01Phase 01
Acoustic Boundary Scanner
Sliding-window RMS analysis isolates quiet pauses exceeding your threshold, identifying natural boundaries between spoken sentences and takes.
Split Audio by Silence into Separate Takes
Split long voice recordings into separate takes automatically by silence gaps. Download numbered takes bundled in a streaming PKZIP archive.
Split Audio by Silence into Separate Takes
Ready for a local audio or video file
Local Browser Audio Engine
Scanning speech & quiet pauses…
Reading media and computing RMS energy…
1Reading file
2Decoding audio
3Scanning quiet
4Building map
Loudness:-16.0 LUFS
Peak:-1.0 dBFS
0:00 savedPacing Preset
Speech cushionsFine-tune detection parameters
Balanced
Balanced (~-38dB): Calibrated natural balance recommended for podcasts, YouTube videos, and dialogue.
0.80s
0.20s (all micro-pauses)2.50s (only long pauses)
0.32s
0.00s (flush / jump)0.80s (spacious)
Automatically removes silence before first speech and after last speech.
Pause #01✂️ Cut Proposed
00:14.2 → 00:16.8 (2.6s gap)
1.6s quiet gap; keeps 0.32s breathing room.
Tip: Press Del or Backspace to cut selected silenceR to keep
Silence Map (0)
0 silences found (0.0s dead air) · 0 will be cut, 0 kept
Target ScopeAll Clips
All edits reversible
Studio DSP & Ambience Rack
Real-Time DSP✨
1-Click Full Background Noise Removal
Removes 80Hz rumble, 50/60Hz hum, room hiss & mouth clicks
Anti-Blackout
Fills shortened silence gaps with authentic room tone synthesized from your recording, eliminating unnatural "vacuum dropouts".
Butterworth
-40 dBFS
+2.5dB Clarity
Sibilance
Cubic Spline
-1.0 dBFS
Subtitle Range Protection
Protect Intentional Sentences & Pauses
Importing your subtitle transcript locks dialogue boundaries so dramatic reflections and deliberate speech pauses inside sentences are never auto-cut.
No subtitles loaded
Hesitation Splicer (Fillers & Stutters)
Removes verbal hesitation sounds (um, uh, er, like) and repeated stutters.
0 fillers0 stutters
Merged with acoustic cuts
A/V Dual-System Sync
Drift ConformerEdit Evidence & Provenance
Manifest v1.0Total Proposals
0
Active Cuts
0
Restored Pauses
0
Protected Lines
0
Structural Export Validation:
✔ Zero server uploads (100% Client-Side)
✔ True-Peak Limiter ceiling ≤ -1.0 dBFS
✔ Duration conservation verified (Δ ≤ 5ms)
✔ 8ms anti-click zero-crossing micro-fades
Media Preflight & Capabilities
Source Format:Audio Track
Sample Rate:44.1 kHz
Channels:Stereo (2-ch)
Memory Footprint:~12 MB RAM
Local Processing:100% Client-Side
Verified Export Options:
- ✔ 16-Bit PCM WAV: Uncompressed lossless master audio.
- ✔ Audacity Labels: Drag-and-drop label track for Audacity / Reaper.
- ✔ CSV Cue Sheet: Tabular marker list with exact timestamps.
- ✔ EDL / FCPXML: Timeline cut lists: EDL for Premiere & Resolve, FCPXML for Final Cut & Resolve.
- ✔ Evidence Manifest: JSON & CSV audit trail with a CRC-32 source checksum.
Episode Show Notes
Silence #01 detected (00:04.4 → 00:05.0)
🎬Sequence Track1 clip
Pause Map & Timeline
Click / drag to scrub0:000:00
✨
✨ Cleaning Noise...Background Noise Remover
Multi-band spectral Wiener filtering & room rumble removal
Strong (75%)
0% (Off)50% (Balanced)100% (Studio Max)
Space Play/Pause · Del Trim · R Keep · J/L Jump 2sDouble-click waveform to trim
Lossless 16-Bit Master Audio & Edit Ledger Export
Rendered locally in browser memory with 8ms anti-click micro-fades. Zero server upload.
Detected from video
Chain in Studio FlowTimeline 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.
✨ Hover any tool icon to see what it does · Click to launch
100% browser-local processing · Instant client-side ZIP packaging
Acoustic Splitting Guide · Architecture
How automated silence take slicing works in browser memory
Instead of manually clicking between markers in a DAW and running batch export macros, AutoSilenceCut segments dialogue in memory with zero quality loss.
02Phase 02
Zero-Crossing Cushion Snapper
Adds protective pre-speech and post-speech breathing margins with 8ms linear micro-crossfades to eliminate start/end click artifacts.
03Phase 03
Streaming PKZIP & WAV Stream
Encodes each slice into studio-grade 16-bit PCM WAV and packs them into a single structured ZIP archive with a timestamped CSV ledger.
Designed for high-volume audio workflows
Ideal for voice actors, audio engineers, e-learning creators, and sample designers.
Voiceover Multi-Take Sessions
Record 50 lines in a single continuous session, then export cleanly cut, sequentially numbered takes in seconds.
E-Learning Glossary Terms
Quickly slice thousands of pronunciation prompts or course definitions without repetitive DAW cut-and-paste.
Audio Sample & Stem Slicing
Auto-slice drum loops, Foley recordings, or sound effect stems separated by quiet intervals with pristine 16-bit fidelity.
Connected finishing workflows
Explore companion utilities for dialogue cleanup, speech pacing, and mastering.
Audio Standards & Research
Engineering guides & deep-dive workflows
Explore the acoustic principles, speech segmenting algorithms, and silence detection settings.
Take Preparation6 min read
How to Split Audio at Silence: A Practical Take-Preparation Workflow
Step-by-step preparation from master backup to threshold calibration, waveform boundary inspection, and batch take export.
Take Splitting6 min read
How to Turn a Long Recording Into Separate Takes Using Silence
Automate take splitting using silence thresholds (1.2s–2.0s). How to review slice boundaries, prevent false cuts, and batch export ZIP archives.
Preset Selection6 min read
How to Choose Silence Detection Settings for Voiceovers, Lessons and Interviews
A scenario-driven calibration matrix comparing tight pacing (0.15s cushion), natural pacing (0.32s cushion), and relaxed lecture pacing.
Frequently asked questions
Everything you need to know about splitting audio by silence and client-side ZIP packaging.
How does the online audio splitter divide tracks by silence?+
The engine scans your audio buffer locally using RMS energy detection to find pause boundaries exceeding your minimum gap threshold. It automatically inverts the silence intervals to slice the continuous recording into discrete, numbered speech takes (Take 001, Take 002, etc.) and bundles them into a downloadable ZIP archive.
How are the sliced audio files named and organized?+
Each sliced file is encoded into an uncompressed, lossless 16-bit PCM WAV file named sequentially (e.g., take_001.wav, take_002.wav). The ZIP bundle also contains a manifest.csv file with exact start times, end times, and durations for each take.
Does splitting audio by silence clip the first consonant or breath?+
No. AutoSilenceCut automatically preserves configurable 50ms pre-speech and post-speech cushions and applies 8ms zero-crossing micro-fades at every slice boundary. This ensures attack transients like "p", "t", and "s" are never clipped.
Is there a limit on how many sliced audio files can be exported?+
There is no artificial limit. Because all slicing and PKZIP packaging execute locally inside browser memory in pure TypeScript, you can slice sessions containing dozens or hundreds of lines in under a second.
Are my audio recordings or voiceover takes uploaded to any server?+
No. 100% of the decoding, silence scanning, WAV encoding, and ZIP archive creation happens on your local device. Your files never leave your computer, making it fully compliant with strict client NDAs and confidential commercial projects.
Workflow Mesh
Complementary Take Slicing & Organizing Tools
Slice recordings into takes, prune bad takes, and join masters seamlessly.