FastAPI is a modern Python web framework for building fast APIs with automatic documentation and data validation. It is based on Python type hints and is among the fastest Python frameworks.

How does Motran use FastAPI?

Motran builds AI service APIs and microservices with FastAPI. We expose ML models via validated REST endpoints with automatic documentation, and build streaming endpoints for real-time AI responses.

Which sectors benefit from FastAPI?

FastAPI is valuable for every sector needing custom AI APIs. It is the standard for building scalable AI backends in the technology sector and for enterprises wanting to expose AI services internally.

FastAPI.

Frameworks & Languages

Modern, fast Python web framework for building APIs. Automatic documentation and type validation.

By Tiangolo

About

What is FastAPI?

FastAPI is a modern, fast Python web framework for building APIs, based on standard Python type hints. It automatically generates interactive API documentation, offers built-in data validation, and is one of the fastest Python frameworks available. FastAPI is the standard choice for building AI service APIs.

Our approach

How Motran uses FastAPI.

Motran builds production APIs with FastAPI that expose AI models and data services. We create RESTful endpoints for calling ML models, processing documents, and streaming AI responses. FastAPI's automatic documentation and type validation accelerate development and reduce bugs.

Use cases

How FastAPI adds value.

REST APIs for AI services

REST APIs for AI services: AI models are exposed via well-documented, validated REST endpoints with automatic OpenAPI specification.

Microservices

Microservices: decoupled services for specific tasks like document processing, embeddings generation, and model inference.

Real-time data endpoints

Real-time data endpoints: WebSocket and Server-Sent Events endpoints for streaming AI responses and real-time data updates.

Benefits

Sector benefits.

FastAPI is essential for every sector with custom development needs for AI services. Technology companies build scalable AI platforms with it, the financial sector uses it for real-time data APIs, and enterprises across all sectors benefit from fast, well-documented APIs for internal AI services.