image-ocr

Extract text from images and scanned documents into plain text.

602|121|Updated Feb 10, 2026
One-click install
npx skills add https://github.com/AIDotNet/OpenCowork --skill image-ocr-aidotnet
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: image-ocr
Source: https://github.com/AIDotNet/OpenCowork/tree/main/resources/skills/image-ocr
Command: npx skills add https://github.com/AIDotNet/OpenCowork --skill image-ocr-aidotnet

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pytesseract, Pillow, and includes scripts (resource) components.

What problem does it solve?

It removes the manual effort of reading and retyping text from screenshots, photos, scanned pages, and other text-heavy images.

Core Features & Use Cases

  • OCR Extraction: Reads text from PNG, JPEG, TIFF, BMP, and WebP images.
  • Preprocessing Options: Improves recognition with grayscale, thresholding, and blur filters for noisy or low-quality images.
  • Flexible Text Capture: Supports different languages, page segmentation modes, and saving extracted output to a file.
  • Use Case: A user can convert a photographed document or screenshot into editable text for notes, search, or downstream processing.

Quick Start

Use the image-ocr skill to extract text from the attached image and save the result to a text file if needed.

Frequently Asked Questions about image-ocr

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract text from a screenshot or photo of a document?

To extract text from a screenshot or photo, you can use image OCR to read text from PNG, JPEG, and TIFF images. The skill processes the image and returns the text as plain output, which you can save to a file for downstream processing.

Do I need to install Tesseract OCR engine locally to use this image text extraction?

Yes, you need a locally installed Tesseract OCR engine along with Python 3, pytesseract, and Pillow. These dependencies are required to run the image text extraction process successfully on your machine.

Can I improve OCR accuracy on noisy or low-quality images?

Yes, you can improve OCR accuracy on low-quality images by applying preprocessing options. The skill supports grayscale conversion, thresholding, and blur filters to clean up noisy images before extracting the text.

Does this OCR tool work with mixed-language images and receipts?

Yes, this OCR tool works with mixed-language images, scanned pages, and receipts. It supports different languages and page segmentation modes to accurately capture text from various document types.

What image formats are supported for converting images to editable text?

Supported image formats for converting images to editable text include PNG, JPEG, TIFF, BMP, and WebP. You can process screenshots or photographed pages in these formats and output the extracted text to a file.