👻 PhantomEar (Now Fomy.io)

Always Listening. Never Seen.

The privacy-first AI meeting assistant that lives entirely on your machine.

✨ Visit our new home: fomy.io ✨

Download • Features • Phomy AI • How It Works • Tech Stack

🎯 The Problem with Modern Meeting AI

Traditional meeting assistants expose your presence:

• 🤖 Bots join the call: Everyone knows you're recording.
• ☁️ Cloud uploads: Your private conversations leave your secure environment.
• 🔒 Admin privileges: IT blocks the installation of invasive tools.
• 💰 Expensive subscriptions: Monthly costs rack up for simple transcription features.

✨ The PhantomEar Solution

PhantomEar (fomy) is fundamentally different. It is an ambient intelligence tool built for privacy purists.

📥 Download

xattr -cr /Applications/PhantomEar.app

🎬 Core Features

Real-Time Transcription Live, hyper-accurate speech-to-text powered by local Whisper.	AI Q&A Interact naturally and ask hyper-specific questions about any past meeting.	Auto Summaries Distill hour-long meetings into key points, decisions & action items.
Semantic Search Find abstract concepts or exact phrases across all your stored meetings.	Persistent Memory Robust SQLite backed with full-text fuzzy search.	Air-Gapped Privacy Everything stays on your device. Period.

👻 Meet Phomy: Your Intelligent Meeting Co-Pilot

Phomy is your dedicated AI meeting assistant. It uses advanced RAG (Retrieval-Augmented Generation) to understand your intent:

• Time Windows: "What did we discuss in the last 15 minutes?"
• Action Items: "List all the tasks assigned to me during this sync."
• Global Search: "When did we last talk about the Q3 marketing budget across all meetings?"
• Web Fallback: If you ask a question outside the scope of your transcripts (e.g. "Who won the world cup in the year we discussed?"), Phomy seamlessly falls back to a live, configurable Web Search that you can cancel at any time.

Feature Highlights

• 🎙️ Multi-Model ASR: Choose between varying Whisper variants (tiny → large) or Parakeet CTC models based on your hardware specs.
• 🤖 LLM Flexibility: Plug in an OpenAI API key or use Ollama (for a fully air-gapped, 100% local operation).
• ⏸️ Pause/Resume: Pause transcription on-the-fly without breaking the recording session.
• 📝 Transcript Editing: Modify generated segments or fix rare transcription errors.
• 🗣️ Speaker Labels: Manually tag speakers to dialogue segments for better context tracking.
• 📊 Visual Timeline: Navigate long recordings effortlessly with an interactive timeline.
• 🔍 Quick Global Search: Hit Cmd+K from anywhere to search across every recorded meeting.
• 🖥️ System Tray Integration: Run headlessly in the background. Start/stop directly from the menu bar.
• 📋 Seamless Export: One-click copy interactions as Markdown or plain text to share.

🔬 How It Works Architecture

┌─────────────────────────────────────────────────────────────────────────┐
│                           YOUR MACHINE                                   │
│  ┌─────────────┐    ┌─────────────┐    ┌─────────────┐    ┌──────────┐ │
│  │  Microphone │───▶│   Whisper   │───▶│   SQLite    │───▶│    UI    │ │
│  │   (cpal)    │    │  (local)    │    │  + FTS5     │    │ (Svelte) │ │
│  └─────────────┘    └─────────────┘    └─────────────┘    └──────────┘ │
│                            │                  │                         │
│                            ▼                  ▼                         │
│                     ┌─────────────┐    ┌─────────────┐                  │
│                     │ Embeddings  │    │  Semantic   │                  │
│                     │ (BGE-small) │───▶│   Search    │                  │
│                     └─────────────┘    └─────────────┘                  │
│                                               │                         │
└───────────────────────────────────────────────│─────────────────────────┘
                                                │
                          ┌─────────────────────┴─────────────────────┐
                          │         OPTIONAL: LLM Context             │
                          │    (Only curated text, never raw audio)   │
                          └─────────────────────┬─────────────────────┘
                                                │
                                    ┌───────────┴───────────┐
                                    ▼                       ▼
                             ┌──────────┐            ┌──────────┐
                             │  Ollama  │            │  OpenAI  │
                             │ (local)  │            │  (API)   │
                             └──────────┘            └──────────┘

Data Privacy Contract

*Only if explicitly using the OpenAI API integration. Switch to Ollama for a 100% local, air-gapped data loop.

🏗️ Development & Contribution

Tech Stack Breakdown

Rust

Tauri 2.0

Svelte 5

TailwindCSS

Getting Started Locally

# 1. Clone the project
git clone https://github.com/Phantom-Ear/phantom-ear.git
cd phantom-ear

# 2. Install Node dependencies
npm install

# 3. Spin up the Tauri Dev Server
npm run tauri dev

# 4. Build for Production Release
npm run tauri build

Note: You must have Node v18+, Rust 1.75+, and CMake (for whisper.cpp) installed.

🤝 Contributing

PhantomEar is built by the community. Check out our ongoing Roadmap to see what we're working on next!

1. Fork the repo.
2. Create your feature branch (git checkout -b feature/amazing-feature).
3. Commit your changes (git commit -m "Add amazing feature").
4. Push to the branch (git push origin feature/amazing-feature).
5. Open a Pull Request.

📄 License & Legal

This project is licensed under the MIT License - see the LICENSE file for details.