我有一个base64编码的二进制数据字符串:

const contentType = 'image/png';
const b64Data = 'iVBORw0KGgoAAAANSUhEUgAAAAUAAAAFCAYAAACNbyblAAAAHElEQVQI12P4//8/w38GIAXDIBKE0DHxgljNBAAO9TXL0Y4OHwAAAABJRU5ErkJggg==';

我想创建一个包含此数据的blob: URL,并将其显示给用户:

const blob = new Blob(????, {type: contentType});
const blobUrl = URL.createObjectURL(blob);

window.location = blobUrl;

我一直没能弄清楚如何创建BLOB。

在某些情况下,我可以通过使用data: URL来避免这种情况:

const dataUrl = `data:${contentType};base64,${b64Data}`;

window.location = dataUrl;

然而,在大多数情况下,数据:url非常大。


我如何解码一个Base64字符串到一个BLOB对象在JavaScript?


当前回答

优化(但可读性较差)实现:

function base64toBlob(base64Data, contentType) {
    contentType = contentType || '';
    var sliceSize = 1024;
    var byteCharacters = atob(base64Data);
    var bytesLength = byteCharacters.length;
    var slicesCount = Math.ceil(bytesLength / sliceSize);
    var byteArrays = new Array(slicesCount);

    for (var sliceIndex = 0; sliceIndex < slicesCount; ++sliceIndex) {
        var begin = sliceIndex * sliceSize;
        var end = Math.min(begin + sliceSize, bytesLength);

        var bytes = new Array(end - begin);
        for (var offset = begin, i = 0; offset < end; ++i, ++offset) {
            bytes[i] = byteCharacters[offset].charCodeAt(0);
        }
        byteArrays[sliceIndex] = new Uint8Array(bytes);
    }
    return new Blob(byteArrays, { type: contentType });
}

其他回答

我注意到,当像Jeremy建议的那样对数据进行切片时,Internet Explorer 11变得异常缓慢。这对于Chrome是正确的,但是Internet Explorer在将切片数据传递给blob -构造函数时似乎有一个问题。在我的机器上,传递5 MB的数据会导致Internet Explorer崩溃,内存消耗也会飙升。Chrome创建blob在任何时间。

运行下面的代码进行比较:

var byteArrays = [],
    megaBytes = 2,
    byteArray = new Uint8Array(megaBytes*1024*1024),
    block,
    blobSlowOnIE, blobFastOnIE,
    i;

for (i = 0; i < (megaBytes*1024); i++) {
    block = new Uint8Array(1024);
    byteArrays.push(block);
}

//debugger;

console.profile("No Slices");
blobSlowOnIE = new Blob(byteArrays, { type: 'text/plain'});
console.profileEnd();

console.profile("Slices");
blobFastOnIE = new Blob([byteArray], { type: 'text/plain'});
console.profileEnd();

所以我决定在一个函数中包含Jeremy描述的两种方法。这都归功于他。

function base64toBlob(base64Data, contentType, sliceSize) {

    var byteCharacters,
        byteArray,
        byteNumbers,
        blobData,
        blob;

    contentType = contentType || '';

    byteCharacters = atob(base64Data);

    // Get BLOB data sliced or not
    blobData = sliceSize ? getBlobDataSliced() : getBlobDataAtOnce();

    blob = new Blob(blobData, { type: contentType });

    return blob;


    /*
     * Get BLOB data in one slice.
     * => Fast in Internet Explorer on new Blob(...)
     */
    function getBlobDataAtOnce() {
        byteNumbers = new Array(byteCharacters.length);

        for (var i = 0; i < byteCharacters.length; i++) {
            byteNumbers[i] = byteCharacters.charCodeAt(i);
        }

        byteArray = new Uint8Array(byteNumbers);

        return [byteArray];
    }

    /*
     * Get BLOB data in multiple slices.
     * => Slow in Internet Explorer on new Blob(...)
     */
    function getBlobDataSliced() {

        var slice,
            byteArrays = [];

        for (var offset = 0; offset < byteCharacters.length; offset += sliceSize) {
            slice = byteCharacters.slice(offset, offset + sliceSize);

            byteNumbers = new Array(slice.length);

            for (var i = 0; i < slice.length; i++) {
                byteNumbers[i] = slice.charCodeAt(i);
            }

            byteArray = new Uint8Array(byteNumbers);

            // Add slice
            byteArrays.push(byteArray);
        }

        return byteArrays;
    }
}

带fetch的方法是最好的解决方案,但如果有人需要使用一个没有fetch的方法,那么这里就是,因为前面提到的那些对我来说不适用:

function makeblob(dataURL) {
    const BASE64_MARKER = ';base64,';
    const parts = dataURL.split(BASE64_MARKER);
    const contentType = parts[0].split(':')[1];
    const raw = window.atob(parts[1]);
    const rawLength = raw.length;
    const uInt8Array = new Uint8Array(rawLength);

    for (let i = 0; i < rawLength; ++i) {
        uInt8Array[i] = raw.charCodeAt(i);
    }

    return new Blob([uInt8Array], { type: contentType });
}

在浏览器中

Uint8Array.from(atob(YOUR_BASE64_DATA), (c) => c.charCodeAt(0))

与fetch比较

!(async () => {
  const start = performance.now();
  let i = 0;
  while (i++ < 1e3) {
    const dataUrl =
      "data:application/octet-stream;base64,H4sIAAAAAAAAA0vOzyvOz0nVy8lP10jISM3JyVdIr8osUFCpdkksSdXLyy/X0KxN0ORKHlU3qm5U3ai6UXWj6kauOgBVt1KRLwcAAA==";
    body = await (await fetch(dataUrl)).blob();
  }
  console.log(performance.now() - start); // 508.19999999925494ms
})();
!(async () => {
  const start = performance.now();
  let i = 0;
  while (i++ < 1e3) {
    const base64Data =
      "H4sIAAAAAAAAA0vOzyvOz0nVy8lP10jISM3JyVdIr8osUFCpdkksSdXLyy/X0KxN0ORKHlU3qm5U3ai6UXWj6kauOgBVt1KRLwcAAA==";
    body = Uint8Array.from(atob(base64Data), (c) => c.charCodeAt(0));
  }
  console.log(performance.now() - start); // 7.899999998509884ms
})();

根据您的数据大小,选择性能一种。

请看这个例子:https://jsfiddle.net/pqhdce2L/

function b64toBlob(b64Data, contentType, sliceSize) { contentType = contentType || ''; sliceSize = sliceSize || 512; var byteCharacters = atob(b64Data); var byteArrays = []; for (var offset = 0; offset < byteCharacters.length; offset += sliceSize) { var slice = byteCharacters.slice(offset, offset + sliceSize); var byteNumbers = new Array(slice.length); for (var i = 0; i < slice.length; i++) { byteNumbers[i] = slice.charCodeAt(i); } var byteArray = new Uint8Array(byteNumbers); byteArrays.push(byteArray); } var blob = new Blob(byteArrays, {type: contentType}); return blob; } var contentType = 'image/png'; var b64Data = Your Base64 encode; var blob = b64toBlob(b64Data, contentType); var blobUrl = URL.createObjectURL(blob); var img = document.createElement('img'); img.src = blobUrl; document.body.appendChild(img);

atob函数将base64编码的字符串解码为一个新的字符串,每个字节对应一个字符。

const byteCharacters = atob(b64Data);

每个字符的编码点(charCode)将是字节的值。我们可以为字符串中的每个字符使用. charcodeat方法来创建一个字节值数组。

const byteNumbers = new Array(byteCharacters.length);
for (let i = 0; i < byteCharacters.length; i++) {
    byteNumbers[i] = byteCharacters.charCodeAt(i);
}

你可以通过传递给Uint8Array构造函数,将这个字节值数组转换为一个真正类型的字节数组。

const byteArray = new Uint8Array(byteNumbers);

通过将其包装在数组中并将其传递给BLOB构造函数,可以将其转换为BLOB。

const blob = new Blob([byteArray], {type: contentType});

上面的代码可以工作。但是,通过将bytecharacter分块处理,而不是一次性处理,可以稍微提高性能。在我的粗略测试中,512字节似乎是一个很好的切片大小。这就得到了下面的函数。

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;
}
const blob = b64toBlob(b64Data, contentType);
const blobUrl = URL.createObjectURL(blob);

window.location = blobUrl;

完整的例子:

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; } const contentType = 'image/png'; const b64Data = 'iVBORw0KGgoAAAANSUhEUgAAAAUAAAAFCAYAAACNbyblAAAAHElEQVQI12P4//8/w38GIAXDIBKE0DHxgljNBAAO9TXL0Y4OHwAAAABJRU5ErkJggg=='; const blob = b64toBlob(b64Data, contentType); const blobUrl = URL.createObjectURL(blob); const img = document.createElement('img'); img.src = blobUrl; document.body.appendChild(img);