Veo 3 Prompts

Veo 3 is Google DeepMind's video generation model. It launched at Google I/O on May 20, 2025 and its headline feature is native audio: dialogue, sound effects, and ambient layers generated alongside the picture rather than dubbed afterward. Veo 2 (December 16, 2024) was video-only and required pairing with a separate text-to-speech and foley pass. Veo 3 brings both into one generation, which means the lip-sync, the foley timing, and the audio mood actually fit the visuals you asked for.

Several places. Inside the Gemini app on AI Pro (consumer, daily caps) and AI Ultra (higher caps and Veo 3.1 included). On Vertex AI for production text-to-video and image-to-video via API. Inside Flow, Google's filmmaking workspace built around Veo. Inside Whisk, where Imagen 3 stills can be sent into Veo motion. And inside multi-model canvases like Krea AI that expose Veo 3 alongside Kling, Sora, and Hailuo. Pick the surface that matches your workflow.

Put the spoken line in quotes, describe the voice texture (warm, low, urgent), and let Veo handle delivery. A line like a barista says "I made you the usual today" with a warm voice, soft espresso-machine hum behind reads cleanly. Avoid writing long scripts; Veo gets the best lip-sync on short, conversational sentences. Avoid stacking accents and specific celebrity references. Describe the voice as you would describe casting on a casting sheet, not as a costume.

Default clip length on Veo 3 is 8 seconds. Veo lets you extend, similar to Dream Machine, by generating a continuation from the last frame. Extensions are useful for short narrative beats. For anything longer than 30 seconds, plan separate shots and edit them in a video editor (or use Flow to manage the shot list inside Google's tooling). Trying to chain a film into one giant extended clip produces drift and soft motion; planned shots produce cleaner work.

Yes. Veo 3 outputs embed Google's SynthID watermark, which marks the generation as AI without changing how it looks. SynthID is invisible to the eye and intentionally durable to common edits, so cropped, resized, and lightly color-graded clips remain identifiable as AI by Google's verification tools. Outputs may also include C2PA metadata. Treat Veo 3 as honestly AI-marked content. This matters for newsroom and platform policies that increasingly require transparent labeling.

Inside the Gemini app, Veo 3 is included in AI Pro and AI Ultra subscriptions with usage caps. On Vertex AI, Veo 3 is billed per second of generated video, and the per-second rate sits in roughly a similar band to other top-tier video APIs (Sora 2, Kling 2.1). Rates change quarterly, so do not lock pricing copy to a single number. The Vertex AI pricing page lists the current Veo 3 rate; this page links to it rather than treating today's figure as fixed.

Veo 3 Fast is the cheaper, lower-detail variant of Veo 3. Google added it in July 2025 to let iteration runs not burn full Veo 3 credits or cap usage. Treat Fast as a draft tier: settle composition, audio cues, and camera move in Fast, then re-run in full Veo 3 for the final. Like Ray 2 Flash on Luma, Fast is most useful as a way to find the right prompt before you spend the expensive credit. Once you trust the prompt, regenerate in full Veo 3.

Veo 3.1 (October 2025) is a quality refresh of Veo 3, not a new model line. The most visible gains are motion stability and a measurable reduction in common hand and limb artifacts. Audio quality is similar, so if Veo 3's audio satisfied you, Veo 3.1 will too. The reason to prefer 3.1 where available is the visual consistency at full quality; the reason to fall back to 3 is access (3 is more broadly available outside the Ultra tier and the latest Vertex regions).

Long audio descriptions stack soft, neutral cues and Veo 3 returns the safest version of all of them. The fix is mechanical: pick two audio events you actually want, name them specifically (espresso machine hiss, glass-on-marble click, distant siren), and trust Veo to fill the ambient bed. Three to five second clips are also more reliable for sharp foley than eight-second clips, because the model has fewer events to schedule. Trim ambition by half and the audio gets noticeably better.

Google restricts identity mimicry. You will not get a clean impersonation of a named public figure, and the model is tuned to avoid voiceprint cloning. Describe the voice as a casting brief instead: a warm low male voice in his fifties, a clear higher female voice with a slight Scottish accent, a gravelly weathered voice. That gives Veo enough texture without violating identity rules. For brand-controlled voice cloning, route to a dedicated voice product like ElevenLabs and dub Veo's silent variant.

Sora 2 (OpenAI) leads on cinematic flair and the cameos feature for likeness-controlled generation. Kling 2.1 (Kuaishou) leads on stylized motion and expressive character action. Veo 3 leads on physics realism plus native audio, which is the combination that has made it the default for short ad creative and B-roll. Many teams now use two of the three side by side: Veo for grounded shots, Sora for stylized hero shots, Kling for character scenes. None is universally best.

Cramming visual, audio, and emotional direction into one long paragraph. Veo 3 reads structured cues better: one subject sentence, one camera sentence, one audio sentence, one length cue. A line like a barista in a sunlit café pulls a shot, side-window light, slow dolly forward, soft clinking and warm jazz bed, 8 seconds outperforms a much longer paragraph that mixes everything together. Structure beats elaboration on this model.