
Recognizes every voice.
AI-powered speaker detection works on solo takes, multi-person interviews, roundtables, and noisy recordings.
AI separates every speaker on your timeline automatically. Color-coded, named, and ready to cut.
Watch how Diarization turns a busy podcast recording into color-coded speaker tracks in one click.
Diarization is an AutoCut AI extension that listens to your timeline audio and automatically identifies every speaker.
Each speaker gets their own color-coded track and label โ so you can jump between voices, cut interviews, and organize multi-person recordings without manually scrubbing through every clip.
The goal: turn the hardest part of podcast editing โ tracking who said what โ into a two-second operation.
Four capabilities that make Diarization indispensable for interview and podcast editing.

AI-powered speaker detection works on solo takes, multi-person interviews, roundtables, and noisy recordings.

Each speaker is assigned a unique color and auto-label on your Premiere timeline so switching context is instant.

Every detected segment gets a text transcript alongside the track, so you can search and navigate by content.

Diarization runs across English, French, Spanish, Portuguese, and more โ without switching settings.
Three commands you can drop into any Ring slot, or fire from Ctrl+Right-click.
Run speaker detection on the selected clip and get color-coded segments on your timeline in seconds.
Rename each speaker directly in the panel so every track is identified for the rest of the edit.
Skip forward or backward between segments for a specific speaker โ no more scrubbing.
Diarization pairs well with the other AutoCut AI extensions and the free blinkl catalogue.
Generate natural-sounding narration in any language, right from the Ring.
Sync multi-cam audio, pick the best take, and cut between angles automatically.
Animate keyframes with custom easing curves and reusable presets.
FreeDrop a track, get markers on every beat. Tight music edits in seconds.
FreeLet AI separate your speakers and label every voice so you can focus on the story.