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Haiper aiWhat happened to haiper aiHaiper ai shut downHaiper ai alternatives 2026

What Happened to Haiper AI?

Haiper AI's consumer web app went offline in February 2025 with no email, no in-app notice, and no migration path -- affecting an estimated 4.5 million users. The cofounders (Yishu Miao and Ziyu Wang) joined Microsoft AI in March 2025. The underlying video generation models were sold to NetMind.AI by mid-2025. As of June 2026, Haiper.ai as a consumer product is permanently offline. The technology runs inside NetMind Power's B2B infrastructure and is not publicly accessible in the way the original product was.

By the FluxNote Editorial Team · Last updated: June 12, 2026

What Was Haiper AI?

Haiper was a generative AI video platform launched in 2023 that allowed users to generate short video clips from text prompts and images, animate still photos, and extend existing video clips.

It was backed by $32 million in venture funding and built by a team with strong ML credentials -- cofounders Yishu Miao and Ziyu Wang previously worked at DeepMind and ByteDance respectively.

Haiper's consumer product was notable for its quality-to-access ratio: it offered meaningfully capable text-to-video generation with a free tier at a time when most competitors were more expensive or more restrictive. At its peak, Haiper reported 4.5 million registered users.

Haiper was a pure video generation tool -- it did not produce complete edited videos with voiceover, captions, or assembled narratives. It generated raw clips (typically 2 to 4 seconds) suitable as raw material for editors or as creative assets.

Why Did Haiper Shut Down?

Haiper never publicly stated an explicit shutdown reason, but the economics are well-documented by the circumstances.

Running a consumer-grade generative AI video model requires sustained GPU compute at a cost structure that is difficult to cover with free-tier users or modest subscription fees.

The consumer AI video space in 2024 and 2025 was aggressively commoditizing -- aggregator platforms began bundling multiple AI video models under single monthly subscriptions, making it harder for standalone models to justify direct subscriptions.

Haiper's $32 million in funding was not sufficient to sustain the combination of compute costs, free-tier access, and the model training investment needed to stay competitive with better-funded players.

By late 2024, multiple comparable text-to-video models were available through aggregator platforms at lower per-clip effective costs than Haiper could match.

The decision to wind down the consumer product appears to have preceded the Microsoft hires, not followed them -- cofounders joining Microsoft in March 2025 was the exit, not the cause.

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The Microsoft and NetMind.AI Connections

Two separate transactions closed out Haiper's story, and they are often conflated.

Microsoft AI hired the founders

In March 2025, cofounders Yishu Miao and Ziyu Wang joined Microsoft AI as senior members of technical staff. Lead ML researcher Edward Hayes followed. This was a talent acquisition, not a company acquisition. Microsoft did not buy Haiper -- they hired the people and the company stopped operating behind them.

NetMind.AI acquired the models

By mid-2025, Haiper's video generation models were sold to NetMind.AI, a decentralized AI compute platform focused on B2B enterprise applications. NetMind integrated Haiper's Text2Video 2.0 model into their NetMind Power inference infrastructure.

As of June 2026, Haiper's technology lives inside NetMind.AI's platform, accessible through their B2B API. The consumer-facing Haiper.ai product with its free tier and web interface is not coming back. NetMind's use case is enterprise inference, not consumer video generation.

The key takeaway for users: the friendly consumer product is gone, and the technology is now locked inside enterprise infrastructure with no consumer access path.

What Should Haiper Users Migrate To?

The right replacement depends on what you were using Haiper for.

If you were using Haiper to generate raw creative clips (text-to-video for art, social content, or B-roll)

The closest quality alternatives as of June 2026 are Kling AI (strong at cinematic motion, accessible pricing), Runway (Gen-4, higher cost but strong quality), and MiniMax Hailuo AI (free tier available, competitive quality). All three produce similar short-clip generation outputs to what Haiper offered.

If you were using Haiper for animated photos or image-to-video

Runway's image-animation and Kling's image-to-video modes are direct replacements. Luma Dream Machine also handles image-to-video well at mid-tier pricing.

If you were using Haiper for complete marketing videos (not just raw clips)

Haiper was not a complete video production tool -- it only generated the raw clips. If your workflow was Haiper clips plus manual editing, the above alternatives cover the clip generation step.

If you want to skip the clip generation and manual assembly entirely and produce complete faceless marketing videos from a script or brief, FluxNote does the full pipeline end-to-end at $10/month -- script, AI voiceover, matched footage (including AI-generated video where relevant), and animated captions in one automated pass.

This is a different scope than what Haiper offered, but it is what many Haiper users were trying to reach when they combined Haiper output with other tools.

Aggregator platforms

Pika, Luma AI, and similar multi-model interfaces often bundle several text-to-video models under one subscription. If you want model variety without committing to a single provider, aggregators are worth evaluating.

Lessons From the Haiper Shutdown

The Haiper shutdown -- no announcement, no export tool, no wind-down period -- is a useful case study for anyone building a creative workflow on AI infrastructure.

The practical lessons:

Free tiers are compute subsidies, not promises.

When the economics shift, free access disappears first and fastest. If your production workflow depends on a free-tier AI tool, you are one funding cycle away from losing it.

Consumer AI products with no revenue model are structurally fragile.

Haiper had millions of users and tens of millions in funding and still could not sustain the product. The gap between GPU costs and consumer willingness to pay for AI video generation was not closeable at Haiper's scale.

Diversify your toolchain.

Building on a single AI provider's infrastructure -- whether for video generation, image generation, or any other capability -- creates fragility. Using aggregator platforms or maintaining fallback options reduces the impact when any individual tool disappears.

As of June 2026, the text-to-video space has consolidated further since Haiper's exit. The surviving consumer-accessible options are better capitalized and more stably priced than Haiper was, but the structural risk -- AI model companies burning through capital faster than they can monetize -- has not gone away.

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