LALAL.AI ads

A few weeks left until IBC - International Broadcasting Convention 2026 in Amsterdam. 📅 September 11–14, RAI Amsterdam 📍 Stand 14.C45, Hall 14, Future Tech Anastasiia S., our business development manager, and the LALAL.AI team will be there, ready to walk you through the products live. What's waiting for you at the stand: 🎧 Live demo on headphones. We process audio on the spot, tailored to your case: — Voice Cleaner, the go-to tool for broadcast, post-production, dubbing, and localization — Voice Cloner, a tool for a consistent voice across long-running series and audiobooks where the voice can't shift from one episode to the next — Voice Changer, speech-to-speech re-voicing of already recorded speech using a voice pack built in Voice Cloner ⚙️ NEW! We'll show a device, which runs on our Stem Splitter on Lyra (new on-device stem separation model) to showcase that LALAL.AI can now live inside hardware too and process audio offline, instantly. Besides, we'll help you find the right product for your case, answer questions on pricing, technology, and talk through how it fits into your pipeline. Book a meeting with Anastasiia ahead of time: https://lnkd.in/emdZau9f See you in Hall 14!

We're heading to IBC - International Broadcasting Convention, how to meet LALAL.AI at the conference? Our Head of Business Development, Anastasiia S., will be at IBC along with other team members to demonstrate how LALAL.AI can be helpful for localization, dubbing, and post-production pipelines. The last couple of years have been quite fruitful in terms of product releases, so we're excited to give real-time demos of our VST plugin, Voice Cleaner, and Voice Cloner. We'll be happy to provide any information regarding pricing, API, enterprise volumes, and functionality of any LALAL.AI tool. 🟡Time and place: September 11–14, RAI Amsterdam. Stand: 14.C45, Hall 14 (Future Tech) 🙌 To book a meeting with Anastasiia, use this link https://lnkd.in/emdZau9f #IBC2026

Last year, 14 NBA teams were sued in a single day for using copyrighted music in their social media videos. Publishers sought up to $150,000 per infringement. The Arizona Cardinals had already settled with a record label for a six-figure sum. And in most of these cases, the music wasn't even intentional, it was just playing in the background of a locker room video. This is what sports content teams are dealing with every match day. The clip below is a pitchside interview with Erling Haaland. We processed it through Lynx, our new flagship cleanup model in Voice Cleaner, which we launched this week. The result is two separate tracks: clean voice and isolated noise (Lynx doesn't detect music specifically, it isolates voice and treats pretty much everything else as noise). Your editors decide how much atmosphere stays in the final cut. As Slate, a platform used by sports content teams, put it in our interview: "The main reason we integrated LALAL.AI was because we saw our customers' problem: they couldn't post content because of the copyright music playing in the background, and the industry is ruthless." Lynx is now available in Voice Cleaner, Voice & Noise stem in Vocal Remover and Stem Splitter (web, desktop, and mobile), as well as via API for teams handling audio post-production at scale. With the World Cup entering its final days, the timing couldn't be better.

⚽ Football’s greatest moments come with roaring crowds but sometimes, you just want to hear the voice behind the action! Lynx, our new neural network built to isolate voice and remove background noise with greater consistency, is what you should try when you want to hear your or your client's voice free of something that wasn't meant to be recorded at all. 🔴 Besides, the launch of Lynx means that you get 30% off Annual Pro plan through July 27! Lynx is available on web (Voice Cleaner and Voice & Noise stem in Stem Splitter and Vocal Remover), desktop, mobile, and API as part of the LALAL.AI subscription plans and Top-Ups. 🔗 https://lnkd.in/d6ppatcG

💡Separating dialogue from background music sounds simple. In practice, it's one of the trickiest tasks in post-production. Speech and music occupy the same frequency ranges. Cut the music, and you lose consonants. Push too hard, and you get a metallic, robotic voice that's worse than the original noise. The AI audio separation market was already worth $1.78B in 2025 and projected to hit $5B by 2029 (CAGR ~30%, The Business Research Company) because clean voice in content has become non-negotiable: podcasts, subtitles, dubbing, documentaries. What actually works: → AI separation wins when music competes with speech → Manual EQ/gating works when the background is light → Combining both approaches gives the best results → A little residual background often sounds more natural than total silence The full methodology and common mistakes are in the article below 👇

We need your support 💛Vote for us at the Webby Awards! Out of 13,000+ entries, LALAL.AI has been named a Webby Nominee in the Best Use of AI & Machine Learning category and a Webby Honoree in Creator, Creative, and Media Tools! Both in the Apps, Software & Immersive section of The Webby Awards The Webby Awards are the internet's most respected recognition for digital excellence. Being in the top 11% of all entries is something we're genuinely proud of, but there's one more step. The People's Voice Award is decided by the public. Voting is open now through April 16th, and it takes less than 10 seconds. If LALAL.AI has ever helped you pull apart a mix, isolate a vocal, or clean up a track, this is your chance to show it 💛 👉 Vote here: https://lnkd.in/eJ5TAk-f Thank you for being part of this. 🎶