Getting Started

Try before installing

Explore the full UI at demo.snapotter.com - no signup or install required.

Quick Start

docker run -d --name SnapOtter -p 1349:1349 -v SnapOtter-data:/data snapotter/snapotter:latest

This single container runs everything it needs: with no DATABASE_URL set, it starts its own PostgreSQL and Redis on the loopback interface (embedded mode) and keeps all data in the SnapOtter-data volume. It is the fastest way to try SnapOtter or self-host on a homelab. For production, run the Docker Compose stack below, which keeps PostgreSQL and Redis in their own containers. Embedded mode runs as root (the default) and turns off automatically as soon as you set DATABASE_URL.

Installing on a Raspberry Pi, an old laptop, or a small VPS? See Low-Resource Setups for a tuned walkthrough and what to expect from constrained hardware.

You will be asked to change your password on first login.

Anonymous Product Analytics

SnapOtter includes anonymous product analytics by default. To turn it off, open Settings → System → Privacy and switch off Anonymous Product Analytics. It stops immediately for the whole instance.

You can also set the environment variable SNAPOTTER_TELEMETRY=0 (false and off work too) to disable all telemetry for the instance without a rebuild.

Error monitoring is powered by Sentry, which sponsors SnapOtter through its open-source program.

For details about what is collected, see What SnapOtter collects.

NVIDIA CUDA acceleration

Add --gpus all for NVIDIA CUDA-accelerated background removal, upscaling, face enhancement, and restoration. OCR remains CPU-based and works in the same image with or without GPU access:

docker run -d --name SnapOtter -p 1349:1349 --gpus all -v SnapOtter-data:/data snapotter/snapotter:latest

Requires the NVIDIA Container Toolkit. Falls back to CPU automatically when CUDA is unavailable. Intel/AMD iGPU acceleration through VA-API, Quick Sync, or OpenCL is not supported for AI inference today. See Docker Tags for benchmarks. If AI tools run on CPU despite --gpus all, see Verify GPU acceleration.

Also on GHCR

docker run -d --name SnapOtter -p 1349:1349 -v SnapOtter-data:/data ghcr.io/snapotter-hq/snapotter:latest

Both registries publish the same image on every release.

Docker Compose

services:
  SnapOtter:
    image: snapotter/snapotter:latest  # or ghcr.io/snapotter-hq/snapotter:latest
    ports:
      - "1349:1349"
    volumes:
      - SnapOtter-data:/data
    environment:
      - AUTH_ENABLED=true
      - DEFAULT_USERNAME=admin
      - DEFAULT_PASSWORD=admin
      - DATABASE_URL=postgres://snapotter:snapotter@postgres:5432/snapotter
      - REDIS_URL=redis://redis:6379
    depends_on:
      postgres:
        condition: service_healthy
      redis:
        condition: service_healthy
    restart: unless-stopped

  postgres:
    image: postgres:17-alpine
    environment:
      POSTGRES_USER: snapotter
      POSTGRES_PASSWORD: snapotter     # Change this for non-local deployments
      POSTGRES_DB: snapotter
    volumes:
      - SnapOtter-pgdata:/var/lib/postgresql/data
    restart: unless-stopped
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U snapotter -d snapotter"]
      interval: 10s
      timeout: 5s
      retries: 12

  redis:
    image: redis:8-alpine
    command: ["redis-server", "--maxmemory-policy", "noeviction", "--appendonly", "yes"]
    volumes:
      - SnapOtter-redisdata:/data
    restart: unless-stopped
    healthcheck:
      test: ["CMD", "redis-cli", "ping"]
      interval: 10s
      timeout: 5s
      retries: 12

volumes:
  SnapOtter-data:
  SnapOtter-pgdata:
  SnapOtter-redisdata:

See Configuration for all environment variables.

Build from Source

Prerequisites: Node.js 22+, pnpm 9+, Docker (for Postgres + Redis), Python 3.10+ (for AI features), Git.

git clone https://github.com/snapotter-hq/SnapOtter.git
cd SnapOtter
docker compose -f docker-compose.dev.yml up -d   # start Postgres + Redis
pnpm install
pnpm dev

• Frontend: http://localhost:1349
• Backend: http://localhost:13490

What You Can Do

File Processing (200+ Tools)

Modality	Count	Example Tools
Image	107	Resize, Crop, Compress, Convert, Remove Background, Upscale, OCR, Watermark, Collage, Colorize, GIF Tools, format presets
Video	57	Trim, Crop, Compress, Convert, Merge, Extract Audio, Auto Subtitles, Video to GIF, Resize, Stabilize, format presets
Audio	27	Trim, Merge, Convert, Normalize, Noise Reduction, Transcribe, Pitch Shift, Fade, Ringtone Maker, format presets
PDF / Document	42	Merge, Split, Compress, OCR, Watermark, Redact, Word to PDF, Excel to PDF, Rotate, Protect, Repair
Files	10	CSV to JSON, JSON to XML, Merge CSVs, Split CSV, Create ZIP, Extract ZIP, Chart Maker, YAML/JSON

Pipelines

Chain tools into multi-step workflows and apply them to one image or a whole batch:

1. Open Pipelines in the sidebar.
2. Add steps (any tool, any settings).
3. Run on a single file - or an entire batch at once.
4. Save the pipeline for later reuse.

Pipelines allow 20 steps by default. Set MAX_PIPELINE_STEPS=0 to make the limit unlimited.

File Library

Every file you process can be saved to your Files library. SnapOtter tracks the full version history so you can trace every processing step from the original upload to the final output.

Saving is explicit: results you save to the library are kept until you delete them, while results you process and leave unsaved are cleared automatically after 72 hours (configurable via FILE_MAX_AGE_HOURS).

REST API & API Keys

Every tool is accessible via HTTP:

curl -X POST http://localhost:1349/api/v1/tools/image/resize \
  -H "Authorization: Bearer si_<your-api-key>" \
  -F "[email protected]" \
  -F 'settings={"width":800,"height":600,"fit":"cover"}'

Generate API keys under Settings → API Keys. See the REST API reference for all endpoints, or visit http://localhost:1349/api/docs for the interactive reference.

Multi-User & Teams

Enable multiple users with role-based access control:

• Admin: full access - manage users, teams, settings, all files/pipelines/API keys
• User: use tools, manage own files/pipelines/API keys

Create teams under Settings → Teams to group users.

Set AUTH_ENABLED=true (or false for single-user/self-use without login).