Haiper

Haiper is an AI-powered generative video platform developed by Haiper, an AI research and product company based in London. The company was founded in late 2021 by Dr. Yishu Miao and Dr. Ziyu Wang, both of whom previously worked as machine-learning researchers at Google DeepMind. Haiper focuses on perceptual foundation models designed to understand visual content, motion, objects, textures, and aspects of real-world physics to produce generated visual media.

The platform was created primarily around AI video generation and provides tools for turning text prompts and images into animated video. Its approach is designed to make generative video accessible to creators without requiring professional video-production or technical skills. Haiper’s interface emphasizes straightforward prompting and visual controls rather than complicated technical workflows.

One of Haiper’s main capabilities is text-to-video generation. Users can describe a scene, subject, action, or visual concept in natural language and use the prompt to create a short video. This makes the platform suitable for concept visualization, social-media content, creative experimentation, advertising concepts, and other short-form visual projects.

Haiper also supports image-to-video generation, allowing users to upload a still image and animate it with a text prompt. This can turn artwork, photographs, illustrations, product images, or other static assets into moving content. The image-to-video workflow gives creators another way to control the visual starting point of a generation instead of relying entirely on a text description.

Another important capability is video repainting. Haiper can modify portions or visual characteristics of an existing video using generative AI. Users can select areas of a video and describe how they want those areas changed. This makes the platform useful not only for creating new footage but also for experimenting with modifications to existing visual content.

Haiper also provides video extension capabilities, allowing creators to continue an existing video with generated content. This can be useful when a short generated clip needs additional visual material or when creators want to experiment with extending a scene.

The platform has historically offered controls such as seed, duration, and aspect ratio. Seed controls can help with repeatability, while aspect-ratio options make it possible to prepare content for different formats, including social-media-oriented vertical video and wider cinematic formats.

Haiper’s technology has developed through several model generations. Haiper 2.0 was introduced as a major improvement focused on quality, realism, and generation speed, while Haiper 2.5 subsequently powered its API and partnerships. Haiper has emphasized realistic physical motion and visual fidelity as important parts of its model development.

Beyond its consumer-facing creation tools, Haiper has also developed an API for businesses and developers. The API has supported text-to-video, image-to-video, video extension, image generation, and enhancement-related capabilities. Published API pricing has included per-second video generation and per-image image generation, making the technology suitable for applications that need to incorporate generative media into their own products or workflows.

Haiper has also partnered with other creative platforms. One documented integration is with VEED, where Haiper’s video-generation technology was incorporated into VEED’s online video editor. This allowed VEED users to generate video content from prompts and images inside another editing environment.

The company positions Haiper as a broader perceptual foundation-model company rather than simply a basic video-generation interface. Its research has focused on enabling models to understand elements such as movement, light, texture, and interactions between objects. This emphasis is intended to improve the realism and coherence of generated visual content.

Haiper can therefore be useful for creators who want to experiment with AI-generated video without building their own generative models. Its strongest applications are short-form video generation, image animation, visual experimentation, creative advertising, social-media content, concept development, and integration of AI video generation into third-party applications through its API.

Pricing

Haiper has historically used a freemium and subscription-based model, with a free tier providing limited video generation and paid memberships offering additional generation capacity and features.

The last published membership structure documented by Haiper included a free plan and paid Explorer and Pro memberships. The Explorer plan was published at $10/month, or $8/month when billed annually, while the Pro plan was published at $30/month, or $24/month when billed annually. Paid memberships provided additional credits, higher concurrency, and other creator features. Pro additionally provided watermark-free video, private creation, and commercial-use rights.

Haiper’s documentation states that membership pricing was subject to change while the subscription plans were in beta. Because the current Haiper homepage does not expose a live consumer pricing table, these membership prices should be treated as the last published pricing rather than guaranteed current consumer prices.

For its API, Haiper has published usage-based pricing. The published API pricing included $0.05 per second for several Haiper video-generation configurations, with some 540p image-to-video generation listed at $0.033 per second. Image-generation pricing for Haiper Image 2.0 was listed at $0.04 per 720p image, $0.08 per 1080p image, and $0.12 per 4K image.

Review

Haiper’s main strength is its focused approach to generative video. Instead of trying to become a general-purpose creative suite, its core technology is centered on generating and transforming visual content. Text-to-video and image-to-video give creators two straightforward ways to produce clips, while repainting and extension provide additional control over existing footage.

The interface is another useful aspect of the platform. Haiper has historically emphasized a simple workflow in which users can describe what they want and generate content without needing complex technical commands. This makes it accessible to users who are new to generative video.

Its API is also important for businesses because it extends Haiper beyond individual creative projects. Developers can integrate video and image-generation capabilities into their own products and workflows, while partnerships such as the VEED integration demonstrate how Haiper technology can operate inside larger creative platforms.

There are also limitations. Haiper has primarily focused on relatively short generated clips, so users working on longer-form productions may need to generate multiple clips and assemble them in a separate editor. Generated results can also vary depending on the prompt and scene complexity. In addition, the company’s consumer membership structure has changed over time, making older published pricing less reliable as a guide to current availability.

Haiper is therefore best understood as a specialized generative-media platform focused particularly on AI video creation, image animation, video transformation, and developer access through an API.