Auphonic

Auphonic solves a real problem for journalists who produce audio: getting from raw recording to broadcast-ready without spending hours in a DAW. Upload your file, set a loudness target, and it handles leveling between speakers, noise/reverb reduction, filtering, and normalization in one automated pass. The Intelligent Leveler is genuinely good — it balances a quiet interviewee against a loud host without crushing dynamics. For field recordings with background noise, the adaptive noise reduction works better than most one-click solutions. The 2 hours/month free tier is enough to process 4-8 interview segments, making it viable for freelancers. Paid tiers remove the jingle watermark and unlock batch processing, watch folders, and priority support. The speech-to-text and automatic chapter generation are useful but not best-in-class — you'll want a dedicated transcription tool for that. The API is well-documented and supports automation workflows (Zapier, CLI, watch folders). The main limitation: it's cloud-only. Your audio files are uploaded to Auphonic's servers for processing. For routine podcast production this is fine. For sensitive source interviews, process locally first (Whisper for transcription, a DAW for audio) and only send non-sensitive audio to Auphonic. Multitrack processing handles up to 8 tracks with automatic ducking and noise gates — useful for multi-mic setups. Founded by Georg Holzmann, an Austrian audio engineer with a PhD in machine learning applied to audio. The company (Auphonic GmbH, Austria) has been operating since 2012 — over a decade of stability without VC funding.