LALAL.AI Is Heading to IBC2026: A Visitor's Guide to Meeting Us in Amsterdam
Want to catch up? Find us at IBC2026: Hall 14, stand 14.C45, September 11–14.
This fall, LALAL.AI is again attending IBC, Europe's leading broadcast and media technology show. From September 11 to 14, our team will be on the show floor in Amsterdam, and we're already lining up product demos built for the post-production and dubbing teams who deal with messy audio every day.
If you work in localization, dubbing, editing, or sound design and planning to be at IBC, this post is your roadmap: where to find us, what we'll be showing, and how to get to our stand without wasting time wandering between halls.
When, where, and how to find LALAL.AI at IBC2026
- Dates: September 11–14, RAI Amsterdam
- Stand: 14.C45, Hall 14 — Future Tech
- Who'll be there: LALAL.AI's business development manager, Anastasiia Shikina, and a team ready to walk you through the products live


If you're wandering the show looking for AI audio and video tools, chances are you'll end up there anyway.
💡A tip: plan your route ahead of time
To skip the extra laps around the halls, there's a handy tool: the IBC2026 personal schedule planner. Enter your company and role, and it builds a personalized itinerary, pointing you to exhibitors and sessions worth visiting based on hall layout.


Add Hall 14 and our stand 14.C45 to it, and the walk to us will already be part of your day's plan.
Why post-production & dubbing teams should stop by
LALAL.AI has long outgrown "just remove the vocals from a track." For professional audiences, such as localization studios, dubbing SaaS platforms, agency editing departments, we're first and foremost a tool for cleaning and preparing voice audio, removing background noise, music, rumble, echo, and other artifacts that get in the way of transcription, translation, and voiceover work.
At the stand, we'll focus on these scenarios we hear about most often from broadcast and media production teams:
- Voice cleanup and restoration, removing background music, mechanical interference, environmental noise, and recording artifacts to produce a clean dialogue track ready for transcription, localization, or voice replacement.
- 10-stem separation, splitting audio into vocals, instrumental, drums, bass, guitars, synth, strings, and wind instruments for flexible remixing during post-production.
- Voice Cloning API and VST plugin, cloning voices for multilingual dubbing, and separating audio right inside your DAW, without extra export-import steps.
We'll confirm the exact demo lineup closer to the show, but it's very likely to include Voice Cleaner, the VST plugin, and Voice Cloner, all framed around real post-production use cases.
What teams already using LALAL.AI have to say
Before you head to our stand, it helps to know why teams in your own industry come to us in the first place. Here are a few stories from the field.
Video dubbing and localization
French startup VoiceCheap built LALAL.AI into the very start of its dubbing pipeline, right after extracting audio from video. The team reports that switching to LALAL.AI roughly doubled processing speed and noticeably improved separation quality, cutting complaints about artifacts and echo close to zero.
For them, preserving the background atmosphere of the original alongside the voice is key to making dubbed content feel authentic.
Enterprise-scale localization
Localization platform Ollang uses LALAL.AI at the audio preparation stage of its pipeline, isolating vocals from background audio before transcription, translation, and voiceover generation across 120+ languages. The team notes that clean background tracks matter especially when the final track is voiced by a synthetic voice: the cleaner the source, the more natural the result sounds.
Voice recovery from unpredictable recording conditions
LifeOnRecord processes over 100,000 minutes of audio a year, including voice messages from events, often recorded amid loud music or on damaged equipment. For them, the value of LALAL.AI's API lies in needing very little manual parameter tuning while still reliably pulling a clear voice out of the messiest conditions, including cases where background music starts out louder than the speaker.
Video post-production and editing
At agency VML, the team says LALAL.AI's stem separation effectively rescues content that would otherwise be written off: audio baked directly into video, corrupted or incomplete source files, multilingual interviews with music mixed into the dialogue. Being able to pull a clean dialogue or music track out of a problem file saves the team both time and stress against a deadline.
🟡 If any of this sounds like your own workflow, come find us, we'd be glad to talk through your specific case.
A checklist for your visit to stand 14.C45
To make the most of a conversation at the stand, bring along:
- A sample of problem audio or video (a noisy recording, a file with baked-in music, a multilingual interview): if it's convenient, we can run the cleanup on your own material.
- A quick description of your pipeline, such as where exactly in your localization, dubbing, editing, or sound design workflow you'd want to plug in voice cleanup or stem separation.
- Questions about the API and volume. If integration is on your mind, it helps to have a rough idea of monthly minutes so we can talk through how it scales.
- Questions about the VST plugin: if you work inside a DAW, ask about local processing without cloud uploads.
How to set up a meeting
We'll share exact meeting times at the stand closer to the show, but if you already know you'll be at IBC September 11–14 and want to reserve a slot at stand 14.C45, reach out to Anastasiia in advance and we'll find a time that works. See you in Amsterdam!
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