Voice and audio

Turn recordings into accurate text, label who spoke, read text aloud in a natural voice, and split a finished mix back into its parts.

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What do you need to do?

Transcribe audio Recordings into accurate, timestamped text. Identify speakers Who said what, through a whole meeting. Generate narration Text read aloud in a natural voice. Subtitles Timed caption files for an edit. Translate speech Foreign language audio into English text. Separate a mix Vocals, drums, and dialogue pulled apart.

Models for this work

All categories
Popular Whisper large-v3 Turns speech into accurate text, in about a hundred languages. from $0.45/hr about 2 minutes per hour of audio pyannote speaker diarization Works out who spoke when, so a transcript can be labelled by person. from $0.22/hr about 2 minutes per hour of audio Fastest Kokoro TTS Reads text aloud in a natural voice, very quickly and very cheaply. from $0.22/hr about 1 second per minute of narration Demucs Splits a finished recording back into vocals, drums, bass, and everything else. from $0.45/hr about 8 seconds per minute of audio

Which one should I pick?

ModelBest forQualitySpeedPrice
Whisper large-v3 Any job that turns recorded speech into text Excellent Very fast $0.45/hr
pyannote speaker diarization Adding speaker labels to a transcript Very good Very fast $0.22/hr
Kokoro TTS Narration and voiceover at volume, for almost nothing Very good Very fast $0.22/hr
Demucs Pulling one sound out of a mix that was never separate Excellent Fast $0.45/hr

Prices are the hourly rate for the hardware we recommend for each model, billed by the minute. Every model page has a calculator that turns that into a total for your job.

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You will never get a surprise bill.

  • A hard spend cap. New accounts start at $25. Nothing starts that would go past it.
  • Auto-shutoff when idle. Sessions stop after 15 minutes, with a warning at 12.
  • A live cost meter. Spent so far and budget left, on screen the whole time.
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Questions people ask

How accurate is the transcription?

On clear recorded speech in English, Whisper large-v3 typically gets 95% to 98% of words right, which is close to a professional human transcriber. Accuracy drops on heavy background noise, strong crosstalk, and specialist vocabulary such as drug names or company jargon. It handles accents well. Expect to proofread technical terms and proper nouns, not the general text.

How much does it cost to transcribe 40 hours of audio?

About $0.60. Whisper transcribes an hour of audio in roughly 2 minutes on an RTX 4090 at $0.45 per hour, so 40 hours takes around 80 minutes of GPU time. Commercial transcription services charge $0.25 to $1.50 per minute of audio, which puts the same job between $600 and $3,600.

Will it tell me who is speaking?

Yes, if you ask for it. Whisper writes down the words but does not separate speakers on its own. Tick "identify speakers" on the transcription preset and we run pyannote alongside it, which labels each segment as Speaker 1, Speaker 2 and so on with timestamps. You attach real names afterwards. It costs a few cents more and roughly a minute per hour of audio.

What languages does it handle?

Around a hundred, and it works out which one it is hearing without being told. Accuracy is highest in English, Spanish, Italian, German, Japanese, and Portuguese, and falls off for languages with less recorded material available. It will also translate as it transcribes, so a French interview can come back as English text in a single pass at no extra cost.

Can I use the generated voices commercially?

Yes. Kokoro is Apache 2.0 licensed, and there are no restrictions on selling or publishing the audio it produces. Whisper and Demucs are likewise permissive. Note that Kokoro is not a voice cloning tool and will not reproduce a specific person, which is deliberate.

What file formats can I upload?

Any common audio or video file. MP3, WAV, M4A, FLAC, MP4, MOV, and MKV all work, and we pull the audio out of video files for you. There is no need to convert anything first. For the best accuracy, upload the original recording rather than a heavily compressed copy, since compression removes exactly the detail the model uses.

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