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Whisper テロップ生成スキル

Generate SRT subtitle files from audio using OpenAI Whisper transcription.

Updated Aug 23, 2026
Search Tags:#video#subtitles#transcription#whisper#audio processing#srt
One-click install
npx skills add https://github.com/wearemssatoshi/talent-intelligence-calculator2 --skill whisper-wearemssatoshi
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Whisper テロップ生成スキル
Source: https://github.com/wearemssatoshi/talent-intelligence-calculator2/tree/main/.agent/skills/whisper-telop
Command: npx skills add https://github.com/wearemssatoshi/talent-intelligence-calculator2 --skill whisper-wearemssatoshi

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the creation of subtitle files (SRT) from audio or video files, streamlining the process of adding captions to content.

Core Features & Use Cases

  • Automatic Transcription: Utilizes OpenAI Whisper to transcribe spoken words from audio files with word-level timestamps.
  • SRT Formatting: Converts the transcription data into a properly formatted SRT file suitable for video editing and accessibility.
  • Quality Control: Includes guidelines for subtitle line length and line breaks to ensure readability.
  • Use Case: Quickly generate accurate subtitles for YouTube videos, training materials, or any media content requiring captions.

Quick Start

Use the whisper-telop skill to generate an SRT file from the audio file 'meeting_recording.mp3'.

Frequently Asked Questions about Whisper テロップ生成スキル

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

FAQPage Schema
How do I generate SRT subtitles from an audio file?▼

Generating SRT subtitles from audio requires transcribing speech to extract word-level timestamps, then applying formatting rules for line length and breaks using a Python script to produce the final SRT file.

What do I need to transcribe audio and format SRT files?▼

Transcribing audio and formatting SRT files requires a Python 3 environment, the Whisper CLI for speech transcription, and the format_srt.py script to apply subtitle line length and break rules.

Can I add captions to a video using OpenAI Whisper?▼

Yes, adding captions to a video using OpenAI Whisper involves transcribing the audio track to generate an SRT file, which is suitable for video editing and accessibility in media content.

How does word-level timestamp extraction work for subtitle generation?▼

Word-level timestamp extraction for subtitle generation works by transcribing spoken words with precise timings, allowing a formatting script to apply line length rules and generate readable SRT subtitle blocks.

What is the best way to format SRT files for video editing?▼

The best way to format SRT files for video editing is to use a Python script that processes word-level transcription timestamps and applies specific line length and break guidelines to ensure subtitle readability.

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