Overview:
Meetily is an open-source AI meeting assistant designed to capture, transcribe, and summarize meetings. All processing occurs locally on the user's machine, ensuring no data is sent to the cloud. It is built for professionals and enterprises that require control over sensitive information, such as defense consultants, enterprise executives, legal professionals, and healthcare providers. The application runs on macOS, Windows, and Linux, supports multiple AI providers for summaries, and is offered as a free, self-contained community edition.
Core Features:
Local Transcription: Transcribes meetings entirely on the device using Whisper or Parakeet models, with no cloud required.
AI-Powered Summaries: Generates meeting summaries using integrated AI providers, including local options like Ollama, as well as Claude, Groq, OpenRouter, or custom OpenAI-compatible endpoints.
Multi-Platform Support: Operates as a single, self-contained application on macOS, Windows, and Linux.
GPU Acceleration: Supports hardware acceleration via Apple Silicon (Metal/CoreML), NVIDIA (CUDA), and AMD/Intel (Vulkan), automatically enabled at build time.
Professional Audio Mixing: Captures microphone and system audio simultaneously with intelligent ducking and clipping prevention.
Audio Import and Enhancement (Beta): Allows users to import existing audio files for transcription and re-transcribe recorded meetings with a different model or language.
Use Cases:
Enterprise professionals needing to transcribe and summarize sensitive meetings while keeping all data on their own infrastructure.
Developers looking to integrate or customize a local meeting transcription and summarization tool with flexible AI provider support.
Self-hosters deploying a meeting assistant that works offline and supports multiple platforms.
Organizations with custom AI infrastructure that can leverage the custom OpenAI-compatible endpoint support for AI summaries.
Why It Matters:
Meetily provides a verifiably local processing model for meeting transcription, eliminating data transfer to external servers. Its modular approach supports both local and cloud-based AI providers for summarization, offering deployment flexibility. As open-source software, it allows for self-hosting and modification. The community edition remains free, addressing the core requirement of data sovereignty for users handling sensitive discussions.
