A high-performance OCR tool utilizing the Tesseract engine to convert images into plain text, structured data, or Q&A formats.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install tesseract-ocr-skill
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 tesseract-ocr-skill 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 Tesseract OCR Skill?
The Tesseract OCR Skill is a robust optical character recognition utility designed for the Openclaw Skills ecosystem. It leverages the industry-standard Tesseract engine to accurately identify and extract text from image files. Whether you are dealing with scanned documents, screenshots, or educational materials, this skill provides a bridge between visual data and machine-readable text.
What sets this skill apart is its multi-language support and specialized output modes. It is optimized for Chinese (Simplified), English, and mixed-language environments, ensuring high fidelity for global users. By integrating this into your AI agent's workflow, you enable sophisticated document processing and automated data entry capabilities.
Tesseract OCR Skill Use Cases
- Digitizing physical documents or handwritten notes for archival.
- Extracting exam questions and answers from educational images into structured formats.
- Automating data entry by converting screenshots of reports into machine-readable text.
- Enabling AI agents to 'read' and interpret visual assets during automated workflows.
How Tesseract OCR Skill Works
- The skill receives an image file path and optional parameters for language and output format.
- The image is pre-processed using the Pillow library to optimize it for character recognition.
- The Tesseract engine analyzes the visual patterns to identify characters based on the specified language libraries (chi_sim, eng, or both).
- Post-processing logic parses the raw OCR results into the requested format (plain text, structured data, or Q&A).
- The final result is either printed to the console or saved to a designated output file.
Tesseract OCR Skill Setup
First, ensure you have the Tesseract OCR engine installed on your system. For Windows users, download the installer from the UB-Mannheim repository. Then, install the Python dependencies:
pip install pytesseract Pillow
To run the skill, use the following command structure:
python tesseract_ocr_skill.py <image_path> --lang chi_sim+eng --format text
Tesseract OCR Skill Data Schema & Taxonomy
The skill processes image inputs and generates text-based outputs. The output structure varies based on the --format flag:
| Format | Output Description |
|---|---|
| text | Returns raw, unformatted text extracted from the image. |
| structured | Organizes content into identified headers, options, and answers. |
| question_answer | Formats the output specifically for Q&A pairs, ideal for training datasets. |
Metadata such as language selection (--lang) allows for the simultaneous use of multiple training data files (e.g., chi_sim+eng).
Tesseract OCR Skill Advanced Features
- Multi-language support allowing concurrent recognition of Simplified Chinese and English.
- Three distinct output modes (text, structured, question_answer) to support different downstream AI tasks.
- Configurable output paths for seamless integration into automated file processing pipelines within Openclaw Skills.
- Extensible architecture allowing for the addition of more Tesseract language packs.
SKILL.md
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