About us

About Audiofilter

Audio tools that process files on your own device.

An independent developer's project

Audiofilter is built and maintained by an independent developer.

I want more people to enjoy technology. Audiofilter gives you practical audio tools to experiment with in your browser.

All tools and exports are completely free, and you can use them without creating an account.

Contact us

If you have additional needs or feature requests, please email us. I will do my best to help.

For bug reports, questions or corrections, email us with the tool name, your browser and what happened. Please avoid sending private recordings.

audiofilternet@outlook.com

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What I make

Audiofilter brings free audio tools into your browser for music practice, spoken recordings, video narration, speech transcription and creative audio effects.

Transcripts and subtitles from recordings

Use AI Speech to Text to transcribe interviews, lectures, meetings or voice memos. Add audio files or record your microphone, review and edit the transcript, then export TXT, SRT, VTT or JSON.

Each file can be up to 5 minutes long. Several files can be processed in one batch. Models are cached in your browser, and your audio and transcript stay on your device.

Use SenseVoice Small for Chinese, English, Cantonese, Japanese and Korean, and Whisper Base for other languages. Automatic language detection can be inaccurate, especially with noise; choose the language manually when possible and review the result.

For noisy recordings, reduce background noise first.

Why processing stays local

Your browser downloads the engine and models, then processes your audio or text on your device. Your files stay on your machine.

How I build the tools

I build the interface and browser integration around open-source audio models. My work includes local processing, model caching, recording, waveform previews and audio export.

Our engineering notes explain the work behind the site, including model delivery, browser isolation and deployment problems.

Read our engineering notes

Open-source foundations

Spleeter
Vocal and instrumental separation.
sherpa-onnx
Browser inference for the separation models.
DeepFilterNet3
Speech noise reduction.
PocketTTS
Text to speech and voice cloning.
OpenVoice2
Voice conversion.
CrispASR, SenseVoice and Whisper
Local multilingual speech recognition and language detection.
FFmpeg.wasm
Audio conversion and export.

These projects provide the models and engines behind the tools. Their authors retain credit for their work; source links are provided above.

Files, storage and website services

Audio and typed text are processed locally. Models and settings can be cached in your browser for later visits.

The text-to-speech tool saves cloned voices and their audio samples in browser storage. You can remove a saved voice or clear site data.

Hosting, analytics, advertising and optional embedded videos involve separate website requests. Our privacy policy explains these services.

Read our privacy policy

What to expect

Results depend on your recording and your device. Each tool page explains its length limits, browser requirements and output formats.

Text to speech supports English. Translating the interface does not change the model's speech language.

See pricing and limits

Try the vocal remover