DeepL
Real-time translation
Translating the Oxford Dictionary took 39s. A 72-GPU supercomputer cut that to 3.7s, enabling real-time voice translation.
- Web translation time cut from 193 days to 18 days
- Dictionary translation cut from 39s to 3.7s
Legacy systems struggled to translate diverse global dialects. Now, AI delivers millisecond-latency voice translations worldwide.
A global leader in real-time audio and video communication technology supporting cross-border interactions across 80 countries.
Traditional speech recognition systems struggled to deliver accurate real-time translations across diverse global languages and dialects. Meanwhile,...
“We will continue partnering with Microsoft AI portfolio to explore more possibilities in real-time engagement. From large-model-powered intelligent voice interactions to seamless communication experiences in global scenarios, we look forward to working with Microsoft to bring more surprises and breakthroughs to the world.”
Real-time engagement platform providing voice, video, and chat APIs for developers.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Translating the Oxford Dictionary took 39s. A 72-GPU supercomputer cut that to 3.7s, enabling real-time voice translation.
Updating courses meant recalling speakers to re-record. Now, editors type text for AI voice clones to generate audio instantly.
Manual edits on complex pairs held back delivery. Claude now handles nuance, making 80% of translations publish-ready.
Translating the Oxford Dictionary took 39s. A 72-GPU supercomputer cut that to 3.7s, enabling real-time voice translation.
Updating courses meant recalling speakers to re-record. Now, editors type text for AI voice clones to generate audio instantly.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Legacy systems struggled to translate diverse global dialects. Now, AI delivers millisecond-latency voice translations worldwide.
A global leader in real-time audio and video communication technology supporting cross-border interactions across 80 countries.
Traditional speech recognition systems struggled to deliver accurate real-time translations across diverse global languages and dialects. Meanwhile,...
“We will continue partnering with Microsoft AI portfolio to explore more possibilities in real-time engagement. From large-model-powered intelligent voice interactions to seamless communication experiences in global scenarios, we look forward to working with Microsoft to bring more surprises and breakthroughs to the world.”
Real-time engagement platform providing voice, video, and chat APIs for developers.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Translating the Oxford Dictionary took 39s. A 72-GPU supercomputer cut that to 3.7s, enabling real-time voice translation.
Updating courses meant recalling speakers to re-record. Now, editors type text for AI voice clones to generate audio instantly.
Manual edits on complex pairs held back delivery. Claude now handles nuance, making 80% of translations publish-ready.
Translating the Oxford Dictionary took 39s. A 72-GPU supercomputer cut that to 3.7s, enabling real-time voice translation.
Updating courses meant recalling speakers to re-record. Now, editors type text for AI voice clones to generate audio instantly.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.