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Add bidirectional HEIC support using system libheif CLI tools (heif-enc/heif-dec) for HEVC encoding/decoding, since Sharp's bundled libheif only supports AV1. - HEIC input: all tools now accept iPhone HEIC photos via heif-dec pre-processing - HEIC output: convert tool produces true HEIC (HEVC) via heif-enc - Docker: adds libheif-examples package for heif-enc/heif-dec CLI tools - Tests: full conversion matrix (7x7), unit tests, and Playwright e2e tests - Docs: updated OpenAPI spec, image-engine docs, getting-started, llms-full.txt
1.8 KiB
1.8 KiB
Getting started
Run with Docker
The fastest way to get Stirling Image running:
docker run -d \
--name stirling-image \
-p 1349:1349 \
-v stirling-data:/data \
stirlingimage/stirling-image:latest
Open http://localhost:1349 in your browser. Log in with admin / admin.
Run with Docker Compose
Create a docker-compose.yml:
services:
stirling-image:
image: stirlingimage/stirling-image:latest
container_name: stirling-image
ports:
- "1349:1349"
volumes:
- stirling-data:/data
- stirling-workspace:/tmp/workspace
environment:
- AUTH_ENABLED=true
- DEFAULT_USERNAME=admin
- DEFAULT_PASSWORD=admin
restart: unless-stopped
volumes:
stirling-data:
stirling-workspace:
docker compose up -d
See Configuration for the full list of environment variables.
Build from source
Requirements: Node.js 22+, pnpm 9+, Python 3.10+
git clone https://github.com/stirling-image/stirling-image.git
cd stirling-image
pnpm install
Start the dev server:
pnpm dev
This starts both the API server and the React frontend. Open http://localhost:1349 in your browser.
What you can do
The sidebar lists every tool. Pick one, upload an image, tweak the settings, download the result.
Some things to try first:
- Resize an image to specific dimensions or a percentage
- Remove a background with the AI tool
- Compress a photo before uploading it somewhere
- Convert between formats (JPEG, PNG, WebP, AVIF, TIFF, HEIC)
- Batch process a folder of images through any tool
- Save results to the Files page for later
Every tool is also available through the REST API, so you can script workflows or plug Stirling Image into other systems.