Getting a Transcript That Says Who Said What
Speaker separation is a different task from recognising words, and it succeeds or fails almost entirely based on how the recording was made.
Turning meetings into notes people can use: recording, transcripts with speaker labels, summaries and action items.

Speaker separation is a different task from recognising words, and it succeeds or fails almost entirely based on how the recording was made.
A talk and an article are different shapes, and most webinar write-ups fail because they keep the talk's structure. Here is what to throw away and what to keep.
Where Teams, Google Meet and Zoom actually put a meeting recording, what their own transcripts cover, and why downloading the file is the route that always works.
Local Zoom recordings land in a Documents folder, cloud recordings live in the web portal on a deletion clock, and the small audio file is the one to keep.
A year of call recordings is unsearchable by default; transcribing the right subset and naming files consistently is what actually lets you find one again.
Scrubbing through a two-hour recording by ear is slow for a reason, and three simple things make finding a specific moment fast instead.
A practical workflow for AI meeting notes: recording, transcription with speaker labels, summaries and action items — plus honest tool comparisons.
Comprehensive Otter.ai review covering features, pricing plans, free options, and top alternatives. Find the best AI transcription solution for your needs.