1. Speech & Gap Analysis
Processes transcript cues and conversational segment boundaries to identify major topic transitions.
Automatically generate professional episode descriptions, bulleted key takeaways, and clickable YouTube/Spotify chapter timestamps directly from your media.
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.
Processes transcript cues and conversational segment boundaries to identify major topic transitions.
Creates an executive episode summary, key bullet points, and timestamped chapters formatted for podcast distribution.
Copy show notes to your clipboard or download a formatted .md file ready for Apple Podcasts, Spotify, and YouTube.
Explore companion utilities for dialogue cleanup, speech pacing, and mastering.
Explore the acoustic principles, ITU-R loudness standards, and pacing techniques behind this tool.
The end-to-end podcast post-production checklist: raw backup, silence triage, noise notch, saliva de-clicking, breath softening, and loudness matching.
A printable QA checklist covering track alignment, silence auditing, de-clicking, breath leveling, -16 LUFS loudness, and mono headphone verification.
How text-audio alignment works: importing SRT/VTT files, protecting enclosed pauses within sentences, and exporting synchronized subtitles.
Common Questions & Technical Clarifications
The summarizer generates structured Markdown episode summaries, including an episode title extracted from media metadata, bulleted key takeaways, silence and pacing metrics, and timestamped chapter markers formatted for YouTube, Spotify, and Apple Podcasts.
Chapter markers are derived from structural dialogue transitions, subtitle cue boundaries, and significant topical pauses, formatted cleanly as [MM:SS] Chapter Title.
Yes. The Show Notes tab provides a one-click 'Copy Markdown' button that copies clean, formatted Markdown ready to paste into Buzzsprout, Spotify for Podcasters, Libsyn, Apple Podcasts Connect, or YouTube video descriptions.
Yes. Zero podcast audio or transcript text is ever uploaded to external cloud endpoints. All summary structuring occurs locally in your browser.
Yes. You can download the lossless 16-bit WAV master audio and copy or export the Markdown show notes in the same workflow.