How Does Auphonic Handle Multitrack Audio Productions?

Auphonic processes each track separately, applying individual leveling, noise reduction, and speaker detection. The system produces transcripts showing which speaker is active at what exact time, then mixes tracks to a balanced master output.

What Loudness Standards Does Auphonic Support?

Auphonic supports EBU R128, ATSC A/85, podcast-specific standards, and mobile targets. It also includes broadcast parameters like MaxLRA, MaxS, and MaxM for professional compliance requirements.

Can Auphonic Generate Transcriptions With Speaker Labels?

Yes, Auphonic provides multilingual speech recognition using Whisper and Speechmatics engines. It generates transcripts with speaker identification, automatic chapter marks, and shownotes for enhanced podcast episodes.

How Does The Filler Word And Silence Cutting Work?

Auphonic automatically detects and removes filler words, coughs, excessive silences, and breathing sounds. Users can export cut points to external audio/video editors for manual review before final rendering.

What External Services Can Auphonic Publish To Automatically?

Auphonic integrates with YouTube, SoundCloud, Dropbox, Google Drive, FTP servers, Libsyn, Podbean, and more. Watch folders enable automated processing when files are uploaded to connected cloud storage.

Auphonic

Name: Auphonic
Availability: InStock
Author: Auphonic

by Auphonic • Graz, Austria • Founded 2013

AI Audio Autopilot for Professional Podcast Post-Production Quality

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4.7 /5

5 reviews

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Pricing

From $11/mo

What is Auphonic?

Auphonic is an AI-powered audio post-production web service that automates professional-grade audio enhancement for podcasts, broadcasts, audiobooks, and lecture recordings. The platform combines machine learning with signal processing to deliver intelligent leveling, noise reduction, loudness normalization, and multitrack processing.

Users upload recordings and Auphonic handles adaptive level correction between speakers, reverb reduction, filler word cutting, and automatic transcription without requiring audio engineering expertise.

Auphonic — AI Audio Autopilot for Professional Podcast Post-Production Quality Whether you're evaluating Auphonic for your team or comparing it to alternatives in the AI Audio Tools category, this in-depth review covers everything: features, pricing, real user reviews, pros and cons, integrations, and direct comparisons against competitors.

Key Features 7

AI-Powered Noise and Reverb Reduction With Dynamic Static and Speech Isolation Modes

Intelligent Adaptive Leveler That Auto-Balances Levels Between Speakers Music and Speech

Automatic Filler Word Cough and Silence Cutting for Clean Professional Audio Output

Multitrack Post Production With Automatic Ducking Noise Gate and Crosstalk Removal

Loudness Normalization Compliant With EBU R128 Spotify YouTube and Apple Podcast Standards

Built-In Speech-to-Text Transcription With Auto-Generated Shownotes and Chapter Markers

Voice AutoEQ and Bandwidth Extension to Restore Clarity in Muffled Low-Quality Recordings

Who Is Auphonic For

1 Podcast Producers

2 Radio Broadcasters

3 Audiobook Narrators

4 Educational Content Creators

5 Video Production Teams

Pros & Cons

Pros 4 benefits

Extremely Accurate Noise Reduction
Generous Free Tier Monthly
Supports Multiple Loudness Standards
Extensive Third-Party Integrations

Cons 3 limitations

No Real-Time Processing
Credits Reset Monthly
Interface Feels Dated

Frequently Asked Questions

5 questions

How Auphonic works

Auphonic is positioned as aI Audio Autopilot for Professional Podcast Post-Production Quality. Under the hood it ships 7 headline capabilities, including AI-Powered Noise and Reverb Reduction With Dynamic Static and Speech Isolation Modes, Intelligent Adaptive Leveler That Auto-Balances Levels Between Speakers Music and Speech, Automatic Filler Word Cough and Silence Cutting for Clean Professional Audio Output, Multitrack Post Production With Automatic Ducking Noise Gate and Crosstalk Removal, Loudness Normalization Compliant With EBU R128 Spotify YouTube and Apple Podcast Standards and Built-In Speech-to-Text Transcription With Auto-Generated Shownotes and Chapter Markers. Together these features cover the core workflows most teams expect from a modern ai audio tools, from initial setup through day-to-day production use.

Auphonic runs as a self-contained product, so you can adopt it without touching the rest of your stack — useful when you want to evaluate the tool in isolation before wiring up integrations.

Who is Auphonic for?

Auphonic is most useful for Podcast Producers, Radio Broadcasters, Audiobook Narrators and Educational Content Creators. If your team falls into one of those buckets, the feature set lines up well with how you already work — you won't be forcing a square peg into a round hole.

Beyond the obvious use case, the product tends to attract users who want a low-friction starting point option in the ai audio tools space.

Auphonic pricing explained

Auphonic runs on a freemium model. You get a usable free tier to evaluate the product, and you only pay when you outgrow the limits — usage volume, seat count, or premium features. Headline pricing: From $11/mo.

Across the AI Gear Base rubric, we score freemium pricing models on transparency, rate-limit honesty, and how predictable spend is at scale. Auphonic's freemium approach is standard for the category — useful for evaluation, but always re-check tier limits before you depend on the free plan.

Our verdict on Auphonic

Auphonic hasn't been rated by enough reviewers yet to publish an aggregate score. The strongest signal in those reviews is that extremely accurate noise reduction. The most common complaint is that no real-time processing — worth knowing before you commit, but rarely a deal-breaker for teams that already match the use case.

If you're evaluating Auphonic against alternatives, weigh it on the same 7-criteria rubric we apply to every tool: capability, integrations, pricing transparency, support, security posture, roadmap velocity, and community signal. Built by Auphonic, founded in 2013, the product has a clear track record you can verify before adopting it. The bottom line: Auphonic is a solid pick in the ai audio tools category, and it deserves a spot on your shortlist if your workflow matches what it was built for.