Auphonic

Your AI sound engineer for podcasts and video

Freemium Audio

Overview

Auphonic is an all-in-one AI audio post-production platform that automatically enhances audio and video for podcasts, audiobooks, and broadcasts. It handles noise and reverb reduction, loudness leveling, filler-word removal, transcription, and automated publishing.

⚡ Audio 💵 Freemium: 2 free hours/month; recurring plans (S 9h, M 21h up to XXL 250h) plus one-time credit packs 📅 Listed 10 Jun 2026

Our take

Auphonic is automated audio post-production — levelling, loudness normalisation, noise reduction — and it has been quietly reliable at this for years. Its real strength is standards compliance: hitting broadcast and platform loudness targets consistently, which is tedious to do by hand and easy to get wrong. The free monthly allowance suits light podcasting.

Worth it if

Podcasters who want consistent loudness and clean levels without learning audio engineering.

Look elsewhere if

Music production, where automated levelling works against the dynamics you intend.

✨ Features

Audio Enhancement

Automatically reduces noise and reverb and balances loudness levels.

Filler Removal

Detects and removes filler words, coughs, and silences from recordings.

Speech-to-Text

Generates transcripts, show notes, and chapters automatically.

Auto Publishing

Publishes finished audio to YouTube, Soundcloud, Libsyn, and more.

⚖️ Pros & Cons

Pros

✓ Free monthly processing tier
✓ High-quality automated mastering
✓ Wide publishing integrations

Cons

✗ Billed by audio processing hours
✗ Free tier adds a jingle

💰 Pricing

Free

$0

  • 2 hours of processed audio per month
  • AI-based audio algorithms
  • Includes Auphonic jingle
  • Credits reset monthly (no rollover)
BEST VALUE

Recurring Credits

$11 /mo

  • Monthly subscription tiers from S (9h) to XXL (250h)
  • Speech recognition and shownotes
  • Watch folders and batch processing
  • Priority support
  • 20% discount on yearly billing

One-Time Credits

$5 one-time

  • Pay-as-you-go packages 5h to 3000h+
  • Per-hour rate drops at scale (down to ~$0.40/h)
  • Credits never expire
  • Optional auto top-up

❓ Frequently Asked Questions

Why does loudness normalisation matter?

Because platforms normalise playback to their own targets, and material mastered too loud gets turned down with the dynamics already squashed out of it. Hitting the target during production means your episode plays back as intended rather than being corrected. It is the least glamorous and most consistently valuable step in podcast post.

Hours-based or one-time credits?

Recurring plans suit a regular publishing schedule; one-time credit packs suit occasional or seasonal work and avoid paying for months you do not publish. The free monthly allowance covers a short episode or two, which is enough to judge whether the processing suits your material before committing either way.