laughter-detector

Detect laughter and humorous segments in audio or video files.

Updated Jan 30, 2026

Search Tags:#transcripts #video-analysis #content-creation #audio-analysis #laughter #humor detection #clip-generation

Ready to run

npx skills add https://github.com/akrindev/trimer-clip --skill laughter-detector

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: laughter-detector
Source: https://github.com/akrindev/trimer-clip/tree/main/skills/laughter-detector
Command: npx skills add https://github.com/akrindev/trimer-clip --skill laughter-detector

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

## What problem does it solve? Detect laughter and humorous segments in audio or video to identify funny moments and audience reactions, enabling faster content creation and analysis.

## Core Features & Use Cases

Keyword-based laughter detection from transcripts to locate laughs in long-form content
Audio-feature and AI-model-based detection for robust coverage across media
Use with video clipping pipelines to assemble viral clips and analyze audience response

### Quick Start Run the laughter-detector on a video file to extract laughter segments using the preferred detection method.

Frequently Asked Questions about laughter-detector

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

FAQPage Schema

How do I detect laughter in video audio to find funny moments?▼

To detect laughter in video audio, you can use a laughter-detector to identify humorous segments and audience reactions by applying audio feature detection, AI models, or keyword-based transcript analysis.

Can I use keyword-based detection from transcripts to locate laughs in podcasts?▼

Yes, you can use keyword-based detection from transcripts to locate laughs in podcasts, enabling faster content analysis by scanning long-form conversational content for specific laughter indicators.

What's the best way to generate viral clips from comedy videos?▼

Generating viral clips from comedy videos is best achieved by detecting laughter and humorous segments, then using those identified timestamps within a video clipping pipeline to assemble the final clips.

Does laughter detection work with both audio feature analysis and AI models?▼

Yes, laughter detection works with both audio feature analysis and AI models, providing robust coverage across media formats to accurately identify audience reactions and funny moments.

Can I analyze audience sentiment across transcripts and audio for content creation?▼

You can analyze audience sentiment across transcripts and audio for content creation by detecting laughter and humorous segments, which helps locate funny moments and gauge audience response.

Do I need a video clipping pipeline to extract viral moments after detecting humor?▼

You do not need a video clipping pipeline to detect humor, but integrating laughter detection with a clipping pipeline is necessary to assemble viral clips and export the final video segments.