HiAPI

HiAPI is a developer-first AI API platform designed to unify image, video, and audio generation through a single, powerful interface. Built for modern mobile and web applications, HiAPI eliminates the complexity of managing multiple AI model providers by offering one API key, one endpoint, and one schema for all leading generative models. Whether you are building a social media app that needs instant image generation, a video editing tool requiring cinematic clips, or a music creation platform that turns prompts into songs, HiAPI provides the infrastructure to ship faster. The platform supports OpenAI-compatible requests, making integration seamless for developers already familiar with standard AI APIs. A standout feature is persistent artifact storage: every output comes back as a durable link, so you do not need to build or maintain your own storage system. HiAPI is also AI agent friendly, supporting MCP (Model Context Protocol), Skills, and llms.txt for easy integration with agents like Claude, Cursor, and Codex. With unified billing, pay-as-you-go pricing, and transparent costs per model, HiAPI empowers developers to scale from prototype to production without hidden surprises. The platform now supports Seedream 5.0 Pro for advanced text-to-image and image-to-image generation, alongside curated models like GPT Image 2, FLUX 1.1 Pro, Seedance 2.0 for video, and MiniMax Music 2.6 for audio. HiAPI is the go-to solution for any team looking to add generative AI capabilities to their mobile or web app with minimal overhead, maximum reliability, and full control over costs.

Unified API for All Models

HiAPI provides a single endpoint and schema for every image, video, and audio model on the platform. Instead of juggling different API keys, authentication methods, and request formats for each provider, you simply pass the base model name and model-specific parameters through one consistent interface. This unified approach drastically reduces integration time and maintenance overhead, allowing your team to focus on building user-facing features rather than managing infrastructure. Whether you call GPT Image 2 for text rendering or Seedance 2.0 for cinematic video, the request lifecycle remains identical, making it easy to swap models or add new capabilities without rewriting code.

Persistent Artifact Storage

Every output generated through HiAPI comes back as a durable, low-cost link that persists indefinitely. This eliminates the need to build and maintain your own storage system for AI-generated assets. When you set the storage parameter to "persistent" in your task request, the platform automatically stores the generated image, video, or audio file and returns a stable URL. This is especially valuable for mobile apps where user-generated content needs to be shared, displayed, or referenced later. You can retrieve artifacts at any time, track each task's status, and receive callbacks on completion, all without managing file servers or cloud storage buckets.

AI Agent Friendly Integration

HiAPI is designed from the ground up to work seamlessly with AI agents and large language models. The platform supports Model Context Protocol (MCP) for agent-accessible tools, Skills for reusable agent instructions, and llms.txt for easy discovery and wiring. This means you can paste a simple prompt into your agent (like Claude or Cursor) and have it understand HiAPI's models and APIs instantly. The agent can then choose the best integration path whether that is Skills, Remote MCP, or direct API calls. This feature is perfect for developers building autonomous workflows, chatbots, or any application where an AI agent needs to generate media on the fly.

Production-Grade Reliability

HiAPI is built for real-world load with availability-first routing, automatic callbacks, and 24/7 support. The platform handles task submission, status checking, and artifact retrieval through a simple lifecycle that supports idempotency keys to prevent duplicate tasks. You can set up callbacks to get notified on completion instead of polling, which is essential for high-throughput mobile apps. The routing system ensures that even during peak usage, your requests are processed reliably. Combined with transparent pricing per model, HiAPI gives you the confidence to ship generative AI features in production without worrying about downtime or unexpected costs.

Social Media Content Creation

Mobile apps for social media can leverage HiAPI to let users generate custom images, videos, or audio clips directly within the app. For example, a user could type a prompt like "a glass speaker, studio light" and instantly receive a high-quality image generated by GPT Image 2 or Seedream 5.0 Pro. The persistent artifact links mean the generated content can be shared, saved, or edited later without extra storage costs. This use case is ideal for apps focused on user-generated content, digital art, or personalized marketing materials, where speed and simplicity are critical for user retention.

Video Editing and Production

Video editing apps can integrate HiAPI to generate cinematic clips using models like Seedance 2.0, which supports multi-shot consistency and native audio. Editors can submit a task to create a short video from a text description, check its status, and receive a callback with the final artifact link. This allows for rapid prototyping of scenes, background videos, or promotional content without needing expensive hardware or complex rendering pipelines. The unified API makes it easy to switch between image and video models within the same workflow, enabling seamless transitions between static and dynamic assets.

Music and Audio Generation

Music creation platforms and audio apps can use HiAPI to turn prompts and lyrics into complete songs with models like MiniMax Music 2.6, which offers instrumental mode. A user could describe the mood and style of a track, and the platform generates a full audio file with persistent storage. This is perfect for background music in videos, podcast intros, or even full song creation for indie artists. The callback feature ensures that long-running audio generation tasks notify the app upon completion, allowing users to continue browsing while the AI works in the background.

AI Agent Automation

Developers building AI agents for task automation can integrate HiAPI to enable agents to generate images, videos, or audio on demand. For instance, an agent could be tasked with creating a social media post: it generates an image using HiAPI, writes a caption, and schedules the post all in one workflow. The llms.txt and MCP support mean the agent can discover HiAPI's capabilities automatically, select the appropriate model, and handle the entire generation lifecycle. This use case is powerful for marketing automation, content scheduling, and any scenario where an AI assistant needs to produce media assets without human intervention.

How do I get started with HiAPI?

Getting started is simple. Sign up on the HiAPI website to receive a free API key, which comes with up to $1 in free credits to test the platform. You can then use the API docs to make your first request using curl, JavaScript, or Python. The platform supports OpenAI-compatible requests, so if you have experience with OpenAI's API, you will find the transition seamless. Just set your API key in the Authorization header and send a POST request to the /v1/tasks endpoint with your model choice and input parameters. The response includes a task ID that you can use to track progress.

What models are available on HiAPI?

HiAPI offers a curated selection of leading generative models for image, video, and audio. For images, you can use GPT Image 2 for sharp text rendering, Nano Banana 2 for fast generation with character consistency, FLUX 1.1 Pro for high-fidelity results, and Seedream 5.0 Pro for flagship image generation and editing. For video, Seedance 2.0 provides cinematic quality with native audio and multi-shot consistency. For audio, MiniMax Music 2.6 turns prompts and lyrics into complete songs with an instrumental mode. The platform continues to add new models, and you can explore the full list on the models page.

How does persistent storage work?

When you set the storage parameter to "persistent" in your task request, HiAPI automatically stores the generated output and returns a durable link. This link remains accessible indefinitely, so you do not need to build your own storage system or worry about file expiration. You can retrieve the artifact at any time using the task ID or the returned URL. This is especially useful for mobile apps where you want to display generated images or videos without managing cloud storage. There is a low cost associated with persistent storage, which is transparently included in the model pricing.

Can I use HiAPI with AI agents like Claude or Cursor?

Yes, HiAPI is designed to be AI agent friendly. It supports MCP (Model Context Protocol) for agent-accessible tools, Skills for reusable agent instructions, and llms.txt for easy discovery. You can paste the llms.txt prompt into your agent so it understands HiAPI's models and APIs. The agent can then decide whether to use Skills, Remote MCP, or direct API calls as the integration path. This makes HiAPI ideal for building autonomous workflows where an AI agent needs to generate images, videos, or audio as part of a larger task.