On-device transcription
Audio is processed locally with Whisper models, from Tiny to Large v3, so sensitive discussions never leave your Mac.
Privacy-first transcription
Meeting notes that write themselves.
Tironian Notes records your meetings, transcribes them on-device, and tags who said what. No cloud upload required.
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Core Features
Built for private, speaker-aware meeting workflows
Focused feature set for teams that need accurate transcripts, clear speaker ownership, and reliable automation in one native Mac app.
Speaker labels that stick
Turn generic labels into real names and keep improving matching quality as you review more recordings.
Calendar automation
Detects Apple Calendar links for Meet, Zoom, and Teams, then starts capture when the meeting opens.
Menu bar control
Start, stop, and check status instantly from the menu bar without disrupting your active call window.
Positioning
Why choose Tironian Notes
Built for people who need reliable meeting records without legal, privacy, or workflow friction.
Protect client confidentiality
Keep sensitive conversations on-device and reduce risk from third-party cloud transcription pipelines.
Recover decisions faster
Search transcripts by speaker to find exactly who promised what, then follow up with confidence.
Fit into existing habits
Menu bar controls and calendar-triggered recording make adoption simple for busy teams.
LLM Features
Built-in LLM post-processing workflows
Create prompt-based tasks once, then run them automatically or manually on each recording. Use cloud providers or local Ollama, with per-provider model selection in Preferences.
Provider + model routing
Connect OpenAI, Anthropic, Gemini, OpenRouter, or Ollama and choose models per provider with model list refresh in-app.
Event-driven task triggers
Run tasks after transcription, diarization, or speaker matching. Triggers queue safely and process in sequence.
Result files + markdown tabs
Each task writes a sidecar output file and appears as a tab next to the transcript, rendered with markdown-friendly formatting.
Providers: OpenAI
Providers: Anthropic
Providers: Gemini
Providers: OpenRouter
Providers: Ollama (local)
Workflow
How it works
Train once, record as usual, and get searchable notes with speaker context ready to share.
Connect your calendar
Grant calendar permission so the app can detect meetings and prep recording at the right time.
Record from the menu bar
Capture microphone or meeting audio with a single click and watch transcript lines appear live.
Name speakers and export
Map default Speakers to real people, then export transcript text for docs, summaries, or archives.
Train automatic speaker matching
Train the system to recognize your speakers automatically and match them in future recordings.
Gallery
Product views
Main recording workspace and transcript panel in action.
Platform Details
Technical specs
- Platform
- MacOS v14+
- Voice to Text Model
- Whisper Tiny to Large v3
- Any Meeting
- Google Meet, Zoom, Microsoft Teams, Slack, etc
- LLM providers
- OpenAI, Anthropic, Gemini, OpenRouter, Ollama
- Permissions
- Microphone, Screen Recording
- Automation
- Apple Calendar integration
- LLM triggers
- After transcription, diarization, speaker matching
- Processing and Storage
- Fully on-device. It is 100% yours.
Named after Tiro, inventor of classical shorthand: capture speech clearly, keep context intact.