Price: ₹6,999 - ₹1,099.00
(as of May 09, 2024 23:26:22 UTC – Details)
From the manufacturer
The big display
1 1.96″ Display 2 2.5D Premium Curve 3 550 Nits Brightness
TruSync enabled calling
1 TruSync 2 Single chip BT 3 BT version 5.3
Smart DND
Enjoy an undisturbed snooze with a smartwatch that automatically detects when you are asleep and activates its ‘Do Not Disturb’ (DND) mode, disabling alerts and notifications.
Multiple menu view
Make your smartwatch as unique as you. Choose from a wide range of menu view options and choose the one that you vibe with.
Noise Health Suite
1 NoiseFit App: Health 2 NoiseFit App: Rewards
1.96″ TFT display: Immerse yourself in a truly exceptional smartwatch experience with a larger and improved display that boasts a thinner bezel, delivering an unmatched visual experience
7-day battery: Whether you’re on the go or at home, stay connected to the world without the need for constant charging
NoiseFit app: Take charge of your fitness goals with the NoiseFit app – track your activity, complete challenges, compete with friends, and earn exclusive rewards and offers
Features to love: The smartwatch is equipped with advanced Bluetooth calling, powered by Tru SyncTM, which offers a superior calling experience. It also features a smart DND function that detects your sleep and disables notifications and alerts accordingly, ensuring uninterrupted rest. The smartwatch comes with a 2.5 D curved display that adds a touch of sophistication to your style
What’s in the box: ColorFit Pulse 3 smartwatch, charger, warranty card, and a user manual
The watch is not a replacement for a medical device. The readings can have error margins
Customers say
Customers like the sound quality, appearance, value, and features of the wearable computer. For example, they mention it packs a punch with its powerful bass output, provides a range of functionalities typically found in higher-end smartwatches, and is comfortable to wear. That said, some disagree on call quality, battery life, and performance.
AI-generated from the text of customer reviews