Open source · No nonsense · Self-hosted

The media manager I couldn't find. So I built it.

Every tool was either paywalled, missing something, or one more service to keep alive. Parallax handles the whole job: transcode, deduplicate, rename, subtitle, download. One container, your hardware, no credit card.

Deploy now View on GitHub
Parallax in action — scanning a library, filtering files, and compressing video
Videos

Unlimited power over your video library

Hardware-accelerated video compression, duplicate detection, TMDB-powered renaming, and local subtitle generation.

Library management scan video folders; browse by status, resolution, bitrate, duration; split into sub-libraries; libraries auto-rescan when files change on disk
Compression re-encode to H.264, HEVC, or AV1 via the dedicated Compress page; hardware-accelerated with NVIDIA NVENC and Intel/AMD VA-API, automatically spreading work across every detected GPU when more than one is present; CRF slider with live estimated savings; smart-select by codec (e.g. "non-HEVC"); cancelable bulk job with per-file progress; originals preserved in _originals/
Toolbox bulk file-repair utilities in collapsible tool sections: trim start/end (stream-copy when a keyframe is near the cut point, falls back to hardware-accelerated re-encode otherwise, also multi-GPU aware), audio channel isolation (left/right → stereo), rotate, normalize volume, faststart (move moov atom for web playback), and A/V sync offset; cancelable bulk job with per-file progress; originals preserved in _originals/
Duplicate detection 10 stackable criteria: size, duration, resolution, content date, orientation, bitrate, filename (fuzzy match), byte-hash, perceptual hash (configurable similarity threshold, first-frame/all-frames mode, frames-per-video 4–64), and audio fingerprint; matching runs entirely client-side and recomputes instantly as you toggle criteria — no server round-trip. One background job, "Extract," fills in byte-hash/pHash/audio-fingerprint data for whichever files need it
Cleanup filter and bulk-delete by duration, resolution, FPS, content date, file-added date, file size, orientation, filename (exact or fuzzy), or content detections; all filters stack with invert/exclude support
Identify & Rename turn a folder of badly-named files into a clean Plex/Jellyfin library in one full-width workspace:
Subtitles scan a folder for missing subtitle files; bulk-download best matches or open a Plex-style search dialog; powered by subf2m.co (no account, no daily limit, multi-language); multiple subtitle tracks shown in the Plyr player with a language picker
Images

Your image library, actually searchable

Thumbnail grid, perceptual deduplication, and search by describing what you're looking for. All on your machine. No cloud. No data harvested.

Library management scan image folders with automatic thumbnail generation; browse and filter your collection; libraries auto-rescan when files change on disk
Duplicate detection find duplicate images by perceptual hash with configurable similarity threshold
Content review filter by content detections, file size, orientation, dates, or "no detections at all"; bulk quarantine flagged images; restore or permanently delete from quarantine
AI

Smart features with no cloud and no strings

Content search and detection via local-only and offline AI models that run on any hardware.

Content detectionflag inappropriate content with configurable confidence thresholds; review, quarantine, or bulk-delete flagged files; runs CPU-only, in an isolated subprocess, batch size tunable per your hardware
Downloads

Download anything.

yt-dlp integration with quality control, codec selection, browser impersonation, ephemeral cookies, trimming, and live progress.

yt-dlp integration paste one or more URLs and queue downloads with live progress; supports YouTube, Vimeo, Twitch, and thousands of other sites
Quality & codec control choose resolution (Best/4K/1080p/720p/480p/360p) and codec preference (Auto/H.264/H.265/AV1/VP9); quality-first fallback so codec degrades gracefully before resolution does
Audio mode extract audio-only in mp3/m4a/opus
Browser impersonation one-click enable with a dropdown of available targets from the installed binary; requires curl-cffi (included in the yt-dlp_linux standalone binary)
Cookies paste Netscape-format cookies for session-only auth (age-restricted and logged-in content); ephemeral, never written to disk
Trimming download a clip by setting start/end timestamps
Subtitles optionally download subtitle files alongside the video
yt-dlp management install/update from Settings → Downloads; stable or nightly channel; binary lives in the data volume and persists across rebuilds; quick Update button on the Downloads page shows current version
Download history persists across restarts; clear from list (file kept) or delete with file (shift-click skips confirm)
Playback completed downloads play in the built-in Plyr player with subtitle support
Deploy

One container. Runs everywhere.

One image, CPU-only out of the box. Pass a GPU through and it picks up hardware transcode automatically.


NVIDIA
latest

Same image, pass --gpus all — NVENC hardware transcoding, auto-spread across every GPU on the host.

AMD
latest

Same image, mount /dev/dri — VA-API hardware transcoding.

CPU
latest

Same image, no extra flags — runs out of the box, no GPU required.


Full deploy docs →
NVIDIA
AMD
CPU
# NVIDIA — requires nvidia-container-toolkit. Same image as CPU.
services:
  parallax:
    image: ghcr.io/raslan/parallax:latest
    ports: ["7899:7899"]
    volumes:
      - ./data:/app/data
      - /your/media:/media
    restart: unless-stopped
    deploy:
      resources:
        reservations:
          devices:
            - {driver: nvidia, count: all, capabilities: [gpu, video]}
# AMD — VA-API via /dev/dri. Same image as CPU.
services:
  parallax:
    image: ghcr.io/raslan/parallax:latest
    ports: ["7899:7899"]
    volumes:
      - ./data:/app/data
      - /your/media:/media
    restart: unless-stopped
    devices:
      - /dev/dri:/dev/dri
    group_add: [video]
# CPU — no GPU required
services:
  parallax:
    image: ghcr.io/raslan/parallax:latest
    ports: ["7899:7899"]
    volumes:
      - ./data:/app/data
      - /your/media:/media
    restart: unless-stopped
Windows

Even on Windows

Docker Desktop handles the runtime. Same compose file as Linux. No installer wizard, no license key, no trial period.


NVIDIA
latest

Install Docker Desktop, then update your NVIDIA GPU driver (521+). WSL 2 includes NVENC support — no separate toolkit required.

AMD
latest

VA-API device passthrough isn't available under WSL 2. Same image still runs fine, just CPU-only — no hardware video encoding on this path.

CPU
latest

Works out of the box with Docker Desktop.

NVIDIA
CPU / AMD
# Windows — Docker Desktop + NVIDIA driver 521+. Same image as CPU.
# No NVIDIA Container Toolkit needed on Windows
services:
  parallax:
    image: ghcr.io/raslan/parallax:latest
    ports: ["7899:7899"]
    volumes:
      - ./data:/app/data
      - C:/your/media:/media
    restart: unless-stopped
    deploy:
      resources:
        reservations:
          devices:
            - {driver: nvidia, count: all, capabilities: [gpu, video]}
# Windows — Docker Desktop, CPU only
# AMD GPU acceleration not supported on Windows/WSL 2
services:
  parallax:
    image: ghcr.io/raslan/parallax:latest
    ports: ["7899:7899"]
    volumes:
      - ./data:/app/data
      - C:/your/media:/media
    restart: unless-stopped