How can I configure django-quill-editor to save images in Amazon S3 and store Quill objects with the corresponding S3 URLs for the images?

[B-VAMSHIDHARREDDY]

QUILL_CONFIGS = {

"default": {
    "image_upload_url": "/questions/quill-image-upload/",
    "theme": "snow",
    "modules": {
        'history': {
            'delay': 2000,
            'maxStack': 500,
            'userOnly': True
        },
        "syntax": True,
        "toolbar": [
            [
                {"align": []},
                "bold",
                "italic",
                "underline",
            ],
            ["image"],
            ["clean"],
        ],
        # quill-image-compress
        "imageCompressor": {
            "quality": 0.8,
            "maxWidth": 1000,
            "maxHeight": 1000,
            "imageType": "image/jpeg",
            "keepImageTypes": [],
            "ignoreImageTypes": ["image/webp"],
            "debug": False,
            "suppressErrorLogging": True,
        },

        # quill-resize
        "resize": {
            "showSize": True,
            "locale": {},
        },
    },

},

}

This is my Quill config.

"image_upload_url": "/questions/quill-image-upload/",---- it is not working. Please help me

[sbryukov]

also interested for the solution

[llPekoll]

Django-Quill, will post the image in this format <img src="base64/........." />
i think you can make a parser to parse the result from the Quill input,

• Get all the base64 image in the Quill input (QillField.conent).

• Post the images to your s3 storage.

• Get the values from the S3 storage.

• and change the values of the base64 to the results of the s3 storage
  ex : <img scr="base64/........." /> ==> <img scr="https://s3.my-storage.eu3........." />

  hope it helps

[LeeHanYeong]

Currently, django-quill-editor encodes images as base64 and stores them in the DB.
(This allows you to use files without setting up static files, but it is inefficient.)

There is a way to use a separate storage in the milestone, but it is difficult to devote time to it at the moment. If you are dealing with large files that are difficult to store in the DB, you should use another editor that supports the file-upload function.