Purpose Potto AI is mainly used to create motion graphics and AI images, with application areas including product videos, product explainers, and various marketing or concept visual assets. Users can generate motion graphics composed of animated text, shapes, screenshots, and illustrations, as well as generate single images for campaign key visuals, character concepts, illustrations, or photo-style scenes.
Main capabilities
- AI motion graphics generation: Combine moving text, shapes, screenshots, and illustrations for product stories and explainer content, with support for widescreen, vertical, square, and other formats.
- AI video generation: Propose a storyboard based on the materials; users can review scenes, adjust information, and finally export as MP4.
- AI image generation: Starting from prompts or existing images, choose models and image sizes as needed to generate campaign visuals, character concepts, illustrations, or photo-style scenes.
- Style presets: Provide previewable style presets for handling screenshots, scene text, and brand colors; users can check the effect in the editor with the actual project.
How to use
- Motion graphics video workflow: First provide real materials, such as adding product screenshots and descriptions, or start an explainer video from a topic/article; clarify what the audience should understand and what matters most. Then review the storyboard proposed by AI, put the strongest points first, streamline text that competes with the visuals, and for explainer content verify the script and factual statements. Finally preview the scenes together, adjust usable text, visuals, and settings, check readability on small screens, whether transitions are smooth, and whether the ending feels natural; once confirmed, export MP4.
- Image generation workflow: Start with a brief description of the new visual or a reference image for specific modifications, and choose the composition around where the image will appear. If using a reference image, you can specify what should remain recognizable and what should change, for example keeping white wired earphones while switching to a light gray reflective surface and soft studio lighting; the reference image can guide the subject, pose, or visual arrangement, but exact replication is not guaranteed. After generation, compare with the reference image and check cables, small markings, edges, and shadows, especially when the image is used to represent a real product.
- Prompt usage: The platform provides multiple image prompt examples covering directions such as abstract oil painting, realistic scenes, portraits, food photography, macro, and wildlife, which users can adapt to their own tasks. The motion graphics examples section can be played to view the motion effect, and when the author shares it, users can copy their prompt or write their own brief.
Applicable scenarios
- Product launches and feature stories: Bring current screenshots and a short product description, focus on the task the audience cares about, show the corresponding feature, and close with a useful next step, suitable forlaunch pages, release notes, or social announcements.
- Explainers and short social courses: Start with a question, an article, or a focused topic, organize the script and facts, then pair with narration and illustrations.
- Marketing visuals: Turn product ideas into website key visuals or campaign visuals, clearly showing the content, visual style, and title placement.
Limitations The materials do not provide information such as pricing, charging model, platform support scope, specific export resolutions, model list, or usage quotas. Style presets are a starting point and do not imply unrestricted keyframe animation or a custom motion design timeline. Motion screenshots are used to illustrate the story and should not be mistaken for continuous screen recordings of product use. Reference images only guide the direction of change and do not guarantee exact replication.
