speech-transcribe3x Faster than Whisper, Speech-to-text transcription with sentence-level timestamps on remote (FREE) L4 GPU. Trigger when user says: transcribe, speech to te...
Install via ClawdBot CLI:
clawdbot install speech2srt/speech-transcribeGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated May 11, 2026
Students and educators can transcribe recorded lectures into text and subtitles. The system processes audio/video files from local directories and returns .txt and .srt files, enabling easy review and accessibility.
Podcasters can quickly generate transcripts and subtitles for episodes. The pipeline supports multiple file formats and provides sentence-level timestamps, streamlining content repurposing and SEO.
Corporate teams can transcribe recorded meetings to text, facilitating note-taking and archiving. The free GPU accelerates processing, making it cost-effective for regular use.
Content creators can generate subtitles for videos to comply with accessibility standards. The .srt output integrates seamlessly with video editing software to add captions.
Researchers can transcribe interviews from audio recordings, with options to choose model size for accuracy vs. speed. The system preserves original file structure for organized archives.
Offer free transcription up to a certain number of minutes per month using the free GPU, then charge for additional usage or premium model access (e.g., faster turnaround, larger files).
Integrate the transcription pipeline into enterprise platforms (e.g., Zoom, Teams) as an add-on. Charge per workspace or per API call, targeting businesses needing bulk transcription.
Provide the transcription model as a white-label API for other apps. Developers embed the service and pay per usage, while the provider handles infrastructure.
💬 Integration Tip
Ensure Python 3.9+ and Modal CLI are set up before first use. The skill automatically handles file uploads and downloads, so just provide local paths and a slug.
Scored Jul 14, 2026
Local speech-to-text with the Whisper CLI (no API key).
Transcribe audio files with speaker diarization (who speaks when). Supports 100+ languages, automatic language detection, and timestamps. Use for meetings, interviews, podcasts, or voice messages. Requires AssemblyAI API key.
Search and manage Spotify playlists, tracks, albums, artists, and playback state via the Spotify Web API. Use this skill when users want to search for music,...
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Transcribe long audio files safely on 16GB RAM machines using auto-chunking with Whisper’s base model and seamless transcript merging.
Use when the user has audio or video and wants a timestamped transcript (SRT) in the source language. Routes by source language — Chinese defaults to Volcano...