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docs/options.md
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# Options
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To transcribe or translate an audio file, you can either copy an URL from a website (all [websites](https://github.com/yt-dlp/yt-dlp/blob/master/supportedsites.md)
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For longer audio files (>10 minutes), it is recommended that you select Silero VAD (Voice Activity Detector) in the VAD option.
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Select the language, or leave it empty for Whisper to automatically detect it.
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Note that if the selected language and the language in the audio differs, Whisper may start to translate the audio to the selected
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## Inputs
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The options "URL (YouTube, etc.)", "Upload Audio" or "Micriphone Input" allows you to send an audio input to the model.
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Note that the UI will only process the first valid input - i.e. if you enter both an URL and upload an audio, it will only process
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## Task
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Select the task - either "transcribe" to transcribe the audio to text, or "translate" to translate it to English.
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* none
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* Run whisper on the entire audio input
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* silero-vad
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* Use Silero VAD to detect sections that contain speech, and run whisper on independently on each section. Whisper is also run
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* silero-vad-skip-gaps
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* As above, but sections that doesn't contain speech according to Silero will be skipped. This will be slightly faster, but
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* periodic-vad
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* Create sections of speech every 'VAD - Max Merge Size' seconds. This is very fast and simple, but will potentially break
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## VAD - Merge Window
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If set, any adjacent speech sections that are at most this number of seconds apart will be automatically merged.
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## VAD - Max Merge Size (s)
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Disables merging of adjacent speech sections if they are this number of seconds long.
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# Options
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To transcribe or translate an audio file, you can either copy an URL from a website (all [websites](https://github.com/yt-dlp/yt-dlp/blob/master/supportedsites.md)
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supported by YT-DLP will work, including YouTube). Otherwise, upload an audio file (choose "All Files (*.*)"
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in the file selector to select any file type, including video files) or use the microphone.
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For longer audio files (>10 minutes), it is recommended that you select Silero VAD (Voice Activity Detector) in the VAD option.
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Select the language, or leave it empty for Whisper to automatically detect it.
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Note that if the selected language and the language in the audio differs, Whisper may start to translate the audio to the selected
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language. For instance, if the audio is in English but you select Japaneese, the model may translate the audio to Japanese.
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## Inputs
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The options "URL (YouTube, etc.)", "Upload Audio" or "Micriphone Input" allows you to send an audio input to the model.
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Note that the UI will only process the first valid input - i.e. if you enter both an URL and upload an audio, it will only process
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the URL.
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## Task
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Select the task - either "transcribe" to transcribe the audio to text, or "translate" to translate it to English.
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* none
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* Run whisper on the entire audio input
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* silero-vad
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* Use Silero VAD to detect sections that contain speech, and run whisper on independently on each section. Whisper is also run
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on the gaps between each speech section.
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* silero-vad-skip-gaps
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* As above, but sections that doesn't contain speech according to Silero will be skipped. This will be slightly faster, but
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may cause dialogue to be skipped.
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* periodic-vad
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* Create sections of speech every 'VAD - Max Merge Size' seconds. This is very fast and simple, but will potentially break
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a sentence or word in two.
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## VAD - Merge Window
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If set, any adjacent speech sections that are at most this number of seconds apart will be automatically merged.
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## VAD - Max Merge Size (s)
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Disables merging of adjacent speech sections if they are this number of seconds long.
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