This release expands Genvid’s generative capabilities with two powerful additions, while delivering the industry’s most rigorous content provenance standard and a range of tools that give production teams better visibility, finer creative control, and a faster path from screenplay to screen.
GPT Image 2: OpenAI’s Most Capable Image Model, Now in Genvid
GPT Image 2 is now available in Genvid, bringing OpenAI’s latest image generation and editing capabilities directly into your production pipeline. Generate new images from text prompts or use the model’s image-editing mode to refine existing assets: adjusting, extending, or reimagining elements without leaving the platform. Add it to your model roster alongside every other provider in Genvid and swap freely based on the needs of each scene, shot, or asset.
Motion Control Video: Direct the Camera, Not Just the Scene
Motion Control is now available as a dedicated render type, giving directors explicit cinematographic control over camera movement during video generation. Instructions such as Dolly, pan, track, arc can be specified as direction rather than approximated through prompting. For productions where camera language is as important as what’s in the frame, this is the control layer that makes generative video feel like directed video.
C2PA Manifest Signing: Industry-Standard Content Provenance
Every piece of media generated in Genvid now carries a C2PA manifest — a cryptographically signed credential that records how the content was created, which tools were used, and that it was AI-generated. The credential is tamper-evident: any modification after signing is immediately detectable, creating a verifiable chain of custody from the moment of generation.
This matters now more than ever. Under EU AI Act Article 50, machine-readable content marking becomes mandatory for AI-generated content beginning August 2, 2026. The C2PA is the leading candidate standard for meeting these requirements, with fines for non-compliance reaching up to 3% of global annual revenue. Productions delivering to broadcasters, distributors, or international markets need a provenance record that satisfies these obligations, and Genvid now generates one automatically, on every asset, without any additional steps from your team.
Adobe, Microsoft, Google, OpenAI, and the BBC are among the steering committee members already committed to C2PA implementation, making this the provenance standard that the industry is converging on. Genvid’s implementation puts productions that use the platform ahead of the compliance curve.
Full Production Visibility Across Every Project
Two new cross-project views give production supervisors and line producers the visibility they need to manage complex multi-project environments without switching between dashboards.
The Cross-Project Budget Page consolidates cost tracking across all active projects in a single view.
Spend is visible at a glance, by project, without navigating into each one individually.
The Cross-Project Media Page brings the same unified approach to asset browsing, with quick destination chips that navigate directly to the relevant project.
For studios running multiple productions simultaneously, this is the overview layer that keeps resourcing decisions grounded in accurate, current data.
Finer Creative Control at the Shot Level
Intelligent shot decomposition brings beat-level granularity to shot direction, giving directors and cinematographers precise control over the structure and pacing of each shot before generation begins. The more context the platform has about what a shot needs to accomplish, the closer the results land on the first pass.
More Ways Into the Platform
PDF screenplay import means productions no longer need to reformat scripts before bringing them into Genvid. Upload a PDF directly into the Screenplay Editor and the platform handles the rest — a practical improvement for any production arriving with existing development materials.