Open Source Alternatives to D-ID
12 open source AI Video Generation options similar to D-ID, ranked by named competitors first, sector overlap, and our 0-100 AI-readiness score. Every company listed publishes its source: each one carries an open source sector tag and a public GitHub repository.
VocodeNot ratedOpen-source library for building hyper-realistic voice agents and conversational AI applications.
Open source · Self-hostable
Visual LayerNot ratedAI-powered database for visual data, enabling intelligent search and analysis of images and videos.
Open source · Self-hostable
RasaNot ratedOpen-source conversational AI platform for building custom chatbots and virtual assistants.
Open source · Self-hostable
KyutaiNot ratedA non-profit AI research lab focused on open science and developing advanced multimodal and voice AI models.
Open source · Self-hostable
z.aiNot ratedDeveloping advanced AI models with a focus on reducing hallucinations, including large language models, vision language models, and text-to-video models.
Open source
ClearMLNot ratedOpen-source, end-to-end MLOps platform for enterprise AI development and deployment.
Open source · Self-hostable
Comfy OrgNot ratedComfy is an AI creation engine for visual professionals, offering granular control over AI models, parameters, and outputs through a node-based workflow on an infinite canvas.
Open source
cal.comNot ratedOpen-source scheduling infrastructure for individuals, businesses, and developers.
Open source · Self-hostable
KantuNot ratedOpen-source browser extension and RPA software for automating web and desktop workflows.
Open source · Self-hostable
MagnitudeNot ratedOpen-source, vision-first browser agent for natural language control and web task automation.
Open source · Self-hostable
CuaNot ratedCua provides an open-source framework and cloud desktops for AI agents to control operating systems and desktop applications across Linux, Windows, macOS, and Android.
Open source
ParlantNot ratedParlant is an open-source conversational AI engine dedicated to solving the Human/AI alignment problem by enabling Large Language Models to reliably perform as desired and prevent hallucinations.
Open source · Self-hostable

