



Beyond frame interpolation, Veo 3.1 features native synchronized audio generation, producing realistic dialogue and environmental sounds automatically aligned with video content.
Veo 3.1 is an advanced AI-powered video generation model developed by Google, specializing in creating seamless video transitions between user-provided first and last frames. It enables users to input two images (a starting frame and an ending frame) and generates a smooth, coherent video that connects these points. This approach is ideal for creative video transitions and simulated time-lapse effects.
vs DAIN: Veo 3.1 adds native synchronized audio and full video extension capabilities, whereas DAIN focuses narrowly on visual depth-aware frame interpolation without audio or extension. Veo 3.1 excels in storytelling continuity and audio-visual realism.
vs Google Imagen Video: Imagen Video generates video from textual descriptions mainly focusing on creating scenes from scratch, while Veo 3.1 emphasizes frame-to-frame interpolation and video continuation with integrated audio, allowing precise control over start and end frames.
vs Runway Gen-2: Runway Gen-2 targets broader text-to-video generation with varied concepts, whereas Veo 3.1 specializes in specific frame-driven video transitions and extends clips with lip-synced audio, offering stronger cinematic continuity for narratives.
vs Sora 2: Sora 2 delivers ultra-realistic physics and momentary visual realism focusing on short scenes, demanding higher compute. Veo 3.1 prioritizes extended story flow and scene coherence with synchronized audio, ideal for ads, short films, and educational videos.