Flyimg
Self-HostedOpen-source image processing and optimization service
Overview
Flyimg is a self-hosted image processing API enabling on-the-fly resizing, cropping, compression, and filter application. It supports modern formats like WebP and AVIF to boost web performance, integrates with cloud storage (S3, Google Cloud), and works with CDNs. Deployable via Docker for quick setup or traditional servers, it gives developers full control over their media pipeline, eliminating reliance on third-party services like Cloudinary. Ideal for reducing image load times and maintaining data privacy.
Self-Hosting Resources
Below is a reference structure for docker-compose.yml.
⚠️ Do NOT run blindly. Replace placeholders with official values.
version: '3'
services:
flyimg:
image: <OFFICIAL_IMAGE_NAME>:latest
container_name: flyimg
ports:
- "8080:<APP_INTERNAL_PORT>"
volumes:
- ./data:/app/data
restart: unless-stopped Key Features
- On-the-fly resizing, cropping, and compression
- Support for modern formats (WebP, AVIF)
- Dockerized deployment for easy setup
- Cloud storage integration (S3, Google Cloud)
Frequently Asked Questions
? Is Flyimg hard to install?
No—Flyimg uses Docker Compose for quick deployment. With Docker installed, clone the repo, configure environment variables (e.g., storage), and run the compose command. Non-Docker setups require PHP and ImageMagick, with documentation guiding you through steps.
? Is it a good alternative to Cloudinary?
Yes—for developers wanting control over their pipeline and no recurring costs. It supports core features like resizing and format conversion, though it lacks advanced SaaS features (e.g., AI tagging) but integrates with external CDNs.
? Is it completely free?
Yes—Flyimg is open-source under the MIT License. You can use, modify, and self-host it without any cost; all features are available with no hidden fees or premium tiers.
Top Alternatives
People Also Ask about Flyimg
Tool Info
Pros
- ⊕ Privacy focused (self-hosted, no third-party access)
- ⊕ No subscription fees
- ⊕ Customizable processing pipeline
Cons
- ⊖ Requires server/cloud instance to host
- ⊖ Needs basic DevOps knowledge for setup
- ⊖ Limited UI (API-first, no graphical dashboard)