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Key Features

✅ Ultra-Compact Design – Just 18mm × 20mm (smaller than a coin). ✅ ESP32-S3 Dual-Core CPU – 240MHz Xtensa LX7 (with vector instructions). ✅ Wireless Connectivity – Wi-Fi 4 (802.11 b/g/n) + Bluetooth 5.0 LE. ✅ USB OTG & Type-C Support – Acts as USB device/host (no external USB-UART needed). ✅ Low Power Consumption – Deep sleep mode <10μA (ideal for battery projects). ✅ Rich I/O Options – GPIO, SPI, I2C, UART, PWM, ADC, DAC, RMT (IR control). ✅ Onboard Antenna & 4MB Flash – No external components needed. ✅ Arduino & MicroPython Support – Easy firmware development.

Technical Specifications

MCU: ESP32-S3 (Dual-core Xtensa LX7 @ 240MHz, 512KB SRAM).
Wireless:
- Wi-Fi 4 (802.11 b/g/n).
- Bluetooth 5.0 LE (Mesh support).
USB: Type-C (USB OTG) – Can act as HID (keyboard/mouse) or CDC.
Memory: 4MB Flash (some variants have 8MB).
GPIOs: 15+ usable pins (limited due to size).
Analog Inputs: 6x 12-bit ADC, 2x 8-bit DAC.
Power Supply: 3.3V logic (USB-powered or external 3.3V-5V).
Dimensions: 18mm × 20mm (smallest ESP32-S3 board available).

Why Choose the ESP32-S3 Zero Mini?

✔ Tiniest ESP32-S3 Board – Fits in ultra-compact projects. ✔ USB OTG Built-In – No extra USB-UART chip needed. ✔ Bluetooth 5.0 LE + Wi-Fi – Better range & throughput than ESP8266/ESP32-C3. ✔ Arduino & MicroPython – Beginner-friendly development.

Applications

🔹 Wearable Devices (Smartwatches, fitness trackers). 🔹 IoT Sensors (Wireless data logging). 🔹 USB HID Projects (Keyboard/mouse emulation). 🔹 Miniature Bluetooth/Wi-Fi Controllers. 🔹 Embedded AI (TinyML) – Supports TensorFlow Lite.