Three simple steps
How to remove background noise from audio
- 01
Choose an audio file from your device. Your audio stays in the browser and is not uploaded to ToolYogi.
- 02
Choose a noise-reduction strength. Start around 50–70% and increase only when the recording needs stronger suppression.
- 03
Run AI noise reduction, compare the original and cleaned versions, then download the WAV result.
What kind of noise can it reduce?
DeepFilterNet3 is designed for speech enhancement and can reduce many steady or semi-steady background sounds such as fan noise, room noise, hiss and environmental ambience. Results vary with the recording.
What does the strength control do?
The suppression control changes how aggressively the model removes background content. Higher values can remove more noise, but may also affect quiet detail, ambience or voice texture.
Why is the output mono?
The current Noise Remover mixes the selected audio to mono before DeepFilterNet3 processing. This keeps the browser pipeline simpler and is well suited to voice, dialogue and many cleanup tasks.
Does ToolYogi upload my recording?
No. The selected audio is decoded and processed locally in your browser. The AI runtime and model files are downloaded separately as static resources, but your audio is not sent to ToolYogi for processing.
A little more clarity
Frequently asked questions
Is the Noise Remover free?
Yes. The current browser-based Noise Remover does not require an account.
Does my audio leave my device?
No. Your selected audio is processed locally in the browser. The browser downloads the AI runtime and model separately.
What browser works best?
A current Chromium-based browser or Safari is recommended for browser WebAssembly and AudioWorklet workloads. Performance varies by device.
Will it remove all noise perfectly?
No. Noise suppression is an estimate. Strong noise, music behind speech, reverberation and sounds that overlap the voice can remain or produce artifacts.
What format do I download?
The current ToolYogi implementation exports the cleaned result as a mono WAV file.
Can I use it on music?
You can, but DeepFilterNet3 is primarily intended for speech enhancement. For full music mixes, aggressive settings may alter instruments or ambience.
Open-source AI processing
Noise reduction uses the DeepFilterNet3 browser runtime. The package and upstream DeepFilterNet project are available under permissive MIT or Apache-2.0 licensing. Your selected audio stays in the browser; model assets are fetched separately.