What is Crun?
Crun is an AI API platform that gives developers access to 100+ AI models across video, image, audio, and text generation. It solves the problem of managing separate API keys, accounts, and billing relationships for every AI provider a team wants to use. Everything routes through a single API endpoint instead.
The platform is OpenAI-compatible, meaning existing apps that already call OpenAI can switch to Crun’s AI API with a one-line code change. Developers get a pay-as-you-go model with no monthly subscription requirements and a free trial to test models before spending anything.
Features & Benefits
- Unified Multi-Model Access: connect to 100+ AI models across video, image, audio, and LLM categories through one AI API endpoint.
- AI Video Generation: generate text-to-video, image-to-video, and reference-to-video content with models including Veo, Sora, Seedance, Kling, Runway, and Vidu.
- Native Audio-Video Sync: produce video outputs with synchronized audio baked in at up to 1080p resolution.
- Precise Camera Control: direct scene composition and camera movement within AI video generation requests.
- AI Image Generation: run text-to-image and image-to-image requests with 50+ models, including GPT Image, Flux, Imagen, and Seedream.
- Image Repair and Upscaling: restore or upscale existing images through the AI API up to 4K resolution.
- Style Transfer: apply visual style changes to images while preserving consistent character and visual identity across outputs.
- AI Audio Generation: generate voice, music, and ambient sound through models including Qwen3 TTS and Suno API.
- Text-to-Speech and Voice-to-Voice Conversion: produce natural-sounding speech in multiple languages with flexible audio style options.
- LLM Access: call frontier language models including GPT, Gemini, and Claude through the same API.
- OpenAI-Compatible Endpoint: replace existing OpenAI API calls with Crun using a single line of code change.
- Built-in Usage Monitoring: track real-time request logs, usage stats, and debugging output directly in the dashboard.
- Interactive Developer Playground: test models and review Python, JavaScript, and cURL examples before writing any production code.
- Pay-as-You-Go Pricing: pay per request with no monthly minimum; volume discounts apply as usage scales.
- Global Infrastructure with Smart Routing: requests route automatically to the fastest available endpoint, with 99.9% uptime.
What can Crun do?
- Call 100+ AI models through one AI API endpoint
- Replace OpenAI API calls with a one-line code change
- Route requests to video, image, audio, and LLM models
- Send text-to-video and image-to-video generation requests
- Submit text-to-image and image-to-image requests
- Run text-to-speech and voice-to-voice conversion requests
- Call music generation models via API
- Access frontier LLMs including GPT, Claude, and Gemini
- Monitor API usage and request logs in real time
- Debug API requests through built-in logging tools
- Test models before integration using an interactive playground
- Scale requests with pay-as-you-go per-request billing
Real-World Applications
Developers building video production tools or creative apps can plug into Crun’s AI API to offer users access to models like Veo and Kling without negotiating separate provider agreements. A small team building a short-form video app might use text-to-video and image-to-video endpoints with native audio sync, all billed on a single per-request account.
Startups and solo developers watching their spend closely may find the pay-as-you-go model useful. There’s no lock-in to a monthly seat fee, and the cost savings compared to going direct can be significant depending on volume. A developer running image generation at scale for an e-commerce client, for example, can process text-to-image and upscaling jobs through the same AI API without managing separate Flux and GPT Image billing.
Product teams already integrated with OpenAI can migrate to Crun without rewriting their codebase. The drop-in compatibility means a backend engineer can point an existing app at Crun’s endpoint and gain access to a wider model catalog immediately. This is useful when a team wants to test a newer or cheaper model without building new integration work.
Audio app builders may find the combination of TTS, voice-to-voice, and music generation useful in one place. A developer building a podcast tool, a language learning app, or a game with ambient sound generation can call Qwen3 TTS and Suno API through the same AI API key they already use for image and text tasks.
Enterprise teams and agencies managing AI output at scale can use Crun’s built-in logging and usage monitoring to track costs and debug issues per request. A digital agency running image generation and video creation jobs for multiple clients can separate usage by project and keep billing transparent without building custom tracking infrastructure.
