Speech restorer with AI noise removal and bandwidth extension

An online tool for restoring speech right in your browser. It turns an unclear recording into an intelligible one: it measures how far the speech stands above the noise and whether the room echoes, then picks the processing from those numbers — clipped-peak repair, room echo suppression and DeepFilterNet AI noise reduction. An hour-long lecture is restored as one file.

How to Use

1
Upload your audio

Drag and drop or browse for your degraded audio file (MP3, WAV, FLAC, OGG, M4A).

2
Review diagnosis

The tool measures the recording and shows what it found: how far the speech stands above the noise, the speech bandwidth, clipped peaks and room echo.

3
Choose preset and intensity

Keep Auto or pick a recording type if you know more about it than the measurement shows. Set the strength from Light to Maximum.

4
Restore and compare

Click Restore Speech, then compare Before/After with the built-in players and spectrum visualization

5
WAV, MP3, FLAC or OGG

Download the result as MP3, WAV, FLAC or OGG. You can switch the format after restoring — the file is re-saved, not processed again.

Recover clarity from degraded phone calls, old recordings, and noisy environments

🔊
Upload audio to restore
Drop your audio file here
🔊
Audio Diagnosis
What type of recording?
🤖
Auto
Measures noise and room echo and picks the strength itself
📱
Phone Call
Calls and VoIP: gentle — heavy cleanup makes narrow-band speech harder to understand
📼
Old Recording
Tapes and old media: gently removes hiss without touching the voice
🏗️
Noisy
Street, café, transport: deep noise reduction
🔇
Muffled
Dull sound: gentle, so the intelligibility that is left is kept
🏢
Conference
Halls and meetings: always removes room echo
📻
Radio
Broadcasts and streams: gentle cleanup that keeps the timbre
Restoration Intensity
Medium
Light Medium Strong Maximum
📈DeClip
→
🏠DeReverb
→
🤖NR
→
📏LUFS
→
🛑Limit
Analyzing audio... 0%
Before
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After
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Playback Speed:
Format
Frequency Spectrum
Before After
Spectrogram
0:00
Measured before and after
Published Updated Author: