bitHuman

bitHuman is an avatar tool. bitHuman provides real-time, lip-synced AI avatars for LLM and voice agents, with SDKs for iPhone, Android and Python, a web iframe embed, talking-video export and enterprise self-hosting. A character gallery and clip maker let non-developers try it.

bitHuman is a platform for putting a animated, speaking face on top of an LLM or voice agent. Its pitch is "AI with character": a developer supplies the conversation and the audio, and bitHuman renders a lip-synced avatar that reacts in real time. The avatars range from photoreal people to stylized 3D creatures such as a gnome wizard, a small robot and a red panda barista, and a user can also build a character from their own photo. The product has two sides. For casual use, the site hosts a gallery of ready-made characters that can be talked to live, plus a quick clip maker where a typed line is spoken by a chosen character and every result is labelled as an AI character. A connector address also lets ChatGPT or Claude call bitHuman, so a chat assistant can be asked to produce a clip or start a live talk after a one-time setup. For builders, the focus is on-device rendering. The Essence 2 and Expression 2 models run inside the app on iPhone (Swift package), Android (Kotlin) and through a Python SDK, with the code samples showing a loop that feeds audio samples in and pulls rendered frames out. The app keeps responsibility for the conversation, playback and display. Other routes include a web embed through a single iframe, a talking video generated as an MP4 from an audio file, and self-hosted deployment on a company's own servers for enterprise customers, who are directed to a sales contact. Live demos show the range of intended uses: a barista avatar that takes an order and hands off to a phone-scan payment, a pitch deck that presents itself and can be interrupted, and a shopping agent that reads a live product catalog and fills a cart. Compared with hosted video-avatar services that stream rendered video from the cloud, bitHuman leans toward local rendering and SDK control, which suits product teams building companions, kiosks, tutors and sales assistants who want the face inside their own application rather than in a separate widget.