Clean Audio for Transcription & ASR
Speech-to-text engines stumble on noisy audio. This tool denoises a recording specifically for transcription — clean and low-artifact so your ASR or human transcriber gets every word.
How it works
We use a low-artifact denoiser (DeepFilterNet) rather than a generative model: it removes noise without inventing detail, which is exactly what speech-recognition engines need to stay accurate.
What it's good for
- Pre-cleaning for Whisper / ASR
- Legal and medical transcription
- Meeting and interview notes
- Captioning and subtitles
Details
- Engine
- DeepFilterNet
- Formats
- MP3, WAV, M4A, FLAC, OGG, AAC, MP4, MOV
- Price
- Free to try
Frequently asked questions
Generative enhancers can hallucinate detail that confuses ASR. This uses a clean, conservative denoiser that lifts speech out of noise without adding artifacts, maximising recognition accuracy.
For transcription, no — light, clean denoising beats heavy restoration. Save voice-enhancement for listening, use this for accuracy.
Yes — a cleaner recording is faster and more accurate for human transcribers as well as machines.
No. It cleans the audio so a transcriber works better, but it does not output text itself. Pair the cleaned file with Whisper, your captioning service or a human typist to get the words.
Any of them. Because it lifts speech out of noise without inventing detail, engines like Whisper and other ASR models tend to return fewer misrecognitions on the cleaned file.
Heavy or generative enhancement can smear or invent phonemes that throw recognition off. DeepFilterNet is deliberately conservative, removing noise while leaving the speech untouched, which is what ASR accuracy depends on.
Yes. Run this cleanup first for the clearest speech, then silence removal and the filler pass to tighten pacing, so the final file is both accurate to transcribe and quick to listen to.
Common audio formats are accepted, and you get a denoised file back in a transcription-friendly format ready to feed into your ASR pipeline or send to a transcriber.