Yes, AI can now generate video with sound
Yes, it's true. Modern AI video tools can generate a clip and its audio together, or generate silent video and add sound afterward with AI audio tools, all without a traditional production or scoring process. Google described its Veo 3 model as the first with native support for sound effects, background noises and dialogue between characters when it launched in May 2025, and the capability has since spread across the industry.
"Sound" also covers more ground than you might think. It includes dialogue and lip-sync, sound effects and ambient noise, music and voiceover. Each works a little differently, and knowing the result you're aiming for changes which tool and which workflow actually fits.
What "video with sound" actually means
Several distinct types of audio show up under this one umbrella term, and it helps to separate them before going further.
Dialogue and lip-sync
Dialogue is spoken lines, and lip-sync is mouth movement that matches those words. This is the hardest type to get right, since a mismatch between what's being said and how the mouth moves is immediately obvious to a viewer. Character performance tools like Act-Two can tie a believable performance to the dialogue itself.
Sound effects and ambient sound
Sound effects are discrete, timed sounds like footsteps, a door closing, or a glass breaking that are tied to a specific on-screen action. Ambient sound is continuous background noise like rain, city hum or wind, which sets a scene more subtly than sound effects. Runway's generative audio tools cover both by creating from a text description.
Music and voiceover
Background music sets tone and pacing without being tied to any specific on-screen moment. AI voiceover and narration is a distinct case from dialogue: it's a voice describing or explaining, not a character speaking lines in the scene. Both can be generated separately and layered onto a finished video.
How AI generates sound with video
There are two fundamentally different approaches to getting sound into an AI-generated video. One generates picture and sound together in a single pass. The other generates silent video first and adds sound afterward with separate tools. Neither one is strictly better than the other, but they do suit different situations.
Native audio generation
Some models generate the video and its audio in one step, from one prompt. This is the most direct way to answer whether AI can generate videos with sound: when you pick a model built for that style of generation, the audio will come back with the picture. Kling 3.0, available directly on Runway, generates dialogue, ambient sound and effects together with the visuals, no separate audio pass needed. Seedance 2.5, also available on Runway, works the same way: feed it text, images, video or audio, and it returns a finished multi-shot video with sound already built in.
This isn't unique to any single model. Google's Veo has offered native audio since 2025, and Veo 3.1 added richer native audio that October, "from natural conversations to synchronized sound effects." The field has moved fast, and native audio has gone from a novelty to a standard feature across multiple leading models.
Adding audio in post
The alternative: generate a silent video first, then add voice, sound effects and music with separate AI audio tools afterward. This keeps more control over each element individually, since the video and every layer of sound can be adjusted independently rather than needing to be regenerated together.
| Approach | How it works | Best for |
|---|---|---|
| Native generation | Video and audio created together from one prompt | Fast turnaround, dialogue tied directly to a performance |
| Adding audio in post | Silent video generated first, sound layered on after | Independent control over each audio element, mixing multiple sources |
Both approaches are available inside a single platform. A video generated with Runway's Gen-4.5 model, which doesn't generate embedded audio itself, can go straight into Runway's generative audio tools for voice, sound effects and music, keeping your video generation workflow in one place.
How to make an AI video with sound in Runway
Runway brings video generation and audio production into one workspace, so making a video with sound doesn't require switching between separate tools for the picture and the sound.
- Generate the video. Use Runway's Gen-4.5 model for a text or image-to-video clip, or choose a natively audio-capable model like Kling 3.0 or Seedance 2.5 if you want the audio to come from the same generation as the picture.
- Add dialogue and performance. For a character speaking on screen, Act-Two ties a driving performance to lip-sync and expression, so the dialogue looks as convincing as it sounds.
- Layer in sound effects and ambient audio. Runway's generative audio tools generate SFX and ambient sound from a text description, timed to what's happening on screen.
- Add music or voiceover. Generate a narration track or background music separately and layer it onto the finished clip.
- Edit and refine. Aleph 2.0, Runway's video editing model, adjusts the finished result without needing to regenerate the whole clip from scratch.
Developers who are building this into a product rather than a one-off project can reach the same models and audio tools through Runway's developer API.
What AI video with sound can and can't do yet
The biggest limitation today for AI video with sound is dialogue. Google's own DeepMind team notes that Veo 3 can "add sound effects, ambient noise, and even dialogue to your creations, generating all audio natively," but adds that "natural and consistent spoken audio, particularly for shorter speech segments, remains an area of active development." That's not a caveat for any specific model, but an industry-wide limitation as of today. Sound effects and ambient audio are further along and generally reliable across the models that support native generation. Dialogue is the frontier. It's worth testing a short clip before committing to a longer dialogue-heavy sequence rather than assuming it will work exactly as scripted on the first attempt.
There is a lot of momentum behind where AI generated video is headed. The AI video generator market was valued at $788.5 million in 2025 and is projected to reach $3,441.6 million by 2033. According to Wyzowl's 2026 survey, 63% of video marketers say they've used AI video tools to help create or edit marketing videos, up from 51% the year before. Expect video and audio capabilities to develop further with each new model release.
Frequently asked questions
Can AI generate video from audio?
That's a different, related capability, sometimes called audio-to-video or video-to-audio, where existing audio drives or is generated to match visuals. Most tools built for that use case are separate from text-to-video-with-sound generators.
Can ChatGPT create a video with sound?
ChatGPT itself doesn't generate video directly. It can connect to AI video and audio tools through integrations, like the Runway MCP, and platforms like Runway offer their own generation tools with audio built into the workflow.
Is there a free AI video generator that can create videos with audio?
Several platforms, including Runway, offer free tiers that support basic video generation. Native audio and advanced audio tools are typically included on paid plans.
Does AI video sound sync automatically?
For models with native audio, yes, the sound is generated as part of the same pass as the video and is synced by default. For audio added afterward, syncing to on-screen action is part of the generation or editing step once two separate files exist, rather than an automatic process.
Where does AI video with sound go next?
Sound is becoming part of AI video generation itself, rather than an afterthought. As more models add native audio and the tools for adding sound afterward keep improving, the practical path for most creators is a single platform that handles both, rather than stitching together separate video and audio tools for every project.
