How I Choose The Best Storage for Your AI SaaS App (R2 vs Vercel Blob)
Struggling with file uploads in your AI SaaS? Using Base64 strings for images is a start, but it's not a scalable, production-ready solution, especially when you need to handle PDFs and other file types. The real answer is cloud object storage.
In this deep dive, I compare two of the most popular solutions for Next.js developers: Vercel Blob and Cloudflare R2. While Vercel Blob is simple, I'll show you why Cloudflare R2's zero egress fees, generous 10GB free tier, and S3-compatible API make it the superior choice for building a cost-effective and powerful AI application.
I'll walk you through the entire process, from configuring your Cloudflare R2 bucket and API tokens to writing the Next.js API route that handles multi-file uploads. I'm also open-sourcing the exact code I use in my AI Starter Kit so you can implement it today.
✅ GET THE CODE (GitHub Repo)
Fork the AI Chatbot Starter Kit with Cloudflare R2 integration:
https://www.grablink.xyz/l/K83J8Q
🕒 TIMESTAMPS:
0:00 - The Problem with File Uploads in AI Apps
0:47 - Cloud Storage: Vercel Blob vs. S3
2:05 - Why I Chose Cloudflare R2 (Zero Egress Fees!)
3:23 - LIVE DEMO: Multi-File Uploads in Action
6:49 - How to Configure Your Cloudflare R2 Bucket
9:27 - The Code: Building the Next.js API Route for Uploads
13:06 - The Code: The S3-Compatible Client Library
17:34 - The Code: The Frontend Chat Component
19:29 - What's Coming Next (Chat History!)
🚀 NEED HELP BUILDING YOUR AI APPLICATION?
Implementing robust features like file storage can be complex. If you need an expert to guide your technical strategy or build out your vision, I offer professional AI and SaaS development consulting.
➡️ Book a 30-minute strategy call with me: https://cal.com/prosamik/30min
#CloudflareR2 #VercelBlob #SaaS #AI #NextJS #Developer #BuildInPublic