Voice Recognitions of 2025
- Best Choice
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Clicked 54 times in the last monthNuanceDragon 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.
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- Value for Money
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PenPowerAI VoiceWriter – Smart Dictation & AI Writing Assistant for Windows & Mac | USB Dongle & Mobile App for Voice Input, Proofreading, Rewriting & Multilingual Support
Main highlights- Mobile App for Enhanced Voice Input – The AI VoiceWriter mobile app enhances voice recognition by using your phone’s microphone as an input device for clearer, more accurate dictation—while typing on your desktop. Supports iOS 15 & above, Android 9.0 & above.
- Works Seamlessly in Any Desktop App – Type with your voice in Microsoft Word, Google Docs, PowerPoint, Teams, emails, and more. Just place your cursor in any text field and start speaking!
- One-Time Purchase – No Subscriptions – Get lifetime software updates and the latest enhancements without extra fees.
- ️ Hands-Free Voice Typing for Windows & Mac – Powered by iOS & Android dictation technology, AI VoiceWriter allows fast, accurate speech-to-text directly on your desktop. Simply speak, and your words appear in real time. Compatible with Windows 10 & above, macOS 13 & above.
- Multilingual Voice Typing & AI Assistance – Supports 33 languages for dictation, plus AI-powered features in Chinese, English, Japanese, Korean, French, German, Spanish, Italian and, Swedish.
- ️ AI Writing Assistant for Effortless Editing – Boost productivity with AI proofreading, rephrasing, and formatting. Perfect for emails, reports, creative writing, and professional content.
- [How To Use] - 1. Plug the USB dongle to your laptop or desktop 2. Download the AI VoiceWriter mobile app on your mobile phone 3. Turn on one of the text processing software you’d like to input 4. Start speaking out your ideas and inspiration. 5. Supported OS: Android 9.0 or above, iOS 15 or above, Windows 10 or above, Mac OS 13 or above.
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WWZMDiBWWZMDiB 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
- This board has 2 controlling ways: Serial Port (full function), General Input Pins (part of function). General Output Pins on the board could generate several kinds of waves while corresponding voice command was recognized
- 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
- Digital Interface: 5V TTL level for UART interface and GPIO. Analog Interface: 3.5mm mono-channel microphone connector + microphone pin interface
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DFROBOTGravity: 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.
- 【No network required】: This voice recognition sensor can be used without the need for a network connection, making it suitable for various settings. It provides fast response to specific command words and instructions. Moreover, the onboard MCU is equipped with voice recognition algorithms, ensuring that conversations are not recorded or uploaded to the cloud, thus ensuring greater privacy and security.
- 【Integrated Microphone and Speaker with Compact Size】: built-in speaker and external speaker interface for real-time voice feedback of recognition results. Compact size of only 49×32 mm, convenient for embedding in applications.
- 【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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RakstoreRakstore Speak Recognition Voice Recognition Module V3 Compatible with for Arduino Support 80 Kinds of Voice DC 4.4-5.5 V High Accuracy
Main highlights- Voltage: 4.5-5.5V
- Recognition accuracy: 99% (under ideal environment);Size: 31mm x 50mm
- Digital Interface: 5V TTL level for UART interface and GPIO
- Current: <40mA
- Analog Interface: 3.5mm mono-channel microphone connector + microphone pin interface
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RHYONLINRHYONLIN MR08 Intelligent Voice Mouse, Voice Typing, Translation, Screenshot Literacy, Built-in Battery, 2.4G+Bluetooth
Main highlights- Wireless Convenience: Equipped with a built-in battery and
- Voice Typing: Effortless hands-free typing through advanced voice recognition technology.
- Translation: Built-in translation capabilities for seamless communication across languages.
- Screenshot Literacy: Capture and extract text from screenshots with OCR functionality.
- Dialect Recognition: Accurately understands and adapts to various accents and dialects.
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YahboomYahboom 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.
- 【Plug and play interface design】Onboard IIC, serial port, Type-C interface, with a variety of connection cables (PH2.0 to DuPont cable, double-head cable, Type-C cable), adapt to single-chip microcomputer, embedded master control, and quickly realize hardware docking. Slot design, flexible installation.
- 【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.
- 【AI tech accelerates innovation】Yahboom provides development data solutions and technical support services. Through open source software and hardware design and low-power solutions, this product provides developers with full support from prototype to mass production, helping the smart hardware industry move towards a new era of human-computer interaction. Modify the command word page account: 15338857526, password: Yahboom123.
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EujgoovDC 5V Voice Recognition Module Speech Recognition Chip Custom Wake Word Voice Control Module HLK-V20
Main highlights- Versatile: Great for adding sound effects to , photo frames and displays.
- Support calculation: support up to 1024 points of FFT IFFT complex calculation or 2048 points of real FFT IFFT calculation.
- High-quality materials: 32bit RISC core, 240M operating frequency, support for DSP instruction set and FPU floating point arithmetic unit.
- DIY gifts: very suitable for making gifts, cards and handicrafts in your own speech.
- Applicable scenarios: Used in smart homes, all kinds of smart home appliances, 86 boxes, toys, lamps, industry, internet of things, cars, security and lighting, and other products that require voice control.
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ComidoxComidox 1Pcs VC-02-Kit Voice Control Module Intelligent Offline Speech Module for Smart Home Devices & Lighting Voice Recognition Development Board
Main highlights- Versatile Application: Whether you're developing for smart homes, enhancing small intelligent appliances, or creating interactive toys and lighting, the VC-02 Kit offers a versatile solution. Supporting a lightweight RTOS system, it's specifically designed to meet the demands of creative developers aiming to push the boundaries of voice-controlled innovation
- 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
- Sophisticated Voice Control: With the ability to recognize 150 local commands offline, the VC-02 Voice Control Module brings smart technology to your fingertips. Without the need for an internet connection
- 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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ANDREAVoice Recognition USB Headset with Noise Cancelling Microphone for Nuance Dragon Speech Recognition Software
8.4 Comfort8.0 lasts a long time8.0 worth the moneyWhy we love it
Excellent speech recognition accuracy.
Affordable price point.
Reliable for dictation tasks.