How to upload images with TipTap editor

readme.md

1. Create a file Image.js from the source below (it is almost a copy of Image.js from tiptap-extensions except that it has a constructor that accepts uploadFunc (function to be called with image being uploaded) and additional logic if(upload) { ... } else { ... previous base64 logic .. } in the new Plugin section.

import {Node, Plugin} from 'tiptap'
import {nodeInputRule} from 'tiptap-commands'

/**
 * Matches following attributes in Markdown-typed image: [, alt, src, title]
 *
 * Example:
 * ![Lorem](image.jpg) -> [, "Lorem", "image.jpg"]
 * ![](image.jpg "Ipsum") -> [, "", "image.jpg", "Ipsum"]
 * ![Lorem](image.jpg "Ipsum") -> [, "Lorem", "image.jpg", "Ipsum"]
 */
const IMAGE_INPUT_REGEX = /!\[(.+|:?)\]\((\S+)(?:(?:\s+)["'](\S+)["'])?\)/;

export default class Image extends Node {

    constructor(name, parent, uploadFunc = null) {
        super(name, parent);
        this.uploadFunc = uploadFunc;
    }

    get name() {
        return 'image'
    }

    get schema() {
        return {
            inline: true,
            attrs: {
                src: {},
                alt: {
                    default: null,
                },
                title: {
                    default: null,
                },
            },
            group: 'inline',
            draggable: true,
            parseDOM: [
                {
                    tag: 'img[src]',
                    getAttrs: dom => ({
                        src: dom.getAttribute('src'),
                        title: dom.getAttribute('title'),
                        alt: dom.getAttribute('alt'),
                    }),
                },
            ],
            toDOM: node => ['img', node.attrs],
        }
    }

    commands({ type }) {
        return attrs => (state, dispatch) => {
            const { selection } = state;
            const position = selection.$cursor ? selection.$cursor.pos : selection.$to.pos;
            const node = type.create(attrs);
            const transaction = state.tr.insert(position, node);
            dispatch(transaction)
        }
    }

    inputRules({ type }) {
        return [
            nodeInputRule(IMAGE_INPUT_REGEX, type, match => {
                const [, alt, src, title] = match;
                return {
                    src,
                    alt,
                    title,
                }
            }),
        ]
    }

    get plugins() {
        const upload = this.uploadFunc;
        return [
            new Plugin({
                props: {
                    handleDOMEvents: {
                        drop(view, event) {
                            const hasFiles = event.dataTransfer
                                && event.dataTransfer.files
                                && event.dataTransfer.files.length;

                            if (!hasFiles) {
                                return
                            }

                            const images = Array
                                .from(event.dataTransfer.files)
                                .filter(file => (/image/i).test(file.type));

                            if (images.length === 0) {
                                return
                            }

                            event.preventDefault();

                            const { schema } = view.state;
                            const coordinates = view.posAtCoords({ left: event.clientX, top: event.clientY });

                            images.forEach(async image => {
                                const reader = new FileReader();

                                if(upload) {
                                    const node = schema.nodes.image.create({
                                        src: await upload(image),
                                    });
                                    const transaction = view.state.tr.insert(coordinates.pos, node);
                                    view.dispatch(transaction)
                                } else {
                                    reader.onload = readerEvent => {
                                        const node = schema.nodes.image.create({
                                            src: readerEvent.target.result,
                                        });
                                        const transaction = view.state.tr.insert(coordinates.pos, node);
                                        view.dispatch(transaction)
                                    };
                                    reader.readAsDataURL(image)
                                }
                            })
                        },
                    },
                },
            }),
        ]
    }

}

2. Import it:

import Image from './Image';

async function upload(file) {
...
}

new Editor({
  extensions: [
    ...
    new Image(null, null, upload),
    ...

3. Implement the upload function:

async function upload(file) {
  let formData = new FormData();
  formData.append('file', file);
  const headers = {'Content-Type': 'multipart/form-data'};
  const response = await axios.post('/upload', formData, {headers: headers} );
  return response.data.src;
},

This POSTs using axios to /upload and expects a JSON back of this form:

{"src": "https://yoursite.com/images/uploadedimage.jpg"}

5. Implement server-side logic for /upload

6. If you want to support pasting of images, modify Image.js starting at props:, ending at handleDOMEvents (re-factor common parts if you want to)

props: {
    handlePaste(view, event, slice) {
        const items = (event.clipboardData  || event.originalEvent.clipboardData).items;
        for (const item of items) {
            if (item.type.indexOf("image") === 0) {
                event.preventDefault();
                const { schema } = view.state;

                const image = item.getAsFile();

                if(upload) {
                    upload(image).then(src => {
                        const node = schema.nodes.image.create({
                            src: src,
                        });
                        const transaction = view.state.tr.replaceSelectionWith(node);
                        view.dispatch(transaction)
                    });

                } else {
                    const reader = new FileReader();
                    reader.onload = readerEvent => {
                        const node = schema.nodes.image.create({
                            src: readerEvent.target.result,
                        });
                        const transaction = view.state.tr.replaceSelectionWith(node);
                        view.dispatch(transaction)
                    };
                    reader.readAsDataURL(image)
                }

            }
        }
        return false;
    },
    handleDOMEvents: {

I found solution: don't use - handlePaste you need that -

This saved my day! Thanks @HZ-labs

Has anyone ported this over to TipTap 2.0 code?

Yeah! I've gotten it to work with TipTap 2.0 using the following (and typescript):

import { Node, nodeInputRule } from '@tiptap/core';
import { dropImagePlugin, UploadFn } from './drop_image';

/**
 * Matches following attributes in Markdown-typed image: [, alt, src, title]
 *
 * Example:
 * ![Lorem](image.jpg) -> [, "Lorem", "image.jpg"]
 * ![](image.jpg "Ipsum") -> [, "", "image.jpg", "Ipsum"]
 * ![Lorem](image.jpg "Ipsum") -> [, "Lorem", "image.jpg", "Ipsum"]
 */
const IMAGE_INPUT_REGEX = /!\[(.+|:?)\]\((\S+)(?:(?:\s+)["'](\S+)["'])?\)/;

export const createImageExtension = (uploadFn: UploadFn) => {
  return Node.create({
    name: 'image',
    inline: true,
    group: 'inline',
    draggable: true,
    addAttributes: () => ({
      src: {},
      alt: { default: null },
      title: { default: null },
    }),
    parseHTML: () => [
      {
        tag: 'img[src]',
        getAttrs: (dom) => {
          if (typeof dom === 'string') return {};
          const element = dom as HTMLImageElement;

          return {
            src: element.getAttribute('src'),
            title: element.getAttribute('title'),
            alt: element.getAttribute('alt'),
          };
        },
      },
    ],
    renderHTML: ({ HTMLAttributes }) => ['img', HTMLAttributes],

    // @ts-ignore
    addCommands() {
      return (attrs) => (state, dispatch) => {
        const { selection } = state;
        const position = selection.$cursor
          ? selection.$cursor.pos
          : selection.$to.pos;
        const node = this.type.create(attrs);
        const transaction = state.tr.insert(position, node);
        dispatch(transaction);
      };
    },
    addInputRules() {
      return [
        nodeInputRule(IMAGE_INPUT_REGEX, this.type, (match) => {
          const [, alt, src, title] = match;
          return {
            src,
            alt,
            title,
          };
        }),
      ];
    },
    addProseMirrorPlugins() {
      return [dropImagePlugin(uploadFn)];
    },
  });
};

import { Plugin, PluginKey } from 'prosemirror-state';

export type UploadFn = (image: File) => Promise<string>;

export const dropImagePlugin = (upload: UploadFn) => {
  return new Plugin({
    props: {
      handlePaste(view, event, slice) {
        const items = Array.from(event.clipboardData?.items || []);
        const { schema } = view.state;

        items.forEach((item) => {
          const image = item.getAsFile();

          if (item.type.indexOf('image') === 0) {
            event.preventDefault();

            if (upload && image) {
              upload(image).then((src) => {
                const node = schema.nodes.image.create({
                  src: src,
                });
                const transaction = view.state.tr.replaceSelectionWith(node);
                view.dispatch(transaction);
              });
            }
          } else {
            const reader = new FileReader();
            reader.onload = (readerEvent) => {
              const node = schema.nodes.image.create({
                src: readerEvent.target?.result,
              });
              const transaction = view.state.tr.replaceSelectionWith(node);
              view.dispatch(transaction);
            };
            if (!image) return;
            reader.readAsDataURL(image);
          }
        });

        return false;
      },
      handleDOMEvents: {
        drop: (view, event) => {
          const hasFiles =
            event.dataTransfer &&
            event.dataTransfer.files &&
            event.dataTransfer.files.length;

          if (!hasFiles) {
            return false;
          }

          const images = Array.from(
            event.dataTransfer?.files ?? []
          ).filter((file) => /image/i.test(file.type));

          if (images.length === 0) {
            return false;
          }

          event.preventDefault();

          const { schema } = view.state;
          const coordinates = view.posAtCoords({
            left: event.clientX,
            top: event.clientY,
          });
          if (!coordinates) return false;

          images.forEach(async (image) => {
            const reader = new FileReader();

            if (upload) {
              const node = schema.nodes.image.create({
                src: await upload(image),
              });
              const transaction = view.state.tr.insert(coordinates.pos, node);
              view.dispatch(transaction);
            } else {
              reader.onload = (readerEvent) => {
                const node = schema.nodes.image.create({
                  src: readerEvent.target?.result,
                });
                const transaction = view.state.tr.insert(coordinates.pos, node);
                view.dispatch(transaction);
              };
              reader.readAsDataURL(image);
            }
          });

          return true;
        },
      },
    },
  });
};

How do you use it on the editor? is it needs to be added to the editor extensions?

Heres a full extension that has the following features

1. Uses data url immediately to render the image while uploading for faster UX
2. Uploads the image to your API in the background via custom react component
3. Swaps the data-url image for your uploaded URL once its ready

I will be refining this and adding a tonne of features to it like resizing and cropping, will release as open source when its ready

import { useFilesControllerUpload } from '@templi/sdk';
import { mergeAttributes, Node } from '@tiptap/core';
import { Plugin, PluginKey } from '@tiptap/pm/state';
import { NodeViewWrapper, ReactNodeViewRenderer } from '@tiptap/react';
import { useEffect, useState } from 'react';

export interface ImageOptions {
  HTMLAttributes: Record<string, any>;
}

const blobToBase64 = async (blob: Blob): Promise<string> => {
  return await new Promise((resolve, reject) => {
    const reader = new FileReader();
    reader.readAsDataURL(blob);
    reader.onload = () => resolve(reader.result);
    reader.onerror = (error) => reject(error);
  });
};
declare module '@tiptap/core' {
  interface Commands<ReturnType> {
    image: {
      /**
       * Add an image
       */
      setImage: (options: {
        src?: string;
        alt?: string;
        title?: string;
      }) => ReturnType;
    };
  }
}

type ImageComponentProps = {
  node: {
    attrs: {
      src: string;
    };
  };
};
function ImageComponent(props: ImageComponentProps) {
  const { node } = props;

  // swap this for your API file upload code
  const { mutateAsync: upload, submittedAt } = useFilesControllerUpload();

  const [src, setSrc] = useState<string | undefined>(node?.attrs?.src);

  useEffect(() => {
    if (node.attrs.src.startsWith('data:') && !submittedAt) {
      async function uploadImage() {
        const formData = new FormData();
        const base64 = node.attrs.src.split(',')[1];
        const file = window.atob(base64);

        formData.set(
          'file',
          new Blob([file], { type: 'image/png' }),
          'image.png'
        );

        const uploadedFile = await upload({
          body: formData,
          headers: {
            'Content-Type': 'multipart/form-data',
          },
        });

        if (!uploadedFile) return;
        setSrc(uploadedFile.url);
      }

      uploadImage();
    }
  }, [node.attrs.src]);

  return (
    <NodeViewWrapper className="w-full">
      <img src={src} className="w-full" />
    </NodeViewWrapper>
  );
}

export const Image = Node.create<ImageOptions>({
  name: 'image',

  addOptions() {
    return {
      inline: false,
      allowBase64: false,
      HTMLAttributes: {},
    };
  },

  inline: false,
  group: 'block',

  draggable: true,

  addAttributes() {
    return {
      src: {
        default: null,
      },
      alt: {
        default: null,
      },
      title: {
        default: null,
      },
    };
  },

  parseHTML() {
    return [
      {
        tag: 'img[src]:not([src^="data:"])',
      },
    ];
  },

  renderHTML({ HTMLAttributes }) {
    return [
      'img',
      mergeAttributes(this.options.HTMLAttributes, HTMLAttributes),
    ];
  },

  addNodeView() {
    return ReactNodeViewRenderer(ImageComponent);
  },

  addCommands() {
    return {
      setImage:
        (options) =>
          ({ commands }) => {
            return commands.insertContent({
              type: this.name,
              attrs: options,
            });
          },
    };
  },

  addProseMirrorPlugins() {
    return [
      new Plugin({
        key: new PluginKey('imageDrop'),
        props: {
          handleDOMEvents: {
            drop: async (view, event) => {
              if (event?.dataTransfer?.files) {
                const files = event.dataTransfer.files;
                const file = files.item(0);

                if (file && file.type.includes('image')) {
                  const dataUrl = await blobToBase64(file);
                  return this.editor.chain().setImage({ src: dataUrl }).run();
                }
              }
              return false;
            },
          },
        },
      }),
    ];
  },
});

@dan-cooke That's great, but I would like to ask if there is a vue version, thanks

@dan-cooke thanks for the snippet, happy to help with the extension if needed

Heres a full extension that has the following features

1. Uses data url immediately to render the image while uploading for faster UX
2. Uploads the image to your API in the background via custom react component
3. Swaps the data-url image for your uploaded URL once its ready

I will be refining this and adding a tonne of features to it like resizing and cropping, will release as open source when its ready

import { useFilesControllerUpload } from '@templi/sdk';
import { mergeAttributes, Node } from '@tiptap/core';
import { Plugin, PluginKey } from '@tiptap/pm/state';
import { NodeViewWrapper, ReactNodeViewRenderer } from '@tiptap/react';
import { useEffect, useState } from 'react';

export interface ImageOptions {
  HTMLAttributes: Record<string, any>;
}

const blobToBase64 = async (blob: Blob): Promise<string> => {
  return await new Promise((resolve, reject) => {
    const reader = new FileReader();
    reader.readAsDataURL(blob);
    reader.onload = () => resolve(reader.result);
    reader.onerror = (error) => reject(error);
  });
};
declare module '@tiptap/core' {
  interface Commands<ReturnType> {
    image: {
      /**
       * Add an image
       */
      setImage: (options: {
        src?: string;
        alt?: string;
        title?: string;
      }) => ReturnType;
    };
  }
}

type ImageComponentProps = {
  node: {
    attrs: {
      src: string;
    };
  };
};
function ImageComponent(props: ImageComponentProps) {
  const { node } = props;

  // swap this for your API file upload code
  const { mutateAsync: upload, submittedAt } = useFilesControllerUpload();

  const [src, setSrc] = useState<string | undefined>(node?.attrs?.src);

  useEffect(() => {
    if (node.attrs.src.startsWith('data:') && !submittedAt) {
      async function uploadImage() {
        const formData = new FormData();
        const base64 = node.attrs.src.split(',')[1];
        const file = window.atob(base64);

        formData.set(
          'file',
          new Blob([file], { type: 'image/png' }),
          'image.png'
        );

        const uploadedFile = await upload({
          body: formData,
          headers: {
            'Content-Type': 'multipart/form-data',
          },
        });

        if (!uploadedFile) return;
        setSrc(uploadedFile.url);
      }

      uploadImage();
    }
  }, [node.attrs.src]);

  return (
    <NodeViewWrapper className="w-full">
      <img src={src} className="w-full" />
    </NodeViewWrapper>
  );
}

export const Image = Node.create<ImageOptions>({
  name: 'image',

  addOptions() {
    return {
      inline: false,
      allowBase64: false,
      HTMLAttributes: {},
    };
  },

  inline: false,
  group: 'block',

  draggable: true,

  addAttributes() {
    return {
      src: {
        default: null,
      },
      alt: {
        default: null,
      },
      title: {
        default: null,
      },
    };
  },

  parseHTML() {
    return [
      {
        tag: 'img[src]:not([src^="data:"])',
      },
    ];
  },

  renderHTML({ HTMLAttributes }) {
    return [
      'img',
      mergeAttributes(this.options.HTMLAttributes, HTMLAttributes),
    ];
  },

  addNodeView() {
    return ReactNodeViewRenderer(ImageComponent);
  },

  addCommands() {
    return {
      setImage:
        (options) =>
          ({ commands }) => {
            return commands.insertContent({
              type: this.name,
              attrs: options,
            });
          },
    };
  },

  addProseMirrorPlugins() {
    return [
      new Plugin({
        key: new PluginKey('imageDrop'),
        props: {
          handleDOMEvents: {
            drop: async (view, event) => {
              if (event?.dataTransfer?.files) {
                const files = event.dataTransfer.files;
                const file = files.item(0);

                if (file && file.type.includes('image')) {
                  const dataUrl = await blobToBase64(file);
                  return this.editor.chain().setImage({ src: dataUrl }).run();
                }
              }
              return false;
            },
          },
        },
      }),
    ];
  },
});

thank you so much man!

Heres a full extension that has the following features

1. Uses data url immediately to render the image while uploading for faster UX
2. Uploads the image to your API in the background via custom react component
3. Swaps the data-url image for your uploaded URL once its ready

I will be refining this and adding a tonne of features to it like resizing and cropping, will release as open source when its ready

import { useFilesControllerUpload } from '@templi/sdk';
import { mergeAttributes, Node } from '@tiptap/core';
import { Plugin, PluginKey } from '@tiptap/pm/state';
import { NodeViewWrapper, ReactNodeViewRenderer } from '@tiptap/react';
import { useEffect, useState } from 'react';

export interface ImageOptions {
  HTMLAttributes: Record<string, any>;
}

const blobToBase64 = async (blob: Blob): Promise<string> => {
  return await new Promise((resolve, reject) => {
    const reader = new FileReader();
    reader.readAsDataURL(blob);
    reader.onload = () => resolve(reader.result);
    reader.onerror = (error) => reject(error);
  });
};
declare module '@tiptap/core' {
  interface Commands<ReturnType> {
    image: {
      /**
       * Add an image
       */
      setImage: (options: {
        src?: string;
        alt?: string;
        title?: string;
      }) => ReturnType;
    };
  }
}

type ImageComponentProps = {
  node: {
    attrs: {
      src: string;
    };
  };
};
function ImageComponent(props: ImageComponentProps) {
  const { node } = props;

  // swap this for your API file upload code
  const { mutateAsync: upload, submittedAt } = useFilesControllerUpload();

  const [src, setSrc] = useState<string | undefined>(node?.attrs?.src);

  useEffect(() => {
    if (node.attrs.src.startsWith('data:') && !submittedAt) {
      async function uploadImage() {
        const formData = new FormData();
        const base64 = node.attrs.src.split(',')[1];
        const file = window.atob(base64);

        formData.set(
          'file',
          new Blob([file], { type: 'image/png' }),
          'image.png'
        );

        const uploadedFile = await upload({
          body: formData,
          headers: {
            'Content-Type': 'multipart/form-data',
          },
        });

        if (!uploadedFile) return;
        setSrc(uploadedFile.url);
      }

      uploadImage();
    }
  }, [node.attrs.src]);

  return (
    <NodeViewWrapper className="w-full">
      <img src={src} className="w-full" />
    </NodeViewWrapper>
  );
}

export const Image = Node.create<ImageOptions>({
  name: 'image',

  addOptions() {
    return {
      inline: false,
      allowBase64: false,
      HTMLAttributes: {},
    };
  },

  inline: false,
  group: 'block',

  draggable: true,

  addAttributes() {
    return {
      src: {
        default: null,
      },
      alt: {
        default: null,
      },
      title: {
        default: null,
      },
    };
  },

  parseHTML() {
    return [
      {
        tag: 'img[src]:not([src^="data:"])',
      },
    ];
  },

  renderHTML({ HTMLAttributes }) {
    return [
      'img',
      mergeAttributes(this.options.HTMLAttributes, HTMLAttributes),
    ];
  },

  addNodeView() {
    return ReactNodeViewRenderer(ImageComponent);
  },

  addCommands() {
    return {
      setImage:
        (options) =>
          ({ commands }) => {
            return commands.insertContent({
              type: this.name,
              attrs: options,
            });
          },
    };
  },

  addProseMirrorPlugins() {
    return [
      new Plugin({
        key: new PluginKey('imageDrop'),
        props: {
          handleDOMEvents: {
            drop: async (view, event) => {
              if (event?.dataTransfer?.files) {
                const files = event.dataTransfer.files;
                const file = files.item(0);

                if (file && file.type.includes('image')) {
                  const dataUrl = await blobToBase64(file);
                  return this.editor.chain().setImage({ src: dataUrl }).run();
                }
              }
              return false;
            },
          },
        },
      }),
    ];
  },
});

What is @templi/sdk? Wheren I can get it? I tried installing using yarn add @templi/sdk but it's saying package not found.

@lokeshfitsys that is a private package, you replace the file upload code with your own file upload code.

Hence the comment i left

// swap this for your API file upload code
const { mutateAsync: upload, submittedAt } = useFilesControllerUpload();

You can't expect to just copy and paste this and have file uploads working with your infrastrcuture 😆

@lokeshfitsys that is a private package, you replace the file upload code with your own file upload code.

Hence the comment i left

// swap this for your API file upload code
const { mutateAsync: upload, submittedAt } = useFilesControllerUpload();

You can't expect to just copy and paste this and have file uploads working with your infrastrcuture 😆

Got it, I am newbie to react. Thank you so much for the clarification. 👍 😁

@dan-cooke

I have modified few things on the code. For my situation I can use base64 directly on the editor without moving to server and I have added button for select image and added resize image option.

I would appreciate your feedback!

/* eslint-disable @next/next/no-img-element */
import { useEffect, useRef, useState } from 'react'

import { mergeAttributes, Node } from '@tiptap/core'
import { Plugin, PluginKey } from '@tiptap/pm/state'
import { NodeViewWrapper, ReactNodeViewRenderer } from '@tiptap/react'
import { Resizable } from 're-resizable'

import CustomIconButton from '@/@core/components/mui/IconButton'

export interface ImageOptions {
  HTMLAttributes: Record<string, any>
}

export const blobToBase64 = async (blob: Blob): Promise<string> => {
  return await new Promise((resolve, reject) => {
    const reader = new FileReader()

    reader.readAsDataURL(blob)
    reader.onload = () => resolve(reader.result as string)
    reader.onerror = error => reject(error)
  })
}

declare module '@tiptap/core' {
  interface Commands<ReturnType> {
    image: {
      setImage: (options: { src: string; alt?: string; title?: string; width?: string | undefined }) => ReturnType
    }
  }
}

type ImageComponentProps = {
  node: {
    attrs: {
      src: string
      alt?: string
      title?: string
      width?: string
    }
  }
  updateAttributes: (attrs: any) => void
}

function ImageComponent(props: ImageComponentProps) {
  const { node, updateAttributes } = props
  const [src, setSrc] = useState<string | undefined>(node?.attrs?.src)
  const [width, setWidth] = useState(node.attrs.width || '100%')

  useEffect(() => {
    if (node.attrs.src.startsWith('data:')) {
      setSrc(node.attrs.src)
    } else {
      async function convertImageToBase64() {
        const response = await fetch(node.attrs.src)
        const blob = await response.blob()
        const reader = new FileReader()

        reader.readAsDataURL(blob)

        reader.onloadend = () => {
          setSrc(reader.result as string)
        }
      }

      if (node.attrs.src) {
        convertImageToBase64()
      }
    }
  }, [node.attrs.src])

  const handleResize = (_e: any, _direction: any, ref: any) => {
    const newWidth = ref.style.width

    setWidth(newWidth)
    updateAttributes({ width: newWidth })
  }

  return (
    <NodeViewWrapper className='w-full'>
      <Resizable size={{ width }} onResizeStop={handleResize} style={{ display: 'inline-block' }}>
        <img src={src} style={{ width }} alt={node.attrs.alt || 'image'} />
      </Resizable>
    </NodeViewWrapper>
  )
}

export const Image = Node.create<ImageOptions>({
  name: 'image',

  addOptions() {
    return {
      inline: false,
      allowBase64: false,
      HTMLAttributes: {}
    }
  },

  inline: false,
  group: 'block',
  draggable: true,

  addAttributes() {
    return {
      src: { default: null },
      alt: { default: null },
      title: { default: null },
      width: { default: '100%' }
    }
  },

  parseHTML() {
    return [{ tag: 'img[src]:not([src^="data:"])' }]
  },

  renderHTML({ HTMLAttributes }) {
    return ['img', mergeAttributes(this.options.HTMLAttributes, HTMLAttributes)]
  },

  addNodeView() {
    return ReactNodeViewRenderer(ImageComponent)
  },

  addCommands() {
    return {
      setImage:
        options =>
        ({ commands }) => {
          return commands.insertContent({
            type: this.name,
            attrs: options
          })
        }
    }
  },

  addProseMirrorPlugins() {
    return [
      new Plugin({
        key: new PluginKey('imageDrop'),
        props: {
          handleDOMEvents: {
            drop: (_view, event) => {
              if (event?.dataTransfer?.files) {
                const files = event.dataTransfer.files
                const file = files.item(0)

                if (file && file.type.includes('image')) {
                  const handleDrop = async () => {
                    const dataUrl = await blobToBase64(file)

                    this.editor.chain().setImage({ src: dataUrl }).run()
                  }

                  handleDrop()

                  return true
                }
              }

              return false
            }
          }
        }
      })
    ]
  }
})

// Usage example for manual upload
export const ManualImageUpload = ({ editor }: { editor: any }) => {
  const fileInputRef = useRef<HTMLInputElement>(null)

  const handleImageUpload = async (event: any) => {
    const file = event.target.files[0]

    if (file && file.type.includes('image')) {
      const base64 = await blobToBase64(file)

      editor.chain().setImage({ src: base64 }).run()
    }
  }

  return (
    <>
      <input type='file' accept='image/*' ref={fileInputRef} style={{ display: 'none' }} onChange={handleImageUpload} />
      <CustomIconButton
        variant='text'
        title='Upload Image'
        size='small'
        color='secondary'
        onClick={() => fileInputRef.current?.click()}
      >
        <i className='ri-image-add-line'></i>
      </CustomIconButton>
    </>
  )
}

I'll just leave this here, in case anyone needs it:

https://github.com/Aslam97/shadcn-minimal-tiptap

implementation:

Image.configure({
  allowedMimeTypes: ['image/jpeg', 'image/png', 'image/gif'],
  maxFileSize: 5 * 1024 * 1024, // 5MB
  uploadFn: myCustomUploadFunction,
  onActionSuccess: handleActionSuccess,
  onActionError: handleActionError,
  onValidationError: handleValidationError
})

@Aslam97 Oh, nice. If shadcn-minimal-tiptap had existed 7 months ago, I probably would've just used it instead of making my own!

How tightly coupled is your image/file handling implementation to the rest of your shadcn-minimal-tiptap project? Could it be added as an extension to an existing TipTap implementation?