Wireless Lavalier Microphone, 48-hour Battery Life Displayed Digitally Wireless Microphone Back Clip Magnetic For Phone

Features:

* Intelligent noise reduction technology for ultra-clear audio recording:

Equipped with advanced intelligent algorithms for noise suppression, it effectively filters out background noise, delivering clear and pure recording results. Whether it’s outdoor interviews, speeches, music performances, or conference recordings, high-quality sound can be obtained. With excellent recording sensitivity and frequency response, it captures subtle sound details, making recordings clearer and more realistic.

* Plug and play, no -compatible required:

No complicated installation is required,Plug the microphone into the device’s headphone and you can recording immediately. This plug-and-play design makes more convenient, allowing users to record anytime and anywhere.

* 48-hour super long battery life with digital display:

With a built-in high-capacity battery, it supports up to 48 hours of continuous recording, allowing users to record for long periods without frequent recharging, improving work efficiency.

* Magnetic button design:

A unique feature of this wireless microphone, it can easily be attached to clothing or hats, providing users with a more stable and accurate recording experience.

* Wide compatibility:

This wireless microphone has extensive compatibility and supports for Type-C devices, providing users with more applicability and convenience.Achieving high-quality recording functionality.

Specifications:

Part Name:Lavalier-microfoon

Material:ABS

SizeTX:approx.30*12mm

RX:approx.40*16.5*9mm

Box:approx.75.8*49.8*35mm

Color:Black

Package Content:

Wireless charging case * 1 

Microphone transmitter * 2 

Microphone receiver * 1 

Type-C cable * 1 

Instructions * 1

Note:

1. The real color of the item may be slightly different from the pictures shown on website caused by many factors such as brightness of your monitor and light brightness.
2. Please allow slight manual measurement deviation for the data.