Auphonic is an intelligent audio post-production service that uses machine learning algorithms to automatically optimize and master audio recordings for podcast, broadcast, and video production. The platform has been a trusted tool in the podcasting community since its founding and is known for delivering broadcast-standard audio quality through automated processing that would typically require an experienced audio engineer.
Core features include Adaptive Leveling, which automatically adjusts volume levels across multiple speakers and segments to ensure consistent loudness throughout a recording, conforming to broadcast standards such as EBU R128 and ITU-R BS.1770. Intelligent Noise and Hum Reduction uses machine learning to identify and suppress background noise, hiss, hum, and other unwanted ambient sounds without degrading speech quality. Automatic Speech Recognition provides transcription of audio content. The Sibilance Reduction feature attenuates harsh sibilant sounds in speech. Loudness Normalization ensures output meets platform-specific loudness targets for Spotify, Apple Podcasts, YouTube, and broadcast standards.
Auphonic supports multi-track processing, where individual speaker tracks can be processed separately before being mixed, providing superior results for multi-host podcasts and interview recordings. The platform also handles automatic chapter mark generation, metadata management, and direct publishing to podcast hosting platforms, YouTube, and cloud storage services. Output can be generated in multiple formats simultaneously including MP3, AAC, FLAC, WAV, and Opus.
The service is available as a web application and provides a REST API for automated workflows. Auphonic offers both a free tier with limited processing hours and paid subscription plans. It is used by independent podcasters, broadcast networks, universities, and enterprises. Auphonic was founded in 2012 and is headquartered in Graz, Austria.