Image to Text
0This skill utilizes Tesseract.js to extract all readable text from images, providing full text content along with word-level bounding boxes and confidence scores. It's designed for users needing to convert visual text from images into editable text formats.
000Updated 3w ago
Image Processing
Quick InstallView Source
$ npx skills add https://github.com/pascalorg/skills --skill image-to-textOverview
About This Skill
Image to Text is an OCR skill powered by Tesseract.js that extracts all readable text from images and returns structured data including full text content, word-level bounding boxes, and confidence scores. It works by segmenting images into lines and words, making it ideal for reading screenshots, extracting UI copy from design mockups, and obtaining precise text positioning information. The skill supports multiple languages and provides confidence metrics to help assess extraction accuracy. Common use cases include converting design mockups to editable text without manual retyping, extracting UI labels and button text, and analyzing text layout and positioning in images.
How to Use
Install using the command line with the provided install command.
Use Cases
Reading text content from screenshots or design mockups
Extracting UI copy including labels and buttons
Getting text positions and bounding boxes from design images
Tags
Setup & Installation
Quick Install
Terminal
$ npx skills add https://github.com/pascalorg/skills --skill image-to-textAlternative Install (Git Clone)
git clone https://github.com/pascalorg/skillsRequirements
- Claude Code or compatible AI agent
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
📝
No Examples Available
Check the GitHub repository or documentation for usage examples.
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