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diff --git a/packages/excalidraw/tests/export.test.tsx b/packages/excalidraw/tests/export.test.tsx
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+++ b/packages/excalidraw/tests/export.test.tsx
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+import React from "react";
+import { render, waitFor } from "./test-utils";
+import { Excalidraw } from "../index";
+import { API } from "./helpers/api";
+import { encodePngMetadata } from "../data/image";
+import { serializeAsJSON } from "../data/json";
+import {
+  decodeSvgBase64Payload,
+  encodeSvgBase64Payload,
+  exportToSvg,
+} from "../scene/export";
+import type { FileId } from "../element/types";
+import { getDataURL } from "../data/blob";
+import { getDefaultAppState } from "../appState";
+import { SVG_NS } from "../constants";
+
+const { h } = window;
+
+const testElements = [
+  {
+    ...API.createElement({
+      type: "text",
+      id: "A",
+      text: "😀",
+    }),
+    // can't get jsdom text measurement to work so this is a temp hack
+    // to ensure the element isn't stripped as invisible
+    width: 16,
+    height: 16,
+  },
+];
+
+// tiny polyfill for TextDecoder.decode on which we depend
+Object.defineProperty(window, "TextDecoder", {
+  value: class TextDecoder {
+    decode(ab: ArrayBuffer) {
+      return new Uint8Array(ab).reduce(
+        (acc, c) => acc + String.fromCharCode(c),
+        "",
+      );
+    }
+  },
+});
+
+describe("export", () => {
+  beforeEach(async () => {
+    await render(<Excalidraw />);
+  });
+
+  it("export embedded png and reimport", async () => {
+    const pngBlob = await API.loadFile("./fixtures/smiley.png");
+    const pngBlobEmbedded = await encodePngMetadata({
+      blob: pngBlob,
+      metadata: serializeAsJSON(testElements, h.state, {}, "local"),
+    });
+    await API.drop(pngBlobEmbedded);
+
+    await waitFor(() => {
+      expect(h.elements).toEqual([
+        expect.objectContaining({ type: "text", text: "😀" }),
+      ]);
+    });
+  });
+
+  it("test encoding/decoding scene for SVG export", async () => {
+    const metadataElement = document.createElementNS(SVG_NS, "metadata");
+
+    encodeSvgBase64Payload({
+      metadataElement,
+      payload: serializeAsJSON(testElements, h.state, {}, "local"),
+    });
+
+    const decoded = JSON.parse(
+      decodeSvgBase64Payload({ svg: metadataElement.innerHTML }),
+    );
+    expect(decoded.elements).toEqual([
+      expect.objectContaining({ type: "text", text: "😀" }),
+    ]);
+  });
+
+  it("export svg-embedded scene", async () => {
+    const svg = await exportToSvg(
+      testElements,
+      { ...getDefaultAppState(), exportEmbedScene: true },
+      {},
+    );
+    const svgText = svg.outerHTML;
+
+    expect(svgText).toMatchSnapshot(`svg-embdedded scene export output`);
+  });
+
+  it("import embedded png (legacy v1)", async () => {
+    await API.drop(await API.loadFile("./fixtures/test_embedded_v1.png"));
+    await waitFor(() => {
+      expect(h.elements).toEqual([
+        expect.objectContaining({ type: "text", text: "test" }),
+      ]);
+    });
+  });
+
+  it("import embedded png (v2)", async () => {
+    await API.drop(await API.loadFile("./fixtures/smiley_embedded_v2.png"));
+    await waitFor(() => {
+      expect(h.elements).toEqual([
+        expect.objectContaining({ type: "text", text: "😀" }),
+      ]);
+    });
+  });
+
+  it("import embedded svg (legacy v1)", async () => {
+    await API.drop(await API.loadFile("./fixtures/test_embedded_v1.svg"));
+    await waitFor(() => {
+      expect(h.elements).toEqual([
+        expect.objectContaining({ type: "text", text: "test" }),
+      ]);
+    });
+  });
+
+  it("import embedded svg (v2)", async () => {
+    await API.drop(await API.loadFile("./fixtures/smiley_embedded_v2.svg"));
+    await waitFor(() => {
+      expect(h.elements).toEqual([
+        expect.objectContaining({ type: "text", text: "😀" }),
+      ]);
+    });
+  });
+
+  it("exporting svg containing transformed images", async () => {
+    const normalizeAngle = (angle: number) => (angle / 180) * Math.PI;
+
+    const elements = [
+      API.createElement({
+        type: "image",
+        fileId: "file_A",
+        x: 0,
+        y: 0,
+        scale: [1, 1],
+        width: 100,
+        height: 100,
+        angle: normalizeAngle(315),
+      }),
+      API.createElement({
+        type: "image",
+        fileId: "file_A",
+        x: 100,
+        y: 0,
+        scale: [-1, 1],
+        width: 50,
+        height: 50,
+        angle: normalizeAngle(45),
+      }),
+      API.createElement({
+        type: "image",
+        fileId: "file_A",
+        x: 0,
+        y: 100,
+        scale: [1, -1],
+        width: 100,
+        height: 100,
+        angle: normalizeAngle(45),
+      }),
+      API.createElement({
+        type: "image",
+        fileId: "file_A",
+        x: 100,
+        y: 100,
+        scale: [-1, -1],
+        width: 50,
+        height: 50,
+        angle: normalizeAngle(315),
+      }),
+    ];
+    const appState = { ...getDefaultAppState(), exportBackground: false };
+    const files = {
+      file_A: {
+        id: "file_A" as FileId,
+        dataURL: await getDataURL(await API.loadFile("./fixtures/deer.png")),
+        mimeType: "image/png",
+        created: Date.now(),
+        lastRetrieved: Date.now(),
+      },
+    } as const;
+
+    const svg = await exportToSvg(elements, appState, files);
+
+    const svgText = svg.outerHTML;
+
+    // expect 1 <image> element (deduped)
+    expect(svgText.match(/<image/g)?.length).toBe(1);
+    // expect 4 <use> elements (one for each excalidraw image element)
+    expect(svgText.match(/<use/g)?.length).toBe(4);
+
+    // in case of regressions, save the SVG to a file and visually compare to:
+    // src/tests/fixtures/svg-image-exporting-reference.svg
+    expect(svgText).toMatchSnapshot(`svg export output`);
+  });
+});