Updated: November, 2025

Best voice recognitions

1

Nuance

9.9

Exceptional

Dragon Professional 16.0 Speech Dictation and Voice Recognition Software [PC Download]

Why we love it

Dictates three times faster than typing.

High accuracy at 99% from first use.

Compatible with Windows 10 and 11.

Main highlights

Fast and Accurate Dictation
Dictate documents 3 times faster than typing with 99% recognition accuracy.

Ideal for Professionals
Perfect for professionals needing quick documentation on Windows 10 and 11.

User-Praised Accuracy
Highly praised for improved accuracy over previous versions.

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2

Arduino

9.7

Exceptional

Arduino Nicla Voice [ABX00061] - Official Arduino Pro Board Microphone, Edge AI Processing, and Voice Recognition, Made in Italy

Main highlights

Optimized for Embedded Voice Applications: Ideal for IoT, wearable, and embedded voice solutions, the Nicla Voice can run AI algorithms directly on the device. This reduces latency and ensures that sensitive voice data is processed locally, providing enhanced privacy and lower dependency on cloud-based systems.

Edge AI for Voice Recognition: The Arduino Nicla Voice is a powerful, compact board designed for real-time voice recognition and audio processing. Powered by the Qualcomm QCC5100 chip and equipped with a high-quality microphone, it enables local processing of audio data for smart voice applications like speech-to-text, sound classification, and voice commands without relying on cloud services.

Compact Design with Integrated Sensors: Despite its small size, the Nicla Voice includes integrated features like a microphone array for improved voice capture, and built-in motion sensors (accelerometer and gyroscope). These capabilities allow the board to perform voice control, gesture recognition, and even context-aware interactions in a wide range of applications.

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3

WWZMDiB

9.6

Exceptional

WWZMDiB Voice Recognition Module V3 .1 Compatible with Arduino Elechouse Supports up to 80 Voice Commands

Main highlights

Voltage: 4.5-5.5V

Voice Recognition Module V3: Users need to train the module first before let it recognizing any voice command

On V3, voice commands are stored in one large group like a library. Any 7 voice commands in the library could be imported into recognizer. It means 7 commands are effective at the same time

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4

Comidox

9.5

Excellent

Comidox 1Pcs VC-02-Kit Voice Control Module Intelligent Offline Speech Module for Smart Home Devices & Lighting Voice Recognition Development Board

Main highlights

Unleash Creativity with VC-02 Kit: Elevate your smart home and gadgets to the next level with the VC-02-Kit AI Intelligent Offline Voice Module. Integrated with a CH340C serial to USB chip, it offers fundamental debugging interfaces and USB upgrade options, making it an indispensable tool for hobbyists and innovators alike

Intuitive Design, Enhanced Interaction: Experience seamless control with the VC-02's built-in wake-up and mood lights, providing clear status and control indications. This Voice Recognition Module is designed to add a touch of sophistication

Engineered for Excellence: The VC-02 Development Board is powered by a 32bit RISC architecture core, supplemented with a DSP instruction set tailored for signal processing and voice recognition. It boasts an FPU for floating-point operations and an FFT accelerator, ensuring robust performance for complex projects

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5

DFROBOT

9.3

Excellent

Gravity: Offline Language Learning Voice Recognition Sensor for micro:bit/Arduino / ESP32 - I2C & UART

Main highlights

【Self-Learning Function+Adding 17 Custom Command Words】: This voice recognition module is equipped with a self-learning function and supports the addition of 17 custom command words. Any sound could be trained as a command, such as whistling, snapping, or even cat meows, which brings great flexibility to interactive audio projects. For instance automatic pet feeder. When a cat emits a meow, the offline voice recognition module can recognize the meow and trigger the feeder to automatically provide food for the cat.

【Easy to Use】: this voice recognition sensor is compatible with micro:bit, Arduino Uno and ESP32. It can be programmed using MakeCode and supports plug-and-play functionality. At the same time, this voice recognition sensor also support I2C and UART communication methods, with a Gravity interface.

【121 built-in fixed command words】: The offline voice recognition sensor comes with 121 built-in fixed command words, eliminating the need for users to record their own voices. For instance, in an intelligent window system, when it starts to rain or thunder, there's no need for manual window operation. The offline voice recognition module can recognize the pre-set command word "close the window," triggering the automatic closing of the window to cope with sudden weather changes.

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6

Yahboom

9.2

Excellent

Yahboom AI Voice Recognition Module Voice Broadcast Integrated Custom Wake-up Word Programmable Sound Sensor Support Jetson/Raspberry Pi/ESP32/STM32

Main highlights

【Professional-level voice processing】Built-in CI1302 chip, equipped with neural network processor, integrated echo cancellation and environmental noise reduction technology, the measured recognition accuracy is as high as 99%, effectively suppressing environmental noise and echo interference, ensuring stable operation in complex scenarios.

【Highly customizable voice commands】Supports 110+ preset commands. Users can edit command content online and generate firmware burning through web pages. It supports multi-language commands, which is convenient and efficient to operate and meet the needs of global products.The burning software only supports Windows.

【Fully compatible development support】Provides STM32, ESP32, Ard-uin-o, Raspberry-Pi, Jetson Nano, Jetson Orin and other development board materials, supports ROS1/ROS2 system SDK, and meets the development needs of multiple scenarios such as smart hardware, robots, and homes.

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7

YELUFT

9.1

Excellent

YELUFT CI1302 AI Voice Interaction Module Offline Recognition HD Broadcast Long-Distance Recognition Supports Serial Communication Sound Sensor Compatible with Arduino, Raspberry Pi, ESP23

Main highlights

Support for Multiple Motherboards: The onboard MCU coprocessor converts voice data into serial or I2C data formats, greatly simplifying communication with external controllers

Integrated Voice Recognition and Broadcasting: Built-in high-performance microphones and high-fidelity speakers enable integrated voice recognition and broadcasting, simplifying the development process and hardware deployment of AI voice interaction systems and reducing overall R&D costs

High-Precision Voice Recognition: Utilizing advanced noise suppression algorithms, it effectively filters out background noise and supports 5-meter far-field user voice pickup. A noise reduction circuit ensures precise and efficient voice command control, with up to 99% accuracy

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8

LewanSoul

8.8

Very Good

AI Voice Sensor Module Voice Broadcasting Command Recognition Custom Wake Words Programmable Robot Sound Sensor Offline Speak Control for Arduino/RaspberryPi/ESP32/Jetson Development, WonderEcho

Main highlights

Wide Compatibility: WonderEcho AI voice module's Type-C and I2C interfaces make it fully compatible with Arduino, Raspberry Pi, STM32, ESP32, Jetson, microbit, Scratch, and ROS, enabling integration into a variety of development environments.

High-Precision Voice Recognition and Broadcasting: WonderEcho AI voice module seamlessly integrates voice recognition and broadcasting functions, achieving a recognition accuracy of up to 98%. It supports both English & Chinese keywords, offering robust capabilities for intelligent voice applications.

Advanced Neural Network Processor: Powered by a neural network processor, WonderEcho AI voice module supports convolutional neural network (CNN) operations, greatly improving both the speed and accuracy of voice recognition.

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9

MECCANIXITY

8.6

Very Good

MECCANIXITY 4 Pcs Microphone Sound Sensor KY-038 Voice Detection Module Voice Sound Detection Sensor Module for Voice-Activated Switch

Main highlights

This high-sensitivity microphone sensor module is suitable for voice recognition systems and can capture and transmit sound signals. It can be used for voice-controlled switch applications such as voice-controlled lights and voice-controlled electronic devices. In addition, in environmental monitoring, it can be used to detect noise levels or sound frequencies.

The Microphone Sound Sensor, we provide here, is in size of: Working Voltage: DC 3-24 V Output Form: Digital and Analog Output Model: KY-038 Number of Pins:4 In the package of: 4 x Voice Sound Detection Sensor

High sensitivity: The sound sensor module has high sensitivity and can accurately capture sound signals in the environment. Easy interface: Simple connection to various microcontrollers or electronic devices for easy integration and use. Stability: Provides stable performance and reliable sound detection function.

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Our top pick

1

Dragon Professional 16.0 Speech Dictation and Voice Recognition Software [PC Download]
Dragon Professional 16.0 Speech Dictation and Voice Recognition Software is a top-tier tool for professionals who require efficient and accurate documentation. It allows users to dictate documents three times faster than typing, with an impressive 99% accuracy right from the start. This software is optimized for Windows 11 and fully compatible with Windows 10, making it ideal for professionals planning to upgrade their systems. Users have praised its improved accuracy over previous versions, noting the software's ability to handle complex vocabulary and accents with ease. The software also integrates seamlessly with Microsoft Office versions from 2016 to 2021, ensuring broad compatibility in corporate environments. Additionally, it supports the Nuance PowerMic 4 Microphone, enhancing the speech-to-text experience. Whether you're in the office or on the go, Dragon Professional 16.0 offers a reliable solution for fast, accurate, and cost-effective documentation.

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