Blog
ProductBuilding an Outcome Machine
Why we are investing in the foundations behind Sequence: a reliable engine, native workflows, and integration contracts that make better editing outcomes repeatable.
ProductTranscription That Stays with Your Project
Sequence turns spoken footage into a searchable, timed transcript on your Mac, keeping your media local and your rough-cut workflow close to the project.
ProductCreative AI Tools Don't Have to Know Everything About You
Creative AI Tools Don't Have to Know Everything About You. Why local-first, encrypted architecture matters for editors, journalists, and researchers handling sensitive transcripts
ProductEditing Live-Event Footage Under Pressure
Live events create hours of unpredictable footage and a short window to turn it into accurate, platform-ready edits. A transcript-led first pass makes that work easier to control.
ProductHow to Edit Podcasts Faster on Mac
Edit podcasts faster on Mac by shaping rough cuts from transcripts, cleaning repetitive edits, preparing audio, and creating clips for every platform.
ProductHow to Transcribe Your Footage Locally on Your Mac
Sequence transcribes spoken footage on your Mac with a Core ML conversion of NVIDIA’s Parakeet v3. Search the words, shape the rough cut, and keep the source media off transcription servers.
ProductCore ML vs MLX: Why We Chose Core ML for Sequence
Core ML vs MLX on Apple Silicon is not a pure speed contest. We tried both for on-device transcription, and here is why Core ML shipped in Sequence.
ProductWhy LUFS Matters and How to Prepare Audio Before You Edit
LUFS helps describe perceived loudness across a programme. Learn what the measurement means, how common working targets differ, and how Sequence prepares audio before export.
ProductGetting Started with Sequence
A practical first project in Sequence: import, transcribe, shape the rough cut, prepare audio, then export or continue in your editor.