SnapOtter a01a65e9ac docs: complete API sync and documentation audit
Audit all 52 tools and 119 API operations against the OpenAPI spec.
Fix schema mismatches, add missing endpoints, and update all doc surfaces.

OpenAPI spec (apps/api/src/openapi.yaml):
- Add operationId to all 119 operations for SDK code generation
- Add descriptions to 17 operations that only had summaries
- Fix 9 bare error responses with proper content/schema blocks
- Fix wrong $ref on GET /api/v1/settings/{key} 404 (was UnauthorizedError)
- Fix 10 async AI tools using 200 instead of 202 Accepted
- Add missing JXL format to 9 tool enums (convert, collage, stitch, split,
  svg-to-raster, pdf-to-image, optimize-for-web, erase-object, noise-removal)
- Add 3 missing endpoints: POST /api/v1/fetch-urls, GET /api/v1/config/locale,
  POST /api/v1/tools/ai-canvas-expand
- Add missing meme-templates/fonts/{filename} endpoint
- Fix watermark-image and compose: settings not required (all have defaults)
- Fix compare similarity description (0-100 percentage, not 0-1)
- Fix find-duplicates: add nullable thumbnail, add skippedFiles response field
- Fix upscale format default ("auto" not "png"), add clientJobId fields
- Fix restore-photo: remove phantom mode param, fix denoiseStrength default,
  add missing colorizeStrength
- Fix smart-crop: add 5 missing parameter defaults
- Add missing params: image-enhancement deepEnhance, transparency-fixer
  removeWatermark, image-to-pdf collate, image-to-base64 jxl enum
- Fix files/{id}/thumbnail security (requires auth, was marked public)
- Annotate 7 empty description strings in pipeline/role schemas

Documentation surfaces:
- VitePress config: "50 tools" to "51 tools" (2 locations)
- README: add OIDC/SSO docs link
- getting-started.md: add Color Blindness Simulation to tool table
- database.md: fix hash descriptions (bcrypt/SHA-256 to scrypt)
2026-05-15 23:13:42 +08:00
2026-04-25 01:02:25 +08:00

SnapOtter - A Self Hosted Image Manipulator

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SnapOtter - Dashboard

Key Features

  • 51 image tools - Resize, crop, compress, convert, watermark, color adjust, beautify screenshots, generate memes, vectorize, create GIFs, find duplicates, generate passport photos, and more. Supports 55+ input formats (including 23 camera RAW formats) and 14 output formats
  • Local AI - Remove backgrounds, upscale images, restore and colorize old photos, erase objects, blur faces, enhance faces, extract text (OCR). All on your hardware - no internet required
  • Pipelines - Chain tools into reusable workflows with unlimited steps. Batch process unlimited images at once
  • REST API - Every tool available via API with API key auth. Interactive docs at /api/docs
  • Single container - One docker run, no Redis, no Postgres, no external services
  • Multi-arch - Runs on AMD64 and ARM64 (Intel, Apple Silicon, Raspberry Pi)
  • Privacy first - Your images never leave your machine. SnapOtter asks once whether you'd like to share anonymous product analytics (which tools are used, errors encountered — never file data). Change anytime in Settings, or set ANALYTICS_ENABLED=false to disable completely

Quick Start

docker run -d --name snapotter -p 1349:1349 -v snapotter-data:/data snapotter/snapotter:latest
Have an NVIDIA GPU? Click here for GPU acceleration.

Add --gpus all for GPU-accelerated background removal, upscaling, and OCR:

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

Requires an NVIDIA GPU and Container Toolkit. Falls back to CPU if no GPU is found. See Docker Tags for benchmarks and Docker Compose examples.

Default credentials:

Field Value
Username admin
Password admin

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

For Docker Compose, persistent storage, and other setup options, see the Getting Started Guide. For GPU acceleration and tag details, see Docker Tags.

Documentation

Feedback

Found a bug or have a feature idea? Open a GitHub Issue. We don't accept pull requests, but your feedback directly shapes the project. See CONTRIBUTING.md for details.

Join our Discord for help, discussion, and community updates.

License

This project is dual-licensed under the AGPLv3 and a commercial license.

  • AGPLv3 (free): You may use, modify, and distribute this software under the AGPLv3. If you run a modified version as a network service, you must make your source code available under the AGPLv3. This applies to personal use, open-source projects, and any use that complies with AGPLv3 terms.
  • Commercial license (paid): For use in proprietary software or SaaS products where AGPLv3 source-disclosure is not suitable, a commercial license is available. Contact us for pricing and terms.
Languages
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Python 3.5%
JavaScript 2.4%
Shell 1.6%
Astro 1.1%
Other 0.3%