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

Publicado em: 27 Fevereiro 2026
no canal de: Corey Schafer
6,525
250

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...

The code from this video can be found here:
https://github.com/CoreyMSchafer/Fast...

Full FastAPI Course:
   • FastAPI Tutorials  

Pathlib Tutorial -    • Python Tutorial: Pathlib - The Modern Way ...  

✅ Support My Channel Through Patreon:
  / coreyms  

✅ Become a Channel Member:
   / @coreyms  

✅ One-Time Contribution Through PayPal:
https://goo.gl/649HFY

✅ Cryptocurrency Donations:
Bitcoin Wallet - 3MPH8oY2EAgbLVy7RBMinwcBntggi7qeG3
Ethereum Wallet - 0x151649418616068fB46C3598083817101d3bCD33
Litecoin Wallet - MPvEBY5fxGkmPQgocfJbxP6EmTo5UUXMot

✅ Corey's Public Amazon Wishlist
http://a.co/inIyro1

✅ Equipment I Use and Books I Recommend:
https://www.amazon.com/shop/coreyschafer

▶️ You Can Find Me On:
My Website - http://coreyms.com/
My Second Channel -    / coreymschafer  
Facebook -   / coreymschafer  
Twitter -   / coreymschafer  
Instagram -   / coreymschafer  

#Python #FastAPI


Nesta página do site você pode assistir ao vídeo on-line Python FastAPI Tutorial (Part 12): File Uploads - Image Processing, Validation, and Storage duração hora minuto segundo em boa qualidade , que foi baixado pelo usuário Corey Schafer 27 Fevereiro 2026, compartilhe o link com seus amigos e conhecidos, no youtube este vídeo já foi visto 6,525 vezes e gostou 250 espectadores. Boa visualização!