Screenshot History Web App

Screenshot History is a browser-based, offline-capable web application designed to capture, process, and summarize desktop screenshots. It provides a searchable, Google Photos–style interface for managing screenshots and summaries, all while keeping data local for privacy.

Features

• Continuous Screen Capture: Automatically captures screenshots at user-defined intervals.
• Pixel Difference Check: Saves screenshots only if significant changes are detected.
• OCR Integration: Extracts text from screenshots using Tesseract.js.
• AI Summarization: Generates summaries of user activity using LangChain with support for OpenAI, Google Gemini, Anthropic Claude, and local models.
• Searchable History: Enables keyword-based search through OCR text and summaries.
• Data Retention: Automatically deletes old screenshots and summaries after a user-defined period (default: 90 days).
• Offline Support: Works offline with IndexedDB and the File System Access API.
• User-Friendly Interface: Dark mode, daily grouping, infinite scroll, and customizable settings.

Technologies Used

• Frontend: HTML, Tailwind CSS, and vanilla JavaScript.
• OCR: Tesseract.js (WebAssembly).
• AI Summarization: LangChain with multiple model providers.
• Storage: IndexedDB via Dexie.js.
• File Management: File System Access API.
• Offline Support: Service Worker and PWA capabilities.

Usage

1. Access the App:
   • Open https://cs-util-com.github.io/ScreenshotHistoryJs/ in your browser.
2. Select a Folder:
   • Click the "Select Folder" button to choose a directory for storing screenshots and database files.
3. Start Capturing:
   • Click the "Start Capture" button to begin capturing screenshots at regular intervals.
4. Search and Summarize:
   • Use the search bar to find screenshots or summaries by keywords.
   • Summaries are generated every 30 minutes from OCR text.
5. Adjust Settings:
   • Open the settings modal to customize image quality, diff threshold, retention period, OCR language, resolution, and AI model provider/API keys.
6. Offline Usage:
   • Once loaded, the app works offline using locally stored screenshots and data.

AI Integration

• Supported Models:

  • OpenAI (e.g., GPT-3.5 Turbo).
  • Google Gemini.
  • Anthropic Claude.
  • Local models (e.g., LLaMA).

• Configuration:

  • Set API keys and model preferences in the settings modal.

Disclaimer

This project is provided as-is. It is a general-purpose tool and does not include domain-specific functionality. Use and modify as needed.

License

This project is licensed under the GNU General Public License v3.0. See the LICENSE file for details.