Capture without friction
One click before you start and that is it. No notes to take, nothing to remember halfway through, no switching tools while someone is talking to you.
Desktop
You are already having the meeting. What gets lost is what was said in it: the nuance, the commitment, the name that rang a bell. BlaBlaNote Recorder lives in your menu bar, captures the conversation and files it against the person you spoke to.
Always the latest version. macOS on Apple silicon, and Windows 10 or 11.
Every note system has the same problem: it only works if you remember to use it. This one starts where you already are.
One click before you start and that is it. No notes to take, nothing to remember halfway through, no switching tools while someone is talking to you.
The recorder reads the event you have running and hangs the interaction off the contacts who were in the room. It is not a loose audio file in a folder.
It starts when you say so, pauses whenever you want and is discarded with one click.
The recorder hears your microphone and the call separately, so it knows which voice is yours: the note arrives as a dialogue, with your turns under your name and the others as Speaker 1, Speaker 2. Put a name to each voice and the conversation stays on that person's profile.
Listen to a few short snippets of each voice and choose who it is: someone from the meeting, one of your contacts or a new one. Confirming a voice links that contact to the note.
If someone says "Hi Pedro" or mentions their company, the AI suggests who that voice is, with the sentence it is based on. It only looks among the meeting's guests and the contacts detected in it, and it links nobody until you confirm.
Apart from the audio itself, deleted after 24 hours, we keep nothing that describes what anyone sounds like, and nobody is recognised by their voice. The other names come from what was said and from what you choose.
One glance at the bar, nothing to open. It is monochrome, so it follows the system appearance.
Black on a light bar, white on a dark one. It stays out of the way.
Solid red rings. You know you are still recording even with the popup closed.
The rings open up and turn while the audio finishes uploading, then settle back down.
From first launch to the update banner, at real size: 320 pixels. The interface is in English, as in the recorder.
the first time you open it
Sign in once with your account and the recorder is ready. There is nothing else to set up.
it reads your calendar and gets there first
No meeting is running right now, but you can still record whenever you want.
It finds the event that is running and files the recording under it, with its attendees. If that is not the one, Change lets you record with No event.
When two events overlap it asks instead of guessing. Until you pick one, or No event, recording will not start.
while the audio is being captured
Red frame, a recording indicator and the timer running. Take notes as you talk; new lines get a timestamp from the recording. Discard, pause or finish.
The frame stays, the session is still open, but the timer stops. Resume when you are back.
It uploads the last of the audio and returns to ready on its own. You can walk away.
one message per system, with what to do about it
The only screen where you have to do something: one click opens the right settings pane.
There is no permission to grant here, so there is no button that leads nowhere either.
It downloads on its own in the background. One click restarts into the new version, whenever suits you. While you record, the banner waits.
The audio travels and is stored encrypted. It is transcribed by Amazon Web Services, in the European Union, and, once transcribed, is deleted one day after it is received. We do not use it to train AI models, and neither does Amazon Web Services, because we turned on its opt-out. And telling the other person you are recording is not just the right thing to do: in many places it is what the law requires.
How we protect your dataThe recorder does not ask you to change your habits. It opens where you already work, captures what is said and gives it back as context about the people in your network.