LibreAI / Vídeo / yt-dlp
// video · yt-dlp/yt-dlp

yt-dlp

yt-dlp é um projeto de vídeo de código aberto de yt-dlp (yt-dlp/yt-dlp no GitHub). Tem 195.267 estrelas no GitHub e 16.961 forks, é publicado sob a licença Unlicense e foi atualizado pela última vez no GitHub em 27 de setembro de 2026.

A feature-rich command-line audio/video downloader

★ 195,3 mil estrelas⑂ 17,0 mil forksUnlicenseatualizado set 2026
▦ visual: o README deste projeto não inclui nenhuma captura incorporável,
então aqui vai um marcador. O guia abaixo está completo mesmo assim.
// dados do projeto

Dados do projeto

Repositório
yt-dlp/yt-dlp
Estrelas no GitHub
195.267
Forks
16.961
Licença
Unlicense
Última atualização no GitHub
27 de setembro de 2026
Categoria
Vídeo
Tipo de ficha
Guia de instalação completo
Site oficial
Official site
// como funciona

Como funciona

  1. Pick your task

    Generation, editing, conversion, or capture — match the tool to the job; most of these do one stage brilliantly.

  2. Install it

    Desktop builds, Docker images, and package-manager installs cover every major OS.

  3. Feed it media

    Drop in clips, images, or audio; AI tools may need a model download on first run.

  4. Export and share

    Render to standard formats (MP4, WebM, GIF) ready for any platform.

// recursos

Por que as pessoas gostam tanto

Command-line friendly

Scriptable from the terminal, so it drops straight into existing workflows.

Python ecosystem

Built on Python, so it plugs into the wider data and ML tooling ecosystem.

Format freedom

FFmpeg-grade codec support handles whatever you throw at it.

Runs locally

Your footage never uploads anywhere; render on your own GPU.

No watermarks

Exports are clean — what you make is yours, with no branding tax.

Open formats

Standard containers and codecs — no lock-in, no proprietary projects.

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// execute você mesmo

Execute você mesmo

  1. Step 1 — Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/yt-dlp/yt-dlp.git
    cd yt-dlp
  2. Step 2 — Check the README

    Every project documents its own setup; start with install requirements.

    cat README.md | head -60
  3. Step 3 — Run it

    Follow the project's launch command — Docker, pip, npm, or a binary release.

    # see README for the exact launch command
// casos de uso

O que você pode criar

For a different angle on this shelf, SnapX captures and record your screen, then share instantly — free and open source. Nearby on the same shelf, DataMagic uploads a table, get a narrated animated data story. The Video shelf also holds LiveTalk-Unity — its page carries the full write-up, install steps and GitHub numbers.

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// perguntas frequentes

Perguntas frequentes

Who maintains yt-dlp?

It is an open-source project at yt-dlp/yt-dlp with 16,961 forks. Check the repo's contributors and recent commits to see how active maintenance is.

Is yt-dlp free for commercial use?

Licensed under Unlicense — check the repo for commercial-use terms.

What formats are supported?

MP4/H.264, WebM, ProRes, and image sequences are the common denominators — check each tool's docs.

Do I need a powerful GPU?

AI generation benefits hugely from one; editors and converters run fine on modest hardware.

Is the output really free to use?

Yes — exports carry no watermark and the open licenses let you monetize your work.

// continue explorando

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// alternativas

Alternativas em Vídeo

Os outros projetos de Vídeo com mais estrelas no catálogo do LibreAI — a lista realista de alternativas se yt-dlp não for o ideal para você.

// mais em video

Mais em Vídeo

Projetos de Vídeo próximos no catálogo, os mais próximos em estrelas de yt-dlp: continue explorando dos dois lados dele.

Baixe o yt-dlp

Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.