ElevenLabs Image & Video - The best audio, image & video models now in one platform
ElevenLabs now has image and video generation. Generate visuals with top models like Sora, Veo, and Kling, then export to the Studio to add high-quality voiceovers, music, AI sound effects, and captions. It's a unified creative platform.
Replies
Flowtica Scribe
Hi everyone!
The workflow for AI creators has been super fragmented. You generate a video in some platforms, then go to ElevenLabs for the voiceover, then find music somewhere else, and finally stitch it all together in an editor.
ElevenLabs is collapsing that entire stack.
They've integrated all the top-tier video models: @Sora by OpenAI, @Google Veo 3 , @KLING AI , @FLUX.1 Kontext... directly into one platform.
You can generate your video, then immediately export it to their Studio to add your cloned voice, AI music, sound effects, and captions, all on one timeline. This is a massive workflow improvement.
Triforce Todos
Wow, finally a platform that brings everything together! This could save so much time switching between tools.
I am in love with this product at the moment, recording voice over for demos and contents just got easier and seamless. I love the fact that all (voice, video,music) are under one roof, its amazing.
Impressive integration of audio, image, and video models in one platform!
As someone building AI-powered content creation tools, I'm curious - how does the video generation quality compare to standalone tools like Runway?
Wow this sounds like a game-changer for content creators! I love how it brings video, voice, and music all into one workflow. Does it also let you fine-tune the AI-generated voice to match different emotions or tones?
Cool! I have a lot of articles I’d like to turn into voiceovers and make videos for YouTube. Can you do that? Will the voice be monotone or expressive? Will the video be emotional? Do the lips move with the text or separately?
Minara
ElevenLabs is already at the point where “does it sound human?” is mostly a solved problem — the thing that tends to bite teams next is predictability: keeping the same voice character consistent across sessions/chunks (especially for long-form narration and voice agents where users notice tiny shifts in energy/pacing).
Curious how you think about this at ElevenLabs: when people report “the same voice feels slightly different,” is it usually a chunking/context issue, parameter tuning tradeoffs (stability vs expressiveness), or something else? Any best-practice pattern you’ve seen work well to keep a voice reliably “on brand” in production?
Bringing image, video, and audio generation into a single platform feels like a natural and well timed evolution for ElevenLabs. The ability to move from visuals to voice, music, sound effects, and captions without switching tools meaningfully reduces creative friction. An interesting insight here is that creative momentum often matters more than individual model quality once workflows become multi modal. From a user experience perspective, how do you help creators maintain narrative and stylistic consistency as they move between different models and media types within the same project?