Cloudinary vs Vercel Blob: Which Should You Use?

You're staring at two upload buttons in your dashboard: one for Cloudinary, one for Vercel Blob. The choice feels arbitrary until your image pipeline breaks in production.

Cloudinary vs Vercel Blob isn't a fair fight — it's a question of whether you need a media delivery network or a simple file system. I've used both extensively, and the decision comes down to one thing: whether your images need transformation or just storage.

Cloudinary vs Vercel Blob: The Key Differences

Cloudinary is a full media platform. It stores, transforms, optimizes, and delivers images through a global CDN. You upload once, then request any version of that asset via URL parameters — resize, crop, compress, add watermarks, even detect faces.

Vercel Blob is storage with presigned URLs. It's built on the same infrastructure as Vercel's edge network, giving you fast uploads and downloads. But that's it. No transformations, no format conversion, no visual editing. You get a URL back, and you handle everything else yourself.

The pricing models reflect this. Cloudinary charges based on transformations and bandwidth. Vercel Blob charges per gigabyte stored and transferred. If you're only storing and serving original files, Vercel Blob is cheaper. The moment you need multiple image variants, Cloudinary's cost-per-transformation model starts making sense.

When to Use Cloudinary

You need Cloudinary when your images require on-the-fly processing. Think e-commerce product photos, user-generated content, or any app where you display the same image at different sizes across breakpoints.

// Cloudinary: request a 400x400 face-cropped thumbnail on the fly
const thumbnailUrl = cloudinary.url("user-uploads/profile.jpg", {
  transformation: [
    { width: 400, height: 400, crop: "thumb", gravity: "face" },
    { quality: "auto", fetch_format: "auto" }
  ]
});

That single line replaces what would otherwise be a background job, a resizing script, and a separate storage bucket for each variant. Cloudinary also handles AVIF/WebP negotiation automatically based on the client's Accept header — something you'd otherwise need a CDN edge function for.

When to Use Vercel Blob

Vercel Blob shines when you're storing files that don't need processing. PDFs, CSV exports, raw user uploads, or images you'll display exactly as uploaded. It's also the obvious choice if you're already deployed on Vercel and want zero-config integration.

// Vercel Blob: upload and get a public URL in one call
import { put } from "@vercel/blob";

export async function uploadAvatar(file: File) {
  const { url } = await put(`avatars/${file.name}`, file, {
    access: "public",
    addRandomSuffix: true,
  });
  return url;
}

The API is dead simple. No SDK configuration, no transformation syntax to learn. If your use case stops at "store this file and give me a URL," Vercel Blob does it in less code than any alternative I've tried.

Cloudinary or Vercel Blob: Which One Should You Pick?

Pick Cloudinary if: you need responsive images, format optimization, or any server-side image manipulation. Also pick it if your images come from users — face detection, moderation, and auto-tagging are features you'd have to build yourself otherwise.

Pick Vercel Blob if: your files are static assets, you're on Vercel, and you don't want to learn a media API. It's also the better choice for non-image files — Cloudinary's image focus makes it awkward for arbitrary binary storage.

What about cost? Cloudinary's free tier is generous (25GB storage, 25GB bandwidth monthly). Vercel Blob gives you 1GB storage and 10GB bandwidth free. Past that, Vercel Blob is cheaper for pure storage; Cloudinary wins when you factor in the cost of building image processing yourself.

My Take

I default to Vercel Blob for anything that isn't user-facing imagery. For a portfolio, a blog, or an internal tool, Blob is faster to implement and easier to reason about. But the moment I'm building something where images are the product — an e-commerce site, a social app, a CMS — I reach for Cloudinary without hesitation.

The deciding factor isn't storage or price. It's whether you want to write image processing code. If you do, Vercel Blob is fine. If you don't, Cloudinary's transformation API is worth every dollar.

Here's the one thing that makes this decision obvious: if you're resizing images on the server, you've already lost — use Cloudinary. If you're not, save the complexity and use Vercel Blob.