Purpose
Zanta AI is a browser-based AI image and video studio, aimed at the production needs of marketing assets, integrating generation, comparison, editing, and export into a single workflow. Users can start from text or a source image, choose a suitable model, generate still frames or dynamic videos, and compare the output results before exporting for review or publishing.
Main Capabilities
The platform provides AI image generation and editing, as well as AI video generation capabilities, supporting modes such as text-to-video, image-to-video, text-to-image, and image-to-image, with multiple built-in models to choose from, including Veo 3.1, Seedance, Nano Banana, GPT Image, Flux Kontext, Kling, Runway Gen-4, and more.
For images, Nano Banana Pro supports stronger reasoning, world knowledge, multilingual text rendering, and up to 4K output, making it suitable for scenarios such as posters, product models, launch visuals, and charts that require layout or factual structure; Nano Banana 2 combines speed with reasoning, text rendering, and subject consistency, making it suitable for rapid concept exploration; the GPT Image series is suitable for high-fidelity images, brand-safe compositions, and edits that need to strictly follow prompts.
For video, Veo 3.1 supports text-to-video, image-to-video, prompt rewriting, reference materials, first-and-last-frame workflows, and more, making it suitable for cinematic texture, product motion, and source-frame animation; Kling 3.0 emphasizes multimodal input and output, native audio, multi-shot, and storyboard capabilities, making it suitable for character scenes and short narrative clips; Seedance 2.0 supports motion stability, reference control, audio-video generation, and cinematic camera movement control; Runway Gen-4 is suitable for exploring short-clip motion effects starting from completed still frames.
The platform also provides directly copyable and usable AI image prompt examples, such as character design, landscape relief, fractal crowd cats, mathematical creatures, attic library, pearl flower relief, soft frog coast, tilted rabbit mascot, and more, covering a variety of creative directions.
How to Use
Users start from a prompt or a source image: use text when the idea is still at the concept stage, and upload an image when the scene, product, or subject has already been determined. Then choose the model, aspect ratio, and output settings. After generation, multiple outputs can be compared, retaining the result with the best composition and level of completion, and then exporting for review or publishing. Image upload supports common formats such as PNG, JPG, JPEG, WEBP, and GIF, and the single-file upload limit for AI source images is 64 MB. Credit consumption is related to generation, and complete information on the specific rules is not yet provided.
Applicable Scenarios
It is suitable for paid media teams turning landing page briefs into ad hooks, product showcases, and social clips; e-commerce operations creating product detail pages, ads, and launch page assets from product photos, packaging references, or catalog ideas; product marketing teams building launch visuals, feature explainer images, presentation images, and announcement clips. It can also be used for beauty, fashion, culture, and creator-led concept drafts, and after still frames are feasible, switch to image-to-video to test whether there is enough dynamic expressiveness for short videos or event teasers.
Limitations
Complete explanations are not yet provided in the materials regarding charges, pricing, specific credit rules, commercial licensing details, and the full parameters corresponding to model versions. Some model capability descriptions come from official documentation, and actual availability is subject to the platform's current version.
