Vídeo
UForm
Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaV…
★ 1,3 mil estrelasApache-2.0
Ver o guia →moviepy é um projeto de vídeo de código aberto de Zulko (Zulko/moviepy no GitHub). Tem 14.945 estrelas no GitHub e 2.114 forks, é publicado sob a licença MIT e foi atualizado pela última vez no GitHub em 26 de agosto de 2026.
Video editing with Python
Generation, editing, conversion, or capture — match the tool to the job; most of these do one stage brilliantly.
Desktop builds, Docker images, and package-manager installs cover every major OS.
Drop in clips, images, or audio; AI tools may need a model download on first run.
Render to standard formats (MP4, WebM, GIF) ready for any platform.
Built on Python, so it plugs into the wider data and ML tooling ecosystem.
Handles video end to end — ingest, process, and export.
Timelines, keyframes, and effects that rival paid suites.
Text-to-video and image-to-video models turn prompts into motion.
FFmpeg-grade codec support handles whatever you throw at it.
Your footage never uploads anywhere; render on your own GPU.
Download the source and move into the project folder.
git clone https://github.com/Zulko/moviepy.git
cd moviepyEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at Zulko/moviepy with 2,114 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — use it commercially, no strings attached.
MP4/H.264, WebM, ProRes, and image sequences are the common denominators — check each tool's docs.
AI generation benefits hugely from one; editors and converters run fine on modest hardware.
Yes — exports carry no watermark and the open licenses let you monetize your work.
Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaV…
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Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.