Model profile

Haiper AI video generator

A commercial AI video generator for text-to-video, image-to-video, keyframes, enhancement, and video transformation workflows.

Decision Snapshot

Score: 67

Score source: Provisional quality proxy based on official/research evidence and catalogue presence; exact external rank requires live leaderboard/API collection.. Evidence confidence is high.

Best For

  • Consumer Video Generation
  • Keyframe Workflows
  • Video Enhancement
  • API Experiments

Supported Workflows

  • T2v
  • I2v
  • Keyframes
  • Video To Video
  • Enhance

Access And Company

Built by Haiper. Public access is listed as Closed Web, Closed Api.

Entry Points

Score Breakdown

Weighted evidence dimensions separate model quality from access, web authority, ecosystem, and source confidence.

DimensionScoreWeightEvidenceConfidence
Model Quality Proxy 66 24% Provisional quality proxy based on official/research evidence and catalogue presence; exact external rank requires live leaderboard/API collection. low
Missing: live Artificial Analysis rank/Elo by modality, live Arena AI rank/score by modality
Capability Depth 80 16% Supported workflow tags: t2v, i2v, keyframes, video_to_video, enhance. Depth rewards T2V/I2V/V2V, references, native audio, editing, API, and open weights where present. high
Missing: hands-on feature verification, mode-specific limits by duration/resolution
Access And Pricing 78 12% Access types: closed_web, closed_api. Pricing note: Haiper exposes pricing through its docs and product; exact costs should be pulled into a separate pricing matrix. high
Missing: current free tier, normalized price per video minute
Version Maturity 48 12% 2 version/history entries in the profile; latest public date is 2025-2026. medium
Missing: automated release-note monitor, model ID/version mapping across providers
Ecosystem Popularity 68 10% GitHub stars are not applicable to this closed or research-only product unless an official public model repository is confirmed.

No public source link is attached yet.

medium
Missing: GitHub: n/a for closed-source model
Web Authority 52 10% SEO snapshot found product domain haiper.ai and company domain haiper.ai; sampled sitemap URL count is 0. medium
Missing: Similarweb/API traffic, Tranco rank
Company Distribution 62 10% Haiper distribution profile: Haiper is useful for consumers who want accessible text-to-video, image-to-video, keyframe conditioning, and API-backed creative workflows, though exact model lineage needs ongoing verificat... medium
Missing: app store ratings/review volume, product MAU/traffic
Source Confidence 83 6% Profile source confidence is partial with 2 official URL(s), 2 feature evidence item(s), SEO present, GitHub n/a. high
Missing: paid/API evidence refresh, manual output review artifacts

What It Is

Primary content is rendered into static HTML.

Haiper is a consumer AI video creation platform with model and pricing docs. It is not always discussed in the same frontier tier as Seedance, Kling, Veo, or Runway, but it is relevant for consumer choice because it offers practical web and API generation workflows.

For the website, Haiper should be scored as a product experience and a mid/long-tail model family until official version history and independent benchmark data are deeper.

Key Features

  • Generation productHaiper provides a public web product for AI video generation.Source
  • Pricing/docsHaiper docs expose pricing and model capability clues for comparison.Source
  • Primary source-backed profileHaiper has an official source, repository, paper, or model card attached for verification.Source

Version Progress

  • 2025-2026 / partial / partialHaiper 2.xModel/pricing docs and third-party catalogues point to newer 2.x video models.
  • 2024 / partial / partialHaiper 1.xPublic creator product era.

Latest News

Model-specific news entries link directly to the original publisher; article bodies stay off-site.

Limitations And Pricing

Haiper exposes pricing through its docs and product; exact costs should be pulled into a separate pricing matrix.

  • Version History Needs More Official Release Notes.
  • Independent Benchmark Coverage Is Thinner Than Top-Tier Models.