On-device models
Acoustic and translation models tuned for mobile chipsets and battery budgets.
Memory and live translation, running on the phone itself. No cloud, no per-call bill.
Capture commitments and details from everyday conversations as local transcripts.
Recognize, translate and speak across languages during calls.
Turn the phone into an interpreter for in-person conversations.
Connect context to reminders and timely suggestions.
Acoustic and translation models tuned for mobile chipsets and battery budgets.
Low-power capture and on-device transcription as the foundation for memory and assistance.
Speech recognition, translation and synthesis in one on-device chain.
Estimated on a smartphone: 180 mAh incremental battery use over 12 hours, based on 15 mAh per hour. Reference setup: MTK9600, continuous speech playback; transcription once per minute.
The SDK provides acoustic front-end, VAD, ASR, MT and TTS. Understanding and assistance are built in your product. If the device has a low-power processor (e.g. SCP), VAD can run there around the clock in about 200 KiB of memory.
Illustrative architecture. Where processing runs is evaluated per device and configuration.
Start with your phone’s chipset, audio path, languages and power budget. Then create an application, download the SDK and validate latency, power and memory on your own hardware.
Developer documentation ↗