quill README

The project's README from github.com/humanitas-labs/quill. As one markdown file: README.md.

quill

A minimal, fully local macOS meeting recorder + transcriber. One menu-bar click records your mic and all system audio as two separate tracks; when you stop, quill transcribes both on-device and writes a speaker-tagged transcript. Nothing ever leaves the machine.

Named for the feather. Sibling of parrot, same skeleton: single Swift binary, menu-bar tray, no app bundle.

Install

cd quill
swift build -c release
sudo cp .build/release/quill /usr/local/bin/quill
quill install --launch-at-login   # optional — runs in the background on login

Requires: macOS 15+ (Core Audio process taps for system audio — no virtual device, no kernel extension). Apple Silicon recommended for transcription speed.

How to use

  1. Run it (quill in a terminal, or the LaunchAgent).
  2. Click the feather in the menu bar → Start recording. First use prompts for microphone and System Audio Recording permissions. While recording, the icon turns red with a running elapsed counter, and macOS shows the purple recording indicator.
  3. Click → Stop recording when the meeting ends. Transcription starts automatically (the menu shows progress); a notification fires when the transcript is ready.

Each session lands in ~/Recordings/<yyyy.MM.dd-HHmm>/:

File Contents
mic.caf your side (default input device, AAC)
system.caf everything the Mac played — the other side of the call (AAC)
meta.json start/end timestamps, duration, per-track start offsets
transcript.json canonical transcript — engine provenance + timed, speaker-tagged segments
transcript.md the same transcript rendered for reading
transcribe.log transcription progress/errors for this session

Two tracks on purpose: speech models do better on clean single-source audio, and mic-vs-system is free two-party diarization — me vs them with no speaker-identification model. CAF on purpose: unlike m4a, it needs no finalization pass — if the process dies mid-meeting, everything already written is still readable.

Transcription

Built in, on-device, automatic. The default engine is Parakeet TDT 0.6B v2 (English) via FluidAudio's Core ML port — roughly 20 seconds per hour of audio on Apple Silicon. Models (~600 MB) download once on first transcription; quill doctor tells you whether they're already cached so you're never downloading after an important meeting.

Each track is transcribed separately, shifted by its start offset so both share one clock, and merged by timestamp. Jobs run in a serial queue — you can start a new recording while the last one transcribes. Unfinished jobs resume on next launch (the filesystem is the queue: a session with meta.json but no transcript.json is pending). Failures append to the session's transcribe.log and never block later jobs.

The engine sits behind a small protocol; a Whisper engine (WhisperKit large-v3-turbo) is planned as the fallback / re-transcription option.

Config

Optional, at ~/.config/quill/config.json:

{
  "recordings_dir": "~/Recordings",
  "transcription": { "enabled": true, "engine": "parakeet" },
  "on_stop": "my-hook"
}

CLI

quill                        # run the menu-bar daemon (^C to quit)
quill run --out <dir>        # custom recordings root (default ~/Recordings)
quill doctor                 # check permissions, recordings folder, models
quill install --launch-at-login
quill install --uninstall

Stack

Gotchas

quill (humanitas-labs/quill)

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3.9K ·GitHub
What is this?quill is a minimal, fully local macOS meeting recorder and transcriber. One menu-bar click records your mic and all system audio; when you stop, it transcribes both tracks on-device into a speaker-tagged transcript.
Is this a menu-bar app or a command-line tool?A single Swift binary with no app bundle, whose entire UI is the menu-bar tray icon. You launch it from a terminal or via a LaunchAgent, then drive it by clicking the feather.
How do I record my first meeting?Run quill in a terminal or via the LaunchAgent, click the feather and choose Start recording — first use prompts for microphone and System Audio Recording permissions. Stop when the meeting ends; transcription starts automatically and a notification fires when the transcript is ready.
What does my Mac need to run it?macOS 15 or newer, since system audio is captured with Core Audio process taps — no virtual device or kernel extension. Apple Silicon is recommended, and ~600 MB of transcription models download once on first use; quill doctor tells you whether they are already cached.
Any gotchas before I use it in a real meeting?The system-audio tap is global: it records everything your Mac plays, so don't run Spotify or other sound sources during a meeting. Silent recordings usually mean the Screen & System Audio Recording permission is off.
Does my audio ever leave my machine?No — recording, storage and transcription all happen on-device. The only download is the one-time fetch of the transcription models.
What files does one session leave behind?Each session lands in ~/Recordings: mic.caf, system.caf, meta.json, transcript.json (timed, speaker-tagged segments), transcript.md for reading and transcribe.log. Audio is CAF, which needs no finalization pass — if the process dies mid-meeting, everything already written stays readable.
Why record the mic and system audio as two separate tracks?Speech models do better on clean single-source audio, and mic-vs-system is free two-party diarization — 'me vs them' with no speaker-identification model. Each track is transcribed separately and merged onto one clock by timestamp.
How fast is transcription, and can I keep recording while it works?Roughly 20 seconds per hour of audio on Apple Silicon with the default Parakeet engine. Jobs run in a serial queue, so you can start a new recording while the last one still transcribes, and unfinished jobs resume on the next launch.
Does it handle languages other than English?Not yet — the built-in Parakeet engine is English-only. A WhisperKit large-v3-turbo engine is planned as a fallback and re-transcription option, and other languages are expected to come with it.
Size
0.2 MB
Stars
3.9K
Updated
CommitSep 27
Age
2mo
Commits · 90 Days