DUDAO L13C+ USB C Splitter, Dual USB C Headphone and Charger Adapter,2-in-1 Type C Audio with PD Fast Charging Support Call Music for iPhone 16/15/S24/S23 Oppo/Vivo/Oneplus & All Type-C Devices
Price: ₹9,999 - ₹1,499.00
(as of May 05, 2025 21:11:47 UTC – Details)


Product Description

UPT 30WUPT 30W

LISTEN MUSICLISTEN MUSIC

DACDAC

2000+2000+

aluminium Alloyaluminium Alloy

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Realtek DAC Chip: Equipped with a high-quality Realtek DAC chip, this adapter ensures stable and lossless audio signal transmission.Noise-Free Audio: The built-in DAC effectively eliminates current noise, providing a clean and immersive listening experience.
Plug-and-Play Convenience: Simply connect your USB-C headphones to the adapter to enjoy your favorite music without any additional setup.Simultaneous Charging and Audio: You can charge your device while listening to music, making this adapter ideal for multitasking.
PD 30W Support: The adapter supports Power Delivery (PD) charging up to 30 watts, enabling quick and efficient battery replenishment for your USB-C devices. DUDAO Chip: The built-in DUDAO Advance chip ensures stable charging voltage and current, protecting your devices from potential damage.
Wide Compatibility : USB-C Devices: Compatible with a wide range of USB-C devices, including smartphones (e.g., Samsung, Google Pixel, iPhone 16/15), tablets (e.g., iPad Pro),
Premium Build Quality and Warranty: Nylon Braided Cable: The durable nylon braided cable ensures long-lasting performance and resistance to wear and tear. 6-Month Warranty: The adapter comes with an 6-month warranty, providing peace of mind and protection against defects.

Customers say

Customers have mixed opinions about the USB C splitter’s value for money, with some finding it good while others say it’s not worth the cost. Moreover, the functionality receives negative feedback, with multiple customers reporting that the earphone slot doesn’t work. Additionally, the charging speed is problematic, with customers noting that it’s not fast charging.

AI-generated from the text of customer reviews