How Real-Time AI Translation Works
Speak in any language — hear your own
InterMind is a multi-user video conferencing platform with instant, bidirectional interpretation. Each participant can speak in their own native language — at any time — and hear everyone else in their chosen language.
No need to wait for turns or rely on subtitles.
Real-time translation powered by deep context
Behind the scenes:
- Speech-to-text: Every voice input is transcribed live.
- Neural translation: Transcripts are translated into your native language — with tone and intent preserved.
- Voice synthesis: The translated message is spoken in real time, using your voice settings.
All this happens with a latency under 3 seconds — equivalent to a human simultaneous interpreter[1] [2].
Better than human — and improving every day
InterMind enables seamless integration with leading LLM providers — selected based on your chosen privacy region. We don’t train our own models, but we fine-tune interpretation settings using real-world multilingual meetings to ensure relevance and clarity.
Deep memory = deep understanding
Unlike generic translators, InterMind remembers your meetings:
- Context of prior conversations
- Agendas, participants, project-specific terms
- Outcomes, tasks, and decisions
Your AI interpreter evolves with your team. It understands not just the language — but the topic, project, and personalities involved.
Confidentiality is always your choice.
Privacy by Design
Use Region-Segmented Privacy Architecture to decide where and how your data is processed.
- Turn memory on/off at any time
- Wipe AI memory after meetings
- Select privacy zones (US, EU, Asia) for regulatory compliance
All audio/video routing is handled by our proprietary Mind API, built in-house to ensure performance and data sovereignty.
Industry benchmark for real-time human interpretation latency is ~2–3 seconds. ↩︎
Based on current progress in AI interpretation, we expect that within 2–3 years, models will consistently outperform top-tier human interpreters — including in specialized domains like law, finance, healthcare, and engineering. ↩︎