Search query: tlm103
Product: Mercase USB Condenser Microphone Compatible with PC/MAC/Ps4/iPhone/iPad/Android,Computer Mic with Noise Cancelling & Reverb, Studio Microphone for Voice and Music Recording,Podcasting,Streaming,Gaming
Brand: Mercase
Highlights: 🎤【Wide Compatibility】Mercase usb condenser microphone is compatible with Windows, MAC OS and PS4,and the microphone include an Android adapter and an adapter for iPhone,so it also compatible with iPhone/iPad and Android Phone(Type-C Port).We strongly recommend using it on a pc or mac for a better experience(NOTE:Incompatible with Xbox) .
🎤【Ease of Use】No need of any driver software or equipment, just plug it into the USB jack of computer or smartphone,Then plug the 3.5mm headset into the microphone headphone jack. A zero-latency headphone jack on the microphone helps you hear clearly without any distracting delay, and the quick mute functionality is very handy for users, with built-in LED light Indicate the working status.
🎤【Cardioid Pickup &Noise Cancelling】Cardioid microphones can only pick up the sound directly and precisely, and shield the sound from noises. In addition, our product have a noise reduction mode, pressing and holding the "MUTE" button for 3 seconds will makes your recording clearer and more transparent(Note: The product turns on the noise reduction mode by default)
🎤【Excellent Sound Quality】Using professional high speed DSP processing, and with adjustable reverberation function. Whether you’re on a conference call or on a podcast, a MIC connected with USB will help you sound your best. (It is recommended that the ECHO key be adjusted to 40%-50%);the condenser microphone is suited for: podcasting, voice acting, recording Let's Plays, recording voice-overs over a mix/podcast.
🎤【What You Get】Microphone *1,Usb cable(59Inch)*1, Sponge Cover *1,Metal base*1,Type-C adapter *1,adapter for iphone*1,user manul*1; Our usb microphone come with a lifetime warranty.If you have any questions about the microphone, please feel free to contact us, we want to do better!
ESCI relevance label: S