Transcribe local audio files into text using OpenAI Whisper.
npx skills add https://github.com/okbest2024/openclaw-backup --skill whisper-stt-okbest2024
Please help me install this Agent Skill. Skill: whisper-stt Source: https://github.com/okbest2024/openclaw-backup/tree/main/workspace/skills/whisper-stt Command: npx skills add https://github.com/okbest2024/openclaw-backup --skill whisper-stt-okbest2024
This skill enables fully offline speech-to-text transcription using OpenAI Whisper, eliminating cloud API costs and privacy concerns for local audio/video transcription needs.
Transcribe a local audio file using the transcribe.py script and choose your preferred model and output format.
High-intent search queries and answers about installing and using this skill.
Local audio transcription without cloud API costs is achieved by running the OpenAI Whisper model entirely on your device. This skill processes audio files offline, ensuring data privacy while converting speech to text.
Offline speech-to-text supports common audio formats including mp3, wav, m4a, and ogg. It exports transcribed text into json, txt, srt, and vtt formats, making it suitable for generating video subtitles and plain text transcripts.
Yes, you need openai-whisper and torch installed to perform local audio transcription. These dependencies provide the underlying machine learning framework and model required to process audio files entirely on your device.
The best way to generate SRT subtitles locally is using a Whisper-based transcription tool that operates offline. By processing the audio file with openai-whisper, you can directly export SRT formatted subtitle files without relying on external servers.
Yes, providing language hints improves transcription accuracy for audio files like mp3 and m4a. Specifying the spoken language helps the local Whisper model narrow its recognition scope, resulting in more precise text conversion.
Processing large audio files completely offline with Whisper is limited by your local hardware capabilities, specifically GPU memory and compute power. Transcription speed and file size capacity depend entirely on the torch configuration and your device resources.
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maxgent-aiTranscribe audio and video files with word-level timestamps using WhisperX.
dsactivi-2Transcribe and translate local audio files using the Whisper CLI.
Desko77Transcribe audio and video files using local and cloud speech recognition.
