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MAX4466 Microphone Preamplifier Module — Adjustable Gain

MAX4466 Microphone Preamplifier Module Adjustable Gain

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MAX4466 Microphone Preamplifier Module — Adjustable Gain

The MAX4466 microphone preamplifier module features an electret microphone and a MAX4466 op-amp preamplifier with adjustable gain (25× to 125× via on-board trimmer). Outputs an analog audio signal centered at VCC/2 — connect directly to an Arduino analog input for sound level detection, voice recording, and audio processing projects.

Key Features

  • Adjustable gain — 25× to 125× via on-board trimmer potentiometer
  • Electret microphone included — no external mic needed
  • Analog output — centered at VCC/2, direct connection to Arduino ADC
  • Low noise — MAX4466 op-amp for clean audio signal
  • 2.4–5.5V supply — compatible with 3.3V and 5V Arduino boards
  • RoHS compliant

Key Specifications

  • IC: MAX4466 | Gain: 25×–125× adjustable
  • Supply: 2.4–5.5V | Output: Analog (VCC/2 centered)

Typical Applications

  • Arduino sound level detection and VU meter
  • Voice-activated trigger and clap detection
  • Audio spectrum analysis with FFT
  • Microphone input for voice recording projects
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MAX4466 Microphone Preamplifier Module — Adjustable Gain

The MAX4466 microphone preamplifier module features an electret microphone and a MAX4466 op-amp preamplifier with adjustable gain (25× to 125× via on-board trimmer). Outputs an analog audio signal centered at VCC/2 — connect directly to an Arduino analog input for sound level detection, voice recording, and audio processing projects.

Key Features

  • Adjustable gain — 25× to 125× via on-board trimmer potentiometer
  • Electret microphone included — no external mic needed
  • Analog output — centered at VCC/2, direct connection to Arduino ADC
  • Low noise — MAX4466 op-amp for clean audio signal
  • 2.4–5.5V supply — compatible with 3.3V and 5V Arduino boards
  • RoHS compliant

Key Specifications

  • IC: MAX4466 | Gain: 25×–125× adjustable
  • Supply: 2.4–5.5V | Output: Analog (VCC/2 centered)

Typical Applications

  • Arduino sound level detection and VU meter
  • Voice-activated trigger and clap detection
  • Audio spectrum analysis with FFT
  • Microphone input for voice recording projects

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