There is a pure JavaScript way that is not depended on any stacks:

const blobToBase64 = blob => {
  const reader = new FileReader();
  reader.readAsDataURL(blob);
  return new Promise(resolve => {
    reader.onloadend = () => {
      resolve(reader.result);
    };
  });
};

For using this helper function you should set a callback, example:

blobToBase64(blobData).then(res => {
  // do what you wanna do
  console.log(res); // res is base64 now
});

I write this helper function for my problem on React Native project, I wanted to download an image and then store it as a cached image:

fetch(imageAddressAsStringValue)
  .then(res => res.blob())
  .then(blobToBase64)
  .then(finalResult => { 
    storeOnMyLocalDatabase(finalResult);
  });

Here is a more minimal method without any dependencies or libraries.
It requires the new fetch API. (Can I use it?)

var url = "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAUAAAAFCAYAAACNbyblAAAAHElEQVQI12P4//8/w38GIAXDIBKE0DHxgljNBAAO9TXL0Y4OHwAAAABJRU5ErkJggg=="

fetch(url)
.then(res => res.blob())
.then(console.log)

With this method you can also easily get a ReadableStream, ArrayBuffer, text, and JSON.
(fyi this also works with node-fetch in Node)

As a function:

const b64toBlob = (base64, type = 'application/octet-stream') => 
  fetch(`data:${type};base64,${base64}`).then(res => res.blob())

But I would encourage you to don't use base64 in the first place. There are better ways to send and receive binary data. JSON isn't always the best option. it takes up more bandwidth and waste processing time (de)encodeing stuff. Us eg canvas.toBlob instead of canvas.toDataURL and use FormData to send binary files. you can also return back a multipart payload and decode it using await response.formData() that is coming from a server response. FormData can go both ways.

I did a simple performance test towards Jeremy's ES6 sync version.
The sync version will block UI for a while. keeping the devtool open can slow the fetch performance

Show code snippet

document.body.innerHTML += '<input autofocus placeholder="try writing">'
// get some dummy gradient image
var img=function(){var a=document.createElement("canvas"),b=a.getContext("2d"),c=b.createLinearGradient(0,0,1500,1500);a.width=a.height=3000;c.addColorStop(0,"red");c.addColorStop(1,"blue");b.fillStyle=c;b.fillRect(0,0,a.width,a.height);return a.toDataURL()}();


async function perf() {
  
  const blob = await fetch(img).then(res => res.blob())
  // turn it to a dataURI
  const url = img
  const b64Data = url.split(',')[1]

  // Jeremy Banks solution
  const b64toBlob = (b64Data, contentType = '', sliceSize=512) => {
    const byteCharacters = atob(b64Data);
    const byteArrays = [];
    
    for (let offset = 0; offset < byteCharacters.length; offset += sliceSize) {
      const slice = byteCharacters.slice(offset, offset + sliceSize);
      
      const byteNumbers = new Array(slice.length);
      for (let i = 0; i < slice.length; i++) {
        byteNumbers[i] = slice.charCodeAt(i);
      }
      
      const byteArray = new Uint8Array(byteNumbers);
      
      byteArrays.push(byteArray);
    }
    
    const blob = new Blob(byteArrays, {type: contentType});
    return blob;
  }

  // bench blocking method
  let i = 500
  console.time('blocking b64')
  while (i--) {
    await b64toBlob(b64Data)
  }
  console.timeEnd('blocking b64')
  
  // bench non blocking
  i = 500

  // so that the function is not reconstructed each time
  const toBlob = res => res.blob()
  console.time('fetch')
  while (i--) {
    await fetch(url).then(toBlob)
  }
  console.timeEnd('fetch')
  console.log('done')
}

perf()