Kineflow
Edit a talking-head video by deleting words from its transcript, and the matching cuts happen on the timeline.

Current status
Early transcript-driven video editor prototype; its text-to-clip cutting workflow now runs in the Video Studio.
Overview
Browser-based video editor where deleting a sentence in the spoken transcript automatically cuts the matching clip on the video timeline—paired with one-click silence and retake removal.
Why it was built
Cutting talking-head videos, interviews, and podcasts in traditional timeline editors takes hours of zooming in on audio waveforms to snip out pauses and stumbled lines.
Why it helps
Lets you edit a video as easily as editing a document while keeping full control over a multi-track timeline, audio waveforms, and color presets.
What you can do
- Automatic silence, pause, and repeated-take detection for talking-head recordings
- Two-way synced transcript and multi-track video timeline in the browser
- Interactive audio waveform scrubbing and one-click color grading presets
- Automated checks on timeline cuts and export accuracy
Two-Way Transcript-Synced Browser NLE & Automated Silence/Retake Cutter
Edit talking-head videos, interviews, and podcasts by deleting words or sentences in the time-aligned transcript while maintaining full multi-track timeline and waveform control.
Bi-Directional Text-to-Clip Ripple Editing
Maps every spoken word token to exact source media timestamps so highlighting and deleting text automatically slices and ripple-deletes the matching video and audio segments.
One-Click Silence, Filler Pause & Retake Detection
Scans audio amplitude envelopes and transcript repetitions to flag dead air and stumbled takes for instant batch removal without manual waveform scrubbing.
Multi-Track Timeline, Waveform Scrubbing & LUT Presets
Renders interactive audio waveforms, split edits, B-roll overlays, and one-click color grading presets directly in the browser.
Unified Export into Local WebCodecs & SRT Search
Feeds cut lists and aligned subtitle tracks directly into the Video Studio local transcode and frame-export pipeline.
Transcript-driven ripple cuts & dead-air stripping vs. manual waveform razor editing
Editing talking-head videos in traditional timeline editors requires hours of zooming into waveforms to slice out 'um' pauses and repeated takes.
// Manual waveform razor workflow
1. Zoom timeline to 400% 2. Scrub audio for pause 3. Razor In/Out
4. Ripple delete gap 5. Repeat 80 times across a 30-minute interviewKineflow links every transcript word token to frame boundaries so deleting a sentence automatically ripple-cuts the timeline while keeping full multi-track waveform control.
// Kineflow Two-Way Transcript <-> Timeline Sync
deleteTranscriptSpan(wordStartIdx, wordEndIdx) -> rippleCutTimeline(tIn, tOut)
stripDeadAir({ minSilenceMs: 450, padMs: 80 }) -> 42 pauses removed in 1 click0.7675 → 0.9425 (+0.175 · Sharpness +51.6% · PSNR 44.37 dB)Negation parity & evidence verifiedInteractive walkthrough
Step through how Kineflow works without creating an account or installing local dependencies.
Entry & problem context
Maturity: In active developmentCutting talking-head videos, interviews, and podcasts in traditional timeline editors takes hours of zooming in on audio waveforms to snip out pauses and stumbled lines.
Browser-based video editor where deleting a sentence in the spoken transcript automatically cuts the matching clip on the video timeline—paired with one-click silence and retake removal.
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