Speaker Diarization
v1.4.0Identify and label different speakers automatically throughout a transcript.
See what we’re building now and exploring next. Priorities may change as we learn.
Identify and label different speakers automatically throughout a transcript.
Reuse image and video assets, place linked overlays above the primary video, and inspect their timing alongside clips in an expanded timeline.
Expose Sequence tools and project context to compatible AI clients through the Model Context Protocol.
Sync, review, and prepare edits across multiple camera angles in one Sequence project.
Export your Sequence project as a standalone package to share with others and import your edits into their Sequence project.
Apply a different preview LUT to each variant without changing the source media.
Export captions and titles directly without creating a full timeline handoff.
Intelligently crop each variant to focus on the subject in the content.
Connect Sequence workflows to supported AI agents through your OpenAI account.
Find shots by describing their visual content in natural language.
Detect and obscure sensitive personal information visible within video frames.
Reduce background noise with adjustable processing suited to different recordings.
Add a secondary transcription model designed for broader Asian-language coverage.
Control censor-beep timing and tone, or upload a custom replacement sound.
Add more tools for cleaning, balancing, and preparing audio before export.
Import Final Cut Pro projects into Sequence for transcript-led review and preparation.
Import structured metadata from XML, NewsML, and other supported interchange formats.
Expose common Sequence actions to Shortcuts, Siri, and other system automations.
Bring the complete Sequence workflow to Windows in a dedicated native application.
Bring the complete Sequence workflow to Linux in a dedicated native application.
Bring Sequence workflows to iPhone and iPad in a dedicated native application.