media-audio-segments

Transcribe audio files into text segments with start and end timestamps.

19|14|Updated Feb 4, 2026

Search Tags:#subtitles #transcription #timing #audio #segmentation #video editing

Ready to run

npx skills add https://github.com/X-School-Academy/skill-pilot --skill media-audio-segments

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: media-audio-segments
Source: https://github.com/X-School-Academy/skill-pilot/tree/main/core/skills/system/media-audio-segments
Command: npx skills add https://github.com/X-School-Academy/skill-pilot --skill media-audio-segments

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This tool helps AI agents understand the timing and structure of audio content, enabling precise scene transitions and synchronization with visual elements.

Core Features & Use Cases

Audio Transcription: Converts spoken audio into text with accurate timestamps.
Segment Identification: Divides audio into meaningful segments based on speech pauses and natural breaks.
Use Case: Automatically split a podcast episode into chapters based on topic shifts identified by pauses in speech, with each chapter including its start and end times.

Quick Start

Transcribe the audio file provided and return segments with timing information.

Frequently Asked Questions about media-audio-segments

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

FAQPage Schema

How do I transcribe audio files into text segments with precise start and end timestamps?▼

To transcribe audio files into text segments with precise start and end timestamps, this tool processes spoken audio and divides it into meaningful segments based on natural speech pauses. It outputs structured text with accurate timing data for synchronization tasks.

Can I generate subtitles and captions automatically from an audio track?▼

Yes, you can generate subtitles and captions automatically. The tool transcribes the spoken audio into text segments and provides accurate start and end timestamps, which facilitates direct caption generation and audio-visual synchronization for video editing.

How do I split a podcast episode into chapters with start and end times?▼

You can split a podcast episode into chapters by transcribing the audio to identify natural pauses and topic shifts. The tool outputs text segments with precise start and end times, enabling automatic chapter generation based on speech breaks.

Does the transcription tool support multiple audio formats and languages?▼

The transcription tool supports multiple audio formats and language-specific transcription. It processes various audio inputs to generate timestamped text segments, and includes optional FP16 precision to optimize transcription performance.

What is the best way to get scene timings for video editing?▼

The best way to get scene timings for video editing is to transcribe the audio track. The tool identifies meaningful audio segments based on speech pauses, providing precise start and end timestamps to enable accurate scene transitions and visual synchronization.

Do I need FP16 precision for audio transcription and segmentation?▼

You do not need FP16 precision for audio transcription, but it is an optional feature for performance optimization. Enabling FP16 precision can accelerate the transcription of audio files into timestamped text segments, particularly for longer recordings.