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Audio To SRT Converter

Community
dean9703111
Audio to SRT Converter

This skill should be used when the user asks to "convert audio to srt", "generate subtitles from audio", "create srt from mp3/wav/m4a/flac", "transcribe audio to subtitles", or needs to generate SRT subtitle files from audio files (MP3, WAV, M4A, FLAC, etc.) with customizable character limits and timeline adjustments.

Overview

Publisherdean9703111
Repositoryai-agent-skill-for-video-workflow
Skill nameAudio to SRT Converter
Stars
219
Forks
49
Bundled files
1
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by dean9703111 on GitHub. Read the source before you install it.

Installation

Install the Audio To SRT Converter AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/dean9703111/ai-agent-skill-for-video-workflow/tree/master/.agent/skills/audio-to-srt
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/dean9703111/ai-agent-skill-for-video-workflow.git /tmp/ai-agent-skill-for-video-workflow
mkdir -p .claude/skills
cp -r /tmp/ai-agent-skill-for-video-workflow/.agent/skills/audio-to-srt .claude/skills/dean9703111-audio-to-srt-converter
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Audio To SRT Converter in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Audio To SRT Converter on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Audio To SRT Converter is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Audio to SRT Converter

This skill provides a Python-based workflow for converting audio files (MP3, WAV, M4A, FLAC, etc.) into SRT subtitle files with automatic speech recognition, customizable text formatting, and timeline optimization.

Purpose

Convert audio files (MP3, WAV, M4A, FLAC, etc.) into properly formatted SRT subtitle files with:

  • Automatic speech recognition and transcription
  • Support for multiple audio formats (MP3, WAV, M4A, FLAC, and more)
  • Customizable character limits per subtitle line (default: 22 characters, minimum: 4 characters)
  • Automatic timeline gap filling (gaps < 0.3s are merged)
  • Environment and dependency validation
  • Output naming convention: origin.srt

When to Use This Skill

Use this skill when:

  • Converting audio files to subtitle format
  • Generating transcriptions with timeline information
  • Creating SRT files for video editing or accessibility
  • Processing Chinese or multilingual audio content

Core Workflow

1. Environment Validation

Before processing, validate:

  • Python 3.7+ is installed
  • Required packages are available (see Dependencies section)
  • Input MP3 file exists and is readable
  • Output directory is writable

2. Audio Transcription

Process the audio file using speech recognition:

  • Load audio file (supports MP3, WAV, M4A, FLAC, etc.)
  • Perform speech-to-text conversion
  • Extract timestamps for each segment
  • Handle silence detection and word boundaries

3. Text Formatting

Format transcribed text according to parameters:

  • Split text into lines based on character limit
  • Ensure minimum 4 characters per line
  • Respect word boundaries when possible
  • Handle Chinese character counting correctly

4. Timeline Optimization

Adjust subtitle timing:

  • Identify gaps between subtitle segments
  • Merge segments when gap < 0.3 seconds
  • Extend previous subtitle end time to next subtitle start time
  • Maintain synchronization with audio

5. SRT Generation

Create final SRT file:

  • Format according to SRT specification
  • Number subtitles sequentially
  • Use proper timestamp format (HH:MM:SS,mmm)
  • Save as origin.srt

Using the Conversion Script

The main conversion script is located at scripts/audio_to_srt.py.

Basic Usage

bash
python scripts/audio_to_srt.py <audio_file> [--max-chars MAX_CHARS]

Parameters

  • audio_file (required): Path to the input audio file (MP3, WAV, M4A, FLAC, etc.)
  • --max-chars (optional): Maximum characters per subtitle line (default: 22, minimum: 4)

Examples

See examples/usage_example.sh for complete usage examples.

Dependencies

The script requires the following Python packages:

  • openai-whisper - For speech recognition
  • pydub - For audio processing
  • ffmpeg - System dependency for audio handling

Install with:

bash
pip install openai-whisper pydub
brew install ffmpeg  # macOS

Output Format

The generated SRT file follows this format:

1
00:00:00,000 --> 00:00:03,500
這是第一行字幕

2
00:00:03,500 --> 00:00:07,200
這是第二行字幕

Additional Resources

Scripts

  • scripts/audio_to_srt.py - Main conversion script with environment validation
  • scripts/check_environment.py - Standalone environment checker

Examples

  • examples/usage_example.sh - Complete usage examples with different parameters

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Audio To SRT Converter AI skill do?

This skill should be used when the user asks to "convert audio to srt", "generate subtitles from audio", "create srt from mp3/wav/m4a/flac", "transcribe audio to subtitles", or needs to generate SRT subtitle files from audio files (MP3, WAV, M4A, FLAC, etc.) with customizable character limits and timeline adjustments.

Why use Audio To SRT Converter on TypingMind?

Because you install it once and use it with any model. Audio To SRT Converter is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Audio To SRT Converter in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dean9703111/ai-agent-skill-for-video-workflow/tree/master/.agent/skills/audio-to-srt. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Audio To SRT Converter?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Audio To SRT Converter?

As many as you like. As long as a model supports skills, you can use Audio To SRT Converter with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Audio To SRT Converter AI skill free?

It is published on GitHub by dean9703111. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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