Haiper AI

Haiper AI was a London-based generative video platform that became known for turning text prompts and images into short AI-generated videos. It attracted creators looking for an accessible way to experiment with text-to-video and image-to-video generation.

There is one important detail that changes how Haiper AI should be reviewed today: the consumer product is no longer available.

The former Haiper consumer application went offline in February 2025. Current checks of the official domain no longer show the old signup and video-generation experience, while current industry references describe the consumer platform as discontinued. The underlying Haiper video technology has continued in other forms, including through NetMind.AI’s enterprise infrastructure.

Haiper AI Was Built Around Short, Visual Generations

Haiper’s original consumer product focused on short-form generative video rather than long-form editing.

Its core workflows included text-to-video and image-to-video generation. Users could describe a scene or provide an image and ask the system to create movement around the visual input.

The platform also developed additional creative functions around video transformation. Historical product coverage describes capabilities including video repainting, video extension, keyframe conditioning, image animation, and other short-form generation workflows.

This made Haiper particularly relevant to creators who wanted to experiment with motion without recording conventional footage.

Text-to-Video and Image Animation Were the Main Attraction

Haiper’s text-to-video workflow was straightforward in concept.

The user supplied a description of the desired scene, and the system generated a short clip based on that prompt. This placed Haiper in the same broad category as other early consumer video generators that were trying to make generative video accessible through a browser.

Image-to-video was another important part of the product.

Instead of asking the model to create the entire visual composition from scratch, users could provide a still image and use generation to introduce movement. This was useful for artwork, product images, photographs, characters, and other static material.

Historical documentation also describes video repainting, allowing existing footage to be visually transformed. Keyframe-related controls and video extension were additional parts of Haiper’s evolving toolkit.

These capabilities gave Haiper a broader role than a basic text-to-video generator.

Haiper’s Product History Moved Quickly

Haiper was founded in London in 2021 by Yishu Miao and Ziyu Wang, researchers with backgrounds connected to Google DeepMind. The company became publicly visible as a generative-video startup in 2024.

Its model development moved quickly.

Haiper’s public product progressed through multiple generations, including Haiper 1.0 and Haiper 2.0. A 2.5 model and public API were also reported near the end of 2024. Haiper also partnered with VEED, putting its technology into another video-editing environment.

That progression is important because many online Haiper AI articles describe different versions of the product.

A page discussing an older Haiper model may therefore be accurate for its publication date while still being outdated for someone searching today.

What Happened to Haiper AI?

The biggest question for anyone searching for Haiper AI in 2026 is not about prompts or video quality.

It is: what happened to the platform?

The consumer application went offline in February 2025. Current independent references describe the consumer service as discontinued, while the official domain no longer provides the former consumer generation interface.

The company’s founders subsequently moved to Microsoft AI. BusinessCloud reported in March 2025 that Haiper co-founders Yishu Miao and Ziyu Wang had joined Microsoft as technical staff.

The underlying technology followed another path. Current model-tracking sources report that NetMind.AI acquired Haiper’s video-generation models in 2025 and incorporated the technology into enterprise-oriented infrastructure.

This creates an important distinction:

Haiper’s technology and Haiper’s consumer application are not the same thing.

The models can continue to exist or be used through other infrastructure without restoring the old Haiper website as a consumer video generator.

For an individual creator searching for a place to generate a new video, that distinction means the old Haiper workflow is not currently available.

Why Old Haiper AI Pricing Pages Can Be Misleading

Search results still contain pages describing Haiper’s former free and paid plans.

Some historical references mention free access, paid memberships, credit systems, watermarks, and plans such as Explorer and Pro. Those figures belong to earlier versions of the consumer product and should not be presented as current subscription options.

Current 2026 sources specifically warn that old figures continue to circulate even though the consumer product cannot be purchased.

For that reason, there is no current consumer Haiper AI price that should be listed as an active subscription on a 2026 review page.

This is an important SEO and user-trust issue.

The same principle applies to free credits.

Older articles may mention daily generations or free credits. Those numbers should not be interpreted as a current free plan.

The API Story Is Different From the Consumer App

Haiper also developed an API before the consumer platform disappeared.

Historical documentation and independent references describe programmatic video generation through an API, including text-to-video and image-to-video workflows. Haiper’s technology was also integrated into third-party products such as VEED.

But this does not mean that an individual creator can simply sign up for the old Haiper consumer API today.

The current situation is better understood as a technology transition. The underlying models have been associated with NetMind.AI’s enterprise infrastructure rather than the original consumer application.

For developers, that means the relevant question is no longer “How do I sign up for Haiper AI?” It is “Where, if anywhere, are the underlying Haiper models currently exposed?”

That is a very different product-search intent.

Haiper’s Legacy Still Matters in the AI Video Market

Even though the consumer product is gone, Haiper remains relevant as part of the history of generative video.

The platform appeared during a period when AI video moved rapidly from experimental research toward accessible consumer products. Haiper helped popularize workflows where users could start with a text description or a still image and quickly produce a short moving scene.

Its story also illustrates how quickly this category changes.

A video generator can have active users, new models, integrations, paid plans, and a growing creator community one year, then disappear from the consumer market the next.

That is especially important for people building content workflows around cloud-based AI services.

Creators should keep source prompts, reference images, exported videos, project assets, and other important material outside the AI platform itself. Haiper’s shutdown shows why an online generation service should not automatically be treated as a permanent asset library.

The underlying lesson is practical rather than dramatic: AI tools can change ownership, availability, pricing, or product direction much faster than traditional creative software.

What Should You Use Instead of Haiper AI?

If the goal is to generate video today, Haiper is not a current consumer option.

Active alternatives in the same broad market include Kling AI, Runway, Pika, Vidu AI, Luma, and Google Veo. These platforms cover overlapping text-to-video and image-to-video workflows, although their pricing, controls, models, output lengths, and commercial terms differ.

Kling and Vidu are particularly relevant for users looking for short generative clips and character-oriented workflows. Runway is relevant to creators looking for a broader generation and editing environment. Luma and Google Veo are other important names in current AI video research.

The right replacement depends on the workflow that originally brought someone to Haiper.

That approach is more useful than trying to recreate the old Haiper subscription.

Haiper AI in 2026: A Historical Product, Not a Current Consumer Tool

Haiper AI was a significant early player in consumer generative video, particularly around text-to-video, image-to-video, and short visual transformations.

But the current status is straightforward: the original Haiper consumer video platform is discontinued.

The old free-plan information, subscription prices, generation limits, and tutorials that still appear in search results should therefore be treated as historical unless they can be independently verified against a currently operating service.