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Google adds new features to its video editing app Vids, like directing and customizing avatars through text prompts, Veo 3.1 support, and exporting to YouTube

TechCrunch Ivan Mehta

Context & Ripple Effects

Vids has been moving from an AI-assisted editing tool toward a broader creation workflow: its earlier update added avatars, transcript trimming, image-to-video tools, and a basic version for wider access in Vids' earlier expansion of AI-assisted editing.

This release connects that editor more tightly to Google’s latest video-generation stack, following Veo 3.1 upgrades for more expressive, vertical, and higher-resolution output. The addition of YouTube export makes the workflow relevant not just to generating clips, but to preparing and distributing finished video.

First-order effects

  • Vids users can control and personalize avatar output through text prompts while drawing on Veo 3.1 inside the editing product, reducing handoffs between generation and assembly.
  • YouTube export gives Google a more direct path from a Vids project to publishing, while making Vids a more complete option for teams producing platform-ready video.

Second-order effects

  • Competing AI video editors face pressure to pair generation features with practical editing and distribution steps rather than compete on model output alone.
  • Google can reinforce adoption across its video tools: users who begin with generated or avatar-led content have a clearer reason to keep the edit-and-publish workflow inside Google products.

Third-order effects

  • If this integration continues, AI video competition will shift toward end-to-end workflow ownership—generation, editing, formatting, and publishing—rather than standalone model capability.
  • The growing ease of producing avatar-led and generated video may increase the importance of provenance, moderation, and platform safeguards, especially as creation tools connect more directly to distribution.

The trend: This is one data point in the consolidation of generative-video capabilities into full publishing workflows, where the winning product may be the one that removes the most steps between prompt and audience.