[et_pb_section fb_built=”1″ custom_padding_last_edited=”on|desktop” _builder_version=”4.14.7″ _module_preset=”default” background_color=”#FFFFFF” custom_margin=”||||false|false” custom_padding=”2%|20%|2%|20%|false|true” custom_padding_tablet=”4%|0%|4%|0%|true|true” custom_padding_phone=”6%|0%|6%|0%|true|true” border_color_top=”#e1e1e1″ locked=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.14.7″ _module_preset=”7b1bf5ad-cc2a-4448-981c-4963d88bd6e8″ custom_margin=”||||false|false” custom_padding=”0px||0px||false|true” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.9.3″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.14.7″ _module_preset=”default” text_text_color=”#000000″ text_line_height=”1.8em” global_colors_info=”{}”]<\/p>\n
One-click audio cleanup is the stuff of editors’ dreams. It’s a simple way for editors to take their clients’ badly recorded audio and remove background noise, echo, clips and pops, wind, and other troublesome sounds. So we’ve tested seven AI audio cleanup tools to see which one comes out on top.<\/strong><\/p>\n Each of these services uses algorithms to make your audio quality sound like it was recorded in a quiet space with a professional microphone by an experienced engineer. Or at least, as close to that as possible.<\/p>\n Read on to hear the results from each service, compare them to my source audio, and discover some of the unique benefits and features each tool offers.<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.14.7″ _module_preset=”2514b1ee-af07-4bc3-a96b-c9aaa32f4a18″ text_text_color=”#000000″ text_font_size=”26px” width=”100%” width_tablet=”100%” width_phone=”100%” width_last_edited=”on|tablet” max_width=”100%” custom_margin=”|-54px|0px||false|false” custom_padding=”0px|||0px|false|false” global_colors_info=”{}”]<\/p>\n Table of Contents<\/strong><\/p>\n<\/div>\n<\/div>\n [\/et_pb_text][et_pb_text _builder_version=”4.14.7″ _module_preset=”2514b1ee-af07-4bc3-a96b-c9aaa32f4a18″ text_text_color=”#000000″ text_line_height=”1.8em” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_cta title=”Send Big Audio Files With Ease” button_url=”https:\/\/app.massive.io\/en\/signup” button_text=”Start for Free” module_class=”starttrial” _builder_version=”4.14.7″ _module_preset=”default” header_level=”h5″ header_font=”||||||||” header_font_size=”26px” header_line_height=”1.3em” body_line_height=”1.8em” background_color=”#202332″ use_background_color_gradient=”on” background_color_gradient_start=”#072231″ background_color_gradient_end=”#031119″ custom_button=”on” button_text_size=”18px” button_text_color=”#FFFFFF” button_bg_color=”#0472ef” button_bg_color_gradient_start=”#0472ef” button_bg_color_gradient_end=”#005dc6″ button_bg_color_gradient_direction=”90deg” button_border_width=”0px” button_font=”Roboto|700|||||||” button_custom_padding=”10px|42px|10px|42px|true|true” custom_margin=”||20px||false|false” link_option_url=”https:\/\/app.massive.io\/en\/signup” border_radii=”on|10px|10px|10px|10px” border_color_top=”#3d72e7″ border_color_left=”#3d72e7″ box_shadow_style=”preset2″ box_shadow_horizontal=”-13px” box_shadow_style_button=”preset1″ locked=”off” global_colors_info=”{}” button_border_width__hover_enabled=”on|hover” button_custom_padding__hover_enabled=”on|hover” button_custom_padding__hover=”|2em|||false|false” button_border_width__hover=”0px” button_bg_color__hover=”#005dc6″ button_bg_color__hover_enabled=”on|desktop”]<\/p>\n Need to transfer huge audio files, AAF turnovers, or entire podcast series? Get MASV.<\/p>\n [\/et_pb_cta][et_pb_code _builder_version=”4.14.7″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_code][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|desktop” _builder_version=”4.14.7″ _module_preset=”default” background_color=”#FFFFFF” custom_margin=”||||false|false” custom_padding=”2%|20%|2%|20%|false|true” custom_padding_tablet=”4%|0%|4%|0%|true|true” custom_padding_phone=”6%|0%|6%|0%|true|true” border_width_top=”1px” border_color_top=”#e1e1e1″ locked=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.14.7″ _module_preset=”7b1bf5ad-cc2a-4448-981c-4963d88bd6e8″ custom_margin=”||||false|false” custom_padding=”0px||||false|true” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.9.3″ _module_preset=”default” global_colors_info=”{}”][et_pb_text module_id=”section-one” _builder_version=”4.14.7″ _module_preset=”2514b1ee-af07-4bc3-a96b-c9aaa32f4a18″ text_text_color=”#000000″ text_line_height=”1.8em” header_2_text_color=”#000000″ global_colors_info=”{}”]<\/p>\n Before the advent of AI audio enhancer tools, the traditional approach to cleaning up problematic dialogue would have involved specialized tools, used by an experienced and knowledgeable audio engineer, requiring both time and money.<\/p>\n [\/et_pb_text][et_pb_text module_id=”physical” _builder_version=”4.14.7″ _module_preset=”default” text_text_color=”#000000″ text_line_height=”1.8em” header_4_text_color=”#444444″ background_color=”rgba(158,213,247,0.19)” custom_padding=”2%|3%|2%|3%|false|true” hover_enabled=”0″ border_width_left=”5px” border_color_left=”#3d72e7″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n \ud83d\udca1 Note<\/strong>: While these tools are super useful, if you have the resources to use the traditional approach of hiring an experienced sound designer\/audio engineer, you’ll almost certainly get superior results. There is no shortcut to having trained ears polish your audio with tools tailored for the task.<\/p>\n [\/et_pb_text][et_pb_text module_id=”section-two” _builder_version=”4.14.7″ _module_preset=”2514b1ee-af07-4bc3-a96b-c9aaa32f4a18″ text_text_color=”#000000″ text_line_height=”1.8em” header_2_text_color=”#000000″ global_colors_info=”{}”]<\/p>\n These AI audio tools offer a one-size-fits-all approach to cleaning up audio and algorithmically apply various audio tools to your clip, such as:<\/p>\n If you need decent-sounding results quickly that will prove satisfactory to your client and audience and don’t have time to hire a sound editor, then these tools will serve you well. But remember: The absolute best solution for superior audio quality is to record clean dialogue in the first place!<\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/massive.io\/wp-content\/uploads\/2024\/10\/AI-audio-cleanup.jpg” alt=”AI audio cleanup” title_text=”Empty space used for recording music on electronic tools in home studio” _builder_version=”4.14.7″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,2_3″ _builder_version=”4.14.7″ _module_preset=”7b1bf5ad-cc2a-4448-981c-4963d88bd6e8″ background_color=”#f5f5f5″ custom_margin=”||||false|false” custom_padding=”3%|3%|3%|3%|true|true” border_radii=”on|8px|8px|8px|8px” locked=”off” global_colors_info=”{}”][et_pb_column type=”1_3″ _builder_version=”4.9.3″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/massive.io\/wp-content\/uploads\/2023\/02\/audio-workflow-guide-thumbnail.jpg” alt=”Learn about an audio post-production workflow in this guide” title_text=”audio-workflow-guide-thumbnail” _builder_version=”4.14.7″ _module_preset=”default” border_radii=”on|5px|5px|5px|5px” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”2_3″ _builder_version=”4.9.3″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.14.7″ _module_preset=”2514b1ee-af07-4bc3-a96b-c9aaa32f4a18″ text_text_color=”#000000″ text_line_height=”1.8em” header_2_text_color=”#000000″ global_colors_info=”{}”]<\/p>\n A deep dive into the audio post-production workflow for film, television, and live event video.<\/p>\n Read more ><\/a><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|desktop” _builder_version=”4.14.7″ _module_preset=”default” background_color=”#FFFFFF” custom_margin=”||||false|false” custom_padding=”2%|20%|2%|20%|false|true” custom_padding_tablet=”4%|0%|4%|0%|true|true” custom_padding_phone=”6%|0%|6%|0%|true|true” border_width_top=”1px” border_color_top=”#e1e1e1″ locked=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.14.7″ _module_preset=”7b1bf5ad-cc2a-4448-981c-4963d88bd6e8″ custom_margin=”||||false|false” custom_padding=”0px||||false|true” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.9.3″ _module_preset=”default” global_colors_info=”{}”][et_pb_text module_id=”section-two” _builder_version=”4.14.7″ _module_preset=”2514b1ee-af07-4bc3-a96b-c9aaa32f4a18″ text_text_color=”#000000″ text_line_height=”1.8em” header_2_text_color=”#000000″ global_colors_info=”{}”]<\/p>\n Here’s the methodology I used to test and compare each of these AI audio enhancer tools.<\/p>\n The one-minute test audio file below features three common problematic scenarios in succession:<\/p>\n The best part is that you don’t have to take my word for it! Listen and compare the results yourself with the embedded audio files in this post. Which tool do you think delivered the best results?<\/p>\n Here is the unprocessed source test audio file<\/a>.<\/strong><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|desktop” _builder_version=”4.14.7″ _module_preset=”default” background_color=”#FFFFFF” custom_margin=”||||false|false” custom_padding=”2%|20%|2%|20%|false|true” custom_padding_tablet=”4%|0%|4%|0%|true|true” custom_padding_phone=”6%|0%|6%|0%|true|true” border_width_top=”1px” border_color_top=”#e1e1e1″ locked=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.14.7″ _module_preset=”7b1bf5ad-cc2a-4448-981c-4963d88bd6e8″ custom_margin=”||||false|false” custom_padding=”0px||||false|true” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.9.3″ _module_preset=”default” global_colors_info=”{}”][et_pb_text module_id=”section-three” _builder_version=”4.14.7″ _module_preset=”2514b1ee-af07-4bc3-a96b-c9aaa32f4a18″ text_text_color=”#000000″ text_line_height=”1.8em” header_2_text_color=”#000000″ global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text module_id=”elevenlabs” _builder_version=”4.14.7″ _module_preset=”2514b1ee-af07-4bc3-a96b-c9aaa32f4a18″ text_text_color=”#000000″ text_line_height=”1.8em” header_2_text_color=”#000000″ global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/massive.io\/wp-content\/uploads\/2024\/10\/ElevenLabs.jpeg” alt=”AI audio cleanup” title_text=”ElevenLabs” _builder_version=”4.14.7″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][et_pb_text module_id=”section-two” _builder_version=”4.14.7″ _module_preset=”2514b1ee-af07-4bc3-a96b-c9aaa32f4a18″ text_text_color=”#000000″ text_line_height=”1.8em” header_2_text_color=”#000000″ global_colors_info=”{}”]<\/p>\n Of all the tools tested for this article, the results from Elevenlabs Voice Isolator were the most impressive.<\/strong><\/p>\n Here<\/a> is how it handled my test audio.<\/strong><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.14.7″ _module_preset=”default” text_text_color=”#000000″ text_line_height=”1.8em” header_3_text_color=”#000000″ hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n The quality of the voice isolation in the initial portion of my test clip\u2014in a noisy hotel bar, recorded on my iPhone\u2014is pretty incredible. It doesn’t handle the other portions of the test clip quite as well, but it still does a very good job.<\/p>\n You currently get 60,000 processing points (about an hour of audio) to test Elevenlabs Voice Isolator. You also must create a free account.<\/p>\n Try Elevenlabs Voice Isolator<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|desktop” _builder_version=”4.14.7″ _module_preset=”default” background_color=”#FFFFFF” custom_margin=”||||false|false” custom_padding=”2%|20%|2%|20%|false|true” custom_padding_tablet=”4%|0%|4%|0%|true|true” custom_padding_phone=”6%|0%|6%|0%|true|true” border_width_top=”1px” border_color_top=”#e1e1e1″ locked=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.14.7″ _module_preset=”7b1bf5ad-cc2a-4448-981c-4963d88bd6e8″ custom_margin=”||||false|false” custom_padding=”0px||||false|true” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.9.3″ _module_preset=”default” global_colors_info=”{}”][et_pb_text module_id=”adobe” _builder_version=”4.14.7″ _module_preset=”2514b1ee-af07-4bc3-a96b-c9aaa32f4a18″ text_text_color=”#000000″ text_line_height=”1.8em” header_2_text_color=”#000000″ global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/massive.io\/wp-content\/uploads\/2024\/10\/Adobe-podcast.png” alt=”AI audio cleanup” title_text=”Adobe podcast” _builder_version=”4.14.7″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][et_pb_text module_id=”section-two” _builder_version=”4.14.7″ _module_preset=”2514b1ee-af07-4bc3-a96b-c9aaa32f4a18″ text_text_color=”#000000″ text_line_height=”1.8em” header_2_text_color=”#000000″ global_colors_info=”{}”]<\/p>\n Here<\/a> is how it handled my test audio file.<\/strong><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.14.7″ _module_preset=”default” text_text_color=”#000000″ text_line_height=”1.8em” header_3_text_color=”#000000″ global_colors_info=”{}”]<\/p>\n Adobe Podcast’s Enhance Speech is a free online audio cleanup and noise remover tool that allows you to upload 30-minute files (files must also be less than 500MB) and process one hour of audio recording time per day.<\/strong><\/p>\n The free version is limited to audio-only source files and doesn’t give control over how much processing is applied to the audio. If you pay for premium access, you can use a slider (0-100%) for a real-time preview of the effect of more or less audio enhancement.<\/p>\n Enhance Speech is very easy to use and free online access makes it a solid solution, regardless of whether you use other Adobe products.<\/p>\n From my previous experience, the results are often very good, but if too much processing is applied dialogue often becomes robotic, clipped, and distorted. This makes premium access worth considering.<\/p>\n In our test clip Enhance Speech handled the wind and background noise reduction pretty well, reducing it significantly. It’s not perfect, but it feels like a good balance of distortion-free cleanup.<\/p>\n Try Adobe Podcast – Enhance Speech<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|desktop” _builder_version=”4.14.7″ _module_preset=”default” background_color=”#FFFFFF” custom_margin=”||||false|false” custom_padding=”2%|20%|2%|20%|false|true” custom_padding_tablet=”4%|0%|4%|0%|true|true” custom_padding_phone=”6%|0%|6%|0%|true|true” border_width_top=”1px” border_color_top=”#e1e1e1″ locked=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.14.7″ _module_preset=”7b1bf5ad-cc2a-4448-981c-4963d88bd6e8″ custom_margin=”||||false|false” custom_padding=”0px||||false|true” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.9.3″ _module_preset=”default” global_colors_info=”{}”][et_pb_text module_id=”riverside” _builder_version=”4.14.7″ _module_preset=”2514b1ee-af07-4bc3-a96b-c9aaa32f4a18″ text_text_color=”#000000″ text_line_height=”1.8em” header_2_text_color=”#000000″ global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/massive.io\/wp-content\/uploads\/2024\/10\/AI-audio-cleanup3.png” alt=”AI audio cleanup” title_text=”AI audio cleanup3″ _builder_version=”4.14.7″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][et_pb_text module_id=”section-two” _builder_version=”4.14.7″ _module_preset=”2514b1ee-af07-4bc3-a96b-c9aaa32f4a18″ text_text_color=”#000000″ text_line_height=”1.8em” header_2_text_color=”#000000″ global_colors_info=”{}”]<\/p>\n Here<\/a> is how it handled the test clip.<\/strong><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.14.7″ _module_preset=”default” text_text_color=”#000000″ text_line_height=”1.8em” header_3_text_color=”#000000″ global_colors_info=”{}”]<\/p>\n Riverside.fm’s Magic Audio is an AI sound cleanup tool that applies a universal level of processing to your entire audio source. It does this to both sides of any recorded conversation as well as media you upload.<\/strong><\/p>\n One downside to Riverside’s Magic Audio feature is that there aren’t any customizable control over the strength of its application. One workaround for this is to use a blend of your original unprocessed audio and the Magic audio file to create a wet\/dry mix adjusted to the strength of each that sounds best to your ears.<\/p>\n As someone who uses Riverside to record MASV interviews with editors, I think this platform represents great value.<\/p>\n Try Riverside Magic Audio<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|desktop” _builder_version=”4.14.7″ _module_preset=”default” background_color=”#FFFFFF” custom_margin=”||||false|false” custom_padding=”2%|20%|2%|20%|false|true” custom_padding_tablet=”4%|0%|4%|0%|true|true” custom_padding_phone=”6%|0%|6%|0%|true|true” border_width_top=”1px” border_color_top=”#e1e1e1″ locked=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.14.7″ _module_preset=”7b1bf5ad-cc2a-4448-981c-4963d88bd6e8″ custom_margin=”||||false|false” custom_padding=”0px||||false|true” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.9.3″ _module_preset=”default” global_colors_info=”{}”][et_pb_text module_id=”Descript” _builder_version=”4.14.7″ _module_preset=”2514b1ee-af07-4bc3-a96b-c9aaa32f4a18″ text_text_color=”#000000″ text_line_height=”1.8em” header_2_text_color=”#000000″ global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/massive.io\/wp-content\/uploads\/2024\/10\/AI-audio-cleanup4.jpg” alt=”AI audio cleanup” title_text=”AI audio cleanup4″ _builder_version=”4.14.7″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][et_pb_text module_id=”section-two” _builder_version=”4.14.7″ _module_preset=”2514b1ee-af07-4bc3-a96b-c9aaa32f4a18″ text_text_color=”#000000″ text_line_height=”1.8em” header_2_text_color=”#000000″ global_colors_info=”{}”]<\/p>\n Descript Studio Sound is part of the larger Descript creator studio that contains numerous AI features such as text-based video and audio editing, voice cloning, an AI eye-contact feature, social media clip creation, and caption translation.<\/p>\n Here<\/a> is how it handled the test clip.<\/strong><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.14.7″ _module_preset=”default” text_text_color=”#000000″ text_line_height=”1.8em” header_3_text_color=”#000000″ global_colors_info=”{}”]<\/p>\n Even on the free tier, Descript Studio Sound gives control over the strength of the effects processing (0-100%), which you can monitor in real-time as you listen back and adjust the slider.<\/p>\n [\/et_pb_text][et_pb_text module_id=”physical” _builder_version=”4.14.7″ _module_preset=”default” text_text_color=”#000000″ text_line_height=”1.8em” header_4_text_color=”#444444″ background_color=”rgba(158,213,247,0.19)” custom_padding=”2%|3%|2%|3%|false|true” border_width_left=”5px” border_color_left=”#3d72e7″ global_colors_info=”{}”]<\/p>\n \ud83d\udca1 Note<\/strong>: Descript’s audio cleanup was almost as good as Elevenlabs, although at 100% strength you could hear numerous processing artifacts and clipping in the dialogue. But it still handles the difficult source audio with ease.<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.14.7″ _module_preset=”default” text_text_color=”#000000″ text_line_height=”1.8em” header_3_text_color=”#000000″ global_colors_info=”{}”]<\/p>\n Descript and Riverside are competitors in the race for remote recording and online editing platform supremacy, and it’s no surprise many of the same AI features can be found on both platforms.<\/p>\n Try Descript Studio Sound<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|desktop” _builder_version=”4.14.7″ _module_preset=”default” background_color=”#FFFFFF” custom_margin=”||||false|false” custom_padding=”2%|20%|2%|20%|false|true” custom_padding_tablet=”4%|0%|4%|0%|true|true” custom_padding_phone=”6%|0%|6%|0%|true|true” border_width_top=”1px” border_color_top=”#e1e1e1″ locked=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.14.7″ _module_preset=”7b1bf5ad-cc2a-4448-981c-4963d88bd6e8″ custom_margin=”||||false|false” custom_padding=”0px||||false|true” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.9.3″ _module_preset=”default” global_colors_info=”{}”][et_pb_text module_id=”lalalai” _builder_version=”4.14.7″ _module_preset=”2514b1ee-af07-4bc3-a96b-c9aaa32f4a18″ text_text_color=”#000000″ text_line_height=”1.8em” header_2_text_color=”#000000″ global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/massive.io\/wp-content\/uploads\/2024\/10\/lalal.png” alt=”AI audio cleanup” title_text=”lalal” _builder_version=”4.14.7″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][et_pb_text module_id=”section-two” _builder_version=”4.14.7″ _module_preset=”2514b1ee-af07-4bc3-a96b-c9aaa32f4a18″ text_text_color=”#000000″ text_line_height=”1.8em” header_2_text_color=”#000000″ global_colors_info=”{}”]<\/p>\n LALAL.AI has developed several machine-learning models<\/a> for splitting music tracks into their composite instruments and vocals, which is exceptionally useful if your client can’t find a music-free master to work with when digging in the archive<\/a>!<\/p>\n They have since developed a dialogue cleanup tool to help remove noise, which you can try for free without signing up, but if you want to download your test output you will need a paid account.<\/p>\n Here<\/a> is how it handled the test clip.<\/strong><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.14.7″ _module_preset=”default” text_text_color=”#000000″ text_line_height=”1.8em” header_3_text_color=”#000000″ global_colors_info=”{}”]<\/p>\n The drag-and-drop free tester on lalal.ai gives quite a bit of control over voice cleaner effect processing. You can choose between two different models\u2014v3 Phoenix, and v4 Orion\u2014as well as three levels of noise reduction. There is also a beta de-echo feature which made my test clip sound much better.<\/p>\n I configured the test clip above to V4 Orion, mild, with de-echo applied.<\/p>\n It’s also helpful that you can listen to the noise portion of the extraction to see how much of your dialogue source has bled into that side at different effect strengths.<\/p>\n Try LALAL.AI<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|desktop” _builder_version=”4.14.7″ _module_preset=”default” background_color=”#FFFFFF” custom_margin=”||||false|false” custom_padding=”2%|20%|2%|20%|false|true” custom_padding_tablet=”4%|0%|4%|0%|true|true” custom_padding_phone=”6%|0%|6%|0%|true|true” border_width_top=”1px” border_color_top=”#e1e1e1″ locked=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.14.7″ _module_preset=”7b1bf5ad-cc2a-4448-981c-4963d88bd6e8″ custom_margin=”||||false|false” custom_padding=”0px||||false|true” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.9.3″ _module_preset=”default” global_colors_info=”{}”][et_pb_text module_id=”altered” _builder_version=”4.14.7″ _module_preset=”2514b1ee-af07-4bc3-a96b-c9aaa32f4a18″ text_text_color=”#000000″ text_line_height=”1.8em” header_2_text_color=”#000000″ global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/massive.io\/wp-content\/uploads\/2024\/10\/AI-audio-cleanup6.jpg” alt=”AI audio cleanup” title_text=”AI audio cleanup6″ _builder_version=”4.14.7″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][et_pb_text module_id=”section-two” _builder_version=”4.14.7″ _module_preset=”2514b1ee-af07-4bc3-a96b-c9aaa32f4a18″ text_text_color=”#000000″ text_line_height=”1.8em” header_2_text_color=”#000000″ global_colors_info=”{}”]<\/p>\n Altered Studio aims to be a dominant platform for voice creation and cloning, with some interesting AI tools such as voice-to-voice generation (post-production morphing), which can transform an actor’s original performance into a brand-new voice. For human voiceover artists, this could be a huge benefit.<\/p>\n There are several AI cleanup and noise removal effects as part of their browser-based voice editing studio.<\/p>\n Here<\/a> is how it handled the my test audio.<\/strong><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.14.7″ _module_preset=”default” text_text_color=”#000000″ text_line_height=”1.8em” header_3_text_color=”#000000″ global_colors_info=”{}”]<\/p>\n Of all the tools in this list, Altered Studio’s AI Voice Cleaner was by far the least intuitive to use but was very effective.<\/p>\n To apply the effect<\/a> you need to select a portion in the editor timeline, right-click and choose Add Effect > AI Voice Cleaner. This feels overly complicated compared to other tools we tested.<\/p>\n I set my processing to include only ‘remove background noise’ and ‘remove mouth clicks’, although the tool will also remove filler words (ums, ahs etc.) and trim out silent moments. It did a very good job providing clean audio, especially on the tricky final portion where I’m recording into my iPhone on a windy street.<\/p>\n Try Altered Studio AI Voice Cleaner<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|desktop” _builder_version=”4.14.7″ _module_preset=”default” background_color=”#FFFFFF” custom_margin=”||||false|false” custom_padding=”2%|20%|2%|20%|false|true” custom_padding_tablet=”4%|0%|4%|0%|true|true” custom_padding_phone=”6%|0%|6%|0%|true|true” border_width_top=”1px” border_color_top=”#e1e1e1″ locked=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.14.7″ _module_preset=”7b1bf5ad-cc2a-4448-981c-4963d88bd6e8″ custom_margin=”||||false|false” custom_padding=”0px||||false|true” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.9.3″ _module_preset=”default” global_colors_info=”{}”][et_pb_text module_id=”davinci” _builder_version=”4.14.7″ _module_preset=”2514b1ee-af07-4bc3-a96b-c9aaa32f4a18″ text_text_color=”#000000″ text_line_height=”1.8em” header_2_text_color=”#000000″ global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/massive.io\/wp-content\/uploads\/2024\/10\/AI-audio-cleanup7.png” alt=”AI audio cleanup” title_text=”AI audio cleanup7″ _builder_version=”4.14.7″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][et_pb_text module_id=”section-two” _builder_version=”4.14.7″ _module_preset=”2514b1ee-af07-4bc3-a96b-c9aaa32f4a18″ text_text_color=”#000000″ text_line_height=”1.8em” header_2_text_color=”#000000″ global_colors_info=”{}”]<\/p>\n DaVinci Resolve Studio has a native AI dialogue cleanup and noise removal effect called Voice Isolator. This effect is only available in the paid version of the app, but it’s also very easy to apply and delivers solid results.<\/p>\n Here<\/a> is how it handled the test clip.<\/strong><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.14.7″ _module_preset=”default” text_text_color=”#000000″ text_line_height=”1.8em” header_3_text_color=”#000000″ global_colors_info=”{}”]<\/p>\n I was genuinely surprised by the real-time playback of the effect and how good the results sound. There’s a bit more sibilance (high-frequency “s” sounds) in the middle section of the test clip compared to other cleanup tools.<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.14.7″ _module_preset=”default” text_text_color=”#000000″ text_line_height=”1.8em” header_3_text_color=”#000000″ global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_video src=”https:\/\/youtu.be\/gEoiM3_ZqPg?si=XACpuoRs5RsGppav” _builder_version=”4.14.7″ _module_preset=”default” box_shadow_style=”preset2″ locked=”off” global_colors_info=”{}”][\/et_pb_video][et_pb_text _builder_version=”4.14.7″ _module_preset=”default” text_text_color=”#000000″ text_line_height=”1.8em” header_3_text_color=”#000000″ global_colors_info=”{}”]<\/p>\n Applying the voice isolation effect to remove noise is incredibly simple. Just toggle ‘Voice Isolation’ on in the Audio tab of the Inspector (you also have control over the strength of the effect).<\/p>\n One of the huge benefits to using this effect in DaVinci Resolve, assuming you’re also editing or doing audio work in Resolve, is that there is no round-trip to a third-party platform. This also keeps any sensitive media securely stored on your local drive.<\/p>\n The effect also plays back in real-time on my aging i7 Macbook Pro, which is really helpful for finding the sweet spot for the strength of the effect. In my processing I left it at 100%.<\/p>\n Of all the tools in this list DaVinci Resolve Studio would obviously have the highest up-front cost, but you’re also buying a massive post-production suite at the same time.<\/p>\n\n
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Why Use AI Audio Cleanup Tools?<\/h2>\n
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Audio Post-Production Workflow Guide<\/h4>\n
How We Tested The Tools<\/h2>\n
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The Top AI Audio Cleanup Tools in 2024<\/h2>\n
ElevenLabs – Voice Isolator<\/h3>\n
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Adobe Podcast – Enhance Speech<\/h3>\n
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Riverside.fm – Magic Audio<\/h3>\n
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Descript – Studio Sound<\/h3>\n
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LALAL.AI – Voice Cleaner<\/h3>\n
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Altered Studio – Voice Cleaner<\/h3>\n
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DaVinci Resolve Studio – Voice Isolator<\/h3>\n
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Applying voice isolation in DaVinci Resolve<\/h3>\n