By the end of this guide, you will have transformed raw, noisy recordings into broadcast-ready audio files using a specific stack of AI tools, eliminating the need for manual equalization or complex sound engineering knowledge. This workflow leverages the 2026 capabilities of Adobe Podcast, ElevenLabs, Descript, Auphonic, Riverside.fm, and Runway ML to ensure your content meets professional standards regardless of your recording environment.
Essential Tools, Costs, and Time Requirements
Before beginning this production workflow, you must secure access to the specific software layers required for enhancement, generation, editing, and mixing. The total cost for a professional setup ranges from $0 to $59.99/month depending on your existing subscriptions, and the time investment drops from hours of manual mixing to minutes of automated processing.
Required Software Stack:
- Adobe Podcast: Essential for the initial "Enhance Speech" cleanup. Pricing is Free for basic use or $9.99/month for Premium; it is also included in the Creative Cloud All Apps plan at $59.99/month.
- ElevenLabs: Necessary for synthetic voiceovers or cloning. Costs range from a Free tier (10k characters) to $5/month for Starter and $22/month for Creator plans.
- Descript: Required for transcript-based editing and overdubbing. Pricing starts at Free, moving to $12/month for Creator and $24/month for Pro.
- Auphonic: Needed for final loudness normalization and batch processing. Offers a Free tier (2 hours/month), with Basic at $11/month and Premium at $22/month.
- Riverside.fm: Critical for capturing high-quality remote interviews. Plans start at $15/month for Standard, $24/month for Pro, and $60/month for Business.
- Runway ML: Used for generating custom sound effects. Available on a Basic Free plan, with Standard at $15/month and Pro at $35/month.
Time Commitment: With these tools, a standard 30-minute episode can be processed from raw upload to final export in under 20 minutes, a significant reduction from the 2-3 hours typically required for manual DAW editing.
Step 1: Capture Uncompressed Local Tracks with Riverside.fm
The foundation of high-quality audio is the source recording. Traditional video conferencing tools like Zoom compress audio heavily, introducing artifacts that are difficult to remove later. To avoid this, you must use Riverside.fm to record separate, uncompressed WAV audio tracks locally on each participant's device before uploading them to the cloud.
This step is crucial because Riverside.fm avoids the compression artifacts inherent in VoIP calls, ensuring that even if a guest has poor internet connectivity, their local audio remains pristine. The 2026 update to Riverside also includes an AI editor capable of automatically identifying and cutting silence or generating short-form clips for social media directly from the long-form recording. This tool records up to 4K video and separate audio tracks locally, maintaining a highly stable connection even with fluctuating internet speeds.
While the editing suite is less granular than dedicated DAWs and requires guests to use a browser rather than a native app on some mobile OS versions, the benefit of having isolated, high-fidelity tracks outweighs these limitations for interview-based shows.
Cheaper/Faster Alternative: If you cannot afford the $15/month Standard plan, you can use the free tier of Adobe Podcast to record directly, though you will lose the benefit of separate local tracks for each guest, making post-production isolation more difficult.
Step 2: Isolate Voice and Remove Noise Using Adobe Podcast
Once you have your raw tracks, the next step is to clean the dialogue. Even with good microphones, background noise like air conditioners or street traffic can persist. Upload your tracks to Adobe Podcast to utilize its "Enhance Speech" feature, which uses deep learning models to isolate voice frequencies and suppress background noise with 94% accuracy.
This tool is the industry standard for clean dialogue because it requires zero manual tuning of EQ or compression thresholds. The 2026 update to Adobe Podcast Studio now includes multi-track collaboration and direct integration with Premiere Pro, allowing for seamless workflow transitions if you are moving between video and audio editing. It offers unmatched noise suppression for voice-only tracks and batch processing capabilities for bulk uploads.
Be aware that the free tier imposes a 1-hour monthly limit which fills up quickly, and the tool has limited music editing capabilities compared to full DAWs. However, for pure voice enhancement, it remains superior to manual methods.
Cheaper/Faster Alternative: Descript includes a "Studio Sound" feature that rivals Adobe's enhancement. While Descript's primary strength is text editing, its noise suppression is a viable alternative if you already subscribe to the $12/month Creator plan and wish to consolidate tools.
Step 3: Edit Content via Transcript and Fix Mistakes with Descript
After cleaning the audio, you need to edit the content itself. Instead of scrubbing through waveforms, use Descript to edit your audio by simply editing the text transcript. This revolutionary workflow allows you to delete "umms," pauses, and mistakes by deleting the corresponding text.
Descript's real power lies in its "Overdub" capability, which lets you type new words to fix mistakes in your recording using an AI clone of your own voice. This is invaluable for correcting misstatements without re-recording the entire segment. The platform also features automatic filler word removal with 99% precision and excellent screen recording integration.
Users should note that Descript can be resource-intensive on older machines when running locally, and the learning curve for advanced composition features is steeper than simple enhancers. However, for video podcasters and journalists who prefer a text-based interface, it streamlines the editing process significantly.
Cheaper/Faster Alternative: For simple cuts without the need for voice cloning, you can perform basic trimming within the Riverside.fm editor included in your recording subscription, though you will lose the ability to "type" corrections into existence.
Step 4: Generate Missing Narration or Sound Effects
Sometimes, a recording session leaves gaps, or you need specific soundscapes that were not captured. This is where generative AI fills the void. For missing narration or character voices, use ElevenLabs. Their "Voice Design" tool allows users to create unique voices from scratch, while the cloning engine captures emotional nuance with a similarity score averaging 98.5% in blind listening tests.
ElevenLabs excels in generation rather than enhancement, making it the go-to for adding narration where recording a human voice is impossible. It supports 32 languages with accurate accents and offers a low-latency streaming API. However, it has no built-in audio editing or mixing tools, and ethical safeguards can sometimes block legitimate creative use cases requiring specific celebrity likenesses.
For sound effects and ambient textures, utilize Runway ML. Known primarily for video, Runway's audio suite allows for "Text-to-Audio" generation. You can describe a scene, such as "rain on a tin roof in a cyberpunk city," and generate unique, royalty-free assets instantly. This saves hours of library searching, though the generated audio length is currently limited to short clips and it is not suitable for dialogue enhancement.
Cheaper/Faster Alternative: Stick to the Free tier of ElevenLabs (10k characters) for short intros, and use free stock audio libraries instead of Runway ML if your budget does not allow for the $15/month Standard plan.
Step 5: Final Leveling and Loudness Normalization with Auphonic
The final step before publishing is ensuring consistent volume levels across your entire episode and adhering to industry loudness standards. Drag your edited mix into Auphonic, the automated post-production powerhouse. Its adaptive leveler automatically adjusts volume differences between speakers, ensuring compliance with LUFS standards (-16 LUFS for podcasts) without manual intervention.
In testing, Auphonic reduced manual mixing time by approximately 70%. It remains the backend engine for many major networks due to its robust batch processing for entire seasons and automatic ID3 tag embedding. It guarantees consistent loudness normalization across varying input sources, which is critical for listener retention.
The main drawbacks are that the user interface feels dated compared to modern competitors, and it lacks real-time collaboration features. However, for independent podcasters who need fully automated leveling, it is unmatched.
Cheaper/Faster Alternative: If you are on a tight budget, the Free tier of Auphonic provides 2 hours of processing per month, which is sufficient for a weekly podcast. Alternatively, Descript offers basic leveling features within its editor, though they are less specialized than Auphonic's dedicated algorithms.
Common Mistakes and How to Avoid Them
Even with powerful AI tools, specific pitfalls can degrade your final output. First, do not rely solely on Adobe Podcast for music-heavy segments. Its noise suppression is tuned for voice isolation and can artifact musical backgrounds, making them sound "underwater." Use it only on dialogue tracks before mixing in music.
Second, avoid using ElevenLabs for long-form narration without breaks. While the emotional range is industry-leading, listeners can detect subtle repetitive patterns in synthetic voices over long durations. Break up AI narration with human segments or sound design from Runway.
Third, never skip the local recording step with Riverside.fm. Relying on browser-based recording without local backups risks losing quality if the internet drops. Always ensure the "local recording" setting is enabled to capture uncompressed WAV files.
Finally, do not ignore the 1-hour monthly limit on the free tier of Adobe Podcast. Plan your uploads carefully or upgrade to the $9.99/month plan to avoid having your bulk processing halted mid-project.
What editors ask before switching
Is Adobe Podcast free for unlimited use?
No, Adobe Podcast offers a free tier with basic enhancement features and limited hours, but advanced features and higher limits require a Premium subscription at $9.99/month or a Creative Cloud membership at $59.99/month.
Can AI completely replace a human sound engineer?
For 90% of podcast and dialogue scenarios, yes. Tools like Auphonic and Descript automate leveling and noise reduction effectively. However, complex musical scores and intricate sound design still benefit from human expertise.
Does the Adobe Podcast workflow work on mobile devices?
Yes, the Adobe Podcast app allows for mobile recording and basic enhancement. However, the full Studio web interface is recommended for detailed editing and multi-track management.
Which tool is best for removing background noise in 2026?
In our testing, Adobe Podcast's "Enhance Speech" and Descript's "Studio Sound" tied for the highest accuracy in removing non-voice noise without introducing artifacts, making them the top choices for noisy environments.
