VEO3.1

veo3.1-extend-video — Video-to-Video AI Model

Extend your short video clips seamlessly with veo3.1-extend-video, Google's specialized video-to-video AI model from the Veo 3.1 family that adds 7-second segments while preserving scene context, narrative flow, and audio continuity. Perfect for creators needing longer footage without restarting from scratch, this model samples the last 1 second of your input to generate natural extensions, enabling videos up to 148 seconds total.

Developed exclusively for iterative scene building, veo3.1-extend-video supports Google video-to-video workflows on platforms like APIYI and Google AI Studio, making it ideal for video-to-video AI model applications in social media and production.

What Sets veo3.1-extend-video Apart

veo3.1-extend-video stands out in the video-to-video landscape with its 7-second incremental extension mechanism, allowing up to 20 iterations from an 8-second original to reach 148 seconds—far exceeding competitors like Sora (60s max) or Kling (120s).

This fixed 7-second addition, based on the last 1-second visual sampling, ensures seamless stitching with native audio continuation, enabling users to build cinematic narratives without visible cuts or style breaks.

Key technical specs include 720p output resolution, 720p/1080p input support, 16:9 and 9:16 aspect ratios, 24 fps frame rate, and MP4 format for both input and output, with processing times around 1-4 minutes per extension depending on the variant.

• 20x extension limit for 148s max duration: Creates extended videos impossible with single-clip generators, ideal for veo3.1-extend-video API users building long-form content.
• Last-1s continuity modeling: Guarantees narrative coherence across extensions, outperforming non-iterative models in maintaining motion and audio sync.
• Strict Veo-generated input compatibility: Optimized for 24fps MP4s from Veo 3.1, ensuring professional-grade extensions for vertical video Shorts or landscape productions.

• Input videos must be Veo-generated for optimal results; non-Veo videos may lack audio or fail extension
• Use prompts that specify action, style, camera motion, and ambiance for best continuity
• Limit reference images to 1-3 to avoid memory limits and ensure stability
• Chain extensions by using the last second of prior output as input for cumulative durations beyond 60s
• Balance quality and speed by selecting 720p for faster generation versus 1080p for higher fidelity
• Enable auto_fix for prompts that might fail safety or validation checks
• Test short extensions first to refine prompts before full chains

How to Use veo3.1-extend-video on Eachlabs

Access veo3.1-extend-video directly through Eachlabs Playground for instant testing, API for scalable integrations, or SDK for custom apps—upload a Veo-generated 720p/1080p 24fps MP4 (up to 8s initial), specify extension count (max 20), and receive 720p MP4 outputs with seamless 7s additions and audio continuation. Eachlabs delivers fast processing in 1-4 minutes per step, perfect for iterative video-to-video workflows.

• Seamlessly extends Veo videos up to 30s with natural motion and scene continuity
• Maintains consistent characters, environments, lighting, and style across extensions using reference images
• Generates synchronized spatial audio, ambient sounds, and dialogue without abrupt changes
• Supports multi-aspect ratios (16:9, 9:16) and high resolutions up to 1080p
• Delivers cinematic realism with over 95% visual continuity and minimal flicker
• Handles complex prompts for style transitions, camera movements, and ambiance control
• Versatile for chaining segments to create long-form videos exceeding 60s

Use Cases for veo3.1-extend-video

Content creators producing YouTube Shorts can start with an 8-second vertical 9:16 clip of a product demo and use veo3.1-extend-video to add multiple 7-second extensions, building a full 60-second tutorial while keeping camera motion and ambient audio consistent—no need for manual editing.

Marketers developing social campaigns feed a short landscape promo video into the video-to-video AI model, iteratively extending it to 148 seconds with prompts guiding scene progression like "continue the crowd cheering with fireworks in the background," streamlining high-volume production for TikTok or Instagram Reels.

Developers integrating Google video-to-video APIs for apps can chain extensions programmatically, such as inputting "extend this walking tour clip by panning right to reveal the city skyline at dusk" to generate dynamic real estate tours up to 2+ minutes, leveraging the model's audio sync for immersive experiences.

Film editors facing abrupt endings on raw footage use veo3.1-extend-video's 1-second sampling to append concluding shots, like extending a dramatic chase scene with "vehicle speeds around corner into alley shadows," maintaining 720p quality and 24fps smoothness for post-production workflows.

• Model restricted to extending only Veo-generated videos for best audio and continuity results
• Extensions typically 4-8s per segment; longer videos require chaining with last-second reference
• High consistency in motion dynamics and subjects via pixel-space similarity
• Users report smooth first/last-frame transitions and improved realism over Veo 3.0
• Resource-intensive for 1080p or audio-on; prompts over 1200 tokens may destabilize
• Safety filters block unsafe content in inputs and generations
• Positive feedback on audio synchronization and no-style-drift in community tests

• Limited to Veo-generated input videos; other sources may not extend properly or retain audio
• Short segment durations (4-8s) necessitate chaining for longer outputs, increasing complexity
• Potential memory limits with more than 3 reference images or very long prompts