Received & return a file from in-memory buffer using FastAPI

FastAPI is fast becoming the go-to choice to write APIs using Python mostly due to its asynchronous nature.

FastAPI by default will use JSONResponse method to return responses, however, it has the ability to return several custom responses including HTMLResponse and FileResponse. However, both of these messages returns files that are saved on the disk and requires a PATH.

E.g. from FastAPI Documentation,

from fastapi import FastAPI
from fastapi.responses import FileResponse

file_path = "sample-file.mp4"
app = FastAPI()

@app.get("/", response_class=FileResponse)
async def main():
    return file_path

So what if you wanted to send a file that is currently in the memory buffer, directly without the additional step of saving it on the disk?

Why simply using StreamingResponse is not enough?

The right way of sending a file from memory is by using StreamingResponse, but StreamingResponse requires an iterator object, e.g.

from fastapi import FastAPI
from fastapi.responses import StreamingResponse

some_file_path = "large-video-file.mp4"
app = FastAPI()

def main():
    def iterfile():  
        with open(some_file_path, mode="rb") as file_like:  
            yield from file_like  

    return StreamingResponse(iterfile(), media_type="video/mp4")

But in reality the files e.g. images, etc. that you work with will rarely be an iterator object. Thus you are swapping one workaround with another workaround.

Using StreamingResponse correctly

Instead what we will do is, 1. Receive the image directly in memory 2. Apply a blur PIL filter to the image method to the image 3. Return the image directly without saving

from fastapi import FastAPI, File, UploadFile
from fastapi.responses import StreamingResponse
from io import BytesIO

app = FastAPI()"/")
def image_filter(img: UploadFile = File(...)):
    original_image =
    original_image = original_image.filter(ImageFilter.BLUR)

    filtered_image = BytesIO(), "JPEG")

    return StreamingResponse(filtered_image, media_type="image/jpeg")

Testing the API

Save the above code in a file named

You need to install the following libraries for this to work

pip install fastapi
pip install "uvicorn[standard]"
pip install Pillow
pip install python-multipart

Then fire up the FastAPI app by running

uvicorn app:app --reload

This should start the app on as shown below

Uvicorn run

Open the swaggerUI using any browser by openign the link, then click on try it out, then choose a image from and press Execute.

Swagger UI After that if you scroll below you should see a blurred image.

An example of before and after is shown below, (but really this is just an excuse to show you a cat pic) Blurred Cat

Need Help? Open a discussion thread on GitHub.