- Category
- AI Tools
- Rank
- No. 4007Tools index
- Type
- TOOL
- Use case
- Productivity & Collaboration
- Interfaces
- Desktop · MCP
- GitHub
- 1 stars
- Date
About
A macOS menu-bar meeting recorder that captures microphone and system audio as separate tracks and transcribes them on the device with the multilingual Parakeet v3 model. It writes a speaker-tagged transcript and runs a local, read-only MCP server so tools such as Claude Code, Codex and OpenCode can search and read transcripts. It is a fork of the Quill project and the README lists the added features.
At a glance
Quills is a macOS menu-bar meeting recorder that saves your microphone and the Mac's system audio as two separate tracks, then transcribes both on-device with Parakeet and merges them into a transcript tagged me versus them. It is a downstream fork of Andrew Jones's Quill that adds multilingual models, a pause control and a local read-only MCP server so coding agents can search your transcripts.
Good fit
Mac users who already work in a terminal and want plain files from every call: CAF audio, a JSON transcript and a Markdown copy in a dated folder. It suits people who want Claude Code, Codex or OpenCode to look up past meetings through MCP, or who want an on_stop shell hook to start their own summarizing or filing step.
Consider something else when
Skip it if you want an installable app with summaries, notes or speaker names. Quills ships no app bundle or release, so you build and code-sign it yourself, and it only separates you from everyone else on the call. Skip it too if you need Whisper models, Windows or Linux, or a macOS version older than 15.
Start here
Clone the repository, run swift build -c release, and sign the binary with an Apple Development or self-signed code-signing identity before installing it to /usr/local/bin. Run quills models --download, then quills doctor. Click the feather icon, choose Start recording, grant microphone and System Audio Recording access, and stop to get a transcript in ~/Recordings.
Cost and requirements
The code is MIT-licensed and the README lists no paid service. It needs macOS 15 or later, the Swift toolchain to build, and a code-signing identity; Apple Silicon is recommended for transcription speed. The default Parakeet v3 model is about a 600 MB first download, after which transcription runs offline. Any MCP client you connect may send transcripts to its own hosted model.
Limits to know
The system-audio tap records everything the Mac plays, including notification sounds and music. Diarization is only mic versus system, and the echo filter is described as conservative, so speaker playback can still appear twice; mic_voice_processing helps when using speakers. An unsigned build asks for permissions on every recording. Sessions under 10 seconds are discarded. Parakeet v3 covers 25 European languages plus Japanese; the other two models are English only.
Related work
Still unclear
- How accurate the merged transcripts are on real multi-person calls; the README calls its model labels selection guidance rather than a measured ranking.
Sources checked 2026-11-15. Source-based assessment.
Tags
Tech Stack
Comments (0)
No comments yet
Editorially curated, with community endorsements as a secondary signal. Corrections welcome.