Home > Electronic Foreign Language Translators > Timekettle M3 Language Translator Earbuds, Two-Way Translator Device with APP for 40 Languages and 13 Offline Translation Packs, Fast Reaction with Revolutionary Al Semantic Tech (Offline Version) ; Visit the Timekettle Store
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The device needs a Bluetooth connection to run the app, which requires location services or a Timekettle device. I assume my personal data is being sent to Timekettle in China.
61% found the display and interface user-friendly, while 39% found it cluttered
The language ear bud performs well in translating among various languages.
The volume of this translator is too low.
I tried a video call with them and was disappointed with the experience. I had to turn them off and use a different method to communicate.
Rephrased:
I was disappointed with the video call experience with them and had to switch to a different communication method.
77% liked the sound quality, but 23% found it very low
The sound quality is good, but there is no noise isolation.
The sound is clear and audible, although it can be loud at times. Other people may notice it, but that's not always the case.
The sound quality is average.
The quality of music sound is fine, but it could be better.
When I tried to have my daughter listen in on our conversation with people in Japanese, the translator was only accurate for 25% of the conversation and the rest was complete jibberish.
65% praised the accurate translations, while 35% encountered issues
Real-time translation is highly accurate and supports a wide range of languages, making communication easy in different countries.
The translator is fast, easy, accurate and free.
Openai_error
The translator does not pick up speech fast enough and does not translate quickly between sentences, even with short pause settings, in both WiFi and offline modes.
The translator buds work well in Airplane mode and Bluetooth and WiFi connectivity and functionality remain active while cellular antennas are turned off.
I found the device to be not useful with mostly wrong voice recognition and interpretation.
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