OmniGet vs yt-dlp

OmniGet is a free, open-source (GPL-3.0) desktop app that runs yt-dlp for you. Timed on September 27, 2026 on a 37 Mbps line, OmniGet 0.10.1 and yt-dlp 2026.08.19 took the same time on a 372 MB file and a 488 MB HLS stream, yt-dlp was faster on a 1080p YouTube video (39.1 s against 47.5 s), and OmniGet downloaded all 7 free test items against 6.

Measured September 27, 2026 206.9k stars Latest release 2026.10.26 – views yt-dlp on GitHub

Loop, the OmniGet mascot, gives a thumbs up at a control desk while a friendly engine robot with the yt-dlp logo on its screen turns a crank that sends film reels, music notes and folders through a clear pipe into Loop's green toolbox.

Short answer

Speed is a tie on large files: both filled the line, 79 s against 80 s on a 372 MB file and 112 s against 113 s on a 488 MB stream. On a 1080p YouTube video yt-dlp alone was faster, 39.1 s against 47.5 s, because OmniGet 0.10.1 reads the video page three times; the next release reads it once. The OmniGet app got all 7 free test items right, yt-dlp as installed 6 (a YouTube 403 midway through a download). yt-dlp is lighter, 84 MB of memory against 258 MB, and it is the tool for scripts and servers. OmniGet is the one for people who want a window, a queue, torrents and an extension.

Pros and cons, side by side

Written from our study of each app's repository and releases. Every row names the better app, including when it is not OmniGet.

2OmniGet
1Tie
3yt-dlp
What mattersOmniGetyt-dlp
Speed on large files 79.1 s for 372 MB, 111.8 s for a 488 MB HLS stream 80.2 s and 112.9 s; the same line speed
Speed on a YouTube video 47.5 s for 1080p: 0.10.1 reads the video page three times 39.1 s as installed, 35.2 s with -N 8 and aria2c
Getting started Paste a link, pick a quality; yt-dlp, ffmpeg and a JavaScript runtime set up for you Terminal flags; you install ffmpeg and deno yourself
Sites and sources yt-dlp sites plus own extractors, torrents, segmented direct files, image galleries Its extractors plus a fallback for direct media links
Scripts and servers Settings, rules per channel, an MCP server for agents Output templates, download archive, exec hooks, plugins, Python API, headless
Memory and footprint 258 MB at peak; 44 MB macOS download (Apple Silicon) 84 MB at peak; 37 MB macOS binary, 3 MB with your own Python

OmniGet wins 2, yt-dlp wins 3, 1 tied

Download speed

1080p video from YouTube (135 MB), as installed Lower is better · s
  1. yt-dlp 39.1 s
  2. OmniGet 47.5 s

Median of 5 rounds. yt-dlp with -N 8 and aria2c took 35.2 s.

Direct file from download.blender.org (372 MB) Lower is better · s
  1. OmniGet 79.1 s
  2. yt-dlp 80.2 s

Both ran at the speed of the line; the gap is inside the spread between rounds.

HLS stream at 1080p (488 MB) Lower is better · s
  1. OmniGet 111.8 s
  2. yt-dlp 112.9 s

Same line speed for both; a tie.

What each app can do

OmniGetyt-dlp
Playlists and channels YesYes
Subtitles YesYes
Audio only YesYes
Choose quality and format YesYes
Private and members-only videos (your login) YesYes
Browser extension YesNo
Torrents and magnet links YesNo
Direct file links YesPartly
Queue and parallel downloads YesPartly
Watch channels for new videos YesNo
SponsorBlock, chapters, metadata YesYes
AI agents and MCP YesNo

What the window adds

yt-dlp downloads one link at a time per process and leaves ffmpeg, a JavaScript runtime and the flags to you. OmniGet sets those up, downloads two items at once, retries a failed download up to three times by default, and adds torrents, direct files of any type, followed channels, a browser extension that sends your login cookies, and an MCP server so Claude Code, Cursor or Codex can queue downloads.

Who wins what

  • 1080p video from YouTube (135 MB), as installed

    yt-dlp

    yt-dlp 39.1 s · OmniGet 47.5 s

  • Direct file from download.blender.org (372 MB)

    OmniGet

    OmniGet 79.1 s · yt-dlp 80.2 s

  • HLS stream at 1080p (488 MB)

    OmniGet

    OmniGet 111.8 s · yt-dlp 112.9 s

yt-dlp is the command-line downloader most other apps are built on, OmniGet included. This page compares the engine alone with the same engine inside an app that adds a window, a queue, retries, its own extractors, torrents, a browser extension and an MCP server for AI agents.

Both ran on the same Mac, on the same network, on the same day, with a warm-up round thrown away and five timed rounds in alternating order. The content is free: Blender open movies on YouTube, PeerTube and download.blender.org, a Creative Commons album on the Internet Archive and a public HLS test stream. OmniGet was the published 0.10.1 app, driven through its MCP server. yt-dlp was 2026.08.19 from Homebrew, once as installed and once with the speed flags its README documents, -N 8 and aria2c.

Download size and packages

Free test items downloaded correctly (7 in one pass) Higher is better · %
  1. OmniGet 100 %
  2. yt-dlp 86 %

One pass. yt-dlp's one miss was a YouTube 403 in the middle of the 1080p download; with -N 8 it got all 7. The OmniGet command line hit the same kind of 403 once and missed the subtitles item.

Peak memory while downloading the 1080p video Lower is better · MB
  1. yt-dlp 84.4 MB
  2. OmniGet 258.5 MB

The app's number is its main process plus yt-dlp and ffmpeg; its WebKit window is not counted. Idle, the app used 42.5 MB.

Peak CPU while downloading the 1080p video (100% = one core) Lower is better · %
  1. yt-dlp 36.1 %
  2. OmniGet 108.8 %

Seen enough? Get OmniGet for your system.

Free · no account · 64 MB · .exe

OmniGet is a desktop app

It runs on Windows, macOS and Linux. There is no Android or iOS version. Send this page to your computer:

Other platforms: Windows macOS Linux

The apps in this benchmark

  • OmniGet

    License:
    GPL-3.0
    Built with:
    Tauri (Rust + web UI)
    GitHub:
    14.4k stars · v0.10.1
    • Its own extractors, torrents and direct files on top of yt-dlp.
    • An MCP server and AI coding agents in the same app.
  • yt-dlp

    License:
    Unlicense
    GitHub:
    206.9k stars · 2026.10.26

Large files: the line is the limit

On the 372 MB direct file and the 488 MB HLS stream every tool took within a few seconds of the others, and the gaps were smaller than the spread between rounds. On a 37 Mbps line one connection is already enough to fill it, so parallel fragments, aria2c and OmniGet's segmented downloader have nothing left to win. On a faster line or a server that limits each connection the result could change; this test does not show that case.

YouTube: why yt-dlp alone was faster

OmniGet 0.10.1 asks yt-dlp for the video details first, runs it again to check which subtitles exist, and only then starts the download, which extracts the page a third time. That costs about eight seconds on a 1080p video and fourteen on a short audio track. OmniGet also embeds the cover and the tags by default, which rewrites the file with ffmpeg. The main branch already reuses the first answer for the download and for the subtitle check; this page will be measured again when that release is out.

Memory and CPU

At the peak OmniGet used 258 MB and about one full core, yt-dlp 84 MB and a third of a core. The extra page reads explain part of it, and the thumbnail and tag embedding the rest. On a small server or an old laptop that difference matters; on a desktop it rarely does.

Which one should you pick?

  • Choose OmniGet if you want to paste a link and get the file, with a queue, automatic retries, torrents, direct files, a browser extension and an MCP server, without learning flags or installing ffmpeg yourself.
  • Choose yt-dlp if you script your downloads, run them on a server, NAS or cron job, need output templates, a download archive or exec hooks, or want the lightest option on any system Python runs on.

Other yt-dlp alternatives

Free, open-source apps that do some of what yt-dlp does.

  • Open-source yt-dlp GUIs compared Every desktop app we track, ordered by GitHub stars, with its license, latest release and who it suits.
  • OmniGet vs ezytdl Electron front end for yt-dlp with advanced options. Compared with OmniGet
  • OmniGet vs Media Downloader Qt/C++ front end for several download engines, including yt-dlp, gallery-dl and aria2c. Compared with OmniGet
  • OmniGet vs SCrawler Windows app that saves media from social sites and user profiles. Compared with OmniGet
  • OmniGet vs Videomass Cross-platform FFmpeg front end for batch conversion with presets; it removed its yt-dlp downloader in version 6.1.12. Compared with OmniGet
  • OmniGet vs Vividl Windows front end for yt-dlp built with WPF. Compared with OmniGet
  • OmniGet vs Hindsight Agent memory system by Vectorize: retain, recall and reflect over a memory bank, as a server with Postgres or embedded in Python. Compared with OmniGet
  • OmniGet vs aria2 Command-line download utility for HTTP, FTP, BitTorrent and Metalink, with many connections per file. Compared with OmniGet
  • OmniGet vs you-get Command-line downloader written in Python that scrapes media from web pages. Compared with OmniGet
  • OmniGet vs youtube-dl The original command-line video downloader that yt-dlp was forked from. Compared with OmniGet
  • OmniGet vs Open Video Downloader Cross-platform yt-dlp front end built with Tauri and Vue, with a very small installer. Compared with OmniGet
  • OmniGet vs Parabolic yt-dlp front end with a native interface: WinUI on Windows and GNOME on Linux, published on Flathub. Compared with OmniGet
  • OmniGet vs VidBee Electron app built on yt-dlp that also makes local transcripts, AI summaries and RSS subscriptions. Compared with OmniGet
  • OmniGet vs ytDownloader Electron yt-dlp app with a clip trimmer and a video compressor, on many app stores. Compared with OmniGet
  • youtube-dl on GitHub The original command-line video downloader that yt-dlp was forked from.
  • Media Downloader on GitHub Qt/C++ front end for several download engines, including yt-dlp, gallery-dl and aria2c.
  • YTSage on GitHub yt-dlp front end written in Python and PySide6, with SponsorBlock and subtitles.

Where OmniGet still loses

We publish this on purpose. It is the list we work from to make OmniGet better.

  • YouTube overhead: OmniGet 0.10.1 has yt-dlp read the video page three times (details, a subtitle check, then the download), so a 1080p video took 47.5 s against 39.1 s, and a 4 MB audio track 18 s against 4 s. The main branch reuses the first read for the other two; it ships in the next release.
  • Memory and CPU: 258 MB and about one full core at the peak, against 84 MB and a third of a core for yt-dlp alone. Part of it is the extra yt-dlp runs and the cover art and tags OmniGet embeds by default.
  • Scripts and servers: no output templates, download archive, exec hooks or config files in the app. yt-dlp runs headless on any machine with Python.
  • Platforms: yt-dlp ships Windows on ARM, 32-bit Windows and Linux musl and ARM builds and runs on BSD through Python; OmniGet has none of those.

Trying OmniGet costs nothing

OmniGet downloads and updates yt-dlp by itself and saves to normal folders, so you can keep using yt-dlp in the terminal and use OmniGet for the rest. Nothing to migrate.

Method

Run it yourself

node scripts/bench/speed.mjs --slug omniget-vs-yt-dlp --tools omniget-app,omniget-cli,yt-dlp,yt-dlp-tuned --rounds 5 --warmup 1 --startup

Sources

Questions

Is OmniGet just a GUI for yt-dlp?
Is OmniGet faster than yt-dlp?
How do I make yt-dlp download faster?
Is yt-dlp safe?
Do I need ffmpeg and deno for yt-dlp?
Why does yt-dlp take so long to start on my Mac?
Is there a yt-dlp alternative that still works on YouTube?

Other benchmarks

Try OmniGet 1.0.0

Free and open source, for Windows, macOS and Linux.

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