cut-video

Remove silences, ums, fillers and dead air from videos using FFmpeg and Montreal Forced Aligner for precision timing and rendering.

87|15|Updated May 15, 2026

Search Tags:#audio processing #video trimming #laughter preservation #dead air removal #audio clarity

Ready to run

npx skills add https://github.com/louisedesadeleer/cut-video --skill cut-video

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: cut-video
Source: https://github.com/louisedesadeleer/cut-video/tree/main
Command: npx skills add https://github.com/louisedesadeleer/cut-video --skill cut-video

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires ffmpeg, montreal-forced-aligner, whisper, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill removes silences, ums, fillers, and dead air from videos, resulting in tighter cuts and improved audio clarity.

Core Features & Use Cases

Silence Removal: Aggressively remove silences, ums, fillers, and dead air while preserving laughs and comedic pauses.
Audio Clarity: Improve audio quality by eliminating unnecessary noise.
Use Case: Trim a long-form recording to focus on key moments and enhance the overall flow of the content.

Quick Start

Use the /cut-video command in Claude Code and provide a video file path when prompted.

Frequently Asked Questions about cut-video

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I remove silences and filler words from a long-form video recording?▼

To remove silences and fillers from a long-form video recording, this Skill utilizes Montreal Forced Aligner for precision timing and ffmpeg for rendering. It aggressively cuts dead air while preserving laughs and meaningful comedic pauses to enhance audio clarity.

How does Montreal Forced Aligner work for video trimming and dead air removal?▼

Montreal Forced Aligner provides precision timing for video trimming, enabling accurate detection of silences, ums, and fillers. By mapping audio segments exactly, it ensures tight cuts while preserving meaningful comedic pauses during the rendering process.

Can ffmpeg automatically trim dead air while preserving laughter in audio post-processing?▼

Yes, ffmpeg renders the final output by trimming dead air while preserving laughter in audio post-processing. Combined with Whisper for speech recognition, the workflow identifies and removes unnecessary noise without cutting important comedic timing.

Do I need Whisper and Montreal Forced Aligner to edit silences out of a video?▼

Yes, Whisper and Montreal Forced Aligner are required dependencies for precision timing and audio clarity. Whisper handles speech recognition while the aligner maps exact timestamps, allowing ffmpeg to render the trimmed video with silences and fillers removed.

What is the best way to trim long-form recordings for tighter cuts and audio clarity?▼

The best way to trim long-form recordings for tighter cuts and audio clarity is applying an automated pipeline using Whisper, Montreal Forced Aligner, and ffmpeg. This approach removes silences and dead air while preserving laughs and meaningful content.