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Loudness normalization
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Yonatan Fisher๐ 12 karmaNov 5, 2025@MixMaster ProAn amazing and simple tool
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Great for automating podcast mastering. Voicecrush takes care of removing "em, eh, รคh, um" etc. Also: my recording setup has some subtle background noise / hum, which cause I never was able to identify, nor able to get rid of with typical audio software. I don't know how Voice Crush accomplishes it, but I guess its AI features are doing an awesome job of filtering out these noises and distortions from hour-long recordings flawlessly.
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Hey Guys! ๐ I built TonesMatch because chasing guitar tone is still way too messy. Most guitarists have done the same thing: search โMetallica amp settingsโ or โHotel California guitar tone,โ copy some random settings from a forum, and then realize they do not really work on their own amp. The problem is that tone settings are not universal. A Marshall Plexi, Boss Katana, Fender Blues Jr, and Line 6 Helix all respond differently. A general AI tool might suggest a channel, knob, or setting that sounds right in theory but does not even exist on your gear. TonesMatch solves this by combining researched real-world tone data with gear-aware AI. You type a song, choose your guitar, amp, and pedals, and TonesMatch adapts the target tone to your actual rig. It gives you practical settings you can actually dial in: amp channel, gain, EQ, pickup position, effects, and pedal chain suggestions. What makes it different: - Built on researched tone and gear data, not generic guesses - Adapts settings to your specific guitar, amp, pickups, and pedals - Supports both guitar and bass - Avoids recommending controls that do not exist on your amp - Includes a growing database of 13,000+ researched tones Would love feedback from guitarists, bassists, producers, and anyone who has ever spent too long chasing the perfect tone. Thanks for checking it out!
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MongoDB - Build AI That Scales๐๏ธ Database -
It did nothing after more than 20 minutes on a 90 seconds audio...
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High-quality stem splitting and voice cloning based on the world's #1 technologyOpenDecent stem splitting, but no better than free options, and definitely not worth paying for. The sound quality is so poor you cannot really use the output for anything apart from making karaoke tracks for personal enjoyment. Don't even think of using Lalal if you're a professional producer who needs to split a mixed song due to lost stems etc.
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Hi, Weโre truly sorry to hear that you had a less-than-satisfactory experience with our product. Your feedback is very important to us, and we sincerely apologize for any inconvenience caused. If youโre encountering any specific issues or have suggestions for improvement, please donโt hesitate to reach out to us at [email protected]. Our team is committed to addressing your concerns and will do our best to assist you promptly. Weโre always working to improve, and your input helps us get better. Thank you for giving us the opportunity to do so.
Other tools
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I highly recommend xound.io for its voice enhancement quality ๐
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Is this a joke? creator of this web must be deaf, otherwise i honestly don't understand how he/she can make that absolute crap
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I enjoyed the experience and it certainly cleaned up my audio files. I really wanted to find an AI driven auto-tuning app that would clean up my vocals. But haven't found one yet.
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Privacy Nightmare. Your content will belong to Adobe.
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I love LANDR. The mastering is top-notch and they distribute music very quickly.
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nice for sound play. took out clean vocals from a track.
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I would not sign into Songdonkey as it was forcing me to allow notifications to do so.

