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Kie AI

Kie AI is a unified API platform giving developers access to 200+ video, image, audio, and LLM models through one credit-based, pay-as-you-go interface.

Overview

Kie AI is a unified AI API platform that lets developers access leading video, image, audio, and LLM models through one consistent API. Instead of integrating each provider separately, teams connect to multiple top-tier models with a simpler workflow, unified documentation, and transparent pricing.

Key Features

  • One API for 200+ models: Access video, image, audio, and LLM models โ€” including Veo, Kling, Seedance, Runway, Claude, GPT, Gemini, Nano Banana, and Suno โ€” from a single gateway. Switch models by changing the model_id rather than rebuilding your backend.
  • Unified parameter schema: All models share a consistent, predictable API pattern, so you don't need to learn a different API for each provider.
  • Pay-as-you-go credits: Usage is billed from one credit wallet. Credits never expire, the pricing page lists each model's price, and failed tasks are never charged.
  • Async tasks with webhooks or polling: Submit a generation task, then receive a webhook callback when media is ready or use standard status polling, depending on your architecture.
  • Playground for testing: Try prompts, compare model outputs, and adjust parameters in a real API environment before writing production code.
  • Coding-agent support: Install the KIE skills once so agents like Claude Code, Codex, and Cursor can find the right model, read its parameters, run tasks, and return results.

Typical Use Cases

  • Building AI media features into an app: A developer adds image, video, music, or speech generation to their product by integrating one API rather than several provider SDKs.
  • Comparing and selecting models: Teams evaluate outputs across models such as GPT Image, Nano Banana, Veo, and Kling in the Playground before committing to a production choice.
  • High-volume generation workflows: Async request handling with webhook callbacks supports production pipelines, as described by a video SaaS founder using webhooks instead of long polling for Veo and Kling generation.
  • Agent-driven development: Coding agents can look up models, check prices, upload input files, and poll until results are ready.

How It Works

  1. Choose a model from the available video, image, audio, or LLM options using the unified parameter schema.
  2. Send an async generation request through the shared API gateway.
  3. Provide a webhook URL to be notified when media is ready, or poll task status.
  4. Retrieve the completed result; failed tasks are not charged.

Who It's For

Kie AI suits developers and technical teams building AI-native applications who need access to multiple generation models without maintaining separate integrations for each provider. It is aimed at teams that value a consistent API pattern, per-model price transparency, and async task handling in production workflows.

Kie AI simplifies multi-model AI access for developers who want one integration, one credit balance, and predictable billing.

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