Fixes found by manually testing a fresh install end to end: - auth: the must-change-password gate returned 403 on public routes including /api/v1/health, so every fresh install showed a false "Reconnecting to server" banner on the forced password change screen. Public routes are now exempt (they need no session at all). Adds the gate's first direct tests. - multipart: @fastify/multipart's parts() iterator (9.4.0 and 10.0.0) ends on the request stream's "close", which on a reused keep-alive connection fires while an earlier part is still streaming to storage, silently dropping the parts behind it. The object eraser lost its mask file on every second POST per connection. Replaced with a busboy-driven iterator (lib/multipart-parts.ts) that ends on busboy's own "finish", installed for all routes via a preValidation hook; the tool-factory field-recovery workaround for the same bug is now unnecessary and removed. - eraser: the mask canvas backing store is natural resolution, but "absolute inset-0" does not stretch replaced elements, so the canvas rendered at intrinsic size and the brush ring, strokes, and exported mask were all misscaled on photos larger than the viewport. The canvas now gets an explicit CSS box at the fitted size. - compare slider: solid white divider with a dark halo so it stays visible over light images; still initialised at the painted region. - tool page: the AI bundle install prompt now centers in the content area instead of hugging the top. - api docs: disabled Scalar's cloud features (Ask AI, Generate MCP, Open API Client, dev toolbar), hid the "Powered by Scalar" footer link, and set the page title to "SnapOtter API Reference". The docs CSP blocks those cloud calls by design, so the buttons were dead UI. - docker: embedded Redis comes from packages.redis.io pinned to the 8.x major (was Debian's 7.0.15), matching the Compose stack and the documented claim. Build fails fast if the major ever drifts. - docs: DOCKERHUB.md quick start now leads with the one-command docker run (matching the README) with Compose as the production path; README says embedded Postgres 17 + Redis 8. Claude-Session: https://claude.ai/code/session_01XGB4pGvTvb7sUX4JN745U7
9.8 KiB
Note
SnapOtter v2.0.0 is the current monorepo version, with 200+ tools across image, video, audio, PDF, and files. For published image channels and GPU variants, see the Docker Tags guide.
Self-hosted file toolkit. 200+ tools across image, video, audio, PDF, and files.
The open-source alternative to Smallpdf, iLovePDF, TinyPNG, CloudConvert, and Otter.ai, in one stack you host yourself.
Stirling-PDF stops at PDFs. ConvertX stops at conversions. SnapOtter runs all five, and your files never leave your server. Edit images, convert video, transcribe audio, repair PDFs, batch your files: one Docker stack, on hardware you own.
Key Features
- 200+ tools across 5 modalities:
- Image (105): resize, crop, compress, convert, watermark, color adjust, beautify screenshots, generate memes, vectorize, GIF tools, find duplicates, passport photos, plus dedicated format converters (JPG to PNG, HEIC to JPG, WebP to PNG, image to PDF, and more). Supports 55+ input formats (including 23 camera RAW formats) and 14 output formats
- Video (57): convert, compress, trim, resize, crop, merge, video-to-GIF, extract audio, stabilize, change FPS, burn/extract subtitles, plus dedicated converters (MOV to MP4, MKV to MP4, MP4 to MP3, and more)
- Audio (27): convert, trim, normalize, volume, fade, pitch shift, silence removal, noise reduction, merge/split, waveform, plus dedicated converters (M4A to MP3, AAC to MP3, OGG to WAV, and more)
- PDF (29): merge, split, compress, convert, protect/unlock, redact, sign, watermark, page numbers, OCR, plus PDF to JPG/PNG/TIFF
- Files (23): CSV/JSON/XML/YAML conversion, CSV merge/split, Excel to CSV, chart maker, ZIP create/extract
- Image editor: Layer-based editor with brushes, shapes, adjustments, filters, curves, and keyboard shortcuts. Runs in your browser, processes on your hardware
- Local AI: Remove backgrounds, upscale images, restore and colorize old photos, erase objects, blur faces, enhance faces, extract text (OCR from images and PDFs), transcribe audio, auto-generate video subtitles, expand canvas, and fix transparency. All on your hardware, no internet required
- OIDC / SSO: Login with Google, GitHub, Okta, or any OpenID Connect provider
- 21 languages: English, Arabic, Chinese (Simplified & Traditional), Dutch, French, German, Hindi, Indonesian, Italian, Japanese, Korean, Polish, Portuguese, Russian, Spanish, Swedish, Thai, Turkish, Ukrainian, Vietnamese. RTL support for Arabic
- Pipelines: Chain tools into reusable workflows with unlimited steps. Import/export as JSON. Batch process unlimited files at once
- REST API: Every tool available via API with API key auth. Interactive docs at
/api/docs - Self-hosted: one
docker runfor a single-container quick start (embedded Postgres 17 + Redis 8), or the same Postgres 17 + Redis 8 as a Compose stack for production. No external SaaS dependencies - Multi-arch: Runs on AMD64 and ARM64 (Intel, Apple Silicon, Raspberry Pi)
- Privacy first: Your files never leave your network. Basic analytics help us catch bugs and improve tools -- disable anytime by rebuilding with
SNAPOTTER_ANALYTICS=off(Here's how to do it)
Quick Start
One container, no setup. It starts an embedded Postgres 17 + Redis 8 on loopback and stores data in the SnapOtter-data volume:
docker run -d --name SnapOtter -p 1349:1349 -v SnapOtter-data:/data snapotter/snapotter:latest
For production, run the 3-container Compose stack (app + Postgres 17 + Redis 8). Save this as compose.yaml:
services:
snapotter:
image: snapotter/snapotter:latest
ports: ["1349:1349"]
environment:
DATABASE_URL: postgres://snapotter:snapotter@postgres:5432/snapotter
REDIS_URL: redis://redis:6379
volumes:
- snapotter-data:/data
depends_on: [postgres, redis]
restart: unless-stopped
postgres:
image: postgres:17-alpine
environment:
POSTGRES_USER: snapotter
POSTGRES_PASSWORD: snapotter
POSTGRES_DB: snapotter
volumes: ["snapotter-pgdata:/var/lib/postgresql/data"]
restart: unless-stopped
redis:
image: redis:8-alpine
volumes: ["snapotter-redisdata:/data"]
restart: unless-stopped
volumes:
snapotter-data:
snapotter-pgdata:
snapotter-redisdata:
Then start the stack:
docker compose up -d
Have an NVIDIA GPU? Click here for CUDA acceleration.
Use the GPU Compose file for NVIDIA CUDA-accelerated background removal, upscaling, transcription, and OCR. Intel/AMD iGPU acceleration through VA-API, Quick Sync, or OpenCL is not supported for AI inference today; those systems run AI tools on CPU. See Docker Tags for the GPU Compose example and benchmarks.
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 NVIDIA CUDA acceleration and tag details, see Docker Tags.
Documentation
- Getting Started
- Configuration
- OIDC / SSO
- Deployment
- Supported Formats
- Docker Tags
- REST API
- AI Engine
- Image Engine
- Architecture
- Database
- Developer Guide
- Contributing
- Translation Guide
Contributing
We welcome bug reports, feature ideas, and pull requests. See CONTRIBUTING.md for the full guide, or jump in:
- Open an issue
- Submit a PR
- Join Discord for help and discussion
- Sponsor the project to keep SnapOtter free for everyone
Support SnapOtter
SnapOtter is built and maintained independently with no venture capital or corporate backing. Sponsorships fund infrastructure, keep releases flowing, and ensure the project stays free and open for everyone.
If SnapOtter saves you from paying for cloud file-processing services, consider supporting its development:
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.
- 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.
See LICENSING.md for full details on the open-core boundary between AGPLv3 and commercial code.

