Disguise Designer vs Shroozy Stage

Disguise Designer creates a digital replica of a production environment for planning, visualising, sequencing, and controlling content. It supports pitch creation, camera fly-throughs, content validation, technical setup testing, and experience design. Its real-time 3D visualiser can represent productions in different codecs, resolutions, and colour spaces. Content mapping covers shaped LED screens, projectors, UV mapping, dynamic blends, and large projection canvases. Playback supports formats including NotchLC, ProRes, HAP, uncompressed codecs, image sequences, and local or remote HTML5 content. RenderStream integrates with Unreal Engine, Notch, Unity, TouchDesigner, and Volinga NeRFs. Multi-Edit enables simultaneous project editing, while Multi-Transport can run multiple timelines in response to external cues. Control options include DMX, SMPTE timecode, MIDI, OSC, FreeD, and named tracking systems. A free Starter plan supports learning, training, testing, and project development without connecting to Disguise servers; Pro costs $159/month. The user guide specifies 64-bit Windows 10 or 11 and DirectX 11.

Shroozy Stage turns a Meta Quest headset into a miniature virtual production studio for scene blocking, camera animation, take recording, and AI finishing. Users can place a small set in passthrough, add actors and props, and arrange the scene with tracked controllers. Direction tools include performer posing, timeline keyframes, and camera paths. A desktop companion displays the live programme feed, records takes, discovers the headset automatically, and provides an AI developing room. Recorded takes can be sent through three AI finishing routes via fal for comparison. The Quest app is listed for Meta Quest 2, Quest 3, and Quest Pro and is installed by sideloading its APK; desktop builds are listed for Windows, macOS, and Linux. Prebuilt downloads are free and MIT-licensed, with no account, hosted service, or payment requirement. Optional AI features need a user-supplied fal.ai key, and generated work is billed to the user's fal account. Headset video and control use a direct local-network connection. The maker says scenes and recordings stay on the user's hardware unless sent to an AI feature.