AiHuman
Deepbrain AI Avatar Solution is an advanced AI tool designed to mimic the appearance, sound and familiarity of a real person to enhance customer engagement. It ...
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What is AiHuman?
AI Human by DeepBrain is a platform that creates hyper-realistic digital avatars (AI Humans) that can speak, gesture, and interact in real time to serve as virtual presenters, customer-facing agents, tutors, or brand spokespeople. The service combines trained facial expressions, voice modeling, and multimodal NLU to produce conversational, lip-synced video outputs that work on web, mobile, and metaverse platforms. It offers both a SaaS studio for text-to-video and template-driven content creation and an SDK/API (AIPlayer) for embedding live, interactive AI Humans into custom apps and web pages. Target users include media companies, corporate training teams, e-commerce and retail customer-support operations, broadcasters, educators, and developers who need scalable, 24/7 humanlike digital presenters for content production or conversational services.
AiHuman pricing
Pricing model: Paid
The website shows tiered SaaS and SDK offerings: a free/trial tier is available for getting started with limited access to AI Studios and pre-built avatars, while paid plans unlock higher usage, commercial licensing, more realistic/custom avatar creation, team/workspace features, and API/SDK access for production deployment. Enterprise pricing and bespoke licensing (including custom-trained AI Humans, dedicated SLAs, and on-prem or private-cloud arrangements) are available upon contact; usage-based billing applies for large-scale streaming or API calls. (Exact numeric plan names and monthly fees are presented in the site dashboard or via sales; advanced features such as custom avatar training, high-volume API calls, and dedicated support are part of paid tiers.)
AiHuman pros
- Real-time conversational AI Human capable of live interaction
- High-fidelity facial expression and gesture synthesis
- Voice cloned/trained voices that sound natural and lip-synced
- Multilingual model support (English, Korean, Japanese, Chinese and more)
- SDK (AIPlayer) for embedding AI Human in web and mobile apps
- SaaS AI Studio for rapid text-to-video and template-driven creation
- Support for both conversational and non-conversational video workflows
- Works across web, mobile and metaverse environments
- Pre-built gallery of realistic digital avatars to choose from
- Video Translation and multilingual output features
- Teams & Workspaces for collaborative projects
- Scalable cloud infrastructure for production-grade use
- APIs for integration with existing systems and pipelines
- Subtitle and accessibility options for delivered videos
- Low-latency streaming suitable for near-real-time conversations
- Template library for social and broadcast formats
AiHuman cons
- Fine-grained emotional nuance can still be less natural than real humans
- Regional dialects and slang may be imperfectly rendered by voices
- Creating a custom-trained AI Human requires recorded source material and preparation
- Loading resources for AIPlayer may take several minutes depending on network
- Some advanced integration needs developer work using SDK/APIs
- High-end real-time use at scale may incur significant cloud costs
- Template-driven workflows can constrain highly creative formats
- Regulatory or copyright concerns when cloning real persons
Frequently asked questions about AiHuman
What is AI Human and how does it differ from standard TTS avatars?
AI Human is DeepBrain’s multimodal avatar platform that trains not just voice but facial expressions and gestures from a real person so the output is lip-synced, natural, and expressive rather than a TTS voice over a static puppet; it uses NLU for conversational flows and an AIPlayer SDK for real-time display and interaction.
Which languages does AI Human support?
AI Human provides ready models for English, Korean, Japanese, and Chinese and can support additional languages and localized voices through the platform’s model options and custom training workflows.
Can I deploy AI Human on my website or mobile app?
Yes — the AIPlayer SDK and web SDK let you embed trained AI Human models into web and mobile applications for interactive, real-time conversations or pre-rendered videos; the documentation includes getting-started guides and examples for integration.
How do I create a custom AI Human that resembles a real person?
Creating a custom AI Human requires source recordings and video of the target presenter so DeepBrain’s training pipeline can model voice, facial expressions, and gestures; this is typically offered as a paid/custom service and includes consent and legal checks for likeness use.
Is there a free tier or trial available?
The platform offers a free/trial tier to explore AI Studios and pre-built avatars with limited usage so users can test text-to-video and the editor; production features, custom avatar training, and higher usage require upgraded paid plans.
What output formats and delivery channels are supported?
AI Human supports rendered video outputs suitable for social platforms and broadcast templates, real-time streaming via AIPlayer for live conversational use, and embeddable web/mobile players for site or app deployment, plus subtitle and translation-ready outputs.
Does AI Human support real-time, two-way conversations?
Yes — the conversational AI capabilities combined with the AIPlayer enable near-real-time back-and-forth interactions driven by NLU, enabling use cases like virtual agents, tutors, and live presenters with low-latency audio and visual responses.
How does the platform handle data privacy and consent for cloned voices or likenesses?
DeepBrain requires recorded source material and appropriate consent for creating custom-trained AI Humans and typically handles licensing and legal compliance as part of custom avatar creation and enterprise engagements; specifics are handled during onboarding and contract discussions.
What developer tools and documentation are available?
DeepBrain provides SDKs (web, Android, iOS), API documentation, and developer guides (including AIPlayer setup and examples) in its docs site to help engineers integrate AI Humans into applications and manage resources and playback.
What limits or latency should I expect when using AIPlayer?
AIPlayer may require several minutes to load model resources depending on network conditions, and while optimized for low-latency conversational streaming, real-world latency and throughput depend on chosen plan, infrastructure, and geographic distribution of cloud resources.