What AI Audio Repair does
RIVANI AI Audio Repair is designed for spoken recordings affected by steady background noise, room tone, hum, fan or road noise, hiss-like noise floors, uneven recording level and difficult phone or laptop microphones. The goal is clearer, more comfortable speech without pretending every damaged recording can become a studio master.
The main repair path is RIVANI Clear Voice: choose or record audio, scan it, set repair strength, process it, compare Before and After, then export.
Current Beta workflow
- Choose audio or record from the microphone. WAV, MP3, M4A, AAC, OGG and FLAC are supported by the upload workflow.
- Scan the recording. RIVANI checks common quality indicators before repair.
- Set Clear Voice strength. Lower values preserve more ambience; stronger values remove more unwanted sound.
- Run the repair. Keep the tab open while the browser workflow finishes.
- Compare Before and After. Listen at a similar volume and judge naturalness as well as cleanliness.
- Export. Use the export options currently enabled in the Beta interface.
Noise reduction is a trade-off. A cleaner waveform is not automatically a better voice, so RIVANI keeps Before/After listening visible.
What Public Beta All Access includes
- No successful-job daily cap during the current public Beta
- RIVANI Clear Voice
- Audio scan and repair-strength control
- Microphone recording through the same workflow
- Before/After playback
- Current implemented export choices
Processing actions still require sign-in. Technical file-size, duration, browser-memory and device safeguards can still apply.
Previously Pro-labelled controls are unlocked in Beta
Current implemented advanced controls are temporarily included at no charge during Public Beta All Access. Future paid Pro is still upcoming; public pricing and QR/UPI checkout remain disabled.
- Fan / AC Assist
- Traffic Assist
- Click Repair
- Background Voices specialist workflow
- Music Control
- De-Reverb
- Current implemented lossless/export options
Good use cases
- Podcast and interview speech recorded outside a treated studio
- YouTube, Shorts and Reels voiceovers
- Lecture and classroom recordings
- Phone, voice-note and laptop-microphone speech
- Talking-head creator audio with steady room or fan noise
Important limits
- Severely clipped speech may contain permanently lost information.
- Two people talking over each other can remain difficult.
- Strong music, heavy reverberation and rapidly changing background sound can leave artifacts.
- Aggressive enhancement can remove breath, consonants or ambience and sound unnatural.
Privacy and processing
The selected audio is processed in the current RIVANI browser workflow. AI engine files may be downloaded to the device and cached. Keep the tab open until processing and export are complete.