Transcribes audio and video files to text using pluggable ASR backends. Default backend is local whisper CLI (openai-whisper). Supports whisperX (with diarization), insanely-fast-whisper, faster-whisper, whisper.cpp, OpenAI Whisper API, Groq Whisper API, Deepgram, AssemblyAI, Gemini, and Hugging Face models. Handles very long files (1-8+ hours) by preprocessing with ffmpeg: extracts audio from video, converts to optimal ASR format, detects and skips silence, and chunks for API size limits. Supports speaker diarization, word-level timestamps, custom vocabulary, and multiple output formats. Use this skill when someone says "transcribe this", "convert to text", "speech to text", "get the transcript", "transcribe this video/audio/podcast/recording", or provides a media file and wants text output.
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryContent & writingStars0
About this skill
Transcribes audio and video files to text using pluggable ASR backends. Default backend is local whisper CLI (openai-whisper). Supports whisperX (with diarization), insanely-fast-whisper, faster-whisper, whisper.cpp, OpenAI Whisper API, Groq Whisper API, Deepgram, AssemblyAI, Gemini, and Hugging Face models. Handles very long files (1-8+ hours) by preprocessing with ffmpeg: extracts audio from video, converts to optimal ASR format, detects and skips silence, and chunks for API size limits. Supports speaker diarization, word-level timestamps, custom vocabulary, and multiple output formats. Use this skill when someone says "transcribe this", "convert to text", "speech to text", "get the transcript", "transcribe this video/audio/podcast/recording", or provides a media file and wants text output.
Quick start
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Transcribes audio and video files to text using pluggable ASR backends. Default backend is local whisper CLI (openai-whisper). Supports whisperX (with diarization), insanely-fast-whisper, faster-whisper, whisper.cpp, OpenAI Whisper API, Groq Whisper API, Deepgram, AssemblyAI, Gemini, and Hugging Face models. Handles very long files (1-8+ hours) by preprocessing with ffmpeg: extracts audio from video, converts to optimal ASR format, detects and skips silence, and chunks for API size limits. Supports speaker diarization, word-level timestamps, custom vocabulary, and multiple output formats. Use this skill when someone says "transcribe this", "convert to text", "speech to text", "get the transcript", "transcribe this video/audio/podcast/recording", or provides a media file and wants text output.
About this listing
Category
Content & writing
Reported license
Not specified
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLI