super-transcribe
CommunityAuto-route speech-to-text with two backends.
Content & Communication#automation#workflow#translation#subtitles#transcription#speech-to-text#diarization
AuthorThePlasmak
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a single entry point for converting speech to text by automatically selecting the best backend (Parakeet or faster-whisper) and lazily loading dependencies on first use, simplifying setup and improving transcription performance.
Core Features & Use Cases
- Unified transcription with automatic routing to the optimal backend for speed and accuracy.
- Output formats include text, json, srt, vtt, ass, lrc, ttml, csv, tsv, html; supports diarization and translation.
- Use cases include meeting transcripts, podcast subtitling, and multi-language transcription with speaker labeling.
Quick Start
Run a transcription with a single command to generate a transcript using the best available backend.
Dependency Matrix
Required Modules
faster-whispernemo_toolkitpyannote.audiotorchtorchaudioomegaconflangdetectyt-dlp
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: super-transcribe Download link: https://github.com/ThePlasmak/super-transcribe/archive/main.zip#super-transcribe Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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