Turn audio or video into accurate text in minutes. Free, no account needed β 3 files a day, up to 30 minutes each. Export TXT, SRT, VTT. Files deleted after 24 hours.
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Maker
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Hey PH, continuing the streak, now bring you this beast. Need some audio or video to text? Got ya covered! Let me know what ya think.
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How well does it handle background noise or overlapping speakers, and is there any limit on supported languages beyond just transcription accuracy?
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@havvaq6abΒ Whisper-large-v3 degrades gracefully on noise, muffled or windy recordings come out with more errors but still readable, and only fully masked speech is lost. Overlapping speech is the true weak spot: the model transcribes one dominant voice, and diarization (paid) only labels who spoke each turn, it can't untangle people talking at once. And regarding language limits beyond accuracy: Yes, Whisper has a hard set of ~99 languages, and audio outside it produces confident garbage rather than an error; mixed-language speech also gets forced into one language per segment. Our own dropdown additionally only pins 19 languages, so the other ~80 are reachable via auto-detect only.
How well does it handle background noise or overlapping speakers, and is there any limit on supported languages beyond just transcription accuracy?
@havvaq6abΒ Whisper-large-v3 degrades gracefully on noise, muffled or windy recordings come out with more errors but still readable, and only fully masked speech is lost. Overlapping speech is the true weak spot: the model transcribes one dominant voice, and diarization (paid) only labels who spoke each turn, it can't untangle people talking at once. And regarding language limits beyond accuracy: Yes, Whisper has a hard set of ~99 languages, and audio outside it produces confident garbage rather than an error; mixed-language speech also gets forced into one language per segment. Our own dropdown additionally only pins 19 languages, so the other ~80 are reachable via auto-detect only.