# PiAPI PiAPI is a unified platform for generating video, images, audio, 3D assets, and LLM outputs through a model catalog, playground, APIs, CLI, and MCP server. It is designed for developers, AI agents, and automation workflows that need access to multiple generative models. - Findings24: - Website: - Pricing: Freemium - Categories: AI Gateway And Routing, AI Inference Platform, AI Model Hubs ## What is PiAPI? PiAPI is a generative AI platform that brings video, image, audio, 3D, and LLM models behind a common interface. Its catalog lists 88 models across six categories, with capabilities including text-to-video, image-to-video, text-to-image, image editing, music generation, text-to-speech, image-to-3D, and chat or research tasks. Users can access models through the PiAPI playground or integrate them into applications with the platform's unified API. The documented workflow centers on task creation and task retrieval, with webhooks available for status updates. The site also provides a CLI, MCP server, and no-code workflow options for developers, AI agents, and automation users. PiAPI supports pay-as-you-go model usage from a credit balance, with rates set by model and version. Subscription plans provide account features and, on some tiers, bonus credits; API usage is billed separately from the subscription plan. ## What can PiAPI do? ### Multi-category model catalog Browse models for video, images, audio, 3D, and LLM tasks from one catalog. Listed task types include text-to-video, image-to-video, text-to-image, image editing, music, text-to-speech, and image-to-3D. ### Unified task API PiAPI's unified API architecture uses task-creation and task-retrieval operations across supported models, reducing the need to learn a separate basic workflow for every model. ### Webhooks and task resources Webhook fields and webhook services support task update notifications. The documentation also covers task responses, output storage, task history, billing, and account information. ### CLI and MCP access The PiAPI CLI lets users run multimodal models from a terminal, list available models, and submit asynchronous tasks. The MCP server exposes models to coding agents and MCP-compatible assistants using structured inputs and results. ### No-code workflow options PiAPI describes connections to Make, n8n, and Zapier through HTTP modules and webhooks, allowing automation workflows to call model APIs without writing an application integration. ### Flexible account and billing tiers The Free, Creator, Pro, and Enterprise plans offer different account features. Enterprise includes higher task concurrency, up to 100 sub-accounts, unified billing, and balance management; model API usage remains separately metered. ## Use Cases ### Prototype a generative feature A developer can use the playground and trial access to test image, video, audio, 3D, or LLM generation before connecting a model to a personal application. ### Build a multimodal application An application can submit generation tasks through the unified API, retrieve task results, and use webhooks for status updates instead of implementing a separate basic integration for each supported model. ### Run model tasks from a development terminal Developers and AI agents can install the PiAPI CLI, select a model, submit synchronous or asynchronous jobs, and receive generated results or task identifiers from command-line workflows. ### Automate content production Teams can place PiAPI calls inside Make, n8n, or Zapier workflows using HTTP modules and webhooks for processes that generate media or text as part of a larger automation. ### Manage model usage across a team Organizations using the Enterprise plan can organize up to 100 sub-accounts, consolidate billing into one invoice, and manage sub-account balances while using the platform's model APIs. ## Frequently Asked Questions ### What types of models are available through PiAPI? PiAPI lists models for video generation, image generation and editing, audio and music, 3D generation, and LLM tasks. The catalog includes tasks such as text-to-video, image-to-video, text-to-image, text-to-speech, image-to-3D, and chat or research. ### How does a typical PiAPI API workflow work? The documented unified workflow uses an API request to create a task and a retrieval request to get its result. Webhooks can be supplied or configured for task updates. The site shows API-key authentication and JSON request parameters in a Python example. ### How is PiAPI usage priced? Model API usage is pay-as-you-go from a PiAPI credit balance, and each model or version has its own rate. Subscription plans provide account features and, on selected tiers, bonus credits; subscription fees and API usage are billed separately. New accounts start with $0.50 in free credits according to the pricing page. ### Can PiAPI be used without building a full application integration? Yes. The playground provides an interactive way to try models, the CLI supports terminal workflows, and the site describes no-code connections to Make, n8n, and Zapier through HTTP modules and webhooks. ### Does PiAPI support team account management? The Enterprise plan includes higher task concurrency, up to 100 sub-accounts, unified billing with a single invoice, and balance management for sub-accounts. The source does not specify broader team permissions or workspace limits. ## Quick Facts - **Product type**: Generative AI model API platform - **Model coverage**: 88 models across video, image, audio, 3D, LLM, and template categories - **Primary users**: Developers, AI agents, and automation workflows - **Access methods**: Playground, unified API, CLI, MCP server, and no-code HTTP workflows - **Billing model**: Pay-as-you-go model usage from a credit balance; subscription plans are separate - **New-account credit**: $0.50 in free credits