MAX4466 Microphone Module

Description The MAX4466 Electret Microphone Amplifier Module is a convenient sensitive audio sensor designed to capture soundwaves and convert them into electrical signals. Capture high-quality audio signals and integrate it into your embedded system devices. This module uses a 20-20KHz electret microphone and a MAX4466 Operational Amplifier IC onboard and has a tiny trimmer potentiometer to adjust the gain from 25x to 125x. It is suitable for voice changers, audio recording and sampling, and audio-reactive projects that use FFT. The output pin is not designed to drive speakers or anything but the smallest in-ear headphones - you'll need an audio amplifier (such as a 3.7W stereo amp) if you want to connect the amp directly to speakers. If you want to make it as a loudness sensor, just connect the OUT pin directly to the microcontroller ADC pin. Key Features

• Built-in Low-Noise Amplifier: Uses the MAX4466 op-amp for clean, high-fidelity signal amplification.
• Adjustable Gain: Onboard potentiometer allows easy gain control (25x to 125x).
• Analog Output: Smooth signal perfect for audio sampling with microcontrollers.
• High Sensitivity: Captures even quiet sounds with excellent clarity.
• Compact and Breadboard-Friendly: Easy to integrate into any project setup.
• 3V and 5V Compatible: Works seamlessly with Arduino, Raspberry Pi, ESP32, and other development boards.
• Rail-to-Rail Outputs.

Technical Specifications

• Power Supply Voltage: 2.4V – 5.5V DC
• Input Current:24µA
• Output: Analog (AC-coupled)
• Gain Range: Adjustable from 25x to 125x via onboard trimmer
• Gain Bandwidth Product:600KHz
• Gain Margin:20dB
• Excellent Power-Supply Rejection Ratio:
• Excellent Common-Mode Rejection Ratio:
• High AVOL:125dB (RL = 100kΩ)
• Frequency Response: 20Hz – 20kHz (typical for voice and general audio)
• Microphone Type: Electret condenser
• Dimensions: 20.8mm x 13.8mm x 7.5mm
• Weight:8g

Applications

• Voice recognition and voice-activated systems
• Audio recording and sampling systems
• DIY smart assistants and IoT devices
• Wearable audio sensing and noise detection
• Hearing Aids