💡 webclaw | Rust
🎯 Primary Use Case:
To provide AI agents with clean, structured, and token-efficient web content extracted directly from URLs, bypassing common scraping obstacles.
✨ Key Features:
• Fast, local-first web content extraction
• Optimized output for LLMs (67% fewer tokens)
• Sub-millisecond extraction speed
• Zero browser overhead
• Chrome-level TLS fingerprinting
📖 Summary:
Webclaw is a high-performance web scraping tool written in Rust, designed for AI agents. It efficiently extracts structured data from web pages, optimizing content for LLM consumption by reducing token count and removing unnecessary elements, all without requiring a headless browser.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To provide AI agents with clean, structured, and token-efficient web content extracted directly from URLs, bypassing common scraping obstacles.
✨ Key Features:
• Fast, local-first web content extraction
• Optimized output for LLMs (67% fewer tokens)
• Sub-millisecond extraction speed
• Zero browser overhead
• Chrome-level TLS fingerprinting
📖 Summary:
Webclaw is a high-performance web scraping tool written in Rust, designed for AI agents. It efficiently extracts structured data from web pages, optimizing content for LLM consumption by reducing token count and removing unnecessary elements, all without requiring a headless browser.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🚀 netscanner | Rust
🎯 Primary Use Case:
Network scanning and diagnostics from the terminal with a modern TUI.
✨ Key Features:
• List HW Interfaces
• Switching active Interface
• WiFi networks scanning
• WiFi signals strength (with charts)
• IPv4 Pinging CIDR
📖 Summary:
Netscanner is a Rust-based terminal network scanner and diagnostic tool that provides a modern TUI for analyzing network interfaces, scanning WiFi networks, and performing packet dumping and port scanning. It allows users to switch active interfaces, monitor WiFi signal strength, ping IPv4 CIDRs, and filter packet logs.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Network scanning and diagnostics from the terminal with a modern TUI.
✨ Key Features:
• List HW Interfaces
• Switching active Interface
• WiFi networks scanning
• WiFi signals strength (with charts)
• IPv4 Pinging CIDR
📖 Summary:
Netscanner is a Rust-based terminal network scanner and diagnostic tool that provides a modern TUI for analyzing network interfaces, scanning WiFi networks, and performing packet dumping and port scanning. It allows users to switch active interfaces, monitor WiFi signal strength, ping IPv4 CIDRs, and filter packet logs.
🔗 Links:
• View Project
================
🔓 Open Source
💡 inksight | Jupyter Notebook
🎯 Primary Use Case:
Digitizing physical handwritten notes into searchable and editable digital formats.
✨ Key Features:
• Offline-to-online handwriting conversion from photos
• Multi-language support
• Robust background handling
• Word-level and full-page text processing
• Vector-based digital ink output
📖 Summary:
InkSight is a system that converts photos of handwritten text into editable digital ink. It uses a Vision Transformer and mT5 architecture to process diverse handwriting styles and backgrounds, supporting both word-level and full-page conversion for practical digitization.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Digitizing physical handwritten notes into searchable and editable digital formats.
✨ Key Features:
• Offline-to-online handwriting conversion from photos
• Multi-language support
• Robust background handling
• Word-level and full-page text processing
• Vector-based digital ink output
📖 Summary:
InkSight is a system that converts photos of handwritten text into editable digital ink. It uses a Vision Transformer and mT5 architecture to process diverse handwriting styles and backgrounds, supporting both word-level and full-page conversion for practical digitization.
🔗 Links:
• View Project
================
🔓 Open Source
🚀 clawfeed | HTML
🎯 Primary Use Case:
To provide users with concise, AI-generated summaries of news and information from a wide range of online sources, reducing information overload.
✨ Key Features:
• Multi-frequency digests (4-hourly, daily, weekly, monthly)
• Supports various sources: Twitter, RSS, HackerNews, Reddit, GitHub Trending
• Source Packs for sharing curated source bundles
📖 Summary:
ClawFeed is an AI-powered news digest service that aggregates content from various sources like Twitter and RSS feeds. It provides structured summaries at different frequencies and features a web dashboard for management and analysis, with options for standalone use or integration as a skill within other platforms.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To provide users with concise, AI-generated summaries of news and information from a wide range of online sources, reducing information overload.
✨ Key Features:
• Multi-frequency digests (4-hourly, daily, weekly, monthly)
• Supports various sources: Twitter, RSS, HackerNews, Reddit, GitHub Trending
• Source Packs for sharing curated source bundles
📖 Summary:
ClawFeed is an AI-powered news digest service that aggregates content from various sources like Twitter and RSS feeds. It provides structured summaries at different frequencies and features a web dashboard for management and analysis, with options for standalone use or integration as a skill within other platforms.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🚀 escrcpy | JavaScript
🎯 Primary Use Case:
Displaying and controlling Android devices graphically on a desktop, enabling automation and multi-device management.
✨ Key Features:
• Intelligent Control with natural-language commands
• Automation and parallel operations across multiple devices
• Multi-device visual window orchestration
• Wireless connections with Gnirehtet reverse tethering
📖 Summary:
Escrcpy is a JavaScript-based application that provides graphical display and control of Android devices on a desktop. It leverages the scrcpy core for high-performance mirroring and integrates features like natural-language commands, multi-device management, and wireless connectivity.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Displaying and controlling Android devices graphically on a desktop, enabling automation and multi-device management.
✨ Key Features:
• Intelligent Control with natural-language commands
• Automation and parallel operations across multiple devices
• Multi-device visual window orchestration
• Wireless connections with Gnirehtet reverse tethering
📖 Summary:
Escrcpy is a JavaScript-based application that provides graphical display and control of Android devices on a desktop. It leverages the scrcpy core for high-performance mirroring and integrates features like natural-language commands, multi-device management, and wireless connectivity.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🔥 YTSage | Python
🎯 Primary Use Case:
Downloading YouTube videos and audio through a graphical user interface.
✨ Key Features:
• Clean PySide6 interface
• Download videos in any quality
• Extract audio
• Fetch subtitles
• SponsorBlock integration
📖 Summary:
YTSage is a modern, user-friendly YouTube downloader application built with PySide6. It leverages the power of yt-dlp to provide a clean graphical interface for downloading videos in various qualities, extracting audio, fetching subtitles, and integrating with SponsorBlock.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Downloading YouTube videos and audio through a graphical user interface.
✨ Key Features:
• Clean PySide6 interface
• Download videos in any quality
• Extract audio
• Fetch subtitles
• SponsorBlock integration
📖 Summary:
YTSage is a modern, user-friendly YouTube downloader application built with PySide6. It leverages the power of yt-dlp to provide a clean graphical interface for downloading videos in various qualities, extracting audio, fetching subtitles, and integrating with SponsorBlock.
🔗 Links:
• View Project
================
🔓 Open Source
✨ theHarvester | Python
🎯 Primary Use Case:
Gathering open-source intelligence (OSINT) for domain reconnaissance during security assessments.
✨ Key Features:
• Open Source Intelligence (OSINT) gathering
• Reconnaissance for red team assessments and penetration tests
• Gathers names, emails, IPs, subdomains, and URLs
• Utilizes multiple public resources and passive modules
• Supports Python 3.12+
📖 Summary:
theHarvester is a Python-based OSINT tool designed for the reconnaissance phase of security assessments. It efficiently gathers emails, subdomains, hostnames, and other external information related to a domain by querying numerous public data sources.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Gathering open-source intelligence (OSINT) for domain reconnaissance during security assessments.
✨ Key Features:
• Open Source Intelligence (OSINT) gathering
• Reconnaissance for red team assessments and penetration tests
• Gathers names, emails, IPs, subdomains, and URLs
• Utilizes multiple public resources and passive modules
• Supports Python 3.12+
📖 Summary:
theHarvester is a Python-based OSINT tool designed for the reconnaissance phase of security assessments. It efficiently gathers emails, subdomains, hostnames, and other external information related to a domain by querying numerous public data sources.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🚀 openclaw-android | Java
🎯 Primary Use Case:
Enabling users to run OpenClaw and other Linux binaries on Android devices with minimal resource consumption and simplified setup.
✨ Key Features:
• Run OpenClaw on Android without proot-distro
• Minimal storage overhead (~200MB)
• Fast setup time (3-10 minutes)
• Native performance
• Standalone Android app with integrated UI and terminal
📖 Summary:
OpenClaw on Android allows users to run OpenClaw, a powerful tool, directly on their Android devices without the need for a full Linux distribution like proot-distro. It achieves this by installing only the necessary glibc dynamic linker, significantly reducing storage overhead and setup time while offering native performance.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Enabling users to run OpenClaw and other Linux binaries on Android devices with minimal resource consumption and simplified setup.
✨ Key Features:
• Run OpenClaw on Android without proot-distro
• Minimal storage overhead (~200MB)
• Fast setup time (3-10 minutes)
• Native performance
• Standalone Android app with integrated UI and terminal
📖 Summary:
OpenClaw on Android allows users to run OpenClaw, a powerful tool, directly on their Android devices without the need for a full Linux distribution like proot-distro. It achieves this by installing only the necessary glibc dynamic linker, significantly reducing storage overhead and setup time while offering native performance.
🔗 Links:
• View Project
================
🔓 Open Source
🚀 OpenSpace | Python
🎯 Primary Use Case:
To enhance existing AI agents by enabling them to learn, adapt, and evolve from experience, leading to improved performance, reduced costs, and shared intelligence across a network of agents.
✨ Key Features:
• Self-Evolution (AUTO-FIX, AUTO-IMPROVE, AUTO-LEARN, Quality monitoring)
• Collective Agent Intelligence (Shared evolution, Network effects, Easy sharing, Access control)
📖 Summary:
OpenSpace is a self-evolving engine designed to make AI agents smarter, more cost-efficient, and capable of learning from real-world experience. It enhances existing agents by providing them with self-evolutionary skills, enabling them to automatically fix, improve, and learn from usage, while also facilitating collective intelligence through skill sharing among agents.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
To enhance existing AI agents by enabling them to learn, adapt, and evolve from experience, leading to improved performance, reduced costs, and shared intelligence across a network of agents.
✨ Key Features:
• Self-Evolution (AUTO-FIX, AUTO-IMPROVE, AUTO-LEARN, Quality monitoring)
• Collective Agent Intelligence (Shared evolution, Network effects, Easy sharing, Access control)
📖 Summary:
OpenSpace is a self-evolving engine designed to make AI agents smarter, more cost-efficient, and capable of learning from real-world experience. It enhances existing agents by providing them with self-evolutionary skills, enabling them to automatically fix, improve, and learn from usage, while also facilitating collective intelligence through skill sharing among agents.
🔗 Links:
• View Project
================
🔓 Open Source
💡 OSS-DocumentScanner | C++
🎯 Primary Use Case:
To provide users with a powerful and open-source mobile application for digitizing physical documents and extracting text from them.
✨ Key Features:
• Document scanning with edge detection and perspective correction
• Optical Character Recognition (OCR) using Tesseract
• Barcode scanning using ZXing C++
• PDF generation from scanned documents
• Image processing for document enhancement
📖 Summary:
This repository hosts two open-source applications: OSS Document Scanner, an Android app for scanning documents, and Oss CardWallet, an app for managing digital cards. Both apps leverage advanced image processing and OCR technologies.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To provide users with a powerful and open-source mobile application for digitizing physical documents and extracting text from them.
✨ Key Features:
• Document scanning with edge detection and perspective correction
• Optical Character Recognition (OCR) using Tesseract
• Barcode scanning using ZXing C++
• PDF generation from scanned documents
• Image processing for document enhancement
📖 Summary:
This repository hosts two open-source applications: OSS Document Scanner, an Android app for scanning documents, and Oss CardWallet, an app for managing digital cards. Both apps leverage advanced image processing and OCR technologies.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🔥 Raven | Swift
🎯 Primary Use Case:
Enabling users to interact with and gain insights from their documents through a local, private AI assistant on macOS and iOS.
✨ Key Features:
• Text extraction from images, PDFs, audio, and video files
• Audio transcription and video text extraction
• Smart Q&A and contextual content analysis
• Local AI processing using Apple Foundation Models
• Project creation and file organization
📖 Summary:
Raven is a privacy-focused document chat application for macOS and iOS that allows users to upload files and ask questions, with all processing performed locally on the device using Apple Foundation Models. It extracts text from various file types, transcribes audio, and provides contextual answers and summaries without requiring internet connectivity.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Enabling users to interact with and gain insights from their documents through a local, private AI assistant on macOS and iOS.
✨ Key Features:
• Text extraction from images, PDFs, audio, and video files
• Audio transcription and video text extraction
• Smart Q&A and contextual content analysis
• Local AI processing using Apple Foundation Models
• Project creation and file organization
📖 Summary:
Raven is a privacy-focused document chat application for macOS and iOS that allows users to upload files and ask questions, with all processing performed locally on the device using Apple Foundation Models. It extracts text from various file types, transcribes audio, and provides contextual answers and summaries without requiring internet connectivity.
🔗 Links:
• View Project
================
🔓 Open Source
🔥 polyterm | Python
🎯 Primary Use Case:
To provide users with advanced, real-time analytics and monitoring capabilities for Polymarket prediction markets directly within their terminal environment.
✨ Key Features:
• Terminal-based monitoring and analytics for Polymarket
• 20+ advanced analytics features (whale tracking, insider detection, arbitrage scanning, signal-based predictions, wash trade detection, UMA dispute risk analysis, market risk grading)
📖 Summary:
PolyTerm is a powerful, terminal-based monitoring and analytics tool for Polymarket prediction markets. It provides advanced features for tracking market shifts, whale activity, insider patterns, arbitrage opportunities, and signal-based predictions directly from the command line.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
To provide users with advanced, real-time analytics and monitoring capabilities for Polymarket prediction markets directly within their terminal environment.
✨ Key Features:
• Terminal-based monitoring and analytics for Polymarket
• 20+ advanced analytics features (whale tracking, insider detection, arbitrage scanning, signal-based predictions, wash trade detection, UMA dispute risk analysis, market risk grading)
📖 Summary:
PolyTerm is a powerful, terminal-based monitoring and analytics tool for Polymarket prediction markets. It provides advanced features for tracking market shifts, whale activity, insider patterns, arbitrage opportunities, and signal-based predictions directly from the command line.
🔗 Links:
• View Project
================
🔓 Open Source
🔥 SpreadPaper | Swift
🎯 Primary Use Case:
To allow users to set a single, high-resolution image as a wallpaper that spans across multiple monitors on macOS, providing a unified and visually appealing desktop background.
✨ Key Features:
• Visual Positioning
• Live Preview
• Flip & Scale
• Save Presets
• Multi-Monitor Smart Detection
📖 Summary:
SpreadPaper is a native macOS application designed to seamlessly spread a single high-resolution wallpaper across multiple connected monitors. It offers a user-friendly interface for positioning, scaling, and flipping images to create a cohesive desktop aesthetic, overcoming the limitations of macOS's default wallpaper handling for multi-display setups.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To allow users to set a single, high-resolution image as a wallpaper that spans across multiple monitors on macOS, providing a unified and visually appealing desktop background.
✨ Key Features:
• Visual Positioning
• Live Preview
• Flip & Scale
• Save Presets
• Multi-Monitor Smart Detection
📖 Summary:
SpreadPaper is a native macOS application designed to seamlessly spread a single high-resolution wallpaper across multiple connected monitors. It offers a user-friendly interface for positioning, scaling, and flipping images to create a cohesive desktop aesthetic, overcoming the limitations of macOS's default wallpaper handling for multi-display setups.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
✨ MacOptimizer | Swift
🎯 Primary Use Case:
To clean, optimize, and manage macOS system resources and installed applications through a user-friendly interface.
✨ Key Features:
• System Monitor (CPU, Memory, Disk)
• App Uninstaller with Residual File Detection
• Junk Cleaner (System, App, Browser Cache, Logs)
• System Optimizer (Startup Items, Memory Release)
• Large File Finder
📖 Summary:
MacOptimizer is a comprehensive system optimization and app management tool for macOS, built with SwiftUI. It offers a suite of eight modules to clean junk files, uninstall applications completely, manage startup items, release memory, find large files, manage the trash, and explore the file system.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
To clean, optimize, and manage macOS system resources and installed applications through a user-friendly interface.
✨ Key Features:
• System Monitor (CPU, Memory, Disk)
• App Uninstaller with Residual File Detection
• Junk Cleaner (System, App, Browser Cache, Logs)
• System Optimizer (Startup Items, Memory Release)
• Large File Finder
📖 Summary:
MacOptimizer is a comprehensive system optimization and app management tool for macOS, built with SwiftUI. It offers a suite of eight modules to clean junk files, uninstall applications completely, manage startup items, release memory, find large files, manage the trash, and explore the file system.
🔗 Links:
• View Project
================
🔓 Open Source
🌟 networking-toolbox | Svelte
🎯 Primary Use Case:
To provide system administrators with a comprehensive, self-hosted, and offline-capable suite of networking tools for diagnostics, analysis, and security.
✨ Key Features:
• Offline-first functionality
• 100+ networking tools and utilities
• Self-hosted deployment options (Docker, Node, Static)
• SvelteKit + TypeScript development stack
📖 Summary:
Networking Toolbox is an offline-first, self-hosted web application providing over 100 essential networking tools and utilities for system administrators. Built with SvelteKit and TypeScript, it offers a comprehensive suite of diagnostic and analysis features accessible without an internet connection.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To provide system administrators with a comprehensive, self-hosted, and offline-capable suite of networking tools for diagnostics, analysis, and security.
✨ Key Features:
• Offline-first functionality
• 100+ networking tools and utilities
• Self-hosted deployment options (Docker, Node, Static)
• SvelteKit + TypeScript development stack
📖 Summary:
Networking Toolbox is an offline-first, self-hosted web application providing over 100 essential networking tools and utilities for system administrators. Built with SvelteKit and TypeScript, it offers a comprehensive suite of diagnostic and analysis features accessible without an internet connection.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
❤1
💡 ghgrab | Rust
🎯 Primary Use Case:
To efficiently download specific assets from GitHub repositories directly from the command line, avoiding unnecessary cloning and streamlining workflows.
✨ Key Features:
• Search and download files/folders from GitHub via CLI
• TUI (Terminal User Interface) with fuzzy search
• File preview within the TUI
• Support for GitHub LFS
• Batch download mode
📖 Summary:
ghgrab is a Rust-based command-line tool that provides a user-friendly terminal interface for searching and downloading specific files or entire folders from GitHub repositories without needing to perform a full `git clone`. It offers features like fuzzy search, file preview, batch downloads, and an agent mode for scripting.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To efficiently download specific assets from GitHub repositories directly from the command line, avoiding unnecessary cloning and streamlining workflows.
✨ Key Features:
• Search and download files/folders from GitHub via CLI
• TUI (Terminal User Interface) with fuzzy search
• File preview within the TUI
• Support for GitHub LFS
• Batch download mode
📖 Summary:
ghgrab is a Rust-based command-line tool that provides a user-friendly terminal interface for searching and downloading specific files or entire folders from GitHub repositories without needing to perform a full `git clone`. It offers features like fuzzy search, file preview, batch downloads, and an agent mode for scripting.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🔥 folderhost | TypeScript
🎯 Primary Use Case:
To provide a simple, self-hosted cloud storage and collaboration solution that is easy to deploy and manage, especially for users seeking a lightweight alternative to more complex platforms.
✨ Key Features:
• Single Binary Deployment
• No Dependencies Required
• High Performance (Go backend + React frontend)
• Real-time Collaboration (Monaco Editor)
• Multi-user Support with Permissions
📖 Summary:
FolderHost is a self-hosted cloud platform distributed as a single, dependency-free executable. It allows users to share files, collaborate in real-time with live code editing, and manage users, offering a lightweight alternative to complex solutions like Nextcloud.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To provide a simple, self-hosted cloud storage and collaboration solution that is easy to deploy and manage, especially for users seeking a lightweight alternative to more complex platforms.
✨ Key Features:
• Single Binary Deployment
• No Dependencies Required
• High Performance (Go backend + React frontend)
• Real-time Collaboration (Monaco Editor)
• Multi-user Support with Permissions
📖 Summary:
FolderHost is a self-hosted cloud platform distributed as a single, dependency-free executable. It allows users to share files, collaborate in real-time with live code editing, and manage users, offering a lightweight alternative to complex solutions like Nextcloud.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🔥 sentrysearch | Python
🎯 Primary Use Case:
Finding specific moments or events within video footage using natural language queries.
✨ Key Features:
• Semantic search over video files (mp4)
• Uses Gemini Embedding 2 or Qwen3-VL for embeddings
• Stores embeddings in ChromaDB
• Splits videos into chunks for indexing
• Returns trimmed video clips as search results
📖 Summary:
SentrySearch enables semantic search over video footage. It allows users to find specific moments within videos by typing descriptive text queries, and the system returns a trimmed clip of the relevant segment.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Finding specific moments or events within video footage using natural language queries.
✨ Key Features:
• Semantic search over video files (mp4)
• Uses Gemini Embedding 2 or Qwen3-VL for embeddings
• Stores embeddings in ChromaDB
• Splits videos into chunks for indexing
• Returns trimmed video clips as search results
📖 Summary:
SentrySearch enables semantic search over video footage. It allows users to find specific moments within videos by typing descriptive text queries, and the system returns a trimmed clip of the relevant segment.
🔗 Links:
• View Project
================
🔓 Open Source
🚀 awesome-seo-tools | HTML
🎯 Primary Use Case:
Discovering and selecting SEO tools to enhance website performance and search engine rankings.
✨ Key Features:
• Curated list of SEO tools
• Categorized tools for specific SEO needs
• Includes tools for keyword research, backlink analysis, content optimization, rank tracking, technical SEO, local SEO, browser extensions, and more
• Open for contributions to expand the list
📖 Summary:
This repository is a curated list of Search Engine Optimization (SEO) tools designed to help users improve their website's ranking and visibility on search engines. It categorizes various tools for different SEO needs, from keyword research to technical analysis.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Discovering and selecting SEO tools to enhance website performance and search engine rankings.
✨ Key Features:
• Curated list of SEO tools
• Categorized tools for specific SEO needs
• Includes tools for keyword research, backlink analysis, content optimization, rank tracking, technical SEO, local SEO, browser extensions, and more
• Open for contributions to expand the list
📖 Summary:
This repository is a curated list of Search Engine Optimization (SEO) tools designed to help users improve their website's ranking and visibility on search engines. It categorizes various tools for different SEO needs, from keyword research to technical analysis.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
💡 episteme | Kotlin
🎯 Primary Use Case:
A versatile, privacy-conscious offline document and e-book reader for Android devices.
✨ Key Features:
• Supports PDF, EPUB, MOBI, AZW3, Markdown, HTML, and plain text.
• Ink and text annotations for PDFs.
• Native parsing for MOBI/AZW3 and EPUB.
• Customizable e-book reading (font size, line spacing, margins, custom fonts).
• Text-to-Speech (TTS) functionality.
📖 Summary:
Episteme Reader is a native Android application for reading various document and e-book formats offline. It focuses on privacy and offers features like annotations, text-to-speech, and customizable reading experiences.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
A versatile, privacy-conscious offline document and e-book reader for Android devices.
✨ Key Features:
• Supports PDF, EPUB, MOBI, AZW3, Markdown, HTML, and plain text.
• Ink and text annotations for PDFs.
• Native parsing for MOBI/AZW3 and EPUB.
• Customizable e-book reading (font size, line spacing, margins, custom fonts).
• Text-to-Speech (TTS) functionality.
📖 Summary:
Episteme Reader is a native Android application for reading various document and e-book formats offline. It focuses on privacy and offers features like annotations, text-to-speech, and customizable reading experiences.
🔗 Links:
• View Project
================
🔓 Open Source