Auphonic has run since 2013, years before generative AI reshaped how audio tools get marketed, and it built its reputation on a narrower, older problem: automatically leveling and normalizing audio to broadcast loudness standards so a podcast doesn't sound quieter or louder episode to episode, or speaker to speaker within the same one.
That production-automation focus, rather than generation or cleanup alone, still defines it: multi-track mixing, noise and hum reduction, and automatic loudness normalization to specific broadcast targets (EBU R128 among them) run as one batch process, output ready for direct publishing rather than further manual adjustment. Auphonic integrates directly with podcast hosting platforms to automate that step at the end of a production pipeline.
A free tier covers a limited number of processing hours monthly, and paid plans start around $11 a month for more volume. For a podcast producer who wants consistent, broadcast-standard loudness across every episode without manually riding levels, Auphonic's decade-plus focus on that specific automation remains hard to match.
