Best AI Tools to Remove Background Noise from Audio and Video Recordings
We tested seven AI audio cleanup tools on three real noisy recordings—AC + fan hum, AC-only indoor noise, and an outdoor balcony clip with birds, wind, and vehicles—to find which removes background noise best without making the speaker sound unnatural.
How We Tested
All tools were tested on the same three real-world speech recordings so results could be compared directly instead of relying on vendor demos. The benchmark covered indoor mechanical noise, simpler HVAC hum, and a harder outdoor scene with wind, birds, chair movement, and vehicle ambience. Each tool was judged on how much noise it removed, how natural the voice remained, how it handled continuous versus environmental versus transient sounds, and practical workflow factors such as format support, processing speed, and batch processing. CapCut and Premiere Pro were included as built-in editor benchmarks to see whether dedicated tools meaningfully outperformed editor-native cleanup.
The Ranking
7 toolstested head-to-head on the same input. Each card shows the verdict and per-criterion scores. Click "Full breakdown" for the artifact-level evidence.
Most balanced overall performer in the benchmark.
Solid option for creators already editing inside CapCut.
Best choice when maximum noise reduction is more important than preserving natural voice tone.
A strong cleaner for noisy recordings but sacrifices voice authenticity.
Good cleanup performance but at the cost of natural voice quality.
Best option for users prioritizing natural voice quality over aggressive noise removal.
Strong for speech enhancement but not the best standalone noise remover.
ElevenLabs Voice IsolatorBest
Elevenlabs -Voice Isolator was the best overall pick because it removed a meaningful amount of background noise while keeping the speaker's original tone more intact than the aggressive cleaners. It was consistently good across the indoor AC/fan recording, the AC-only clip, and the harder outdoor balcony sample, with especially strong results on the outdoor test.
- It consistently reduced steady background noise such as AC hum, fan noise, breathing sounds, wind, and outdoor ambience without adding obvious robotic artifacts. The strongest result came on the balcony recording, where it also reduced bird chirping and improved clarity while preserving a natural vocal tone better than most competitors.
- Its conservative approach meant some unwanted sounds survived the cleanup. Across the indoor tests, startup hiss, microphone artifacts, and a short residual noise around 0.7–0.8 seconds remained audible, and the tool offered no adjustment controls or built-in before/after comparison during testing.
On the dual-noise indoor sample, the tool lowered fan and AC noise and kept the speaker sounding close to the original, but startup hiss and microphone noise around 24–25 seconds were still audible.
On the indoor AC-hum sample, the tool reduced steady HVAC noise and breathing noise while preserving natural speech, but a noticeable short noise around 0.7–0.8 seconds still remained after processing.
This processed outdoor recording shows the tool at its best: it cleaned up wind and general outdoor ambience, reduced bird chirping, and kept the voice natural and clear instead of sounding synthetic.
CapCut
CapCut was the best built-in editor benchmark for quick creator workflows. It cleaned steady noise surprisingly well inside an editing environment, but it did not clearly beat the top dedicated tools on difficult outdoor or transient sounds.
Source video used to test CapCut's built-in cleanup against the dedicated audio tools on a noisy spoken recording.
- CapCut quickly improved everyday spoken content by reducing most continuous background noise and making speech clearer without much manual effort. For creators already editing in CapCut, it was fast, beginner-friendly, and good enough for routine cleanup.
- It was weaker on short transient noises and environmental sounds than the dedicated leaders. In the tested clip, click-like noises remained at 0:03 and 0:11–0:12, bird chirping at 0:13–0:16 was only partially removed, and the voice took on a slightly AI-enhanced timbre.
This output shows CapCut removing most steady AC, fan, breathing, and air noise from the source clip, but click-like transient noises around 0:03 and 0:11–0:12 remain audible and bird chirping around 0:13–0:16 is only partially reduced.
Adobe Podcast Enhance
Adobe Podcast Enhance was the most aggressive dedicated noise remover tested. If the goal is to make a noisy recording sound dramatically cleaner and voice authenticity is secondary, it is the strongest option in this benchmark.
- It consistently removed the widest range of unwanted sounds in the benchmark, including AC noise, fan noise, breathing, wind, bird chirping, chair movement, and minor microphone artifacts. On the outdoor recording, it delivered the cleanest overall result of any tool tested.
- The tradeoff was substantial voice alteration. Across every recording, the output sounded more processed and less like the original speaker. The free version also lacked enhancement controls and one-at-a-time processing limited workflow efficiency unless you paid for batch features.
This enhanced indoor sample demonstrates very strong removal of AC noise, fan noise, breathing sounds, and a short unwanted sound around 0:24–0:25, with the tradeoff of a more synthetic-sounding voice.
On the AC-only recording, Adobe removed most of the continuous HVAC hum and breathing noise, producing a much quieter file, but the speaker's original tone and character are clearly altered.
This outdoor result shows Adobe's strongest advantage: it removed wind, bird chirping, chair movement, and surrounding environmental noise more aggressively than the other tested tools, but the voice also sounds noticeably processed.
Cleanvoice
Cleanvoice was one of the strongest pure cleaners in the test set and offered a better workflow for multiple files, but it ranked behind Elevenlabs because the voice regularly became artificial or robotic after processing.
- It was very effective on continuous indoor noise, removing AC hum, fan noise, breathing noise, and much of the outdoor environmental bed. It also supported batch processing, making it more efficient than one-file-at-a-time tools for creators with multiple recordings.
- The main tradeoff was voice authenticity. Across all three tests, the cleaned speech sounded processed, with the AC-only sample showing the most robotic result. It also struggled more than the leaders with transient sounds such as chair movement in the outdoor clip.
This processed AC + fan recording demonstrates near-complete removal of fan noise, AC noise, breathing noise, and a microphone artifact around 0:24–0:25, but the speaker's tone is clearly altered by the cleanup.
On the steady AC-hum sample, Cleanvoice removed the constant HVAC noise and most breathing noise very effectively, but the processed voice became noticeably artificial and somewhat robotic.
This output shows Cleanvoice removing much of the outdoor ambience and bird chirping, but chair movement noise at the beginning of the recording was not fully removed and the voice sounds less natural than the source.
Auphonic
Auphonic delivered strong denoising, especially on common indoor noise, but ranked last because its voice coloration was hard to ignore and it still missed some transient sounds.
- It removed a lot of steady noise effectively, including AC hum, fan noise, hiss, breathing noise, air noise, and general outdoor ambience. The workflow was quick and it produced clearly cleaner speech than the raw recordings.
- Its aggressive processing often made the voice louder, more processed, and slightly robotic. It also left some short irregular noises behind, including residual artifacts around 0.7–0.8 seconds in the AC-only test and chair movement at the start of the outdoor recording. The free plan also added a promotional jingle to outputs.
This indoor output shows strong removal of AC noise, fan noise, hiss, breathing, and some microphone artifacts, but the cleanup also boosts and alters the voice enough to make it sound artificial.
On the AC-only recording, Auphonic reduced HVAC hum and some breathing noise, but residual noise around 0.7–0.8 seconds remains and the voice becomes noticeably colored and slightly robotic.
This output shows Auphonic removing outdoor air noise and bird chirping, but chair movement at the beginning remains and the speaker sounds louder, more processed, and less natural than the source.
Audo Studio
Audo Studio was the best pick for users who care more about sounding like themselves than about squeezing out every last bit of background noise. Its cleanup was conservative, so it ranked lower overall despite excellent voice preservation.
- It preserved the speaker's natural tone exceptionally well across all three recordings and avoided the robotic or metallic artifacts heard in stronger denoisers. It also handled steady background hum and general outdoor ambience reasonably well, especially on the balcony test.
- The cleanup was not aggressive enough for the noisiest moments. Hiss, microphone artifacts, short-duration noises, and chair movement were not fully removed, and residual HVAC noise remained in the indoor samples. It also lacked batch processing in the documented tests.
This AC + fan result demonstrates Audo Studio's overall pattern: it reduces some steady mechanical noise and keeps the voice clear and natural, but startup hiss and microphone noise around 24–25 seconds are still noticeable.
On the AC-only sample, Audo Studio lowered part of the HVAC hum and some air-related noise without making the speaker sound synthetic, but residual noise around 0.7–0.8 seconds is still audible.
This processed outdoor file shows Audo Studio reducing wind, breathing sounds, and bird chirping while keeping the voice natural, but some chair movement noise at the beginning remains.
Premiere Pro
Premiere Pro was a solid built-in option when the workflow already lives inside Adobe's editor, especially for echo and reverb cleanup, but it was not as strong as the top dedicated tools for aggressive environmental noise removal.
Source video used to benchmark Premiere Pro's speech enhancement and noise reduction on a noisy spoken recording.
- It was especially effective at removing echo and reverb and made speech clearer with very fast processing. For mild-to-moderate noise inside a professional editing workflow, it delivered useful improvement without requiring an external tool.
- It was less convincing on outdoor environmental noise and transient sounds. The benchmark output still contained bird chirping and other residual noises, and the processed voice was clearly colored, sounding deeper and more polished rather than faithful to the source.
This output shows Premiere Pro reducing general background noise and echo quickly, but residual noise remains at 0:03 and 0:11–0:12, bird chirping is still audible at 0:13–0:16, and the voice becomes deeper and more podcast-like than the original.
Final Take
ElevenLabs Voice Isolator ranks first overall by delivering the best balance across all evaluation criteria, combining excellent voice preservation, strong noise reduction, fast processing, broad format support, and batch processing. CapCut ranks second with fast performance, natural voice quality, and solid everyday noise removal, making it an excellent choice for content creators. Adobe Podcast Enhance remains the strongest tool for aggressive background noise removal but noticeably changes the speaker's original voice and lacks batch support. Cleanvoice offers excellent denoising and batch processing but produces a more processed, less natural voice. Auphonic also provides strong noise reduction but similarly sacrifices voice authenticity. Audo Studio is the best option for preserving natural voice quality, although its noise removal is more conservative and batch processing is limited. Premiere Pro performs well for echo and reverb reduction within editing workflows but offers only moderate overall noise suppression. Overall, ElevenLabs Voice Isolator is the strongest all-round performer, providing the most balanced combination of quality, efficiency, and usability across all six evaluation criteria.