Transcribe audio or video into SRT/VTT subtitles with word timestamps.
npx skills add https://github.com/damionrashford/media-os --skill media-whisper
Please help me install this Agent Skill. Skill: media-whisper Source: https://github.com/damionrashford/media-os/tree/main/skills/media-whisper Command: npx skills add https://github.com/damionrashford/media-os --skill media-whisper
This skill automates the transcription of audio or video content and the generation of SRT/VTT subtitles, enabling accessible transcripts, captions, and searchable media libraries.
Transcribe input audio or video to SRT, with optional translation to English.
High-intent search queries and answers about installing and using this skill.
To transcribe audio to SRT subtitles with word-level timestamps, you can use Whisper AI backends like whisper.cpp or faster-whisper, which process podcasts or films and output accurate VTT or SRT caption files.
Yes, you can generate searchable transcripts for multilingual media and translate non-English speech to English, allowing you to create accessible captions and searchable libraries from diverse international audio or video sources.
Yes, faster-whisper supports optional speaker diarization for multi-person interviews, allowing the transcription process to identify and separate distinct speakers within conversations, podcasts, and films automatically.
The best way to convert video content into SRT or VTT caption files is using Whisper AI transcription, which directly processes video inputs to generate accessible subtitles and searchable text transcripts for media libraries.
Yes, ctranslate2 is a required dependency to transcribe podcasts with faster-whisper, providing the underlying backend engine needed to run the Whisper AI speech recognition and subtitle generation processes efficiently.
You should choose between whisper.cpp and faster-whisper for transcription based on your environment setup; both serve as backends to generate SRT subtitles and transcripts, with faster-whisper relying on ctranslate2 for processing.
dislerExtracts audio, converts video to MP4 or WebM, and transcribes with Whisper via Python CLI.
hmzainjamilConvert audio and video recordings into transcripts, subtitles, and meeting notes.
fikriafTranscribe speech to text with speaker diarization and multilingual support.
DbillionaerTranscribes and translates audio files locally using the Whisper CLI.
