Why architecture matters here

AI editing fails when it overrides the editor, hallucinates edits, or lacks undo. Architecture matters because assistive UX + provenance + versioning preserve trust.

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The architecture: every piece explained

The top strip is analysis. Source clips raw. Scene detection shot boundaries. Transcription diarized captions. Cut proposal AI suggests.

The middle row is production. Effects — color, stabilize, denoise. Timeline editor — human review. Renderer — GPU encode. Caption + audio mix.

The lower rows are safety. Provenance + watermark — mark AI-touched. Undo / versioning. Ops — quota + eval + consent.

AI video editing — scene detect + cut proposal + effect + timeline + renderassist the editor, don't replace themSource clipsraw footageScene detectionshot boundariesTranscriptiondiarized captionsCut proposalAI suggestionsEffectscolor / stabilize / denoiseTimeline editorhuman reviewRendererGPU encodeCaption + audio mixfinal polishProvenance + watermarkAI-touchedUndo / versioningeditor safetyOps — quota + eval + user consentapplyreviewencodepolishmarkversionversionoperateoperate
AI video editing assist pipeline.
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End-to-end flow

End-to-end: 30 min raw footage. Scene detection + transcription. AI proposes 15-min cut. Editor reviews + accepts 80%. Effects applied. Rendered. Captions added. Provenance metadata records AI touch. Undo available.