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Beeble Studio Launches with Local 4K AI Relighting and SwitchLight 3.0 Engine

December 17th, 2025Jump to Comment Section
Beeble Studio Launches with Local 4K AI Relighting and SwitchLight 3.0 Engine

Beeble has launched Beeble Studio, a new desktop application that brings its AI-powered relighting technology to local workstations. Running the new SwitchLight 3.0 model directly on the user’s GPU, the software enables true 4K rendering, unlimited processing, full PBR output with multi-channel 16-bit EXRs, and complete on-premises security for professional VFX workflows.

The announcement addresses a significant pain point for post-production facilities: the need to upload and download massive files for cloud-based AI processing. By moving the entire rendering pipeline to local hardware, Beeble Studio eliminates bandwidth bottlenecks while giving studios full control over sensitive footage. The application is available now for Windows workstations, with pricing starting at $500 per year for indie creators and $3,000 per year for professional facilities.

What exactly is AI relighting?

For those unfamiliar with Beeble’s technology, the company specializes in extracting physically based rendering (PBR) maps from standard video footage. This means taking footage shot under any lighting condition and generating the necessary data (normals, base color, roughness, metallic, specular, alpha, and depth maps) to relight that footage in post-production as if it were a 3D asset. The technology has obvious applications in virtual production, VFX compositing, and scenarios where matching lighting between live-action plates and CG elements is critical.

Previously, Beeble offered this capability through its cloud platform, which meant uploading footage, processing it on remote servers, and downloading the results. While this approach worked well for smaller projects, it created challenges for studios handling high-resolution content, tight deadlines, or confidential material. Beeble Studio addresses all three concerns by running entirely on local hardware.

Local processing has become a feature in the age of AI, thankfully Beeble makes it real with Beeble Studio. Image credit: Beeble

SwitchLight 3.0 under the hood

The desktop application is powered by SwitchLight 3.0, the latest generation of Beeble’s proprietary AI model. According to the company, this version was trained on a dataset ten times larger than its predecessor and introduces what Beeble describes as a “true video model” that processes multiple frames simultaneously rather than treating each frame independently.

The practical benefit here is temporal consistency. AI-based image processing tools often struggle with flickering artifacts when applied frame by frame to video content. By analyzing multiple frames at once, SwitchLight 3.0 aims to produce flicker-free results with stable backgrounds and consistent surface textures across shots. The company also claims improvements in facial definition and overall PBR accuracy compared to earlier versions.

Looks like an upload bar, but it’s really an on-device model – which requires a powerful Nvidia GPU and a Windows machine. For now. Image credit: Beeble

SwitchLight 3.0 is not exclusive to Beeble Studio; the updated model is also rolling out to users of the cloud platform. However, the desktop version unlocks capabilities that would be impractical in a cloud environment, most notably unlimited 4K rendering without credit limits or file size restrictions.

Rendering capabilities and output formats

Beeble Studio supports sequences up to one hour in length (approximately 100,000 frames) at full 4K resolution. For professional workflows, the application exports multi-channel 16-bit EXR files containing all AOV passes in a single file. This includes normals, base color, roughness, metallic, specular, alpha, and depth information, essentially everything needed to relight the footage in compositing software.

The inclusion of a render queue allows users to batch multiple jobs and process them sequentially, which is particularly useful for facilities handling multiple shots or sequences. Additional controls include a deflicker toggle and fine-tuning options for render parameters, giving artists more control over the final output than the cloud version provides.

The built-in Beeble Editor allows for realtime relighting. Image credit: Beeble

Built-in editor and third-party integration

Beyond raw PBR extraction, Beeble Studio includes the Beeble Editor, a 3D editing environment for relighting shots in real time. The editor supports HDRI environment lighting and point lights, using the same physically accurate lighting system found in the cloud application. This allows artists to preview relighting results immediately rather than exporting to external software for every adjustment.

For more complex work, Beeble has developed plugins for Nuke, Blender, and Unreal Engine that import the generated passes directly. This integration targets advanced relighting, VFX compositing, and virtual production workflows where Beeble’s output serves as input for larger pipelines. The combination of standalone editing capabilities and seamless integration with industry-standard tools positions Beeble Studio as both a self-contained solution and a component in larger facility infrastructures.

Beeble offers plugins for Unreal Engine, Nuke and Blender. We hope more will come for DaVinci and others. Image credit: Beeble

Pricing structure and plans

Beeble offers two primary tiers for Beeble Studio, plus an enterprise option for larger organizations.

The Indie plan costs $500 per year (billed annually) or $60 per month. It includes unlimited local rendering up to 4K resolution and one hour duration, access to the render queue and Beeble Editor, and commercial use rights for organizations with annual revenue under $200,000. This tier clearly targets freelancers, small studios, and independent filmmakers who need professional-grade tools without enterprise pricing.

The Standard plan costs $3,000 per year (billed annually) or $400 per month. It removes the revenue restriction for full commercial use, adds early access to new features, and includes team-ready licensing for professional facilities. Both plans include a free seven-day trial, allowing potential customers to evaluate the software on their actual hardware and footage before committing.

For larger studios requiring organization-wide deployment, Beeble offers an Enterprise plan with CLI (command-line) integration for pipeline automation, custom licensing terms, seat management, and API integration. Pricing for the Enterprise tier is not publicly listed and presumably varies based on scale and requirements.

The capabilities of Beeble Studio are impressive. Image credit: Beeble

Hardware requirements and availability

Beeble Studio is currently available for Windows workstations only. The company has not announced macOS or Linux support, though given the professional VFX market’s significant use of Linux render farms and macOS workstations, this may be a consideration for future development.

The software runs directly on the user’s GPU, which means performance will scale with hardware capability. The company has not published minimum or recommended specifications, so potential users will need to evaluate performance during the trial period on their specific hardware configurations. Given that the software handles 4K video processing with AI models, a modern professional GPU (NVIDIA RTX series or equivalent) is almost certainly required for practical performance.

Company background

Beeble was founded in 2022 by five AI researchers with backgrounds in game development. The company has raised $4.75 million in seed funding to develop its relighting technology. The platform has gained traction among VFX studios and technical artists looking for faster, more accessible solutions to the traditional relighting problem, which typically requires either shooting under controlled lighting conditions or expensive manual rotoscoping and compositing work.

The launch of Beeble Studio represents a significant expansion of the company’s offering, moving from a cloud-only service to a hybrid model that addresses the needs of security-conscious facilities and users working with bandwidth constraints. It also positions Beeble to compete more directly with other local AI processing tools while maintaining its cloud platform for users who prefer that workflow.

The shift toward local AI processing is becoming increasingly common as models become more efficient and professional users demand more control over their data and workflows. Have you tried AI-based relighting tools in your post-production pipeline? What factors matter most to you when choosing between cloud and local processing? Don’t hesitate to let us know in the comments below!

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