Auphonic is an AI-powered audio post-production service that automatically normalizes levels, removes noise, filters out hum, and optimizes audio for podcasts and videos. It processes audio in the cloud and returns a polished, broadcast-ready file. Podcasters use Auphonic to automate the tedious manual audio cleanup work, saving hours per episode. It integrates with podcast hosting platforms for a fully automated workflow.

Auphonic
AI audio post-production for podcasters
Best for: Podcasters wanting automated audio cleanup without audio engineering knowledge
- Free plan
The editorial note
What to know about Auphonic
Is it right for you?
Who Auphonic suits
Choose it if
- Podcasters wanting automated audio cleanup without audio engineering knowledge
Look elsewhere if
- Professional audio engineers who need manual control over every parameter
What you get
Key features
- Noise reduction
- Level normalization
- Loudness standards (LUFS)
- Multi-track support
- Chapter markers
- Auto-publishing
- Transcript generation
Works with
Integrations6
The trade-off
Pros and cons
Pros
- AI noise reduction
- Level normalization
- Automatic loudness standard compliance
- Chapter marks
- Auto-publishing to platforms
- 2 hours/month free
Cons
- Cloud processing takes time
- Limited control vs manual production
- Not for music production
Quick read
At a glance
- Category
- Video & Audio
- Pricing model
- Freemium
- Free plan
- Available
- Free trial
- Not listed
- Website
- auphonic.com
The verdict
Our take on Auphonic
Essential tool for podcasters who want broadcast-quality audio without audio engineering skills. Auphonic's automation typically cuts 30-60 minutes of post-production work per episode.
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