基准评分
HappyHorse 在 Agent 就绪度与 AI 可见性上的得分 AI 就绪度和 GEO Score 是 VibeLaunch 在提交后生成的平台评估。
决策摘要
Content creators, marketers, and developers seeking AI-powered video production tools.
Generating video content from text prompts and reference images for ads, social media, product launches, and production workflows.
适合
- Generating social media video content from text prompts
- Creating ad clips and product launch videos
- Producing storyboard frames and pre-visualization assets
注意
- No independent benchmarks or third-party reviews in available sources
- Credit costs vary widely across generation types complicating budget planning
- AI model details beyond Veo 3 are not disclosed
概述
HappyHorse是一个电影级AI视频生成平台,能够将文字提示、参考帧和场景指令转化为精致的视频片段。根据其官网介绍,它支持文字转视频、图片转视频、视频配音和音频工作流,具有更强的提示忠实度、流畅动作和场景控制。
核心功能
该平台涵盖多种AI视频生成器模态。其Video Studio包括图片转视频、文字转视频、视频转视频、视频扩展和视频过渡工具。Visual Canvas负责图片转图片和文字转图片生成,而Audio Studio提供视频转音频功能——为现有片段生成同步声音、音乐和效果。
用户可以用自然语言描述镜头或上传关键帧图像来指导生成。该平台宣称支持多语言提示词,这扩大了其对于非英语创意团队的实用性。
基于积分的定价模式
HappyHoper采用积分系统。文字转视频每次生成消耗150积分,文字转图片消耗1积分,视频转音频消耗2积分。提供免费套餐,付费计划可解锁更多积分、更高使用限制和优先队列。该平台还宣传季节性促销,例如年度计划五折优惠。
导出与制作工作流
生成的片段可下载用于广告、社交媒体活动、产品发布、解说视频、数字人内容和故事板。该平台定位为面向创作者的生产导向工具,需要为商业工作流提供可复用资产。
Veo 3 API集成
HappyHorse通过Google Veo 3 API提供开发者导向的集成路径,可通过Google Cloud的Vertex AI平台访问。开发者可以程序化地发送文字提示和可选的参考图像,并接收存储在Google Cloud Storage中的生成视频文件。推荐使用Google Cloud Python SDK,其他语言可选用REST API。Veo 3 API定价基于生成的视频秒数,开发推荐720p,最终制作输出推荐1080p。
竞争格局
在更广泛的AI视频生成领域,HappyHorse与Viggle AI和Pixelverse AI等工具竞争,各有优势。Viggle AI专注于角色动作迁移,而Pixelverse AI强调角色动画和图像动画。HappyHorse通过更广泛的工作流覆盖——在同一平台中结合视频生成、图像创建和音频合成——以及其开发者API集成路径实现差异化。
局限性与未知
来源包中未披露用于生成的具体AI模型(除了API访问的Veo 3),也未提供独立基准测试结果、第三方评测或定量性能数据。关于提示忠实度和场景控制的声明均为供应商陈述,未经独立验证。可用来源中未记录该平台的隐私实践、数据保留策略和内容审核方法。
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评分构成
编辑评分由哪些维度构成,每项附判断依据。 AI 就绪度和 GEO Score 是 VibeLaunch 在提交后生成的平台评估。
Information quality
All substantive claims are vendor statements without independent verification. No benchmarks, third-party reviews, or model disclosures beyond Veo 3 are available in source materials.
The official homepage describes capabilities using vendor language such as 'stronger prompt fidelity, smooth motion, and scene control' without citing independent validation.
Ease of use
Natural language prompt input, keyframe image upload, and credit-based system suggest a straightforward user experience. Multilingual support lowers the barrier for non-English users.
Documentation shows users 'describe a shot in natural language or upload a keyframe' with multilingual prompt support, indicating a low-friction onboarding path.
Feature depth
Multiple modalities covered — text-to-video, image-to-video, video-to-video, video extend, video transition, image generation, and video-to-audio. Depth per feature is unclear without independent evaluation.
Video Studio, Visual Canvas, and Audio Studio each contain distinct generation tools, but per-feature quality and parameter controls are not documented in available sources.
Workflow fit
Production-oriented exports, developer API integration, and multilingual support provide good fit for commercial content workflows. Credit-based model may complicate high-volume pipelines.
Clips are exportable for ads, social campaigns, product launches, explainers, digital-human videos, and storyboards. Veo 3 API enables programmatic integration.
Reliability
No uptime guarantees, SLA documentation, or independent reliability data found in available sources. All reliability claims are vendor-provided.
Source materials contain no information about service availability, failure handling, or performance consistency under load.
Value
Free tier enables evaluation, but credit costs vary significantly across generation types. Without independent quality benchmarks, assessing value is difficult.
Text-to-video at 150 credits, text-to-image at 1 credit, and video-to-audio at 2 credits create a wide cost spread. Seasonal promotions advertise 50% off annual plans.
评分反映可查证的产品资料,不代表实际使用效果保证。
Agent 就绪度
评估 Agent 能否通过产品的官方信息理解产品,并重建一条有文档依据的工作流程。
Automated agent-readiness assessment of https://openhappyhorse.io/: 2 of 22 checks verified across 1 fetched pages. No substantial machine interface is documented — agents can understand and cite the product but not operate it. Absent: docs, agent_tooling_artifacts, api_reference, authentication, request_examples, response_examples.
就绪度维度
| 评估维度 | 得分 |
|---|---|
| 文档质量 | 10 |
| 执行结果可验证性 | 0 |
| 机器接口 | 0 |
| 项目定位清晰度 | 100 |
| 资源可发现性 | 55 |
| 工作流完整度 | 13 |
对 Agent 有帮助的部分
- llms txt: verified during this run
- sitemap: verified during this run
Agent 受阻的部分
- No documentation or developer pages discovered from the entry page or well-known paths.
- No agent instruction files, code-distribution commands, or named slash-command skills found across fetched pages.
- No authentication signal matched across 1 fetched pages.
- No request examples signal matched across 1 fetched pages.
- No response examples signal matched across 1 fetched pages.
- No error documentation signal matched across 1 fetched pages.
| 检查项 | 状态 | 详情 |
|---|---|---|
| 理解产品0/5 已核验 | ||
| 产品文档 | 未在本次官方来源链中找到 | |
| 快速开始 | 部分可用 | Weak signal on the entry page only: /quick ?start|getting started|in (five|5)/. |
| API 参考 | 官方明确不提供 | No api reference is offered or documented on the site. |
| 请求示例 | 未在本次官方来源链中找到 | |
| 响应示例 | 未在本次官方来源链中找到 | |
| 连接接口0/4 已核验 | ||
| SDK | 官方明确不提供 | No sdk is offered or documented on the site. |
| MCP 接口 | 未在本次官方来源链中找到 | |
| Webhooks | 官方明确不提供 | No webhooks is offered or documented on the site. |
| 认证文档 | 未在本次官方来源链中找到 | |
| 执行工作流0/6 已核验 | ||
| 命令行工具 | 官方明确不提供 | No cli is offered or documented on the site. |
| 非交互式命令 | 不适用于该产品 | No CLI was found to evaluate for this property. |
| 命令行结构化输出 | 不适用于该产品 | No CLI was found to evaluate for this property. |
| 结构化导入与导出 | 未在本次官方来源链中找到 | |
| 成功状态验证 | 未在本次官方来源链中找到 | |
| 智能体工具产物 | 未在本次官方来源链中找到 | |
| 维护与排错0/4 已核验 | ||
| 错误文档 | 未在本次官方来源链中找到 | |
| 速率限制 | 未在本次官方来源链中找到 | |
| 版本信息 | 未在本次官方来源链中找到 | |
| 更新日志 | 未在本次官方来源链中找到 | |
| 发现与验证2/3 已核验 | ||
| llms.txt | 已核验 | llms.txt published at the site root (109 lines). |
| 站点地图 | 已核验 | sitemap.xml reachable and lists site pages. |
| 智能体原生定位 | 未在本次官方来源链中找到 | |
官方证据
审计信息
- 评测时间
- 2026年8月30日
- 评测基准
- agent-readiness-v1
- 读取页面
- 1
- 来源深度
- 1
本审计从一个入口 URL 及其经过验证的官方来源链评估文档所支持的可操作性。AIGCLIST 未注册、登录、购买、执行或测试该产品的运行可靠性。
证据核查
关于该工具的公开声明,每条均标注核验状态与引用来源。
en/text-to-video已验证4openhappyhorse.io已验证核验于 2026年7月16日
HappyHorse offers a free tier with credits and paid plans that include more credits, higher limits, and priority queues.
Text-to-video generation on HappyHorse costs 150 credits per generation.
HappyHorse supports natural language prompts and keyframe image uploads with multilingual prompt support for creative direction.
HappyHorse exports polished clips for ads, social campaigns, product launches, explainers, digital-human videos, and storyboards.
https://openhappyhorse.io/en/text-to-videoblog/posts/veo-3-api-integration-guide-2026已验证3openhappyhorse.io已验证核验于 2026年7月16日
HappyHorse integrates with the Google Veo 3 API via Vertex AI, enabling programmatic video generation from text prompts and optional reference images.
Veo 3 API pricing is based on video seconds generated; 720p resolution is recommended for development and testing, with 1080p reserved for final production output.
Veo 3 generated videos are stored in Google Cloud Storage and can be programmatically downloaded for integration into applications or workflows.
https://openhappyhorse.io/blog/posts/veo-3-api-integration-guide-2026openhappyhorse.io已验证2openhappyhorse.io已验证核验于 2026年8月30日
HappyHorse is a cinematic AI video generator supporting text-to-video, image-to-video, video dubbing, and audio workflows with prompt fidelity, smooth motion, and scene control.
The entry page was fetched and analyzed for machine-interface signals (title, headings, developer links, keyword probes).
https://openhappyhorse.io/en/video-to-audio已验证2openhappyhorse.io已验证核验于 2026年7月16日
Video-to-audio generation on HappyHorse costs 2 credits per generation.
HappyHorse's video-to-audio feature generates synchronized sound, music, and effects for existing video clips based on user-guided audio style.
https://openhappyhorse.io/en/video-to-audiohttps://openhappyhorse.io/llms.txt已验证1openhappyhorse.io已验证核验于 2026年8月30日
llms.txt is published at the site root and readable.
https://openhappyhorse.io/llms.txthttps://openhappyhorse.io/sitemap.xml已验证1openhappyhorse.io已验证核验于 2026年8月30日
sitemap.xml is reachable and lists site pages.
https://openhappyhorse.io/sitemap.xmlen/text-to-image已验证1openhappyhorse.io已验证核验于 2026年7月16日
Text-to-image generation on HappyHorse costs 1 credit per generation.
https://openhappyhorse.io/en/text-to-imageen/image-to-video厂商声明1openhappyhorse.io厂商声明核验于 2026年7月16日
HappyHorse provides image-to-video, video-to-video, video extend, and video transition capabilities within its Video Studio.
https://openhappyhorse.io/en/image-to-video决策核对台
在依赖该产品或访问官网前,最值得先确认的问题。
HappyHorse offers a free tier with limited credits. Paid plans unlock more credits, higher usage limits, and priority queues.
It supports text-to-video, image-to-video, video-to-video, video extend, and video transition within its Video Studio.
Yes, the platform positions itself for production workflows including ads, social campaigns, product launches, explainers, and storyboards.
Yes, it offers Veo 3 API integration via Google Cloud Vertex AI, with Python SDK support and REST API as an alternative for other languages.
Text-to-video costs 150 credits per generation. Paid plans provide more credits and priority access. Video-to-audio costs 2 credits and text-to-image costs 1 credit.
Yes, the video-to-audio feature creates synchronized sound, music, and effects for existing clips by guiding the audio style.
请在官网核验
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