
Every moment has a sound. And this world is just full of it.
From hums of ambient sounds, like the whispering wind, clinking dishes, distant chatter, footsteps, rustling leaves, the crackling of fire, the patter of rain on rooftops, the low rumble of thunder, the hiss of steam, the soft clicks of buttons on mouse and keyboard, the whir of a ceiling fan, the rustle of paper, the chirping of crickets, the echo of laughter, the buzz of neon lights, the faint murmur of passing cars, the rhythmic crash of waves, the creak of old wood, the hush of a breeze curling past the curtains, and lots more. The world speaks in endless textures.
Every sound, no matter how subtle, breathes emotion into the scene. It turns empty visuals into moments that feel lived in, real, and deeply human.
It’s this subtle harmony between sight and sound that makes stories feel alive.
For humans, the blending of these senses comes effortlessly. For machines, it’s an intricate puzzle: one that demands not just visual understanding, but the ability to hear context, rhythm, and mood. That’s why teaching AI to create both moving images and matching sound isn’t just a technical milestone; it’s a creative awakening.
This is why most AI video tools default to silence, leaving creators to add voiceovers, music, effects afterward.
Google changed the game when it launched Veo 3. With it, Google stepped past the silent video era by building audio generation into the video model itself. Veo 3 can natively generate synchronized dialogue, ambient sound, and effects to match the visuals.
Now, Google introduces 'Veo 3.1.'
Veo is getting a major upgrade.
We’re rolling out Veo 3.1, our updated video generation model, alongside improved creative controls for filmmakers, storytellers, and developers - many of them with audio. pic.twitter.com/YQVRxwj7hk— Google DeepMind (@GoogleDeepMind) October 15, 2025
This updated version integrates audio capabilities into more powerful video editing operations and refines realism, prompt fidelity, and user control.
Using the new Flow video editor, users can use:
- Ingredients to Video: supply reference images (e.g. of a character or object) and Veo 3.1 will generate a clip with that style and matching audio.
- First to Last Frame: give a start image and end image, and Veo bridges them with motion, and the native audio.
- Scene Extension: start from the last second of an existing video and extend it up to a minute, with smooth transitions and audio maintained.
- Add or Remove Objects: seamlessly add or remove elements in a scene, with lighting, shadows, and audio adapted realistically.
Ingredients to video
Give multiple reference images with different people and objects, and watch how Veo integrates these into a fully-formed scene - complete with sound. pic.twitter.com/iNNo7ng5jf— Google DeepMind (@GoogleDeepMind) October 15, 2025
Under the hood, Veo 3.1 improves prompt adherence and audiovisual realism compared to Veo 3’s baseline, as explained by Google in a blog post:
Today, we’re introducing new and enhanced creative capabilities to edit your clips, giving you more granular control over your final scene. For the first time, we’re also bringing audio to existing capabilities like “Ingredients to Video,” “Frames to Video” and “Extend.”
We’re also introducing Veo 3.1, which brings richer audio, more narrative control, and enhanced realism that captures true-to-life textures. Veo 3.1 is state-of-the-art and builds on Veo 3, with stronger prompt adherence and improved audiovisual quality when turning images into videos.
From A to B, in an instant
Give the first and last frames and Veo will bring the entire scene to life, helping you create a seamless video with epic transitions. pic.twitter.com/OpwdpBmT1V— Google DeepMind (@GoogleDeepMind) October 15, 2025
In short, with Veo 3.1, Google is closing the gap between silent AI videos and true cinematic storytelling, letting creators imagine scenes that sound as vivid as they look.
Instead of layering audio after the fact, Veo 3.1 generates sound directly alongside visuals, giving life, rhythm, and emotion to every frame.
While competitors have made impressive strides in visual realism, their videos still rely heavily on manual sound design. Veo 3.1 changes that dynamic by making synchronized, native audio part of the generation process itself. It doesn’t just show a car speeding down a street — it lets you hear the tires screech, the wind rush, and the city hum.
Each of Veo 3.1 rivals, especially the highly popular OpenAI Sora 2, are extremely capable. But Google's announcement of Veo 3.1 marks a significant shift in how AI video models are evolving.
The race is no longer just about who can render the most detailed frames. It's now about who can make those frames feel alive.
With Veo 3.1, Google isn’t just improving video generation; it’s teaching AI to think in both motion and sound, in order to create not just what we see, but what we experience.
These are just a handful of capabilities powered by Veo to try in @FlowbyGoogle, through the Gemini API and beyond.
Find out more ↓ https://t.co/YpdR3HyEMX— Google DeepMind (@GoogleDeepMind) October 15, 2025
According to Google in a developer blog post, Veo 3.1 and 'Veo 3.1 Fast; are initially released in paid preview through the Gemini API.
"These new models are available via the Gemini API in Google AI Studio and Vertex AI. Veo 3.1 is also available in the Gemini app and Flow," said Google