What is DeepLiveCam and what does it do?
DeepLiveCam is Real-time faceswap and deepfake video—fully local, flawless realism for live streaming and events.. DeepLiveCam is a fully local, open-source AI tool specializing in real-time and video face swapping. Key features include AI-powered upscaling, multi-face mapping, advanced mouth masking for realistic lip-syncing, Forehead Adjustment for seamless hairlines, and compatibility with streaming platforms like OBS. The app ensures privacy by working offline with no data collection. Available on Web App, Desktop App, DeepLiveCam is designed to enhance productivity and deliver professional-grade image generation capabilities.
How much does DeepLiveCam cost?
DeepLiveCam offers Subscription pricing options. DeepLiveCam offers a free basic plan with limited features. Premium plans are available on a subscription basis, offering access to advanced filters, background removal, and custom branding options. Pricing is designed to scale with your needs, from individual users to enterprise teams. For the most current pricing details and plan comparisons, visit the official DeepLiveCam pricing page or contact their sales team for custom enterprise quotes.
What platforms does DeepLiveCam support?
DeepLiveCam is available on Web App, Desktop App. The web application provides full functionality directly in your browser without requiring downloads. This multi-platform approach ensures you can use DeepLiveCam wherever and however you work best.
What file formats does DeepLiveCam support?
DeepLiveCam accepts Supports live video streams from webcams, smartphones, and professional cameras. Compatible with major streaming platforms like YouTube, Twitch, and Facebook Live. as input formats, making it compatible with your existing files and workflows. Output is delivered in Delivers enhanced live video streams in real-time to the selected streaming platform. The output can be viewed by audiences in improved quality and with customized visual effects., ensuring compatibility with downstream tools and platforms. This format flexibility allows seamless integration into diverse tech stacks and creative pipelines. Whether you're importing data, exporting results, or chaining multiple tools together, DeepLiveCam handles format conversions efficiently without manual intervention.
Who develops and maintains DeepLiveCam?
DeepLiveCam is developed and maintained by DeepLiveCam, based in United States. Most recently updated in September 2025, the platform remains actively maintained with regular feature releases and bug fixes. This ongoing commitment ensures DeepLiveCam stays competitive and aligned with industry best practices.
How do I get access to DeepLiveCam?
DeepLiveCam is freely available to everyone without registration requirements. You can start using the platform immediately without going through lengthy approval processes.
How is usage measured and billed in DeepLiveCam?
DeepLiveCam uses Per-Minute, Pay-as-You-Go as billing metrics. This usage model ensures you only pay for what you actually use, avoiding unnecessary overhead costs for features you don't need.
What deployment options does DeepLiveCam offer?
DeepLiveCam supports Cloud deployment configurations. Cloud-hosted options provide instant scalability without infrastructure management overhead. Choose the deployment model that best aligns with your technical requirements, security constraints, and operational preferences.
Who is DeepLiveCam best suited for?
DeepLiveCam is primarily designed for Content Creators, Graphic Designers, Marketing Professionals and Product Managers. Creative professionals use it to generate visual content quickly and with precision. Whether you need automation, creative assistance, data analysis, or communication support, DeepLiveCam provides valuable capabilities for multiple use cases and skill levels.
Does DeepLiveCam offer APIs or SDKs?
Yes, DeepLiveCam provides SDK support for Python, JavaScript/TypeScript. This enables developers to integrate the tool's capabilities into custom applications.
Is DeepLiveCam open source?
Yes, DeepLiveCam is open source, meaning the source code is publicly available for inspection, modification, and contribution. This transparency allows developers to verify security practices, customize functionality for specific needs, and contribute improvements back to the community. Open source projects often benefit from rapid innovation and community-driven development. DeepLiveCam maintains the project while welcoming community contributions. You can self-host the solution for complete control over your data and deployment environment.
Does DeepLiveCam receive regular updates?
DeepLiveCam is actively maintained with regular updates to improve features, security, and performance. DeepLiveCam continuously develops the platform based on user feedback and industry advancements. Updates typically include new AI capabilities, interface improvements, bug fixes, and security patches. Staying up-to-date ensures you benefit from the latest AI advancements and best practices in image generation.
What do users say about DeepLiveCam?
DeepLiveCam has received 1 user review with an average rating of 4.0 out of 5 stars. This solid rating indicates the tool meets or exceeds most users' expectations across various use cases. Additionally, DeepLiveCam has received 5 upvotes from the community, indicating strong interest and recommendation. Reading detailed reviews helps you understand real-world performance, common use cases, and potential limitations before committing to the platform.
Is the information about DeepLiveCam up-to-date and verified?
Yes, DeepLiveCam's listing was last verified by our team by our editorial team. We regularly review and update tool information to maintain accuracy. Our verification process checks pricing accuracy, feature availability, platform support, and official links. If you notice outdated information, you can submit corrections through our community contribution system to help keep the directory current and reliable for all users.
How does DeepLiveCam compare to other Image Generation tools?
DeepLiveCam distinguishes itself in the Image Generation category through its comprehensive feature set and professional-grade capabilities. When evaluating options, consider your specific requirements around pricing, features, integrations, and compliance to determine the best fit for your use case.
How difficult is it to learn DeepLiveCam?
The learning curve for DeepLiveCam varies depending on your experience level and use case complexity. Most users report becoming productive within minutes to hours depending on their background. DeepLiveCam balances powerful capabilities with intuitive interfaces to minimize the time from signup to value delivery.
How often is DeepLiveCam updated with new features?
DeepLiveCam was most recently updated in September 2025, indicating regular maintenance and improvements. DeepLiveCam maintains a development roadmap informed by user feedback and market trends. Regular updates typically include performance optimizations, bug fixes, security patches, and new capabilities that expand the tool's functionality. Users can expect continued improvements as the product matures.
Is DeepLiveCam a reliable long-term choice?
When evaluating DeepLiveCam for long-term use, consider several indicators: Development by DeepLiveCam provides organizational backing and accountability. Growing community interest indicates positive momentum. High user satisfaction ratings suggest the platform delivers on its promises. Recent updates demonstrate active maintenance and feature development. The open-source nature reduces vendor lock-in risks and enables community-driven continuity. Consider your specific requirements, budget constraints, and risk tolerance when making long-term platform commitments.
