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Auphonic

Auphonic is an automated audio post-production and mastering web service established in 2011 to streamline podcasting, broadcast, and spoken-word audio engineering. Combining traditional acoustic digital signal processing (DSP) algorithms with modern machine learning models, Auphonic automatically balances audio levels, eliminates background noise, and normalizes overall volume to meet international broadcast and streaming standards.

The platform eliminates the need for manual dynamic compression, multi-band equalization, and loudness meter auditing in digital audio workstations (DAWs). Content creators upload raw voice recordings, and Auphonic outputs mastered audio files conforming to standard podcast guidelines (such as -16 LUFS), complete with speech-to-text transcripts, automatic chapter marks, and multi-track audio leveling.

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Best For

  • Podcasters, broadcasters, and YouTubers wanting broadcast-standard loudness and clean acoustics without mastering expertise
  • Content teams producing interview podcasts where host and remote guest microphone levels differ substantially
  • Audio creators needing fast, automated background noise and room hum reduction across batch recordings

Not Ideal For

  • Music producers requiring manual creative multi-track mixing, artistic vocal pitch correction, or custom DAW automation
  • Broadcasters looking for zero-latency live audio processing, as Auphonic operates as a cloud-based batch mastering service
  • Creators wanting to edit out specific spoken words or rearrange video timelines, which is better handled in tools like Descript

How It Works

Users upload single-track or multi-track audio files to the Auphonic web platform or trigger processing via API or cloud storage integrations (Dropbox, Google Drive). Auphonic's signal processing engine analyzes the audio file to calculate loudness statistics (LUFS/LKFS), dynamic range, and acoustic frequency spectrum distribution.

Next, the service applies an adaptive leveler to smooth volume discrepancies between speakers. An intelligent loudness normalizer adjusts the track to target specifications (e.g., -16 LUFS for stereo podcasts, -19 LUFS for mono, or -23 LUFS for European broadcast). Algorithms filter low-frequency rumble, suppress noise and hum, and auto-duck background music during voiceovers. Processed audio is delivered in multiple formats (MP3, AAC, WAV, FLAC) with embedded metadata and chapter marks.

Key Features

Acoustic Mastering & Dynamic Leveling

  • Loudness normalization conforming to international broadcast and streaming standards (EBU R128, ATSC A/85, Apple, Spotify)
  • Adaptive multitrack leveling that harmonizes distinct microphone inputs and eliminates crosstalk between speakers
  • Dynamic noise and hum suppression that identifies and removes constant background noise, hum, and room reverb
  • Auto-ducking algorithms that lower background music or ambient sound beds whenever voice dialogue is detected

Metadata, Transcripts & Distribution

  • Automatic speech recognition generating multi-language transcripts with timestamped speaker identification
  • Automated chapter mark generation and metadata tagging (ID3, Vorbis comments) for podcast distribution
  • Direct cloud publishing integrations with Dropbox, Google Drive, YouTube, Libsyn, Podbean, and Amazon S3
  • Comprehensive REST API enabling automated integration within enterprise audio and media management pipelines

Strengths & Limitations

Strengths

  • Consistently delivers professional broadcast-standard audio mastering without requiring deep acoustic engineering skills
  • Multitrack algorithm excels at balancing dialogue and removing crosstalk from remote multi-mic interviews
  • Generous recurring free plan provides 2 hours of processed audio every month for independent creators
  • Flexible payment options support both monthly recurring subscriptions and non-expiring one-time credit top-ups

Limitations

  • Free plan audio outputs append an audible Auphonic promotional jingle/watermark at the end of files
  • Unused monthly subscription hours reset each billing period and do not roll over to future months
  • Batch processing time depends on server queue depth and file duration, making it unsuitable for live stream audio
  • Web interface is functional and technical but lacks modern graphical visualizer wave editors

Pricing

Auphonic provides a free monthly plan alongside recurring monthly subscriptions and non-expiring one-time credit packages based on total processed audio duration.

The Free Plan (XS) includes 2 hours of processed audio per month ($0 per month, no credit card required); free hours reset monthly without rollover and output files include an Auphonic audio watermark. Recurring Monthly Plans include: Small (S) at $13 per month (or $11 per month billed annually at $132 per year) or €12 per month for 9 hours of audio; Medium (M) at $26 per month ($22 per month billed annually) for 21 hours; Large (L) at $52 per month ($44 per month billed annually) for 45 hours; and Extra Large (XL) at $104 per month ($88 per month billed annually) for 100 hours. Unused subscription hours do not roll over. Creators needing irregular processing can purchase One-Time Credits that never expire, including 9 hours for $14 (€13), 25 hours for $36 (€34), or 100 hours for $125 (€119).

How It Compares

Compared to Cleanvoice (/tools/cleanvoice/), which specializes in surgically detecting and cutting out filler words ("ums"), mouth smacks, and stuttering, Auphonic focuses on acoustic mastering, loudness normalization, dynamic compression, and broadcast compliance. Compared to Descript (/tools/descript/), which is an all-in-one text-based media editor with "Studio Sound" enhancement, Auphonic is a dedicated, API-driven audio processing utility designed to master audio batches without changing content or editing video timelines.

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