Feature Ideas

The transcript quality is not good at all now. Suggest to focus on it and improve the transcript quality. When you launch a new transcript model, you can run on previous voice recordings and further improve the historical transcripts too.

Native Android app

Allow us to edit the transcription to improve the quality of the generated meeting summary. Separate request to edit Live Notes: https://feedback.limitless.ai/b/kvj1nlve/feature-ideas/edit-notes-created-by-limitless

Allowing the resources available on the Limitless app to be consumed by other AI products fits well into the AI agentic ecosystem.

I shouldn't need to manually label 20 seconds for each new voice—Limitless should be able to patch together similar voices and say "Hey, we recognized a new voice... who's this?"

Being able to support other types of calendars and email clients like Outlook.

Right now, it only captures the words. There's no indication of the sentiment or emotion. For example, I had it transcribe while I was playing a YouTube video of an SNL skit. It was about a doctor informing the family that their father didn't survive the operation. It was all humor and silliness. But from the transcript, you'd think it was a serious conversation. If Limitless could pick on on things like laughter and tone of voice to get a sense of the humor or emotion behind the words and somehow note that in the transcript, that would be awesome!

Have agents take actions on your behalf using the context from Limitless.

The ability to search the transcript by speaker name, date/time, location, keyword ...etc would be great for quickly making the transcript useful without having to necessarily go through the AI model.

Sometimes using system mic is not an option (when I'm in a public space) so I'd like to be able to record both sides of the conversation on my Windows and mobile devices.

Integration with Reminder Apps such as Apple Reminders to automatically put tasks there.

Where is often as important as when and what was heard. I want to browse the timeline of my life with location, audio and video.

Some speaker identities in the transcription are inconsistent. For example, Speaker A is now labeled as both Speaker A and Speaker C. This likely happened because both speakers have similar voices and were mistakenly identified as the same person, especially when they talked over each other. When I try to change Speaker C back to Speaker A, it updates all instances throughout the transcription, treating Speakers A and C as the same person. Unfortunately, there doesn't seem to be a way to reset them to ensure they are identified correctly again.

We have existing meeting audio or voice recordings that we want to transcript to add to the knowledge database.