1. Token & N-Gram Phrase Clustering
Import your audio/video and subtitle transcript (.srt / .vtt). The engine analyzes consecutive spoken sentences, extracting 2-gram token shingles and measuring phrase similarity to cluster repeated takes.
Eliminate repeated sentences, stumble outtakes, and false starts in video and audio recordings. AutoSilenceCut scans word n-grams and verbal restart markers ('wait', 'sorry', 'let me re-say', 'take two'), isolates superseded takes, and splices your dialogue into a flawless final cut with calibrated speech cushions.
Ready for a local audio or video file
Reading media and computing RMS energy…
Balanced (~-38dB): Calibrated natural balance recommended for podcasts, YouTube videos, and dialogue.
Automatically removes silence before first speech and after last speech.
00:14.2 → 00:16.8 (2.6s gap)
1.6s quiet gap; keeps 0.32s breathing room.
0 silences found (0.0s dead air) · 0 will be cut, 0 kept
Removes 80Hz rumble, 50/60Hz hum, room hiss & mouth clicks
Fills shortened silence gaps with authentic room tone synthesized from your recording, eliminating unnatural "vacuum dropouts".
Protect Intentional Sentences & Pauses
Importing your subtitle transcript locks dialogue boundaries so dramatic reflections and deliberate speech pauses inside sentences are never auto-cut.
Removes verbal hesitation sounds (um, uh, er, like) and repeated stutters.
Total Proposals
0
Active Cuts
0
Restored Pauses
0
Protected Lines
0
Structural Export Validation:
Verified Export Options:
Multi-band spectral Wiener filtering & room rumble removal
Lossless 16-Bit Master Audio & Edit Ledger Export
Rendered locally in browser memory with 8ms anti-click micro-fades. Zero server upload.
Timeline files reference your media by file name only. Final Cut Pro, DaVinci Resolve or Premiere Pro will ask you to relink the clip to the original file.
100% browser-local processing · No files uploaded to any server
How this tool decodes, analyzes, and masters your dialogue locally with zero cloud latency.
Import your audio/video and subtitle transcript (.srt / .vtt). The engine analyzes consecutive spoken sentences, extracting 2-gram token shingles and measuring phrase similarity to cluster repeated takes.
The 'Last Take Wins' heuristic flags earlier stumbling attempts while verifying explicit failure markers ('let me start over', 'scratch that'). Rhetorical repetitions without pause (Epizeuxis) are safeguarded from deletion.
Audition the cut flub vs. the winning keeper take directly in the timeline. Toggle decisions with 1-click and export lossless 16-bit PCM WAV, updated SRT/VTT captions, Audacity markers, or EDL/FCPXML timeline cuts.
Explore companion utilities for dialogue cleanup, speech pacing, and mastering.
Automate silence removal and A-roll rough assembly for fast YouTube video production.
Identify and review verbal crutches ('um', 'uh', 'like') with timestamped word tokens.
Sync, map, and export WebVTT & SubRip SRT subtitle tracks with zero cloud uploads.
Explore the acoustic principles, ITU-R loudness standards, and pacing techniques behind this tool.
Automating retake pruning with n-gram phrase clustering, detecting verbal restart signals, keeping winning takes, and preserving natural sentence flow.
Automate take splitting using silence thresholds (1.2s–2.0s). How to review slice boundaries, prevent false cuts, and batch export ZIP archives.
How text-based timeline engines map subtitle tokens to video frame boundaries, preserve sentence structures, and export NLE timelines.
Common Questions & Technical Clarifications
AutoSilenceCut tokenizes your spoken transcript and matches sliding word n-grams across consecutive sentences. When a speaker retries a line—either after a pause or with an explicit verbal restart marker like 'wait', 'sorry', 'let me start over', or 'take two'—the system groups the attempts into a Retake Group, marks earlier takes as discarded outtakes, and designates the final attempt as the keeper take.
AutoSilenceCut employs intelligent prosody and timing safeguards. Poetic repetitions (Epizeuxis and Anaphora like 'never, never, never' or 'faster, faster') are spoken continuously with minimal inter-word pauses (<0.35s). Real recording retakes feature distinct acoustic pauses (≥0.50s) or explicit verbal outtake markers. Continuous rhetorical emphasis is preserved while real retakes are cleanly pruned.
Yes. In the Subtitles drawer, each detected retake group features 'Hear Flub' and 'Hear Keeper' audition buttons. You can listen to both takes in isolation or within context, and restore any take with a single click or keyboard shortcut.
AutoSilenceCut provides a 100% free, private, and client-side alternative to expensive monthly cloud subscriptions ($15–$30/mo). Because processing occurs directly inside your browser's Web Audio engine, there are zero minute quotas, no cloud processing queues, no privacy risks, and no watermarks.
You can download master 16-bit PCM RIFF WAV audio, updated timestamp-synchronized WebVTT and SubRip (.srt) subtitles, Audacity label tracks (.txt), CSV edit cue sheets, CMX 3600 EDL sequences for Adobe Premiere Pro and DaVinci Resolve, and Apple Final Cut Pro XML (.fcpxml) sequences for Final Cut Pro and DaVinci Resolve.
Zero media files, audio waveforms, or transcripts are ever sent over the network. Everything executes 100% locally inside your client browser, guaranteeing full confidentiality and offline capability.