Auphonic Freemium

Quick Summary

• Auphonic is automated audio post-production from an Austrian team (launched 2011), focused on leveling and loudness normalisation.
• Free tier covers 2 hours per month; paid plans start around $11 for 9 hours.
• Supports -16, -19 and -23 LUFS targets plus multitrack merging, transcription and chapter generation.
• Best for producers who need consistency across many episodes; it cannot replace an editor for cutting content.

Aggressive noise reduction adds a slight underwater artifact on quiet passages. And its denoise is not in the same league as Adobe Podcast’s Enhance Speech for genuinely bad recordings — different jobs. Auphonic is for consistency across many good-enough episodes; Adobe is for rescuing one bad file.

Quick Summary

• Auphonic is automated audio post-production from an Austrian team (launched 2011), focused on leveling and loudness normalisation.
• Free tier covers 2 hours per month; paid plans start around $11 for 9 hours.
• Supports -16, -19 and -23 LUFS targets plus multitrack merging, transcription and chapter generation.
• Best for producers who need consistency across many episodes; it cannot replace an editor for cutting content.

It is a batch processor, not an editor. You cannot cut out a rambling anecdote inside Auphonic — you edit first in Descript, Audacity or Reaper, then send the result for processing. The interface looks like 2015 and the per-file upload flow is slower than a local app.

Aggressive noise reduction adds a slight underwater artifact on quiet passages. And its denoise is not in the same league as Adobe Podcast’s Enhance Speech for genuinely bad recordings — different jobs. Auphonic is for consistency across many good-enough episodes; Adobe is for rescuing one bad file.

Quick Summary

• Auphonic is automated audio post-production from an Austrian team (launched 2011), focused on leveling and loudness normalisation.
• Free tier covers 2 hours per month; paid plans start around $11 for 9 hours.
• Supports -16, -19 and -23 LUFS targets plus multitrack merging, transcription and chapter generation.
• Best for producers who need consistency across many episodes; it cannot replace an editor for cutting content.

Where Auphonic falls short

It is a batch processor, not an editor. You cannot cut out a rambling anecdote inside Auphonic — you edit first in Descript, Audacity or Reaper, then send the result for processing. The interface looks like 2015 and the per-file upload flow is slower than a local app.

Aggressive noise reduction adds a slight underwater artifact on quiet passages. And its denoise is not in the same league as Adobe Podcast’s Enhance Speech for genuinely bad recordings — different jobs. Auphonic is for consistency across many good-enough episodes; Adobe is for rescuing one bad file.

Quick Summary

• Auphonic is automated audio post-production from an Austrian team (launched 2011), focused on leveling and loudness normalisation.
• Free tier covers 2 hours per month; paid plans start around $11 for 9 hours.
• Supports -16, -19 and -23 LUFS targets plus multitrack merging, transcription and chapter generation.
• Best for producers who need consistency across many episodes; it cannot replace an editor for cutting content.

Where Auphonic falls short

It is a batch processor, not an editor. You cannot cut out a rambling anecdote inside Auphonic — you edit first in Descript, Audacity or Reaper, then send the result for processing. The interface looks like 2015 and the per-file upload flow is slower than a local app.

Aggressive noise reduction adds a slight underwater artifact on quiet passages. And its denoise is not in the same league as Adobe Podcast’s Enhance Speech for genuinely bad recordings — different jobs. Auphonic is for consistency across many good-enough episodes; Adobe is for rescuing one bad file.

Quick Summary

• Auphonic is automated audio post-production from an Austrian team (launched 2011), focused on leveling and loudness normalisation.
• Free tier covers 2 hours per month; paid plans start around $11 for 9 hours.
• Supports -16, -19 and -23 LUFS targets plus multitrack merging, transcription and chapter generation.
• Best for producers who need consistency across many episodes; it cannot replace an editor for cutting content.

1. Weekly podcast production. Set one preset, run every episode through it, get consistent loudness.
2. Remote interview merging. Sync two local recordings and level both speakers automatically.
3. Course audio. Normalise 40 lecture recordings to the same loudness without opening a DAW.
4. Radio and broadcast delivery. EBU R128 compliant -23 LUFS output with true peak limiting.
5. Show notes at scale. Transcript plus chapter markers exported alongside the audio.

Where Auphonic falls short

It is a batch processor, not an editor. You cannot cut out a rambling anecdote inside Auphonic — you edit first in Descript, Audacity or Reaper, then send the result for processing. The interface looks like 2015 and the per-file upload flow is slower than a local app.

Aggressive noise reduction adds a slight underwater artifact on quiet passages. And its denoise is not in the same league as Adobe Podcast’s Enhance Speech for genuinely bad recordings — different jobs. Auphonic is for consistency across many good-enough episodes; Adobe is for rescuing one bad file.

Quick Summary

• Auphonic is automated audio post-production from an Austrian team (launched 2011), focused on leveling and loudness normalisation.
• Free tier covers 2 hours per month; paid plans start around $11 for 9 hours.
• Supports -16, -19 and -23 LUFS targets plus multitrack merging, transcription and chapter generation.
• Best for producers who need consistency across many episodes; it cannot replace an editor for cutting content.

What can you use Auphonic for?

1. Weekly podcast production. Set one preset, run every episode through it, get consistent loudness.
2. Remote interview merging. Sync two local recordings and level both speakers automatically.
3. Course audio. Normalise 40 lecture recordings to the same loudness without opening a DAW.
4. Radio and broadcast delivery. EBU R128 compliant -23 LUFS output with true peak limiting.
5. Show notes at scale. Transcript plus chapter markers exported alongside the audio.

Where Auphonic falls short

It is a batch processor, not an editor. You cannot cut out a rambling anecdote inside Auphonic — you edit first in Descript, Audacity or Reaper, then send the result for processing. The interface looks like 2015 and the per-file upload flow is slower than a local app.

Aggressive noise reduction adds a slight underwater artifact on quiet passages. And its denoise is not in the same league as Adobe Podcast’s Enhance Speech for genuinely bad recordings — different jobs. Auphonic is for consistency across many good-enough episodes; Adobe is for rescuing one bad file.

Quick Summary

• Auphonic is automated audio post-production from an Austrian team (launched 2011), focused on leveling and loudness normalisation.
• Free tier covers 2 hours per month; paid plans start around $11 for 9 hours.
• Supports -16, -19 and -23 LUFS targets plus multitrack merging, transcription and chapter generation.
• Best for producers who need consistency across many episodes; it cannot replace an editor for cutting content.

Transcription accuracy is good on clean English, mediocre on accented audio and heavy crosstalk. It is included because it is useful for show notes, not because it competes with dedicated ASR APIs.

What can you use Auphonic for?

1. Weekly podcast production. Set one preset, run every episode through it, get consistent loudness.
2. Remote interview merging. Sync two local recordings and level both speakers automatically.
3. Course audio. Normalise 40 lecture recordings to the same loudness without opening a DAW.
4. Radio and broadcast delivery. EBU R128 compliant -23 LUFS output with true peak limiting.
5. Show notes at scale. Transcript plus chapter markers exported alongside the audio.

Where Auphonic falls short

It is a batch processor, not an editor. You cannot cut out a rambling anecdote inside Auphonic — you edit first in Descript, Audacity or Reaper, then send the result for processing. The interface looks like 2015 and the per-file upload flow is slower than a local app.

Aggressive noise reduction adds a slight underwater artifact on quiet passages. And its denoise is not in the same league as Adobe Podcast’s Enhance Speech for genuinely bad recordings — different jobs. Auphonic is for consistency across many good-enough episodes; Adobe is for rescuing one bad file.

Quick Summary

• Auphonic is automated audio post-production from an Austrian team (launched 2011), focused on leveling and loudness normalisation.
• Free tier covers 2 hours per month; paid plans start around $11 for 9 hours.
• Supports -16, -19 and -23 LUFS targets plus multitrack merging, transcription and chapter generation.
• Best for producers who need consistency across many episodes; it cannot replace an editor for cutting content.

Transcription accuracy is good on clean English, mediocre on accented audio and heavy crosstalk. It is included because it is useful for show notes, not because it competes with dedicated ASR APIs.

What can you use Auphonic for?

1. Weekly podcast production. Set one preset, run every episode through it, get consistent loudness.
2. Remote interview merging. Sync two local recordings and level both speakers automatically.
3. Course audio. Normalise 40 lecture recordings to the same loudness without opening a DAW.
4. Radio and broadcast delivery. EBU R128 compliant -23 LUFS output with true peak limiting.
5. Show notes at scale. Transcript plus chapter markers exported alongside the audio.

Where Auphonic falls short

It is a batch processor, not an editor. You cannot cut out a rambling anecdote inside Auphonic — you edit first in Descript, Audacity or Reaper, then send the result for processing. The interface looks like 2015 and the per-file upload flow is slower than a local app.

Aggressive noise reduction adds a slight underwater artifact on quiet passages. And its denoise is not in the same league as Adobe Podcast’s Enhance Speech for genuinely bad recordings — different jobs. Auphonic is for consistency across many good-enough episodes; Adobe is for rescuing one bad file.

Quick Summary

• Auphonic is automated audio post-production from an Austrian team (launched 2011), focused on leveling and loudness normalisation.
• Free tier covers 2 hours per month; paid plans start around $11 for 9 hours.
• Supports -16, -19 and -23 LUFS targets plus multitrack merging, transcription and chapter generation.
• Best for producers who need consistency across many episodes; it cannot replace an editor for cutting content.

Two features quietly justify the subscription. First, Multi-level filters: you stack leveling, normalize, denoise and cut filters in order and save the chain as a preset. Second, the API and watch folders — point Auphonic at a Dropbox folder and every new file is processed and published automatically. For a producer shipping three shows a week, that removes a manual step entirely.

Transcription accuracy is good on clean English, mediocre on accented audio and heavy crosstalk. It is included because it is useful for show notes, not because it competes with dedicated ASR APIs.

What can you use Auphonic for?

1. Weekly podcast production. Set one preset, run every episode through it, get consistent loudness.
2. Remote interview merging. Sync two local recordings and level both speakers automatically.
3. Course audio. Normalise 40 lecture recordings to the same loudness without opening a DAW.
4. Radio and broadcast delivery. EBU R128 compliant -23 LUFS output with true peak limiting.
5. Show notes at scale. Transcript plus chapter markers exported alongside the audio.

Where Auphonic falls short

It is a batch processor, not an editor. You cannot cut out a rambling anecdote inside Auphonic — you edit first in Descript, Audacity or Reaper, then send the result for processing. The interface looks like 2015 and the per-file upload flow is slower than a local app.

Aggressive noise reduction adds a slight underwater artifact on quiet passages. And its denoise is not in the same league as Adobe Podcast’s Enhance Speech for genuinely bad recordings — different jobs. Auphonic is for consistency across many good-enough episodes; Adobe is for rescuing one bad file.

Quick Summary

• Auphonic is automated audio post-production from an Austrian team (launched 2011), focused on leveling and loudness normalisation.
• Free tier covers 2 hours per month; paid plans start around $11 for 9 hours.
• Supports -16, -19 and -23 LUFS targets plus multitrack merging, transcription and chapter generation.
• Best for producers who need consistency across many episodes; it cannot replace an editor for cutting content.

Two features quietly justify the subscription. First, Multi-level filters: you stack leveling, normalize, denoise and cut filters in order and save the chain as a preset. Second, the API and watch folders — point Auphonic at a Dropbox folder and every new file is processed and published automatically. For a producer shipping three shows a week, that removes a manual step entirely.

Transcription accuracy is good on clean English, mediocre on accented audio and heavy crosstalk. It is included because it is useful for show notes, not because it competes with dedicated ASR APIs.

What can you use Auphonic for?

1. Weekly podcast production. Set one preset, run every episode through it, get consistent loudness.
2. Remote interview merging. Sync two local recordings and level both speakers automatically.
3. Course audio. Normalise 40 lecture recordings to the same loudness without opening a DAW.
4. Radio and broadcast delivery. EBU R128 compliant -23 LUFS output with true peak limiting.
5. Show notes at scale. Transcript plus chapter markers exported alongside the audio.

Where Auphonic falls short

It is a batch processor, not an editor. You cannot cut out a rambling anecdote inside Auphonic — you edit first in Descript, Audacity or Reaper, then send the result for processing. The interface looks like 2015 and the per-file upload flow is slower than a local app.

Aggressive noise reduction adds a slight underwater artifact on quiet passages. And its denoise is not in the same league as Adobe Podcast’s Enhance Speech for genuinely bad recordings — different jobs. Auphonic is for consistency across many good-enough episodes; Adobe is for rescuing one bad file.

Quick Summary

• Auphonic is automated audio post-production from an Austrian team (launched 2011), focused on leveling and loudness normalisation.
• Free tier covers 2 hours per month; paid plans start around $11 for 9 hours.
• Supports -16, -19 and -23 LUFS targets plus multitrack merging, transcription and chapter generation.
• Best for producers who need consistency across many episodes; it cannot replace an editor for cutting content.

Pricing: free for 2 hours per month (files up to 2 hours each). Paid tiers scale by processing hours — roughly $11 for 9 hours, $22 for 20 hours, $44 for 42 hours per month. Speech recognition is metered separately as credits. A weekly hour-long show needs about 4-5 hours monthly, so the entry paid tier is enough for most independent podcasters.

Two features quietly justify the subscription. First, Multi-level filters: you stack leveling, normalize, denoise and cut filters in order and save the chain as a preset. Second, the API and watch folders — point Auphonic at a Dropbox folder and every new file is processed and published automatically. For a producer shipping three shows a week, that removes a manual step entirely.

Transcription accuracy is good on clean English, mediocre on accented audio and heavy crosstalk. It is included because it is useful for show notes, not because it competes with dedicated ASR APIs.

What can you use Auphonic for?

1. Weekly podcast production. Set one preset, run every episode through it, get consistent loudness.
2. Remote interview merging. Sync two local recordings and level both speakers automatically.
3. Course audio. Normalise 40 lecture recordings to the same loudness without opening a DAW.
4. Radio and broadcast delivery. EBU R128 compliant -23 LUFS output with true peak limiting.
5. Show notes at scale. Transcript plus chapter markers exported alongside the audio.

Where Auphonic falls short

It is a batch processor, not an editor. You cannot cut out a rambling anecdote inside Auphonic — you edit first in Descript, Audacity or Reaper, then send the result for processing. The interface looks like 2015 and the per-file upload flow is slower than a local app.

Aggressive noise reduction adds a slight underwater artifact on quiet passages. And its denoise is not in the same league as Adobe Podcast’s Enhance Speech for genuinely bad recordings — different jobs. Auphonic is for consistency across many good-enough episodes; Adobe is for rescuing one bad file.

Quick Summary

• Auphonic is automated audio post-production from an Austrian team (launched 2011), focused on leveling and loudness normalisation.
• Free tier covers 2 hours per month; paid plans start around $11 for 9 hours.
• Supports -16, -19 and -23 LUFS targets plus multitrack merging, transcription and chapter generation.
• Best for producers who need consistency across many episodes; it cannot replace an editor for cutting content.

Product highlights

Pricing: free for 2 hours per month (files up to 2 hours each). Paid tiers scale by processing hours — roughly $11 for 9 hours, $22 for 20 hours, $44 for 42 hours per month. Speech recognition is metered separately as credits. A weekly hour-long show needs about 4-5 hours monthly, so the entry paid tier is enough for most independent podcasters.

Two features quietly justify the subscription. First, Multi-level filters: you stack leveling, normalize, denoise and cut filters in order and save the chain as a preset. Second, the API and watch folders — point Auphonic at a Dropbox folder and every new file is processed and published automatically. For a producer shipping three shows a week, that removes a manual step entirely.

Transcription accuracy is good on clean English, mediocre on accented audio and heavy crosstalk. It is included because it is useful for show notes, not because it competes with dedicated ASR APIs.

What can you use Auphonic for?

1. Weekly podcast production. Set one preset, run every episode through it, get consistent loudness.
2. Remote interview merging. Sync two local recordings and level both speakers automatically.
3. Course audio. Normalise 40 lecture recordings to the same loudness without opening a DAW.
4. Radio and broadcast delivery. EBU R128 compliant -23 LUFS output with true peak limiting.
5. Show notes at scale. Transcript plus chapter markers exported alongside the audio.

Where Auphonic falls short

It is a batch processor, not an editor. You cannot cut out a rambling anecdote inside Auphonic — you edit first in Descript, Audacity or Reaper, then send the result for processing. The interface looks like 2015 and the per-file upload flow is slower than a local app.

Aggressive noise reduction adds a slight underwater artifact on quiet passages. And its denoise is not in the same league as Adobe Podcast’s Enhance Speech for genuinely bad recordings — different jobs. Auphonic is for consistency across many good-enough episodes; Adobe is for rescuing one bad file.

Quick Summary

• Auphonic is automated audio post-production from an Austrian team (launched 2011), focused on leveling and loudness normalisation.
• Free tier covers 2 hours per month; paid plans start around $11 for 9 hours.
• Supports -16, -19 and -23 LUFS targets plus multitrack merging, transcription and chapter generation.
• Best for producers who need consistency across many episodes; it cannot replace an editor for cutting content.

Product highlights

Pricing: free for 2 hours per month (files up to 2 hours each). Paid tiers scale by processing hours — roughly $11 for 9 hours, $22 for 20 hours, $44 for 42 hours per month. Speech recognition is metered separately as credits. A weekly hour-long show needs about 4-5 hours monthly, so the entry paid tier is enough for most independent podcasters.

Two features quietly justify the subscription. First, Multi-level filters: you stack leveling, normalize, denoise and cut filters in order and save the chain as a preset. Second, the API and watch folders — point Auphonic at a Dropbox folder and every new file is processed and published automatically. For a producer shipping three shows a week, that removes a manual step entirely.

Transcription accuracy is good on clean English, mediocre on accented audio and heavy crosstalk. It is included because it is useful for show notes, not because it competes with dedicated ASR APIs.

What can you use Auphonic for?

1. Weekly podcast production. Set one preset, run every episode through it, get consistent loudness.
2. Remote interview merging. Sync two local recordings and level both speakers automatically.
3. Course audio. Normalise 40 lecture recordings to the same loudness without opening a DAW.
4. Radio and broadcast delivery. EBU R128 compliant -23 LUFS output with true peak limiting.
5. Show notes at scale. Transcript plus chapter markers exported alongside the audio.

Where Auphonic falls short

It is a batch processor, not an editor. You cannot cut out a rambling anecdote inside Auphonic — you edit first in Descript, Audacity or Reaper, then send the result for processing. The interface looks like 2015 and the per-file upload flow is slower than a local app.

Aggressive noise reduction adds a slight underwater artifact on quiet passages. And its denoise is not in the same league as Adobe Podcast’s Enhance Speech for genuinely bad recordings — different jobs. Auphonic is for consistency across many good-enough episodes; Adobe is for rescuing one bad file.

Quick Summary

• Auphonic is automated audio post-production from an Austrian team (launched 2011), focused on leveling and loudness normalisation.
• Free tier covers 2 hours per month; paid plans start around $11 for 9 hours.
• Supports -16, -19 and -23 LUFS targets plus multitrack merging, transcription and chapter generation.
• Best for producers who need consistency across many episodes; it cannot replace an editor for cutting content.

Auphonic product features

• Automatic leveling. Per-speaker gain riding so a quiet guest and a loud host land at the same perceived level.
• Loudness normalisation. Target LUFS per output — -16 for Apple Podcasts and Spotify, -19 for mono voice, -23 for broadcast.
• Noise and hum reduction. Adaptive filtering, plus separate cut controls for wind, breath and cough.
• Multitrack and multi-source merging. Combine separate local recordings (the Riverside/Zencastr pattern) with automatic sync and crosstalk handling.
• Automatic transcription and chapters. Speech-to-text in 100+ languages, speaker labels, chapter marks from silence detection or manual markers.
• Publishing integrations. Push finished episodes to a podcast host, YouTube, Dropbox or FTP via an API or webhook.

Product highlights

Pricing: free for 2 hours per month (files up to 2 hours each). Paid tiers scale by processing hours — roughly $11 for 9 hours, $22 for 20 hours, $44 for 42 hours per month. Speech recognition is metered separately as credits. A weekly hour-long show needs about 4-5 hours monthly, so the entry paid tier is enough for most independent podcasters.

Two features quietly justify the subscription. First, Multi-level filters: you stack leveling, normalize, denoise and cut filters in order and save the chain as a preset. Second, the API and watch folders — point Auphonic at a Dropbox folder and every new file is processed and published automatically. For a producer shipping three shows a week, that removes a manual step entirely.

Transcription accuracy is good on clean English, mediocre on accented audio and heavy crosstalk. It is included because it is useful for show notes, not because it competes with dedicated ASR APIs.

What can you use Auphonic for?

1. Weekly podcast production. Set one preset, run every episode through it, get consistent loudness.
2. Remote interview merging. Sync two local recordings and level both speakers automatically.
3. Course audio. Normalise 40 lecture recordings to the same loudness without opening a DAW.
4. Radio and broadcast delivery. EBU R128 compliant -23 LUFS output with true peak limiting.
5. Show notes at scale. Transcript plus chapter markers exported alongside the audio.

Where Auphonic falls short

It is a batch processor, not an editor. You cannot cut out a rambling anecdote inside Auphonic — you edit first in Descript, Audacity or Reaper, then send the result for processing. The interface looks like 2015 and the per-file upload flow is slower than a local app.

Aggressive noise reduction adds a slight underwater artifact on quiet passages. And its denoise is not in the same league as Adobe Podcast’s Enhance Speech for genuinely bad recordings — different jobs. Auphonic is for consistency across many good-enough episodes; Adobe is for rescuing one bad file.

Quick Summary

• Auphonic is automated audio post-production from an Austrian team (launched 2011), focused on leveling and loudness normalisation.
• Free tier covers 2 hours per month; paid plans start around $11 for 9 hours.
• Supports -16, -19 and -23 LUFS targets plus multitrack merging, transcription and chapter generation.
• Best for producers who need consistency across many episodes; it cannot replace an editor for cutting content.

That heritage matters. It is not a generative model inventing a new voice; it is a competent engineer’s preset applied consistently. Episodes come out at a consistent volume week to week, which is more than most podcasters manage by hand in Audacity.

Auphonic product features

• Automatic leveling. Per-speaker gain riding so a quiet guest and a loud host land at the same perceived level.
• Loudness normalisation. Target LUFS per output — -16 for Apple Podcasts and Spotify, -19 for mono voice, -23 for broadcast.
• Noise and hum reduction. Adaptive filtering, plus separate cut controls for wind, breath and cough.
• Multitrack and multi-source merging. Combine separate local recordings (the Riverside/Zencastr pattern) with automatic sync and crosstalk handling.
• Automatic transcription and chapters. Speech-to-text in 100+ languages, speaker labels, chapter marks from silence detection or manual markers.
• Publishing integrations. Push finished episodes to a podcast host, YouTube, Dropbox or FTP via an API or webhook.

Product highlights

Pricing: free for 2 hours per month (files up to 2 hours each). Paid tiers scale by processing hours — roughly $11 for 9 hours, $22 for 20 hours, $44 for 42 hours per month. Speech recognition is metered separately as credits. A weekly hour-long show needs about 4-5 hours monthly, so the entry paid tier is enough for most independent podcasters.

Two features quietly justify the subscription. First, Multi-level filters: you stack leveling, normalize, denoise and cut filters in order and save the chain as a preset. Second, the API and watch folders — point Auphonic at a Dropbox folder and every new file is processed and published automatically. For a producer shipping three shows a week, that removes a manual step entirely.

Transcription accuracy is good on clean English, mediocre on accented audio and heavy crosstalk. It is included because it is useful for show notes, not because it competes with dedicated ASR APIs.

What can you use Auphonic for?

1. Weekly podcast production. Set one preset, run every episode through it, get consistent loudness.
2. Remote interview merging. Sync two local recordings and level both speakers automatically.
3. Course audio. Normalise 40 lecture recordings to the same loudness without opening a DAW.
4. Radio and broadcast delivery. EBU R128 compliant -23 LUFS output with true peak limiting.
5. Show notes at scale. Transcript plus chapter markers exported alongside the audio.

Where Auphonic falls short

It is a batch processor, not an editor. You cannot cut out a rambling anecdote inside Auphonic — you edit first in Descript, Audacity or Reaper, then send the result for processing. The interface looks like 2015 and the per-file upload flow is slower than a local app.

Aggressive noise reduction adds a slight underwater artifact on quiet passages. And its denoise is not in the same league as Adobe Podcast’s Enhance Speech for genuinely bad recordings — different jobs. Auphonic is for consistency across many good-enough episodes; Adobe is for rescuing one bad file.

Quick Summary

• Auphonic is automated audio post-production from an Austrian team (launched 2011), focused on leveling and loudness normalisation.
• Free tier covers 2 hours per month; paid plans start around $11 for 9 hours.
• Supports -16, -19 and -23 LUFS targets plus multitrack merging, transcription and chapter generation.
• Best for producers who need consistency across many episodes; it cannot replace an editor for cutting content.

That heritage matters. It is not a generative model inventing a new voice; it is a competent engineer’s preset applied consistently. Episodes come out at a consistent volume week to week, which is more than most podcasters manage by hand in Audacity.

Auphonic product features

• Automatic leveling. Per-speaker gain riding so a quiet guest and a loud host land at the same perceived level.
• Loudness normalisation. Target LUFS per output — -16 for Apple Podcasts and Spotify, -19 for mono voice, -23 for broadcast.
• Noise and hum reduction. Adaptive filtering, plus separate cut controls for wind, breath and cough.
• Multitrack and multi-source merging. Combine separate local recordings (the Riverside/Zencastr pattern) with automatic sync and crosstalk handling.
• Automatic transcription and chapters. Speech-to-text in 100+ languages, speaker labels, chapter marks from silence detection or manual markers.
• Publishing integrations. Push finished episodes to a podcast host, YouTube, Dropbox or FTP via an API or webhook.

Product highlights

Pricing: free for 2 hours per month (files up to 2 hours each). Paid tiers scale by processing hours — roughly $11 for 9 hours, $22 for 20 hours, $44 for 42 hours per month. Speech recognition is metered separately as credits. A weekly hour-long show needs about 4-5 hours monthly, so the entry paid tier is enough for most independent podcasters.

Two features quietly justify the subscription. First, Multi-level filters: you stack leveling, normalize, denoise and cut filters in order and save the chain as a preset. Second, the API and watch folders — point Auphonic at a Dropbox folder and every new file is processed and published automatically. For a producer shipping three shows a week, that removes a manual step entirely.

Transcription accuracy is good on clean English, mediocre on accented audio and heavy crosstalk. It is included because it is useful for show notes, not because it competes with dedicated ASR APIs.

What can you use Auphonic for?

1. Weekly podcast production. Set one preset, run every episode through it, get consistent loudness.
2. Remote interview merging. Sync two local recordings and level both speakers automatically.
3. Course audio. Normalise 40 lecture recordings to the same loudness without opening a DAW.
4. Radio and broadcast delivery. EBU R128 compliant -23 LUFS output with true peak limiting.
5. Show notes at scale. Transcript plus chapter markers exported alongside the audio.

Where Auphonic falls short

It is a batch processor, not an editor. You cannot cut out a rambling anecdote inside Auphonic — you edit first in Descript, Audacity or Reaper, then send the result for processing. The interface looks like 2015 and the per-file upload flow is slower than a local app.

Aggressive noise reduction adds a slight underwater artifact on quiet passages. And its denoise is not in the same league as Adobe Podcast’s Enhance Speech for genuinely bad recordings — different jobs. Auphonic is for consistency across many good-enough episodes; Adobe is for rescuing one bad file.

Quick Summary

• Auphonic is automated audio post-production from an Austrian team (launched 2011), focused on leveling and loudness normalisation.
• Free tier covers 2 hours per month; paid plans start around $11 for 9 hours.
• Supports -16, -19 and -23 LUFS targets plus multitrack merging, transcription and chapter generation.
• Best for producers who need consistency across many episodes; it cannot replace an editor for cutting content.

Auphonic was built in Austria by Georg Holzmann, an audio engineer, and launched in 2011. It predates the modern AI-podcast wave by a decade — its automation is signal processing first (loudness, adaptivity, noise reduction) with speech recognition bolted on later.

That heritage matters. It is not a generative model inventing a new voice; it is a competent engineer’s preset applied consistently. Episodes come out at a consistent volume week to week, which is more than most podcasters manage by hand in Audacity.

Auphonic product features

• Automatic leveling. Per-speaker gain riding so a quiet guest and a loud host land at the same perceived level.
• Loudness normalisation. Target LUFS per output — -16 for Apple Podcasts and Spotify, -19 for mono voice, -23 for broadcast.
• Noise and hum reduction. Adaptive filtering, plus separate cut controls for wind, breath and cough.
• Multitrack and multi-source merging. Combine separate local recordings (the Riverside/Zencastr pattern) with automatic sync and crosstalk handling.
• Automatic transcription and chapters. Speech-to-text in 100+ languages, speaker labels, chapter marks from silence detection or manual markers.
• Publishing integrations. Push finished episodes to a podcast host, YouTube, Dropbox or FTP via an API or webhook.

Product highlights

Pricing: free for 2 hours per month (files up to 2 hours each). Paid tiers scale by processing hours — roughly $11 for 9 hours, $22 for 20 hours, $44 for 42 hours per month. Speech recognition is metered separately as credits. A weekly hour-long show needs about 4-5 hours monthly, so the entry paid tier is enough for most independent podcasters.

Two features quietly justify the subscription. First, Multi-level filters: you stack leveling, normalize, denoise and cut filters in order and save the chain as a preset. Second, the API and watch folders — point Auphonic at a Dropbox folder and every new file is processed and published automatically. For a producer shipping three shows a week, that removes a manual step entirely.

Transcription accuracy is good on clean English, mediocre on accented audio and heavy crosstalk. It is included because it is useful for show notes, not because it competes with dedicated ASR APIs.

What can you use Auphonic for?

1. Weekly podcast production. Set one preset, run every episode through it, get consistent loudness.
2. Remote interview merging. Sync two local recordings and level both speakers automatically.
3. Course audio. Normalise 40 lecture recordings to the same loudness without opening a DAW.
4. Radio and broadcast delivery. EBU R128 compliant -23 LUFS output with true peak limiting.
5. Show notes at scale. Transcript plus chapter markers exported alongside the audio.

Where Auphonic falls short

It is a batch processor, not an editor. You cannot cut out a rambling anecdote inside Auphonic — you edit first in Descript, Audacity or Reaper, then send the result for processing. The interface looks like 2015 and the per-file upload flow is slower than a local app.

Aggressive noise reduction adds a slight underwater artifact on quiet passages. And its denoise is not in the same league as Adobe Podcast’s Enhance Speech for genuinely bad recordings — different jobs. Auphonic is for consistency across many good-enough episodes; Adobe is for rescuing one bad file.

Quick Summary

• Auphonic is automated audio post-production from an Austrian team (launched 2011), focused on leveling and loudness normalisation.
• Free tier covers 2 hours per month; paid plans start around $11 for 9 hours.
• Supports -16, -19 and -23 LUFS targets plus multitrack merging, transcription and chapter generation.
• Best for producers who need consistency across many episodes; it cannot replace an editor for cutting content.

Auphonic is automated audio post-production for spoken content. Upload a multitrack recording and it levels speakers, removes noise hum, normalises to a target loudness (e.g. -16 LUFS for podcasts, -23 LUFS for EBU broadcast) and exports MP3 with ID3 tags. Free accounts get 2 hours of processing per month.

What is Auphonic and who made it?

Auphonic was built in Austria by Georg Holzmann, an audio engineer, and launched in 2011. It predates the modern AI-podcast wave by a decade — its automation is signal processing first (loudness, adaptivity, noise reduction) with speech recognition bolted on later.

That heritage matters. It is not a generative model inventing a new voice; it is a competent engineer’s preset applied consistently. Episodes come out at a consistent volume week to week, which is more than most podcasters manage by hand in Audacity.

Auphonic product features

• Automatic leveling. Per-speaker gain riding so a quiet guest and a loud host land at the same perceived level.
• Loudness normalisation. Target LUFS per output — -16 for Apple Podcasts and Spotify, -19 for mono voice, -23 for broadcast.
• Noise and hum reduction. Adaptive filtering, plus separate cut controls for wind, breath and cough.
• Multitrack and multi-source merging. Combine separate local recordings (the Riverside/Zencastr pattern) with automatic sync and crosstalk handling.
• Automatic transcription and chapters. Speech-to-text in 100+ languages, speaker labels, chapter marks from silence detection or manual markers.
• Publishing integrations. Push finished episodes to a podcast host, YouTube, Dropbox or FTP via an API or webhook.

Product highlights

Pricing: free for 2 hours per month (files up to 2 hours each). Paid tiers scale by processing hours — roughly $11 for 9 hours, $22 for 20 hours, $44 for 42 hours per month. Speech recognition is metered separately as credits. A weekly hour-long show needs about 4-5 hours monthly, so the entry paid tier is enough for most independent podcasters.

Two features quietly justify the subscription. First, Multi-level filters: you stack leveling, normalize, denoise and cut filters in order and save the chain as a preset. Second, the API and watch folders — point Auphonic at a Dropbox folder and every new file is processed and published automatically. For a producer shipping three shows a week, that removes a manual step entirely.

Transcription accuracy is good on clean English, mediocre on accented audio and heavy crosstalk. It is included because it is useful for show notes, not because it competes with dedicated ASR APIs.

What can you use Auphonic for?

1. Weekly podcast production. Set one preset, run every episode through it, get consistent loudness.
2. Remote interview merging. Sync two local recordings and level both speakers automatically.
3. Course audio. Normalise 40 lecture recordings to the same loudness without opening a DAW.
4. Radio and broadcast delivery. EBU R128 compliant -23 LUFS output with true peak limiting.
5. Show notes at scale. Transcript plus chapter markers exported alongside the audio.

Where Auphonic falls short

It is a batch processor, not an editor. You cannot cut out a rambling anecdote inside Auphonic — you edit first in Descript, Audacity or Reaper, then send the result for processing. The interface looks like 2015 and the per-file upload flow is slower than a local app.

Aggressive noise reduction adds a slight underwater artifact on quiet passages. And its denoise is not in the same league as Adobe Podcast’s Enhance Speech for genuinely bad recordings — different jobs. Auphonic is for consistency across many good-enough episodes; Adobe is for rescuing one bad file.

Quick Summary

• Auphonic is automated audio post-production from an Austrian team (launched 2011), focused on leveling and loudness normalisation.
• Free tier covers 2 hours per month; paid plans start around $11 for 9 hours.
• Supports -16, -19 and -23 LUFS targets plus multitrack merging, transcription and chapter generation.
• Best for producers who need consistency across many episodes; it cannot replace an editor for cutting content.