Generic MINI ESP32-S3 AI Voice Development Board w/ Mic & Speaker
This compact ESP32-S3-N16R8 AIoT development board features a built-in digital microphone, 8Ω speaker, and integrated amplifier, pre-loaded with AI Xiaozhi firmware for rapid prototyping of voice-controlled smart devices and conversational AI applications.
Features
- Powered by the ESP32-S3-N16R8 module with dual-core 32-bit LX7 processors and integrated Wi-Fi & Bluetooth 5 (LE) for AIoT connectivity.
- Integrated voice HMI with a built-in digital microphone and 8Ω mini speaker, driven by an onboard audio amplifier for clear input/output.
- Pre-flashed with AI Xiaozhi conversational firmware, enabling immediate voice command interaction and basic chat functionality out of the box.
- Compact form factor (40x26mm) with USB Type-C for easy programming, debugging, and power supply, ideal for portable voice-controlled projects.
- Includes comprehensive developer resources such as video tutorials and firmware burning tools for rapid customization and deployment.
Out of stock
The MINI ESP32-S3 AI Voice Development Board is a specialized hardware platform designed for embedded AI and voice interaction projects. At its core is the ESP32-S3-N16R8 module, which provides the dual-core processing power, 16MB flash, and 8MB PSRAM necessary for running on-device voice recognition and natural language processing algorithms. The board’s integrated audio chain—comprising a digital MEMS microphone, a dedicated audio amplifier IC, and a small speaker—creates a complete, self-contained voice interface.
This board is engineered for low-latency, real-time voice applications, leveraging the ESP32-S3’s AI extensions and the pre-installed AI Xiaozhi firmware stack. Developers can use it to create standalone voice assistants, smart home control panels, or interactive educational robots without the need for external audio peripherals. The USB Type-C interface facilitates seamless firmware updates via ESP-IDF, Arduino IDE, or MicroPython, allowing for deep customization of wake words, command sets, and network connectivity for cloud integration.
Additional Information
| Weight | 0.01 kg |
|---|---|
| Dimensions | 4 × 2.6 cm |














