Google’s Gemini Omni turns images, audio, and text into video — and that’s just the start
Google has introduced Gemini Omni, a new family of multimodal models capable of generating videos from various inputs like images, audio, and text. This development aims to enhance user creativity by allowing them to create high-quality videos that reflect a deep understanding of different subjects. The long-term vision for Omni includes generating images from audio and vice versa, expanding the possibilities of content creation.
- ▪Gemini Omni allows users to combine images, audio, video, and text to produce consistent video outputs.
- ▪The first model, Gemini Omni Flash, will roll out today and can render 10 seconds of video.
- ▪All videos created with Omni will include a digital watermark for verification.
2 outlets in our directory ran this story, first to last over 10 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
- ▪ Google’s new Gemini Omni AI can turn almost anything into video — Latest from TechRadar
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| Original publisher | TechCrunch |
| Canonical URL | https://techcrunch.com/2026/05/19/googles-gemini-omni-turns-images-audio-and-text-into-video-and-thats-just-the-start/ |
| Publication time | Tue, 19 May 2026 17:45:00 +0000 |
| Retrieval time | 2026-05-19T17:49:57.876Z |
| Last seen | 2026-05-19T17:49:57.876Z |
| Headline source | Publisher (no WeSearch rewrite) |
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| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | oFwE47aP_GYX · 2 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
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| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
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| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
When Google launched Gemini three years ago, the goal was to build a multimodal large language model — a single neural network that was trained on text, image, audio, and video and could generate content in any of those formats. Today, at its Google I/O developer conference, the company took a concrete step toward that goal with Gemini Omni, a new family of multimodal models that Google CEO Sundar Pichai says will be able to “create anything from any input.” Omni will start with video. Users can now combine images, audio, video, and text, and rather than simply stitching those inputs together, Omni reasons across all of them to produce a consistent output. The result is high-quality videos that reflect an understanding of physics, culture, history, and science.
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