What AI models does Azynote support?

Azynote currently uses Google Gemini as its AI provider. You bring your own API key: Gemini offers a generous free tier, so most users pay nothing for AI usage. Support for additional LLM providers is planned, and local LLM support is on the roadmap for a fully local experience.

Is my data stored in the cloud?

Your notes and transcription stay entirely on your Mac: no audio is ever uploaded or stored anywhere. When you use AI features, your data goes directly to Google via your own API key. We are never in the middle. Local LLM support is on the roadmap to enable a fully offline experience.

How does the transcription work?

Azynote transcribes your meetings in real-time, directly on your machine. There's no audio file created, no upload to a server, no processing delay. When the meeting ends, your transcription is already complete and ready to use.

Can I use my company's approved AI key?

Yes, that's the whole point. If your company has already approved Google Gemini, you use that same key with Azynote. Your data flows directly to Google under your existing agreement.

Bring Your Own Key. You create a free Google AI API key in 30 seconds, paste it into Azynote, and you're ready to go. This means your data goes directly from your machine to Google's AI: we're never in the middle.

Can I use Azynote with other AI tools?

Yes. Azynote includes an MCP server, so any MCP-compatible tool (Claude Desktop, Cursor, etc.) can query your meeting knowledge directly.

What happens if I don't renew?

Azynote keeps working. You keep all your data and features. You just won't receive new updates or support until you renew.

Who will really benefit from this application?

Azynote is designed for anyone who manages multiple subjects through frequent meetings: SEs, CSMs, Account Executives, consultants, project managers. We're launching with a focus on Solution Engineers first.

Real-time Transcription

Hit record. Azynote transcribes what is being said in real time, fully on your Mac. You get a clean, searchable transcript at the end. No audio file is ever stored.

How it works

Azynote treats the transcript as the product. The audio is just the means.

While the transcription is running:

Audio is sliced at natural pauses in speech (voice activity detection), so each slice is roughly one complete sentence rather than an arbitrary time window. This gives Whisper whole thoughts to work on and produces cleaner text.
Each slice is transcribed on-device by Whisper.
As soon as the transcript for that slice lands in your session, the slice itself is deleted.

When you stop, all that remains in the session directory is the transcript file. There is no .wav, no partial audio, nothing you could play back.

This is deliberate. It keeps your conversations private, saves disk space, and makes the feature safe to use often. It also means: if you miss something in the transcript, you cannot go back and re-listen. Trust the text.

Start a transcription

Click the red record button in the top toolbar of any session. Transcription starts immediately, no dialog, no confirmation.

Choose what gets transcribed

In Settings > Audio, pick:

Microphone: which mic captures your voice.
Capture App: whether to also transcribe a second audio source, so both sides of a meeting land in the transcript. Three options:
- All System Audio (default): transcribe anything playing on your Mac. Catches any meeting platform with no further setup.
- A specific application: pick a single app. Recognized meeting apps include Zoom, Microsoft Teams, Webex, and FaceTime. Browser-based meetings (Google Meet, Jitsi) route through your default browser. You can also pick any other running app.
- None: only your voice is transcribed.

When a Capture App is set, Azynote automatically separates distinct voices within each audio source and labels them in the transcript. Microphone voices appear as Mic: Speaker 1, Mic: Speaker 2, and so on. System-audio voices appear as System: Speaker 1 (when using All System Audio) or with the app name, for example Zoom: Speaker 1 or Google Chrome: Speaker 2. Each source has its own independent speaker numbering starting at Speaker 1.

Azynote remembers the last selection.

How speakers are identified

Azynote figures out who is speaking in three steps, all automatic.

Separate audio sources. Your microphone and the meeting audio are treated as independent streams from the start, so your voice is never mixed with the other side. In a one-to-one call, that separation alone is enough to tell you who said what.

Voice detection within each source. When several people share the meeting audio, Azynote detects the distinct voices and numbers them (Speaker 1, Speaker 2, ...) as the conversation happens. You do not configure anything and do not need to know in advance how many people will join.

Names and cleanup (optional). After the session, you can put real names on the numbered speakers and fix any mistranscribed words in one action. See Improve the transcript below.

Calendar-aware capture

When you start a session from a calendar event, Azynote can automatically switch your Capture App to match the meeting platform. This only applies when your Capture App is set to a specific application or None. If you are in All System Audio (the default), Azynote leaves your choice alone, since that mode already catches any meeting platform.

Where it applies, Azynote maps the event's meeting link like this:

Zoom link → Zoom
Teams link → Microsoft Teams
Webex link → Webex
FaceTime link → FaceTime
Google Meet or Jitsi link → your default browser

While a transcription runs

The session shows a live indicator at the top of the window with a pulsing red dot, the active microphone name, a running timer, small activity dots for the mic (and app audio if a Capture App is set), and Pause / Stop buttons.

Open the Transcript tab and the transcription appears there as you speak. No waiting, no "send" button. It just lands on the page. You can keep typing in the Notes tab at the same time.

Pausing by source

You can pause just one audio source while the other keeps running.

Click the mic indicator to pause your microphone only. Useful when you need to take a side call, step away from your desk for a moment, or have a sensitive aside you do not want in the transcript. System audio keeps capturing the meeting the whole time.
Click the system-audio indicator to pause that side only. Your mic stays active.
Click the master Pause button to pause both at once.

When a source is paused, its icon dims and swaps to a pause glyph so you can tell at a glance which sources are active. The master Resume button appears only when both sources are paused. The Mini Player mirrors this: the same per-source controls are available there when the app is collapsed.

Click Mini Player to collapse the app into a compact overlay that stays on top of everything else. For full-screen shares where you do not want the app visible at all, Stealth Mode hides every piece of chrome and leaves a neutral notepad surface on screen.

Stop

Click Stop. Azynote finishes transcribing the last slice, shows a brief Processing... indicator, and removes the live indicator. The complete transcript is now in the Transcript tab, ready to edit, search, copy, or feed into a OnePager. No audio file is saved to the session.

Work with the transcript

The transcript behaves like a regular editor:

Select and edit text directly, for example to fix a misheard name.
Cmd+F to search inside the transcript.
Copy and paste like any text.
It automatically feeds into OnePager generation, so any correction you make shows up in the next OnePager.
Chat questions about the session use the transcript as context, so you can ask "what did Sarah say about the timeline?" and get a grounded answer.

Timecodes and speaker labels

Every line in the cleaned transcript is stamped with an elapsed-time prefix and a speaker label, like:

[00:14:23] Mic: Speaker 1: So I think we should focus on quarterly targets.
[00:14:31] Zoom: Speaker 1: That sounds good, let's do it.

The label format is Source: Speaker N. Your microphone appears as Mic: Speaker N. A capture source appears as the source name followed by a speaker number, for example Zoom: Speaker 1 or System: Speaker 2. Azynote automatically detects distinct voices within each source and assigns them separate numbers. It numbers speakers rather than naming them, so you may want to rename speakers in your notes after the meeting. The clock measures actual meeting time: any stretch you spent paused, or away with /brb, is subtracted, so the timecodes reflect the real flow of the conversation, not wall-clock time. This makes it easy to skim for a specific moment or cite a point precisely.

Confidence dot

To the left of the speaker label on each line, there is a small colored dot. It shows how confident Azynote is that the line is attributed to the right speaker:

Solid dot: high confidence.
Faded dot: medium confidence.
Hollow ring: low confidence. Worth a glance to check the attribution before sharing the transcript.

The dot uses the same color as the speaker label, so you can spot uncertain lines at a glance without reading every label.

Speaker summary

At the top of the Transcript tab, a strip of chips shows every detected speaker at a glance. Each chip displays the speaker label, the number of lines they spoke, and their average line duration, for example:

System: Speaker 1 · 7 lines · 7.0s avg    Mic: Speaker 2 · 4 lines · 8.2s avg

This lets you quickly see who dominated the conversation and cross-reference a speaker label with how much they contributed before reading the full transcript.

Improve the transcript

After a session, you can ask Azynote to clean up the transcript with one click. The Improve transcript button (the magic-wand icon) is in the session editor toolbar. Click it to open a small dialog.

The dialog has two optional text fields: Microphone and System audio. Type the names of the people on each side, separated by commas. Leave a field empty and the AI will try to infer names from the conversation itself (from moments where someone is addressed by name, or a role is mentioned). Names you type act as hints, not overrides.

When you click Run, three things happen:

Speaker names are applied. "Speaker 1", "Speaker 2", and so on are replaced with real names where the AI can figure them out.
Mistranscribed words are fixed. Proper nouns, product names, and acronyms that the transcription got wrong are corrected using surrounding context. For example, a product name heard as two separate words gets merged back.
Duplicate speakers are merged. If the same person was split into two numbered speakers, their lines are combined under one name.

When it finishes, a brief confirmation appears: "Transcript improved. N speaker(s) identified." After that, the corrected names and words flow into any OnePager you generate from the session.

Hide backchannel. The transcript header also has a "Hide backchannel" toggle. Turn it on to filter out short filler lines ("yeah", "mhm") from the view, which can make a busy transcript much easier to read.

Run automatically after every recording

If you want the cleanup to happen without clicking anything, go to Settings > Audio and turn on Auto-improve transcripts after recording. Azynote runs the improvement in the background as soon as each transcription finishes.

What gets sent to the AI

This feature uses Gemini with your own API key, the same setup that powers OnePager generation. If you have not added a Gemini key in Settings, the button is not available.

What is sent to Gemini is only the transcript text, not any audio. Your audio is transcribed on-device and discarded immediately; it never leaves your Mac. The optional cleanup pass sends the resulting text to your own Gemini key. See Gemini API Cost for estimates.

Default to asking. A one-line ask at the start of the meeting is enough: "I'm capturing a transcript of this call to help with my notes, any objection?"

Transcription laws vary by jurisdiction. Some places allow one-party consent, others require everyone's consent, and rules differ in the EU under GDPR. This is not legal advice. When in doubt, ask.

Tips

Auto-copy a consent message to your clipboard. Turn on Settings > Audio > Recording Notification and write your own message ("FYI I'm taking notes with my AI assistant, it transcribes locally and never leaves my Mac"). The moment you start a transcription, Azynote copies that text to your clipboard, ready to paste into Slack, Teams chat, or the meeting app. Toggle off if you do not want it.

Mic-only mode forces presence. Set Settings > Audio > Capture App to None. Only your own voice is transcribed. This nudges you to reformulate what the other party said out loud ("so what I'm hearing is..."). You get better comprehension for them, confirmation for yourself, and a cleaner transcript that reads like your own thinking.

Brain drainer after the meeting. When capturing the call itself is awkward, skip it. Walk out of the meeting, start a session, hit record, and narrate the key points to Azynote for three to five minutes. Zero consent friction, zero third-party voices to manage, and a transcript that already reflects your own framing of what mattered.

Good to know

Already have a file? Drop any audio or video file into a session to transcribe it the same way. See Session Assets.
Permissions: Transcribing your mic requires Microphone access. Transcribing a Capture App's audio also requires macOS's Screen & System Audio Recording permission. Both are set up during First Launch.
First-time model download: your first transcription triggers a one-time download of the Whisper model, about 1.5 GB compressed. Azynote shows a progress dialog. If you cannot download (corporate firewall), drag a local model bundle zip into the dialog to import from disk. Contact support at support@azynote.com for the bundle.
One transcription at a time: if you drop an audio file while a live transcription is running, Azynote waits until you stop before transcribing the file.