Vídeo
moviepy
Video editing with Python
★ 14,9k estrellasMIT
Ver la guía →Deep-Live-Cam es un proyecto de vídeo de código abierto de hacksider (hacksider/Deep-Live-Cam en GitHub). Tiene 96.908 estrellas en GitHub y 14.119 bifurcaciones, se publica bajo la licencia AGPL-3.0 y se actualizó por última vez en GitHub el 26 de septiembre de 2026.
real time face swap and one-click video deepfake with only a single image
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.
Exports are clean — what you make is yours, with no branding tax.
Standard containers and codecs — no lock-in, no proprietary projects.
Hardware encoding and CUDA/Metal paths keep renders fast.
Scriptable pipelines chew through folders of clips unattended.
Timelines, keyframes, and effects that rival paid suites.
Text-to-video and image-to-video models turn prompts into motion.
Download the source and move into the project folder.
git clone https://github.com/hacksider/Deep-Live-Cam.git
cd Deep-Live-CamEvery 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 commandDubbing is the neighbouring craft to face work: PersoDub is an open-source alternative to ElevenLabs, HeyGen and Rask AI for AI video dubbing. SnapX captures and record your screen, then share instantly — free and open source. For a different angle on this shelf, DataMagic uploads a table, get a narrated animated data story.
It is an open-source project at hacksider/Deep-Live-Cam with 14,119 forks. Check the repo's contributors and recent commits to see how active maintenance is.
AGPL-3.0 — free to use, including over a network, with source-sharing obligations.
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.
For most creator workflows, yes. High-end collaborative post-production still favors the big suites.
Video editing with Python
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Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.