A robust OCR utility that extracts Chinese and English text from images using the Tesseract engine for AI-driven workflows.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install image-ocr-reader
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 image-ocr-reader 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 Image OCR Reader?
The Image OCR Reader is a specialized tool designed to convert visual information into machine-readable text. By leveraging the industry-standard Tesseract OCR engine, it enables developers and AI agents to process image files including JPG, PNG, and JPEG formats with high accuracy. This skill is particularly effective for multi-lingual environments, offering seamless recognition of both Chinese and English characters.
As part of the Openclaw Skills ecosystem, this component acts as a bridge between unstructured image data and structured text processing. Whether you are digitizing archives or building a pipeline for automated document analysis, this skill provides the reliability and speed required for modern AI applications.
Image OCR Reader Use Cases
- Digitizing printed documents or screenshots into editable text formats.
- Automating data extraction from invoices, receipts, and business cards.
- Enhancing searchability of image-based archives by generating text metadata.
- Processing mixed-language visual content for translation or summarization via Openclaw Skills.
How Image OCR Reader Works
- The user provides a path to a supported image file (JPG, PNG, or JPEG) through the CLI or Python API.
- The skill utilizes the Pillow library to preprocess the image for optimal character recognition.
- The Tesseract OCR engine analyzes the image structure to identify and extract text in Chinese and English.
- The processed text is returned as a string, ready for use in subsequent AI or development tasks.
Image OCR Reader Setup
1. Install System Dependencies
# Ubuntu/Debian
sudo apt-get install tesseract-ocr
# macOS
brew install tesseract
# CentOS/RHEL
sudo yum install tesseract
2. Install Python Dependencies
pip install pytesseract Pillow
Image OCR Reader Data Schema & Taxonomy
The Image OCR Reader processes image files and outputs raw text data. Below is the input and output structure:
| Attribute | Description |
|---|---|
| Supported Formats | .jpg, .jpeg, .png |
| Primary Output | UTF-8 encoded string of recognized text |
| Language Support | English (eng), Chinese Simplified (chi_sim) |
| Dependencies | Python 3.x, Tesseract-OCR Engine |
Image OCR Reader Advanced Features
- Supports mixed-language detection allowing for simultaneous Chinese and English recognition.
- Offers a flexible dual-interface with both a CLI for quick tasks and a Python API for deep integration.
- Built on an open-source foundation (MIT License) for easy modification and scaling within Openclaw Skills.
- Lightweight architecture designed for low-latency processing in automated AI agent environments.
SKILL.md
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