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Adobe Podcast Enhance

Benchmark-leading one-click cleanup for noisy speech, if you can accept a more processed voice.

Visit Adobe Podcast Enhance
AC + fan cleanupOutdoor birds + windProcessed voice tradeoffFree plan: one file at a time
TL;DR — our verdictUpdated August 2026 · 6 test artifacts

Strongest cleanup engine, but it reshapes the voice

Where it wins
  • You want the cleanest automatic cleanup for noisy speech and can accept a more processed voice.
  • Your recordings have steady environmental noise like AC hum, fan noise, breathing, wind, chair movement, or bird chirps.
  • You want a simple upload-and-enhance workflow without manual noise tuning.
Main limitation
  • Preserving the speaker's original tone and natural character is critical.
Pricing (verified plans)
Free 0Premium plan $9.99 / month
Strongest test artifacts
Speech Enhancement and Noise Removal →Enhanced WAV →

Feature scores on this page: 9.2/10 (1 scored feature)

Our take

Adobe Podcast Enhance was the strongest performer in this benchmark overall. Across the tested AC/fan, AC-only, and balcony-noise recordings, it consistently removed background noise very effectively and kept speech intelligible. The tradeoff was equally consistent: the cleaned voice sounded more processed and less natural than the source.

Download video: Demo videoWatch video (streaming): Demo video
Screen recording of the Adobe Podcast Enhance workflow used in testing.

In-Depth Review

Our detailed analysis of Adobe Podcast Enhance — features, performance, and real-world testing.

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AI Demos Team
Expert Reviewer
Verified Review

Feature-by-Feature Breakdown

Speech Enhancement and Noise Removal
Excellent at removing steady indoor noise and outdoor environmental noise, but it does so aggressively enough to change vocal tone.
9.2/10
▾
Test Summary
Feature tested: Speech Enhancement and Noise Removal
Result: Passed (9.2/10) — Excellent at removing steady indoor noise and outdoor environmental noise, but it does so aggressively enough to change vocal tone.

Feature tested: Speech Enhancement and Noise Removal

Result: Passed (9.2/10)

Verdict: Excellent at removing steady indoor noise and outdoor environmental noise, but it does so aggressively enough to change vocal tone.

Expected behavior: Adobe Podcast Enhance cleans speech recordings by isolating the voice and suppressing background noise in one pass. In testing, it was run on noisy indoor clips with AC/fan hum, breathing, brief unwanted sounds, and outdoor audio with wind, chair movement, and birds.

Test case: Audio file → Audio file

Input type: Audio file

Input used: Input artifact (Audio file): AC And Fan Noise — AI demos direction ac and fan on.wav

Observed output: Output artifact (Audio file): Removed constant fan and AC noise, breathing, and a brief unwanted sound around 0:24–0:25. Speech stayed clear, but the voice sounded noticeably more processed and less natural than the source. — AI demos direction ac and fan on-enhanced- Adobe Podcast Enhance.wav

Input artifact: Input artifact (Audio file): AC And Fan Noise — AI demos direction ac and fan on.wav

Output artifact: Output artifact (Audio file): Removed constant fan and AC noise, breathing, and a brief unwanted sound around 0:24–0:25. Speech stayed clear, but the voice sounded noticeably more processed and less natural than the source. — AI demos direction ac and fan on-enhanced- Adobe Podcast Enhance.wav

What changed: Audio file transformed into Audio file

Test case: Audio file → Audio file

Input type: Audio file

Input used: Input artifact (Audio file): AC Noise — Ai direction ac on fan off noise from noise.wav

Observed output: Output artifact (Audio file): Removed most AC background noise and breathing noise. The result was much quieter and still understandable, but the speaker's tone changed noticeably and sounded more processed. — Ai direction ac on fan off noise from noise-enhanced-Adobe Podcast Enhance.wav

Input artifact: Input artifact (Audio file): AC Noise — Ai direction ac on fan off noise from noise.wav

Output artifact: Output artifact (Audio file): Removed most AC background noise and breathing noise. The result was much quieter and still understandable, but the speaker's tone changed noticeably and sounded more processed. — Ai direction ac on fan off noise from noise-enhanced-Adobe Podcast Enhance.wav

What changed: Audio file transformed into Audio file

Test case: Audio file → Audio file

Input type: Audio file

Input used: Input artifact (Audio file): Outside In Balcony Noise — Outside in balcony birds vehicles and surrounding noise.wav

Observed output: Output artifact (Audio file): Removed chair noise, air/wind noise, and bird chirping in the outdoor recording. Speech remained intelligible, but the enhanced voice lost some of its natural character and sounded AI-processed. — Outside in balcony birds vehicles and surrounding noise-enhanced-Adobe Podcast Enhance.wav

Input artifact: Input artifact (Audio file): Outside In Balcony Noise — Outside in balcony birds vehicles and surrounding noise.wav

Output artifact: Output artifact (Audio file): Removed chair noise, air/wind noise, and bird chirping in the outdoor recording. Speech remained intelligible, but the enhanced voice lost some of its natural character and sounded AI-processed. — Outside in balcony birds vehicles and surrounding noise-enhanced-Adobe Podcast Enhance.wav

What changed: Audio file transformed into Audio file

Why it matters / Conclusion: This was the strongest raw cleanup engine in the benchmark: it handled AC hum, fan noise, breathing, wind, chair movement, and birds very well, but it consistently made the speaker sound more AI-processed.

Adobe Podcast Enhance cleans speech recordings by isolating the voice and suppressing background noise in one pass. In testing, it was run on noisy indoor clips with AC/fan hum, breathing, brief unwanted sounds, and outdoor audio with wind, chair movement, and birds.

audio
0:00 / 0:00
Loading audio...
AC And Fan Noise
↓
audio
0:00 / 0:00
Loading audio...
Removed constant fan and AC noise, breathing, and a brief unwanted sound around 0:24–0:25. Speech stayed clear, but the voice sounded noticeably more processed and less natural than the source.
audio
0:00 / 0:00
Loading audio...
AC Noise
↓
audio
0:00 / 0:00
Loading audio...
Removed most AC background noise and breathing noise. The result was much quieter and still understandable, but the speaker's tone changed noticeably and sounded more processed.
audio
0:00 / 0:00
Loading audio...
Outside In Balcony Noise
↓
audio
0:00 / 0:00
Loading audio...
Removed chair noise, air/wind noise, and bird chirping in the outdoor recording. Speech remained intelligible, but the enhanced voice lost some of its natural character and sounded AI-processed.
Bottom Line
This was the strongest raw cleanup engine in the benchmark: it handled AC hum, fan noise, breathing, wind, chair movement, and birds very well, but it consistently made the speaker sound more AI-processed.
From our researchearlier researchRemove Background Noise from Audio and Video Recordings Using AI
Audio File Import Support
▾
Test Summary
Feature tested: Audio File Import Support
Result: Partial

Feature tested: Audio File Import Support

Result: Partial

Expected behavior: Adobe Podcast Enhance accepts common audio formats including WAV, MP3, FLAC, and AAC. Hands-on testing confirmed that WAV files uploaded and processed successfully.

Test case: Audio file → Audio file

Input type: Audio file

Input used: Input artifact (Audio file): AC And Fan Noise — AI demos direction ac and fan on.wav

Observed output: Output artifact (Audio file): WAV input processed successfully; the report also states support for MP3, FLAC, and AAC. — AI demos direction ac and fan on-enhanced- Adobe Podcast Enhance.wav

Input artifact: Input artifact (Audio file): AC And Fan Noise — AI demos direction ac and fan on.wav

Output artifact: Output artifact (Audio file): WAV input processed successfully; the report also states support for MP3, FLAC, and AAC. — AI demos direction ac and fan on-enhanced- Adobe Podcast Enhance.wav

What changed: Audio file transformed into Audio file

Test case: Audio file → Audio file

Input type: Audio file

Input used: Input artifact (Audio file): AC Noise — Ai direction ac on fan off noise from noise.wav

Observed output: Output artifact (Audio file): WAV input processed successfully without format issues. — Ai direction ac on fan off noise from noise-enhanced-Adobe Podcast Enhance.wav

Input artifact: Input artifact (Audio file): AC Noise — Ai direction ac on fan off noise from noise.wav

Output artifact: Output artifact (Audio file): WAV input processed successfully without format issues. — Ai direction ac on fan off noise from noise-enhanced-Adobe Podcast Enhance.wav

What changed: Audio file transformed into Audio file

Test case: Audio file → Audio file

Input type: Audio file

Input used: Input artifact (Audio file): Outside In Balcony Noise — Outside in balcony birds vehicles and surrounding noise.wav

Observed output: Output artifact (Audio file): WAV input processed successfully without format issues. — Outside in balcony birds vehicles and surrounding noise-enhanced-Adobe Podcast Enhance.wav

Input artifact: Input artifact (Audio file): Outside In Balcony Noise — Outside in balcony birds vehicles and surrounding noise.wav

Output artifact: Output artifact (Audio file): WAV input processed successfully without format issues. — Outside in balcony birds vehicles and surrounding noise-enhanced-Adobe Podcast Enhance.wav

What changed: Audio file transformed into Audio file

Why it matters / Conclusion: WAV worked in testing; the broader format list comes from the report and was not separately re-tested file by file.

Adobe Podcast Enhance accepts common audio formats including WAV, MP3, FLAC, and AAC. Hands-on testing confirmed that WAV files uploaded and processed successfully.

audio
0:00 / 0:00
Loading audio...
AC And Fan Noise
↓
audio
0:00 / 0:00
Loading audio...
WAV input processed successfully; the report also states support for MP3, FLAC, and AAC.
audio
0:00 / 0:00
Loading audio...
AC Noise
↓
audio
0:00 / 0:00
Loading audio...
WAV input processed successfully without format issues.
audio
0:00 / 0:00
Loading audio...
Outside In Balcony Noise
↓
audio
0:00 / 0:00
Loading audio...
WAV input processed successfully without format issues.
Bottom Line
WAV worked in testing; the broader format list comes from the report and was not separately re-tested file by file.
From our researchearlier researchRemove Background Noise from Audio and Video Recordings Using AI
Batch Processing
▾
Test Summary
Feature tested: Batch Processing
Result: Partial

Feature tested: Batch Processing

Result: Partial

Expected behavior: The free version only processes one file at a time, while batch uploads are available on a paid subscription. The card reports multi-file cleanup as a paid workflow rather than a free one.

Test case: Text prompt → Text prompt

Input type: Text prompt

Input used: Input artifact (Text prompt): Input

Observed output: Output artifact (Text prompt): Output

Input artifact: Input artifact (Text prompt): Input

Output artifact: Output artifact (Text prompt): Output

What changed: Text prompt transformed into Text prompt

Why it matters / Conclusion: Batching is not a free workflow here; if you need multi-file cleanup, the report says you have to pay.

The free version only processes one file at a time, while batch uploads are available on a paid subscription. The card reports multi-file cleanup as a paid workflow rather than a free one.

INPUT
INPUT: batch processing / multiple-file upload workflow on the free plan
↓
OUTPUT
Free version only allows one file at a time. Batch uploads require a paid subscription.
Bottom Line
Batching is not a free workflow here; if you need multi-file cleanup, the report says you have to pay.
From our researchearlier researchRemove Background Noise from Audio and Video Recordings Using AI

Pricing & Access

Free
0
Enhance Speech - Enhance audio only, no video support. No bulk processing, upload one at a time. No strength adjustment. 30 minutes max duration (up to 500 MB), 1 hour max per day. Studio - Download projects up to 30 minutes, 2 projects per day. No download of original recordings. Podcast branded audiograms.
Premium plan
$9.99 / month
Enhance Speech - Enhance Speech fixes audio problems after the fact, no perfect mic needed. Video support for MP4, MOV, and more. Bulk upload files for enhancement. Adjust speech, music, and ambience for a more natural sound. Enhance up to 4 hours a day, files up to 1 GB. Studio - No download limits on Studio projects. Download original recordings, speaker-separated. Customize audiograms and captions with themes. Upload custom backgrounds for audiograms.
✓ Use This If
●You want the cleanest automatic cleanup for noisy speech and can accept a more processed voice.
●Your recordings have steady environmental noise like AC hum, fan noise, breathing, wind, chair movement, or bird chirps.
●You want a simple upload-and-enhance workflow without manual noise tuning.
✕ Skip This If
●Preserving the speaker's original tone and natural character is critical.
●You need free batch processing for multiple files.
●You specifically need confirmed video-file cleanup; this report documents audio cleanup, not cleaned video exports.
●You need adjustable enhancement strength in the free version.
audio-speechaudio-editoraudioCreatorEditorTeacher
Very well. In the AC/fan tests, it removed constant background noise, breathing, and a brief unwanted sound while keeping speech clear.
Yes. In the balcony test, it removed chair noise, air/wind noise, and bird chirping, and the speech remained intelligible.
Not fully. Across all three tests, the tool noticeably changed the voice tone and made it sound more processed and less natural than the original.
The report says Adobe Podcast Enhance supports WAV, MP3, FLAC, and AAC. WAV was directly verified in hands-on testing.
About 1–2 minutes per clip. The report gives that range for the tested files, including 2.27-minute and 3-minute recordings.
Only on a paid subscription. The free version only allows one file at a time.
No. This report documents audio cleanup only, so cleaned video exports were not verified in the research.

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