Google Text to Speech is a technology that converts written text into spoken words.
No sample available
Neuphonic delivers AI-driven text-to-speech and conversational AI solutions that sound authentic, integrate effortlessly, and adapt to a wide range of applications, from accessibility tools to content creation platforms.
No sample available
Google Cloud Text to Speech is a powerful cloud-based service that utilizes advanced deep learning technologies to generate natural-sounding speech from text. Part of Google Cloud’s suite of machine learning tools, it offers a wide range of customizable voices, supports multiple languages and dialects, and enables easy integration into applications via an API.
This service is designed to enhance user experience across various platforms by providing accessible, high-quality voice outputs for applications in education, accessibility, entertainment, customer service, and more.
Whether you’re developing a new app or looking to improve an existing service, Google Cloud Text to Speech offers a scalable, flexible solution to meet diverse auditory communication needs.
Website: | https://cloud.google.com/text-to-speech |
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Founded in: | 1998 |
Founder: | Larry Page, Sergey Brin |
CEO: | Sundar Pichai |
Address: | 1600 Amphitheatre Parkway, Mountain View, California, USA |
Phone: | 650.253.0000 |
Live Chat: | No |
Neuphonic offers ultra-low latency text-to-speech (TTS) solutions designed to enhance human-AI interactions in real-time. Neuphonic’s technology allows for natural, fluid conversations by synthesizing speech word-by-word as text arrives.
Website: | https://neuphonic.com/ |
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Founded in: | 2024 |
Founder: | Sohaib Ahmad, Jiameng Gao |
CEO: | Sohaib Ahmad |
Address: | Hamilton House, Mabledon Place Suite 36, Third Floor, London, United Kingdom |
Email: | [email protected] |
Live Chat: | No |
We've compared price, features, voice samples, and more, and Google Text to Speech is a better alternative to Neuphonic
If you are looking to invest in either Google Text to Speech or Neuphonic and are planning to scale, then it’s important to know who provides a comprehensive product suite.
Compare Google Text to Speech vs Neuphonic subscription plans and pricing. Please check each website for the most updated information.
Monthly Price | Yearly Price | |
Premium | US$0.000016 per byte | |
Studio | US$0.00016 per byte | |
Standard | US$0.000004 per character |
A side-by-side comparison of Google Text to Speech vs Neuphonic features
Google Text to Speech Features |
Neuphonic Features |
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Multilingual SupportGoogle Text to Speech supports a wide range of languages and dialects, making it versatile for global applications. |
Ultra Low latency Text-To-SpeechEnjoy premium, ultra-fast text-to-speech conversion with under 25-millisecond latency. Our advanced technology delivers instant voice synthesis, perfect for all your audio needs. |
Realistic VoicesThe technology includes high-quality, natural-sounding voices that closely mimic human speech patterns. |
Intuitive Voice InterfacesAt Neuphonic, we believe voice technology should simplify and enrich human communication and productivity. Our mission is to make digital interactions smoother and more intuitive. |
Customizable SpeechUsers can customize the pitch, speed, and volume of the spoken output to suit specific needs or preferences. |
Multi-regional APINeuphonic provides AI-driven text-to-speech services available in various regions and languages, with an API crafted for seamless accessibility and ease of use for both developers and end-users. |
Text HighlightingAs the text is being read aloud, words can be highlighted synchronously, which is especially useful for educational purposes and aiding reading comprehension. |
On-device solutionsNeuphonic delivers on-device solutions for text-to-speech and conversational AI, engineered to operate smoothly across diverse platforms and devices. |
Integration CapabilitiesIt can be easily integrated into various applications and devices using an API, allowing developers to add speech functionality to their software efficiently. |
Most apps in this space have similar use cases but you can compare Google Text to Speech vs Neuphonic use cases if you were looking for something unique.
Google Text to Speech Use Cases |
Neuphonic Use Cases |
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Accessibility FeaturesEnhancing accessibility for visually impaired and dyslexic users by reading out digital text, such as books, web pages, and documents. |
Virtual AssistantsPower virtual assistants with Neuphonic's natural, responsive text-to-speech technology for smooth, human-like interactions on any device. |
Educational ToolsAssisting in language learning and reading comprehension by providing audio aids for students to listen to pronunciation and intonation. |
Mobile AppsEnhance mobile applications with on-device voice capabilities, offering instant, high-quality audio responses in real-time. |
Voice-Enabled ApplicationsPowering voice-driven applications in mobile apps, web applications, and IoT devices, such as virtual assistants and smart home devices. |
Automotive InterfacesImprove driver safety and convenience by integrating hands-free, conversational AI and text-to-speech solutions into car infotainment systems. |
Multimedia ContentCreating voiceovers for multimedia presentations, videos, and games without the need for professional voice actors. |
Education and E-LearningEnable interactive and engaging audio content for educational apps, making learning more accessible and effective for users worldwide. |
Customer ServiceImproving user experience in customer service with voice responses in automated systems, such as IVR (Interactive Voice Response) systems, to guide users effectively. |
Customer Service BotsEnhance customer service interactions with voice-enabled bots that provide accurate, responsive assistance across various platforms and languages. |
See which companies trust Google Text to Speech & Neuphonic for all their generative AI needs.
No client information.
See how Google Text to Speech vs Neuphonic stack up by what users think of them.
Tried this voiceover specification with students for a project and fancied it a lot.
Google cloud text to speech also store the end results to cloud.
My overall experience is good and time saver.
Its a very useful tool to have and use, however it requires some technical skills to operate effectively.
It's not so good if the speaker spoke multiple languages at the same time (e.g. Chinese and English)
Sometimes my words are caught wrong or do not get catched
Neuphonic not reviewed yet.