Crun.ai API

Introduction to Crun.ai API

Crun.ai API is a unified AI API platform designed for developers who need programmatic access to multiple state-of-the-art artificial intelligence models across modalities. It provides a single, consistent interface to invoke video, image, audio, and text generation models—eliminating the need to integrate with disparate provider APIs individually. The platform serves software engineers, product teams, and AI application builders seeking standardized, reliable, and cost-efficient access to multimodal foundation models.

Target users include SaaS developers integrating generative media capabilities into their applications, startups building AI-native products, and enterprises standardizing AI infrastructure across internal tools. Crun.ai API abstracts model-specific implementation details while preserving control over input parameters, output formats, and usage monitoring.

Key Takeaways

• Unified API endpoint supporting over 100 AI models across video, image, audio, and text modalities
• OpenAI-compatible interface enabling drop-in integration with minimal code changes
• Pay-as-you-go pricing with transparent per-request costs and volume-based discounts
• Global infrastructure delivering 99.9% uptime and average response time of 24.8 seconds
• Comprehensive developer tooling: interactive documentation, SDK examples (Python/JavaScript/cURL), real-time usage logs, and debugging support
• Built-in support for multilingual prompts, high-resolution output (up to 4K), and multi-step workflows (e.g., image-to-video, reference-to-video)
• Model-agnostic task orchestration: submit jobs via CreateTask endpoint with standardized payload structure

How Crun.ai API Works

Developers begin by registering an account and generating a personal API key. Using this key, they send HTTP POST requests to the /api/v1/client/job/CreateTask endpoint, specifying a supported model identifier (e.g., veo-3-1, nano-banana-pro) and a JSON payload containing modality-specific input fields—such as text prompts, source images, or reference videos. The API validates the request, routes it to the optimal inference endpoint based on load and region, and returns a task ID.

Clients then poll or use webhooks to retrieve job status and results. Responses follow a consistent schema regardless of underlying model, simplifying client-side parsing and error handling. All usage—including latency, success rate, and token consumption—is tracked in real time through the Crun dashboard, supporting capacity planning and cost attribution.

The platform supports both synchronous and asynchronous workflows, with model-specific capabilities documented in detail (e.g., Veo 3.1 supports text-to-video, image-to-video, and reference-to-video; Seedream 4.5 supports text-to-image and image-to-image with high-fidelity restoration).

Core Benefits and Applications

Crun.ai API enables practical applications across media production, marketing automation, and enterprise software. For example, a marketing platform can generate social media video ads using Wan 2.6 for multi-speaker dialogue and Vidu Q2 for cinematic quality—orchestrated through one API contract. An e-commerce application may use Nano Banana Pro for consistent product image generation across languages and resolutions, while a creative suite integrates Flux Kontext and Imagen 4 for professional-grade image editing and upscaling.

The unified interface reduces engineering overhead: teams avoid maintaining separate integrations for OpenAI, Google, Runway, Suno, or other providers. Cost optimization is achieved through consolidated billing, predictable per-request pricing (e.g., $0.015–$0.30 per invocation depending on model and complexity), and elimination of redundant infrastructure. Security and compliance are reinforced through enterprise-grade data handling policies, TLS encryption, and adherence to industry-standard privacy frameworks.