizes input and output data based on the verification type to ensure Openclaw Skills can process them efficiently:
| Attribute | Description |
|---|---|
| Input Type | Defines whether the source is a local image, a site key, or a slider background. |
| Image Metadata | Contains binarization and denoising settings used for local OCR tuning. |
| Solution Token | The valid verification string or hash returned by API services. |
| Slider Offset | A numerical value representing the distance to move a slider gap. |
| Trajectory Data | Generated movement coordinates to simulate human-like behavior. |
Captcha Solver Advanced Features
- Intelligent fallback logic that automatically switches from local OCR to paid API services if confidence scores are low.
- Human-like trajectory generation for slider CAPTCHAs to evade behavioral detection.
- Multi-language support for Tesseract OCR including English and Simplified Chinese.
- Comprehensive support for modern protocols like Cloudflare Turnstile and hCaptcha.
SKILL.md
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