1. Acoustic RMS & Transcript Scan
Scans raw video or audio tracks for quiet speech intervals and aligns subtitle tokens to identify hesitation filler words simultaneously.
Eliminate awkward pauses, hesitation sounds, and false starts in one pass. Create fast, dynamic rough cuts for YouTube videos and podcasts with calibrated speech pacing.
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.
Scans raw video or audio tracks for quiet speech intervals and aligns subtitle tokens to identify hesitation filler words simultaneously.
Generates a unified cut matrix combining dead air, 'um' / 'uh' vocal fillers, and repeated-word stutters with adjustable 0.08s–0.32s cushions.
Audition the clean cut directly in your browser or export CMX 3600 EDL and XML marker files to finish editing in Premiere Pro, DaVinci Resolve, or Final Cut Pro.
Explore companion utilities for dialogue cleanup, speech pacing, and mastering.
Explore the acoustic principles, ITU-R loudness standards, and pacing techniques behind this tool.
Eliminating the "jump-cut shock": combining 1.15x punch-in camera zooms with 8ms equal-power audio micro-fades and 0.32s speech cushions.
Automating retake pruning with n-gram phrase clustering, detecting verbal restart signals, keeping winning takes, and preserving natural sentence flow.
How text-based timeline engines map subtitle tokens to video frame boundaries, preserve sentence structures, and export NLE timelines.
Common Questions & Technical Clarifications
Traditional silence removers only detect volume drops. AutoSilenceCut's Smart Cut engine combines acoustic RMS energy scanning with word-level transcript analysis to identify both silent dead air and verbal filler sounds ('um', 'uh', 'you know', repeated stutters) in a single unified cut matrix.
Instead of hard-cutting the exact millisecond speech stops, AutoSilenceCut preserves a calibrated speech cushion (0.32s in Natural mode, 0.15s in Tight mode, 0.08s for filler words) to retain natural breathing decays and consonant tail harmonics.
Yes. In addition to exporting rendered audio directly in uncompressed 16-bit PCM WAV format, you can download CMX 3600 EDL, Final Cut Pro XML, and Audacity label tracks to import your cuts non-destructively into your NLE timeline.
No watermark. AutoSilenceCut is 100% free with no subscription paywalls; source files can be up to 1 GB on desktop (250 MB on mobile).
No. All media decoding, waveform analysis, and rough-cut slicing execute 100% locally in your web browser memory.