All formats in one Local conversion power
This repo lets you convert and edit files on your hardware.
snapotter-hq/SnapOtter
Open-source, self-hosted file-processing tool. Convert, compress, OCR, transcribe & run local AI across image, video, audio, PDF & documents, via UI, REST API & pipelines. Your files never leave your network.
THE USEFUL PART
Open-source, self-hosted file-processing tool. Convert, compress, OCR, transcribe & run local AI across image, video, audio, PDF & documents, via UI, REST API & pipelines. Your files never leave your network.
THE STACKRADAR WALKTHROUGH
A short introduction from our reel. See the project README for the current details.
This repo lets you convert and edit files on your hardware.
Beyond basic conversion, SnapOtter offers AI tools like background removal, image upscaling, and OCR, all running offline, so you can enhance media without internet easily.
You can chain these actions into pipelines—e.g., extract audio, transcribe it, then add subtitles—letting a single batch produce a ready‐to‐publish video for your project today.
GITHUB SNAPSHOT
Recorded counts, not a growth rate or a quality score.
OBSERVED STAR HISTORY
Daily source snapshots are collected automatically. A trend appears after at least two real observations—no invented historical growth.

FROM THE PROJECT
Source excerpts from the project's README. Not an independent review, verification or security audit.
Open-source, self-hosted file-processing infrastructure. Convert, compress, OCR, transcribe, strip metadata, and run local AI across image, video, audio, PDF, and documents, through a UI, REST API, and pipelines. Your files never leave your network. The one self-hosted stack that replaces CloudConvert, Smallpdf, TinyPNG, TinyWow, and Otter.ai. 200+ tools across five modalities, on hardware you own.
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.
One command, that's it.
docker run -d --name SnapOtter -p 1349:1349 -v SnapOtter-data:/data snapotter/snapotter:latest
Open http://localhost:1349 and log in with admin / admin. That's the whole install.
For the production Compose stack, NVIDIA GPU acceleration, and configuration, see Deployment below.
200+ tools across 5 modalities:
Image (112): 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 17 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 (35): merge, split, compress, convert, protect/unlock, redact, sign, watermark, page numbers, multi-tool page editor, 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: Free layer-based editor with brushes, shapes, adjustments, filters, curves, and keyboard shortcuts. Runs in your browser and 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. Built-in Fast OCR adds about 25 MiB to the official image; the optional accuracy pack installs on demand
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, 20 steps by default (MAX_PIPELINE_STEPS). Import/export as JSON. Batch size is unlimited in the published image and 100 from a source build (MAX_BATCH_SIZE)
REST API: Every tool available via API with API key auth. Interactive docs at /api/docs
Self-hosted: one docker run for 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 them at build time with SNAPOTTER_ANALYTICS=off or at runtime with the in-app admin opt-out (Here's how to do it)
The Quick Start one-liner above is all most people need. 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:
# Requests are served by a role that can only read and write rows. The
# owner connects only during boot, to migrate and to grant.
DATABASE_URL: postgres://${POSTGRES_APP_USER:-snapotter_app}:${POSTGRES_APP_PASSWORD:-snapotter_app}@postgres:5432/${POSTGRES_DB:-snapotter}
DATABASE_MIGRATION_URL: postgres://${POSTGRES_USER:-snapotter}:${POSTGRES_PASSWORD:-snapotter}@postgres:5432/${POSTGRES_DB:-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: ${POSTGRES_USER:-snapotter}
# Change this and POSTGRES_APP_PASSWORD for any non-local deployment.
POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-snapotter}
POSTGRES_DB: ${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, and transcription. OCR deliberately uses the same portable CPU runtime on CPU-only and NVIDIA hosts. 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.
Getting Started
Upgrading from 1.x to 2.0
Configuration
OIDC / SSO
Deployment
Supported Formats
Docker Tags
REST API
AI Engine
Image Engine
Architecture
Database
Developer Guide
Contributing
Translation Guide
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
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 has replaced a paid subscription or two in your workflow, a small sponsorship helps keep it that way:
SnapOtter is free and open source, made possible by the people below.
@kkwpsi · @highb · @CSP-Tom · @dominic427
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.
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