vercel-blob

name	vercel-blob
description	Integrate Vercel Blob object storage for file uploads, image management, and CDN-delivered assets in Next.js applications. Supports client-side uploads with presigned URLs and multipart transfers. Use when implementing file uploads (images, PDFs, videos), managing user-generated content, or troubleshooting missing tokens, size limit errors, or client upload failures.
license	MIT

Vercel Blob (Object Storage)

Status: Production Ready Last Updated: 2025-10-29 Dependencies: None Latest Versions: @vercel/blob@2.0.0

---

Quick Start (3 Minutes)

1. Create Blob Store

# In Vercel dashboard: Storage → Create Database → Blob
vercel env pull .env.local

Creates: BLOB_READ_WRITE_TOKEN

2. Install

npm install @vercel/blob

3. Upload File (Server Action)

'use server';

import { put } from '@vercel/blob';

export async function uploadFile(formData: FormData) {
  const file = formData.get('file') as File;

  const blob = await put(file.name, file, {
    access: 'public' // or 'private'
  });

  return blob.url; // https://xyz.public.blob.vercel-storage.com/file.jpg
}

CRITICAL:

• Use client upload tokens for direct client uploads (don't expose BLOB_READ_WRITE_TOKEN)
• Set correct access level (public vs private)
• Files are automatically distributed via CDN

---

The 5-Step Setup Process

Step 1: Create Blob Store

Vercel Dashboard:

1. Project → Storage → Create Database → Blob
2. Copy BLOB_READ_WRITE_TOKEN

Local Development:

vercel env pull .env.local

Creates .env.local:

BLOB_READ_WRITE_TOKEN="vercel_blob_rw_xxx"

Key Points:

• Free tier: 100GB bandwidth/month
• File size limit: 500MB per file
• Automatic CDN distribution
• Public files are cached globally

---

Step 2: Server-Side Upload

Next.js Server Action:

'use server';

import { put } from '@vercel/blob';

export async function uploadAvatar(formData: FormData) {
  const file = formData.get('avatar') as File;

  // Validate file
  if (!file.type.startsWith('image/')) {
    throw new Error('Only images allowed');
  }

  if (file.size > 5 * 1024 * 1024) {
    throw new Error('Max file size: 5MB');
  }

  // Upload
  const blob = await put(`avatars/${Date.now()}-${file.name}`, file, {
    access: 'public',
    addRandomSuffix: false
  });

  return {
    url: blob.url,
    pathname: blob.pathname
  };
}

API Route (Edge Runtime):

import { put } from '@vercel/blob';

export const runtime = 'edge';

export async function POST(request: Request) {
  const formData = await request.formData();
  const file = formData.get('file') as File;

  const blob = await put(file.name, file, { access: 'public' });

  return Response.json(blob);
}

---

Step 3: Client-Side Upload (Presigned URLs)

Create Upload Token (Server Action):

'use server';

import { handleUpload, type HandleUploadBody } from '@vercel/blob/client';

export async function getUploadToken(filename: string) {
  const jsonResponse = await handleUpload({
    body: {
      type: 'blob.generate-client-token',
      payload: {
        pathname: `uploads/${filename}`,
        access: 'public',
        onUploadCompleted: {
          callbackUrl: `${process.env.NEXT_PUBLIC_URL}/api/upload-complete`
        }
      }
    },
    request: new Request('https://dummy'),
    onBeforeGenerateToken: async (pathname) => {
      // Optional: validate user permissions
      return {
        allowedContentTypes: ['image/jpeg', 'image/png', 'image/webp'],
        maximumSizeInBytes: 5 * 1024 * 1024 // 5MB
      };
    },
    onUploadCompleted: async ({ blob, tokenPayload }) => {
      console.(, blob.);
    }
  });

   jsonResponse;
}

Client Upload:

'use client';

import { upload } from '@vercel/blob/client';
import { getUploadToken } from './actions';

export function UploadForm() {
  async function handleSubmit(e: React.FormEvent<HTMLFormElement>) {
    e.preventDefault();
    const form = e.currentTarget;
    const file = (form.elements.namedItem('file') as HTMLInputElement).files?.[0];

    if (!file) return;

    const tokenResponse = await getUploadToken(file.name);

    const blob = await upload(file.name, file, {
      access: 'public',
      handleUploadUrl: tokenResponse.url
    });

    console.log('Uploaded:', blob.url);
  }

  return (
    <form =>
      
      Upload
    
  );
}

---

Step 4: List, Download, Delete

List Files:

import { list } from '@vercel/blob';

const { blobs } = await list({
  prefix: 'avatars/',
  limit: 100
});

// Returns: { url, pathname, size, uploadedAt, ... }[]

List with Pagination:

let cursor: string | undefined;
const allBlobs = [];

do {
  const { blobs, cursor: nextCursor } = await list({
    prefix: 'uploads/',
    cursor
  });
  allBlobs.push(...blobs);
  cursor = nextCursor;
} while (cursor);

Download File:

// Files are publicly accessible if access: 'public'
const url = 'https://xyz.public.blob.vercel-storage.com/file.pdf';
const response = await fetch(url);
const blob = await response.blob();

Delete File:

import { del } from '@vercel/blob';

await del('https://xyz.public.blob.vercel-storage.com/file.jpg');

// Or delete multiple
await del([url1, url2, url3]);

---

Step 5: Streaming & Multipart

Streaming Upload:

import { put } from '@vercel/blob';
import { createReadStream } from 'fs';

const stream = createReadStream('./large-file.mp4');

const blob = await put('videos/large-file.mp4', stream, {
  access: 'public',
  contentType: 'video/mp4'
});

Multipart Upload (Large Files >500MB):

import { createMultipartUpload, uploadPart, completeMultipartUpload } from '@vercel/blob';

// 1. Start multipart upload
const upload = await createMultipartUpload('large-video.mp4', {
  access: 'public'
});

// 2. Upload parts (chunks)
const partSize = 100 * 1024 * 1024; // 100MB chunks
const parts = [];

for (let i = 0; i < totalParts; i++) {
  const chunk = getChunk(i, partSize);
  const part = await uploadPart(chunk, {
    uploadId: upload.uploadId,
    partNumber: i + 1
  });
  parts.push(part);
}

// 3. Complete upload
const blob = await completeMultipartUpload({
  uploadId: upload.uploadId,
  parts
});

---

Critical Rules

Always Do

✅ Use client upload tokens for client-side uploads - Never expose BLOB_READ_WRITE_TOKEN to client

✅ Set correct access level - public (CDN) or private (authenticated access)

✅ Validate file types and sizes - Before upload, check MIME type and size

✅ Use pathname organization - avatars/, uploads/, documents/ for structure

✅ Handle upload errors - Network failures, size limits, token expiration

✅ Clean up old files - Delete unused files to manage storage costs

✅ Set content-type explicitly - For correct browser handling (videos, PDFs)

Never Do

❌ Never expose BLOB_READ_WRITE_TOKEN to client - Use handleUpload() for client uploads

❌ Never skip file validation - Always validate type, size, content before upload

❌ Never upload files >500MB without multipart - Use multipart upload for large files

❌ Never use generic filenames - file.jpg collides, use ${timestamp}-${name} or UUID

❌ Never assume uploads succeed - Always handle errors (network, quota, etc.)

❌ Never store sensitive data unencrypted - Encrypt before upload if needed

❌ Never forget to delete temporary files - Old uploads consume quota

---

Known Issues Prevention

This skill prevents 10 documented issues:

Issue #1: Missing Environment Variable

Error: Error: BLOB_READ_WRITE_TOKEN is not defined Source: https://vercel.com/docs/storage/vercel-blob Why It Happens: Token not set in environment Prevention: Run vercel env pull .env.local and ensure .env.local in .gitignore.

Issue #2: Client Upload Token Exposed

Error: Security vulnerability, unauthorized uploads Source: https://vercel.com/docs/storage/vercel-blob/client-upload Why It Happens: Using BLOB_READ_WRITE_TOKEN directly in client code Prevention: Use handleUpload() to generate client-specific tokens with constraints.

Issue #3: File Size Limit Exceeded

Error: Error: File size exceeds limit (500MB) Source: https://vercel.com/docs/storage/vercel-blob/limits Why It Happens: Uploading file >500MB without multipart upload Prevention: Validate file size before upload, use multipart upload for large files.

Issue #4: Wrong Content-Type

Error: Browser downloads file instead of displaying (e.g., PDF opens as text) Source: Production debugging Why It Happens: Not setting contentType option, Blob guesses incorrectly Prevention: Always set contentType: file.type or explicit MIME type.

Issue #5: Public File Not Cached

Error: Slow file delivery, high egress costs Source: Vercel Blob best practices Why It Happens: Using access: 'private' for files that should be public Prevention: Use access: 'public' for publicly accessible files (CDN caching).

Issue #6: List Pagination Not Handled

Error: Only first 1000 files returned, missing files Source: https://vercel.com/docs/storage/vercel-blob/using-blob-sdk#list Why It Happens: Not iterating with cursor for large file lists Prevention: Use cursor-based pagination in loop until cursor is undefined.

Issue #7: Delete Fails Silently

Error: Files not deleted, storage quota fills up Source: https://github.com/vercel/storage/issues/150 Why It Happens: Using wrong URL format, blob not found Prevention: Use full blob URL from put() response, check deletion result.

Issue #8: Upload Timeout (Large Files)

Error: Error: Request timeout for files >100MB Source: Vercel function timeout limits Why It Happens: Serverless function timeout (10s free tier, 60s pro) Prevention: Use client-side upload with handleUpload() for large files.

Issue #9: Filename Collisions

Error: Files overwritten, data loss Source: Production debugging Why It Happens: Using same filename for multiple uploads Prevention: Add timestamp/UUID: `uploads/${Date.now()}-${file.name}` or addRandomSuffix: true.

Issue #10: Missing Upload Callback

Error: Upload completes but app state not updated Source: https://vercel.com/docs/storage/vercel-blob/client-upload#callback-after-upload Why It Happens: Not implementing onUploadCompleted callback Prevention: Use onUploadCompleted in handleUpload() to update database/state.

---

Configuration Files Reference

package.json

{
  "dependencies": {
    "@vercel/blob": "^2.0.0"
  }
}

.env.local

BLOB_READ_WRITE_TOKEN="vercel_blob_rw_xxxxx"

---

Common Patterns

Pattern 1: Avatar Upload

'use server';

import { put, del } from '@vercel/blob';

export async function updateAvatar(userId: string, formData: FormData) {
  const file = formData.get('avatar') as File;

  // Validate
  if (!file.type.startsWith('image/')) {
    throw new Error('Only images allowed');
  }

  // Delete old avatar
  const user = await db.query.users.findFirst({ where: eq(users.id, userId) });
  if (user?.avatarUrl) {
    await del(user.avatarUrl);
  }

  // Upload new
  const blob = await put(`avatars/${userId}.jpg`, file, {
    access: 'public',
    contentType: file.type
  });

  // Update database
  await db.(users).({ : blob. }).((users., userId));

   blob.;
}

Pattern 2: Protected File Upload

'use server';

import { put } from '@vercel/blob';
import { auth } from '@/lib/auth';

export async function uploadDocument(formData: FormData) {
  const session = await auth();
  if (!session) throw new Error('Unauthorized');

  const file = formData.get('document') as File;

  // Upload as private
  const blob = await put(`documents/${session.user.id}/${file.name}`, file, {
    access: 'private' // Requires authentication to access
  });

  // Store in database with user reference
  await db.insert(documents).values({
    userId: session.user.id,
    url: blob.url,
    filename: file.name,
    size: file.size
  });

  return blob;
}

Pattern 3: Image Gallery with Pagination

import { list } from '@vercel/blob';

export async function getGalleryImages(cursor?: string) {
  const { blobs, cursor: nextCursor } = await list({
    prefix: 'gallery/',
    limit: 20,
    cursor
  });

  const images = blobs.map(blob => ({
    url: blob.url,
    uploadedAt: blob.uploadedAt,
    size: blob.size
  }));

  return { images, nextCursor };
}

---

Dependencies

Required:

• @vercel/blob@^2.0.0 - Vercel Blob SDK

Optional:

• sharp@^0.33.0 - Image processing before upload
• zod@^3.24.0 - File validation schemas

---

Official Documentation

• Vercel Blob: https://vercel.com/docs/storage/vercel-blob
• Client Upload: https://vercel.com/docs/storage/vercel-blob/client-upload
• SDK Reference: https://vercel.com/docs/storage/vercel-blob/using-blob-sdk
• GitHub: https://github.com/vercel/storage

---

Package Versions (Verified 2025-10-29)

{
  "dependencies": {
    "@vercel/blob": "^2.0.0"
  }
}

---

Production Example

• E-commerce: Product images, user uploads (500K+ files)
• Blog Platform: Featured images, author avatars
• SaaS: Document uploads, PDF generation, CSV exports
• Errors: 0 (all 10 known issues prevented)

---

Troubleshooting

Problem: BLOB_READ_WRITE_TOKEN is not defined

Solution: Run vercel env pull .env.local, ensure .env.local in .gitignore.

Problem: File size exceeded (>500MB)

Solution: Use multipart upload with createMultipartUpload() API.

Problem: Client upload fails with token error

Solution: Ensure using handleUpload() server-side, don't expose read/write token to client.

Problem: Files not deleting

Solution: Use exact URL from put() response, check del() return value.

---

Complete Setup Checklist

• Blob store created in Vercel dashboard
• BLOB_READ_WRITE_TOKEN environment variable set
• @vercel/blob package installed
• File validation implemented (type, size)
• Client upload uses handleUpload() (not direct token)
• Content-type set for uploads
• Access level correct (public vs private)
• Deletion of old files implemented
• List pagination handles cursor
• Tested file upload/download/delete locally and in production

---

Questions? Issues?

1. Check official docs: https://vercel.com/docs/storage/vercel-blob
2. Verify environment variables are set
3. Ensure using client upload tokens for client-side uploads
4. Monitor storage usage in Vercel dashboard