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Meetily
Meetily's Community Edition is a desktop app that records meetings, transcribes the audio locally, and turns transcripts into summaries.
It can capture your microphone and the computer's audio together, so the recording can include both your voice and the meeting audio playing through the device. Use this as a first read, not a recommendation. Open the original project before trusting details like terms, limits, privacy, cost, setup, or safety.
What it is
Meeting notes in a desktop app
The interface brings meeting management, transcription, and summary generation together. Meeting metadata, transcripts, and summaries are stored in a local SQLite database.
Why it stands out
Speech and summaries have separate engines
Whisper or Parakeet handles speech-to-text locally. The summary stage can use local Ollama or a chosen external language-model provider.
Availability
Installers plus a source-build route
The MIT repository provides Windows and macOS release downloads. Linux installation is documented as a build from source.
Why it matters
What makes it useful
You can keep a transcript to return to after a call and generate a shorter account of what was discussed. Having both in the app gives you somewhere to check the wording behind a summary instead of treating the summary as the whole meeting.
What to know
Where it fits
Meetily sits alongside the meeting app as the audio capture and notes tool. Once the speech model has produced a transcript, the summary engine uses the language-model provider configured in settings.
Notable points
What stands out
You do not have to start with a live meeting. The repository's beta import-and-enhance feature can transcribe an existing audio file or re-transcribe a recording with a different model or language.
Before using
What to review
Local transcription does not make every summary local. The privacy policy distinguishes on-device Ollama from optional external providers; check that choice before sending meeting content for summarization.
The Windows installer requires an AVX2-capable x64 CPU and uses a Vulkan-enabled Whisper build. The README places CUDA acceleration on a separately configured source-build path.
The project's privacy policy says usage analytics are optional and off by default.
Check the edition when following product links: the repository describes PRO as a separate codebase with additional features.
Reader fit
Who may find it relevant
People who want a desktop workflow for their own meeting notes and are willing to choose speech and summary models. Developers can also inspect how audio capture, local transcription, and a provider-based summary engine fit inside one Tauri app.
Editorial note
Why LifeHubber lists it
Meetily makes a useful distinction visible: where speech becomes text and where text becomes a summary are separate decisions. That helps readers assess a local-first meeting tool without assuming the label describes every processing step.
Source links
Source materials
Reader note
Before relying on this entry
LifeHubber lists entries to help readers inspect AI projects, not to endorse them or prove they are safe, suitable, accurate, maintained, or right for a specific use. We do not verify every entry in depth. Before relying on anything listed, review the original materials, terms, privacy practices, limits, and risks that matter for your situation.
What to explore next
Keep the meeting workflow and data path visible.
Decide whether the recording only needs transcription, should become project context, or belongs in a broader local setup.
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