In this video, we'll be learning how to handle file uploads in FastAPI using UploadFile. We'll allow users to upload profile pictures by building an image processing utility with Pillow, adding proper validation for file type and size, and saving processed images to disk. We'll also cover important concepts like using run_in_threadpool to handle CPU-bound work in async endpoints, generating secure filenames with UUID, and sending files from the frontend using FormData. By the end of this tutorial, users will be able to upload, preview, and display profile pictures across the application. Let's get started...

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#Python #FastAPI

Corey Schafer

A step-by-step walkthrough of implementing file upload functionality in a FastAPI application, focused on profile picture management. Covers installing and using Pillow for image processing (resize to 300x300, JPEG conversion, EXIF orientation fix), generating UUID-based filenames for security, handling CPU-bound work in async endpoints via Starlette's run_in_threadpool, configuring max upload size via Pydantic settings, building upload and delete endpoints with proper validation, and updating the HTML/JS frontend with image preview and FormData handling. Also addresses a security fix to prevent users from manipulating image file paths via the general update endpoint, and notes on production use of object storage like S3.

Python FastAPI Tutorial (Part 12): File Uploads - Image Processing, Validation, and Storage