Transcribe and translate audio across 99 languages using Whisper.
npx skills add https://github.com/ChimeraFoundationa/Agentx --skill whisper-chimerafoundationa
Please help me install this Agent Skill. Skill: whisper Source: https://github.com/ChimeraFoundationa/Agentx/tree/main/skills/mlops/models/whisper Command: npx skills add https://github.com/ChimeraFoundationa/Agentx --skill whisper-chimerafoundationa
Transcribe and translate audio across 99 languages with high accuracy, enabling automated captions, transcripts, and multilingual accessibility.
Install the Whisper package and run transcription on your audio file to obtain text and timestamps.
High-intent search queries and answers about installing and using this skill.
To transcribe audio into text, install the Whisper package in Python and run it against your audio file to extract accurate speech-to-text transcripts with timestamps.
Whisper supports transcription and translation across 99 languages, identifying spoken audio and translating multilingual content directly into English text.
ffmpeg is an optional audio preprocessing tool used to format and prepare media files before running speech recognition, ensuring compatibility with the Whisper package.
Select from flexible Whisper model sizes ranging from tiny to large, allowing you to balance processing speed and transcription accuracy for on-device or server workflows.
Whisper is suitable for generating meeting notes, podcast transcripts, and video captions, handling multilingual audio processing to produce accessible text outputs.
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