Clean up a voice recording
Make voice memos, voice notes, lectures and interviews clear and easy to listen to. Free, private and with no length limit.
How to use it
- Choose your recording — phone voice memos, voice notes saved from chat apps, lecture recordings or interviews.
- Background hiss, hum, fans and chatter are removed, and the voice is brought back to its original loudness.
- Listen, adjust the strength if needed, and download as MP3 to share or WAV to edit.
Recordings it is made for
Everyday recordings are made in noisy places with small microphones. That is exactly what this tool is designed to fix:
- Voice memos recorded on a phone
- Voice notes saved from WhatsApp, Telegram or Signal (OGG, OPUS, M4A)
- Lectures and classes recorded from the back of a room
- Interviews and meetings recorded on a laptop
- Sermons and talks recorded on a phone in the congregation
Easier to listen to, easier to transcribe
Clean audio is less tiring to listen to for long periods, and it is much easier for transcription tools and captioning to understand. Cleaning a recording before transcribing it often removes most of the errors.
Your recordings stay private
Voice recordings are often personal — interviews, medical notes, family messages. Because the noise removal happens on your own device, the recording is never uploaded, stored or seen by anyone else.
Frequently asked questions
Is my audio uploaded anywhere?
No. The noise remover is downloaded to your browser once and runs on your own device. Your file never leaves your computer or phone, so there is no upload wait and nothing is stored on a server.
Can I clean a WhatsApp voice note?
Yes. Save or export the voice note to your device (it is usually an OPUS or OGG file), then choose it here. Chrome, Edge and Firefox open these files directly.
How long can the recording be?
There is no fixed limit. Recordings of an hour or more work on a laptop; on a phone, shorter recordings are more comfortable.
Will the cleaned file be quieter?
No. The tool measures the loudness of the speech before and after, and restores the original level automatically, without clipping.