Audivize
Audivize provides real-time conversation transcription with automatic speaker identification and face-linked subtitles overlaid directly on the live camera feed, highlighting the current speaker. Designed with the deaf and hard-of-hearing community, the platform remembers speakers across conversations and supports voice samples for personalized recognition. The company is currently operating a waitlist for early access.
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Deaf and hard-of-hearing individuals face significant barriers in live conversations, as traditional transcription tools lack speaker identification and cannot visually connect spoken words to the person speaking. This makes group discussions and meetings difficult to follow, especially in fast-paced or multi-person settings where knowing who said what is essential for full participation.
Solution
Audivize transcribes conversations in real time and automatically overlays live subtitles directly on the camera feed, with a visual highlight around the current speaker's face. The platform separates transcription by speaker and can remember speakers across conversations, allowing users to assign names or provide voice samples for future recognition. Words appear instantly with low latency, keeping pace with natural conversation rhythm. Audivize was designed from the ground up alongside the deaf and hard-of-hearing community, ensuring the experience addresses real communication needs rather than adapting hearing-centric tools.
Target Audience
Primary users are deaf and hard-of-hearing individuals who participate in live conversations, video calls, and group meetings where following who is speaking is critical to comprehension.
Features
- Real-time transcription with low-latency word rendering that follows natural conversation pace
- Automatic speaker separation and cross-conversation speaker memory for consistent identification
- Face-linked subtitles displayed on the live camera feed with a highlight around the active speaker
- Voice sample and name registration to enable personalized speaker recognition in future conversations