Video
moviepy
Video editing with Python
★ 14,9 Tsd. SterneMIT
Anleitung ansehen →Deep-Live-Cam ist ein Open-Source-Projekt aus der Kategorie Video von hacksider (hacksider/Deep-Live-Cam auf GitHub). Es hat 96.908 Sterne auf GitHub und 14.119 Forks, wird unter der Lizenz AGPL-3.0 veröffentlicht und wurde zuletzt am 26. September 2026 auf GitHub aktualisiert.
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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Die anderen Projekte der Kategorie Video mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls Deep-Live-Cam nicht das Richtige ist.
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Verwandte Projekte der Kategorie Video im Katalog, die Deep-Live-Cam bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
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Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.