Auphonic

Automatic audio post-production for loudness, levels and noise

AI Audio & MusicFree planOverseasβ˜…β˜…β˜…β˜…β˜† 4.0

What is Auphonic?

Auphonic is an automated post-production service for spoken-word audio. You upload one or more tracks and it handles level balancing, loudness normalisation to podcast or broadcast standards, noise and hum reduction, and silence trimming, then returns a finished file. It also supports multitrack interview balancing, chapter marks and publishing directly to podcast hosts, and can run as a hosted service or self-hosted instance. It is the practical answer for anyone publishing audio regularly who does not want to set levels by hand in a DAW every episode.

Last updated: 2026-09-20. This site only provides an index; for exact features, pricing, and licensing, see the official website.

Key features

  • Automatic loudness normalisation to broadcast and podcast targets
  • Multitrack level balancing for interviews with several speakers
  • Noise, hum and reverb reduction on spoken word material
  • Silence and pause trimming with adjustable thresholds
  • Chapter marks and metadata for podcast publishing
  • Export to common audio and video formats, plus a self-hosted option

Pros & cons

Strengths

  • Consistent loudness across episodes without manual work
  • Interview balancing saves a substantial editing pass
  • Predictable, repeatable results on every upload

Watch out for

  • Free tier is limited by monthly processing hours
  • Tuned for speech rather than music production
  • Automatic decisions may not suit every artistic choice

Best for & use cases

podcast production, interview balancing, lecture recording and broadcast delivery

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FAQ

What does Auphonic replace?

The repetitive parts of audio post: setting levels, matching loudness targets, cutting silence and reducing noise. Creative mixing and music work still belong elsewhere.

Can I run it on my own server?

Yes, a self-hosted version exists for teams that need data to stay in-house, alongside the hosted service and an API for automated pipelines.

Does it work for music?

It is designed for speech. Loudness normalisation is useful in general, but the balancing and noise handling assume voice, so music material is better processed in a DAW.