Typecast is an AI-driven voice synthesis platform designed to create diverse and realistic character voices for media production.
Google Text to Speech is a technology that converts written text into spoken words.
No sample available
Typecast is an AI voice generator designed to transform written text into realistic spoken audio, making it a useful tool for anyone looking to enhance their digital content. With over a thousand voices in its library, available in multiple languages, Typecast serves a wide range of applications—from podcasting and video narration to interactive gaming and virtual assistant development.
Using Typecast, you can easily select a voice that fits the mood and context of your project. Whether it’s a calm, soothing tone for meditational content or a lively, upbeat voice for a marketing video, the platform offers extensive customization options. These include adjustments for emotional expression, pitch, and speed, allowing creators to fine-tune the audio output to meet their specific needs.
This TTS tool also supports different dialects and accents, which is particularly valuable for projects targeting regional audiences or global markets. This feature enables a more authentic and relatable audio experience for listeners, enhancing the overall impact of the content.
Beyond voice selection and customization, Typecast facilitates seamless integration with existing workflows. This integration capability is crucial for developers looking to automate voiceover processes in apps, making it easier to implement interactive voice responses or narrated user guides.
With its robust set of features, Typecast not only simplifies voice production but also elevates the quality of the final audio, ensuring a professional finish for all types of projects.
Website: | https://typecast.ai/ |
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Founded in: | 2017 |
Founder: | Juncheol Cho, Taesu Kim |
CEO: | Taesu Kim |
Address: | 20 Yeongdong-daero 96-gil, Gangnam-gu, Daehwa Building 5F, Seoul, South Korea |
Phone: | N/A |
Email: | N/A |
Live Chat: | No |
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 |
We've compared price, features, voice samples, and more, and Google Text to Speech is a better alternative to Typecast
If you are looking to invest in either Typecast or Google Text to Speech and are planning to scale, then it’s important to know who provides a comprehensive product suite.
Compare Typecast vs Google Text to Speech subscription plans and pricing. Please check each website for the most updated information.
Monthly Price | Yearly Price | |
Free | $0 | $0 |
Basic | $8.99 | $95.88 |
Pro | $32.99 | $347.88 |
Business | $89.99 | $971.88 |
API & Enterprise | Contact sales | Contact sales |
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 Typecast vs Google Text to Speech features
Typecast Features |
Google Text to Speech Features |
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Diverse Voice and Language OptionsTypecast AI offers a wide range of voices and supports multiple languages, enabling users to choose the perfect voice that suits their project's tone and audience. This diversity allows for more targeted and effective communication across different regions and cultural contexts. |
Multilingual SupportGoogle Text to Speech supports a wide range of languages and dialects, making it versatile for global applications. |
Emotion and Tone ControlOne of the standout features of Typecast AI is its ability to control the emotion and tone of the voice output. Users can adjust settings to convey emotions like happiness, sadness, anger, or neutrality, which is particularly useful for storytelling, marketing, and entertainment content. |
Realistic VoicesThe technology includes high-quality, natural-sounding voices that closely mimic human speech patterns. |
Lip Syncing for VideoTypecast AI provides lip-syncing capabilities, making it an excellent tool for creating videos where accurate lip movement matching the audio is crucial. This feature is valuable for animated videos, virtual avatars, and any video content that requires a synchronized visual and auditory presentation. |
Customizable SpeechUsers can customize the pitch, speed, and volume of the spoken output to suit specific needs or preferences. |
Custom Voice CreationUsers have the option to create custom voices, either by adjusting existing ones or by creating a new voice from scratch. This feature is especially beneficial for brands looking to develop a unique voice for their character or virtual assistant. |
Text HighlightingAs the text is being read aloud, words can be highlighted synchronously, which is especially useful for educational purposes and aiding reading comprehension. |
Integration with Various Media Production ToolsTypecast AI integrates seamlessly with different media production tools, facilitating the workflow for video editors, content creators, and digital marketers. This integration helps streamline the production process, from scriptwriting to final voiceover application. |
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 Typecast vs Google Text to Speech use cases if you were looking for something unique.
Typecast Use Cases |
Google Text to Speech Use Cases |
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Audio BookTransform written content into engaging audio books with lifelike voices, making it easier for users to enjoy books on-the-go. |
Accessibility FeaturesEnhancing accessibility for visually impaired and dyslexic users by reading out digital text, such as books, web pages, and documents. |
EducationImprove learning experiences by providing educational content through clear, understandable voiceovers that can cater to diverse student needs. |
Educational ToolsAssisting in language learning and reading comprehension by providing audio aids for students to listen to pronunciation and intonation. |
SalesUse dynamic and persuasive voices in sales videos to boost engagement and effectively convey product benefits to potential customers. |
Voice-Enabled ApplicationsPowering voice-driven applications in mobile apps, web applications, and IoT devices, such as virtual assistants and smart home devices. |
DocumentaryUse realistic AI voice narration to add depth and professionalism to documentaries, making complex information more accessible and compelling. |
Multimedia ContentCreating voiceovers for multimedia presentations, videos, and games without the need for professional voice actors. |
TrainingImprove training modules with consistent and clear voice instructions to help employees understand and retain information better. |
Customer ServiceImproving user experience in customer service with voice responses in automated systems, such as IVR (Interactive Voice Response) systems, to guide users effectively. |
GamingCreate immersive gaming experiences by integrating character voices that bring game personas to life and improve storytelling. |
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Explainer videosUse clear and concise AI voiceovers to simplify complex concepts in explainer videos, making them easier to understand for all audiences. |
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CinemashEnhance short films and cinema projects with high-quality AI voices , providing a more engaging and cinematic experience. |
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EntertainmentAdd versatile voices in entertainment content to create more dynamic and appealing presentations for audiences. |
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MusicExperiment with vocal tracks in music production by using AI voices to add unique elements or fill in vocals where needed. |
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GameImprove gaming environments with AI-generated voices, enabling more interactive and responsive character dialogue. |
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Tiny Little Learn (educational content)Support educational content for younger audiences with friendly and clear voiceovers that make learning fun and engaging. |
See which companies trust Typecast & Google Text to Speech for all their generative AI needs.
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See how Typecast vs Google Text to Speech stack up by what users think of them.
The platform provides the virtual actor or digital avatar that can used for different applications like virtual reality applications, interactive s...
I like how accessible Typecast is in creating high-quality AI voiceovers. It's the perfect tool for me, especially when I need to add narration to ...
It is extremely affordable,as if we hire a human to fo voice over, it will cost a lot. It allows you to use a number of language in your videos. It is convinient as it is mobile. Today people have less time, so it is engaging.
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