Frame-Accurate Rough Cuts Explained — Passcut
How Passcut combines probabilistic LLM transcript selection with deterministic silence snapping for exact timecode cuts.
How Passcut achieves frame accuracy with AI
Passcut’s hybrid editing engine pairs Apple Foundation Models for transcript text selection with a deterministic C/Swift audio engine that snaps cut boundaries to silence intervals and video frame edges.
This architecture prevents the cut drift, clipped audio syllables, and frame misalignments inherent in pure generative AI video tools.
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#Frequently Asked Questions
Why can't language models generate timecodes directly?
Language models generate text probabilistically and hallucinate mathematical timecode offsets. Passcut uses LLMs only for text selection, using a deterministic engine for exact cut calculations.
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Passcut is currently in pre-launch. Join the waitlist to receive early access as soon as the native macOS build is ready.
Requires macOS 26 or later and Apple Silicon. No cloud processing, zero spam.