Lovable storage

Image Upload Failing or Corrupted in Lovable

When users try to upload images in your Lovable app, the upload either fails entirely, succeeds but the image appears broken or corrupted, or the image uploads but never displays correctly on the page.

Image uploads are a core feature for many apps — profile pictures, product images, gallery uploads. When they break, users can't complete essential tasks and the app feels unreliable.

The issue may appear in different ways: a spinner that never completes, an error message after selecting a file, a broken image icon where the photo should appear, or images that upload fine on desktop but fail on mobile.

Error Messages You Might See

Failed to upload image Payload too large Error: new row violates check constraint The resource could not be loaded net::ERR_FAILED 413
Failed to upload imagePayload too largeError: new row violates check constraintThe resource could not be loadednet::ERR_FAILED 413

Common Causes

  • File size too large — Mobile phone photos can be 5-15MB, exceeding default upload limits
  • Wrong MIME type — HEIC images from iPhones aren't handled, or the server expects specific image formats
  • Storage bucket not configured — Supabase storage bucket doesn't exist or has wrong permissions
  • Missing image transformation — Images aren't resized before upload, causing timeout on large files
  • Base64 encoding issues — The app converts images to base64 for database storage, hitting text column size limits

How to Fix It

  1. Check Supabase storage configuration — Verify the bucket exists, is set to public (if images need to be displayed), and has correct RLS policies
  2. Add client-side image compression — Use a library like browser-image-compression to resize images before upload
  3. Handle HEIC format — Add HEIC to JPEG conversion for iPhone users using heic2any library
  4. Increase upload size limits — Configure your server and Supabase to accept larger files if needed
  5. Verify the image URL — Check that the stored URL is correct and accessible by opening it directly in a browser

Real developers can help you.

Omar Faruk Omar Faruk As a Product Engineer at Klasio, I contributed to end-to-end product development, focusing on scalability, performance, and user experience. My work spanned building and refining core features, developing dynamic website templates, integrating secure and reliable payment gateways, and optimizing the overall system architecture. I played a key role in creating a scalable and maintainable platform to support educators and learners globally. I'm enthusiastic about embracing new challenges and making meaningful contributions. BurnHavoc BurnHavoc Been around fixing other peoples code for 20 years. Matt Butler Matt Butler Software Engineer @ AWS Rudra Bhikadiya Rudra Bhikadiya I build and fix web apps across Next.js, Node.js, and DBs. Comfortable jumping into messy code, broken APIs, and mysterious bugs. If your project works in theory but not in reality, I help close that gap. prajwalfullstack prajwalfullstack Hi Im a full stack developer, a vibe coded MVP to Market ready product, I'm here to help Mehdi Ben Haddou Mehdi Ben Haddou - Founder of Chessigma (1M+ users) & many small projects - ex Founding Engineer @Uplane (YC F25) - ex Software Engineer @Amazon and @Booking.com Matthew Butler Matthew Butler Systems Development Engineer @ Amazon Web Services Jacek Rozanski Jacek Rozanski Senior PHP/Symfony developer and DevOps engineer with 20+ years of professional experience, running opcode.pl (web development agency, est. 2004). Day job: I'm the sole backend developer at merketing company where I own and maintain 11 PHP/Symfony microservices on AWS (ECS Fargate, RDS, S3, CloudFront), handle the full CI/CD pipeline (Bitbucket Pipelines, Docker), and manage monitoring with Sentry and CloudWatch. These services handle high request volumes in production every month. What I bring to AI-built apps: - I audit and fix security issues (OWASP methodology), performance bottlenecks, and architectural problems in codebases generated by Cursor, Claude Code, Lovable, Bolt, and v0 - I refactor AI-generated prototypes into production-grade applications with proper error handling, testing, and clean architecture (SOLID, DDD, hexagonal architecture) - I set up the infrastructure AI tools don't touch: AWS hosting, CI/CD pipelines, automated deployments, database optimization, monitoring, and alerting - I integrate external services: payment providers, email systems, partner APIs, SSO/auth Tech stack: PHP 8.x, Symfony, React, Next.js, PostgreSQL, MySQL, Docker, AWS (ECS, RDS, S3, SQS/SNS, CloudFront), Terraform, Supabase. I also use AI tools daily (Claude Code, Cursor) in my own workflow, so I understand both the strengths and the gaps in AI-generated code. Based in Poland (CET timezone). Available for async work and calls during EU/US business hours. Antriksh Narang Antriksh Narang 5 years+ Experienced Dev (Specially in Web Development), can help in python, javascript, react, next.js and full stack web dev technologies. Vlad Temian Vlad Temian 15+ years shipping production infrastructure for startups. Former CTO at qed.builders (acquired by The Sandbox). Cursor ambassador and agentic tooling builder. I've scaled systems, automated deployments, and built observability tools for AI coding workflows. I specialize in taking vibe-coded apps from broken prototype to production-ready: fixing Supabase auth/RLS, Stripe integrations, deployment pipelines, and cleaning up AI-generated spaghetti. I build tools in this space (agentprobe, claudebin, micode) and understand both sides: how AI generates code and why it breaks. https://blog.vtemian.com/

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Frequently Asked Questions

Why do iPhone photos fail to upload?

iPhones save photos in HEIC format by default, which many web apps don't support. You need to either convert HEIC to JPEG before upload or configure your storage to accept HEIC files.

Should I store images in the database or storage?

Always use dedicated storage (like Supabase Storage or S3). Storing images as base64 in the database is slow, expensive, and hits size limits quickly.

Related Lovable Issues

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