Happy Horse AI is a browser-based AI video tool for creating and editing clips from text, images, references, or existing footage. It centers on a single workflow for AI video creation, with the stated aim of moving from idea to export faster. The page describes it as suited to social, product, and creative content.
Its workflows include text-to-video, image-to-video, reference-to-video, and video editing. Text prompts can be turned into short clips with duration, resolution, and aspect-ratio controls. The image workflow can animate a still image, define first and last frames, or continue motion from an existing clip. Reference-guided generation can use reference images, videos, first frames, or voice input to guide style, motion, and subject direction. The editing workflow accepts an uploaded clip, applies prompt-driven edits, and lets the user keep the original audio or switch to AI audio. The page also notes workflow-specific controls, including settings for first and last frames, reference assets, and audio handling.
Happy Horse AI supports 720p and 1080p output and flexible aspect ratios, including 16:9, 9:16, 1:1, 4:3, and 3:4. It is delivered in a browser-based workspace, and the site refers to credit-based access with plans that can be chosen according to usage, along with references to saved generations and faster processing on pricing pages. The site also provides contact information at [email protected]. The name Happy Horse 1.0 appears on the page as part of the product’s text-to-video workflow and platform labels.
In the Other video generation space, Happy Horse AI takes a focused approach. It allows users to quickly create and edit videos from text, images, or existing clips using AI workflows. It is built as a consumer product for content creators and marketers. Happy Horse AI follows a freemium model. It runs on the web.
Happy Horse AI first shipped in 2024. Key capabilities include text-to-video, image-to-video, and video editing. The interface is available in English and Chinese.
Summary written by a language model from the project’s public pages.
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