Software Alternatives, Accelerators & Startups

AssemblyAI VS Google Cloud Text-to-Speech

Compare AssemblyAI VS Google Cloud Text-to-Speech and see what are their differences

AssemblyAI logo AssemblyAI

Robust and Accurate Multilingual Speech Recognition

Google Cloud Text-to-Speech logo Google Cloud Text-to-Speech

Text to speech conversion powered by machine learning
  • AssemblyAI Landing page
    Landing page //
    2023-08-06

Build powerful AI experiences for your end users on the industry’s leading speech-to-text models.

The API offers high-accuracy transcribing and understanding accented speech, even with background noise or in a natural conversation. AI models are easy to integrate and always up-to-date. Join over 200,000 developers building with AssemblyAI and get started with 100 free hours of transcription.

  • Google Cloud Text-to-Speech Landing page
    Landing page //
    2022-11-02

AssemblyAI features and specs

  • High Accuracy
    AssemblyAI offers robust speech recognition capabilities with high accuracy, making it reliable for transcribing audio in various languages and dialects.
  • Easy Integration
    Provides easy-to-use APIs that simplify the integration of their speech recognition and transcription services into other applications.
  • Real-time Transcription
    Supports real-time transcription which is essential for live applications such as webinars, live broadcasts, and teleconferencing.
  • Customizable Features
    Offers customization options like adding custom vocabulary which improves recognition accuracy for specialized terms specific to certain industries.
  • Data Security
    Emphasizes data security and privacy, offering compliance with regulatory standards like GDPR and HIPAA.
  • Developer-friendly Documentation
    Provides extensive documentation that is helpful for developers, ensuring that they can easily understand and implement the APIs.

Possible disadvantages of AssemblyAI

  • Cost
    May be expensive for small businesses or individual developers, particularly if large volumes of transcription are required.
  • Language Support
    While AssemblyAI supports multiple languages, it may not cover as wide a range of languages and dialects as some other competitors.
  • Dependence on Internet
    Requires a stable internet connection for accessing their services, which could be a limitation in areas with poor connectivity.
  • Limited API Features for Free Tier
    The free tier has limited features and usage caps, making it less appealing for users who require heavy or advanced usage.
  • Learning Curve
    Despite good documentation, there might be a learning curve for those who are not familiar with API integrations and advanced software development concepts.

Google Cloud Text-to-Speech features and specs

  • High-quality voices
    Google Cloud Text-to-Speech offers a wide range of natural-sounding voices, which use deep learning models to generate highly realistic speech. This can improve user experience and make applications more engaging.
  • Multi-language support
    The service supports multiple languages and dialects, making it suitable for global applications and diverse user bases.
  • Customization options
    Developers can customize speech output by adjusting pitch, speaking rate, and volume gain through various parameters, allowing for more tailored voice interactions.
  • SSML support
    Speech Synthesis Markup Language (SSML) allows developers to fine-tune speech characteristics with precise control over pronunciation, pauses, and legacy text transformations.
  • Integration with other Google Cloud services
    It integrates seamlessly with other Google Cloud services, such as Cloud Storage, Pub/Sub, and more, enabling comprehensive solutions within the Google Cloud ecosystem.
  • Scalable and reliable
    Google Cloud's infrastructure ensures the Text-to-Speech service is scalable and reliable, suitable for applications with varying demands.

Possible disadvantages of Google Cloud Text-to-Speech

  • Cost
    While highly functional, the usage costs can accumulate quickly, especially for applications with high usage volumes. This might be a barrier for startups or small businesses with limited budgets.
  • Learning curve
    Leveraging advanced features like SSML and custom voice adjustments requires a deeper understanding of the service, which could be challenging for beginners.
  • Privacy concerns
    As with any cloud service, there are concerns about data privacy and security. Developers must be cautious and comply with relevant regulations when handling sensitive information.
  • Dependency on internet connection
    The service relies heavily on internet connectivity, which could be a drawback for applications needing offline capabilities or operating in areas with unreliable internet access.
  • Voice variety limitations
    Although there are many high-quality voices, the variety may still be limited compared to emerging competitors offering more unique and varied voice options.

Analysis of AssemblyAI

Overall verdict

  • Overall, AssemblyAI is considered a good choice for those looking for a reliable and efficient ASR service. It is well-regarded within the industry for its accuracy and comprehensive feature set, actively supporting a wide range of applications from transcription services to AI-driven content analysis.

Why this product is good

  • AssemblyAI is a notable service in the field of automatic speech recognition (ASR) and natural language processing (NLP). It is appreciated for its high accuracy, ease of integration, and robust API capabilities. The platform supports various advanced features like real-time transcription, sentiment analysis, topic detection, and more, which cater to the needs of developers and businesses seeking reliable speech-to-text solutions.

Recommended for

    AssemblyAI is recommended for software developers, businesses, and enterprises that require transcription services, real-time audio processing, or want to implement AI-driven analytics on audio content. It's particularly suitable for industries like media production, call centers, education, and any other sector that relies heavily on audio data.

Analysis of Google Cloud Text-to-Speech

Overall verdict

  • Yes, Google Cloud Text-to-Speech is widely regarded as a good choice for text-to-speech services. It offers a robust and scalable solution with competitive pricing options, making it a popular choice among developers and businesses.

Why this product is good

  • Google Cloud Text-to-Speech is considered good due to its high-quality, natural-sounding voices, support for multiple languages and dialects, and ease of integration with other Google Cloud services. It utilizes advanced machine learning models to provide realistic speech synthesis, making it suitable for various applications such as virtual assistants, customer service automation, and more.

Recommended for

  • Developers looking to integrate speech synthesis into their applications
  • Businesses aiming to automate customer service interactions
  • Content creators who need voiceovers for videos or presentations
  • Educational apps requiring language and speech accessibility
  • Enterprises seeking to enhance user experience with natural-sounding voices

AssemblyAI videos

AssemblyAI - Build AI applications with spoken data

More videos:

  • Review - Thinking Thursday - Let's get our refactor on! Xamarin.Forms + AssemblyAI

Google Cloud Text-to-Speech videos

How to convert text to speech using Google Cloud Text-to-Speech API and Ruby on Rails

Category Popularity

0-100% (relative to AssemblyAI and Google Cloud Text-to-Speech)
AI
39 39%
61% 61
Transcription
100 100%
0% 0
Text To Speech
0 0%
100% 100
Developer Tools
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Google Cloud Text-to-Speech should be more popular than AssemblyAI. It has been mentiond 61 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

AssemblyAI mentions (9)

  • How Machines Hear and Understand Us
    It’s about value—saving time, money, and effort. Traditional transcription services charged $1-2 per audio minute. Imagine needing 10 hours transcribed—that’s $600 to $1,200, just to get your words on paper. With tools like Assembly AI charging $0.015 per minute (that’s $0.90 for an hour), the cost drops dramatically. For companies dealing with large volumes of audio, this is a game changer. - Source: dev.to / 6 months ago
  • We Created Something Cool to Help Streamers Grow, What Do You Think? DailyClips.io
    The auto caption is from assemblyai.com, they do a pretty good job. As for manual, you can do `Add Layer` > `Text` from the short-form editor then trim each text layer. Its slow going though. Ideally we will figure out a better interface and build it. For now I recommend using the auto caption, then modifying it to your liking, if there is more than a few words it will probably be faster. Thanks for the kind words! Source: about 2 years ago
  • How I applied nlp to various youtube videos
    Assemblyai is a great tool for extracting transcripts from videos, I have used it for investor presentations from other sources. - Source: dev.to / almost 3 years ago
  • Top AI Startups to Watch in 2022
    AssemblyAI is pioneering accurate and accessible speech recognition powered by cutting edge Deep Learning, Machine Learning, and AI research. Its Speech-to-Text API transcribes audio and video files and live audio streams with industry-best accuracy. In addition, the company offers Audio Intelligence APIs that secure higher ROI for users, including Sentiment Analysis, Topic Detection, Content Moderation, Auto... - Source: dev.to / over 3 years ago
  • Speaker diarization
    Check out http://assemblyai.com/ - the API has pretty good Diarization results and is free for small volumes of data. Source: over 3 years ago
View more

Google Cloud Text-to-Speech mentions (61)

  • Getting Started with ElevenLabs API
    Google Cloud Text-to-Speech: Known for stability and seamless integration with Google services, supporting SSML across many languages. - Source: dev.to / about 1 month ago
  • Pushing the Frontiers of Audio Generation
    Try it out in the demo https://cloud.google.com/text-to-speech/?hl=en and in the API https://cloud.google.com/text-to-speech/docs/create-dialogue-with-multispeakers. - Source: Hacker News / 7 months ago
  • Hindi Conversational Text-to-Speech
    My friend was a contractor for Hindi TTS at Google https://cloud.google.com/text-to-speech. - Source: Hacker News / about 1 year ago
  • Mini Kore Anki Deck with Audio
    I created an Anki Deck with all of the words from Mini Kore and 300+ Mini Kore sentences from the various documents on minilanguage.com. The deck includes audio for all words and sentences. Audio was generated using the Google Text-to-Speech API. The deck can be found here:. Source: almost 2 years ago
  • 📽️ Introducing Swiftube - Make simple talking-head videos in React ⚛️
    Under the hood, it is powered by: - Remotion - Google TTS - OpenAI. Source: about 2 years ago
View more

What are some alternatives?

When comparing AssemblyAI and Google Cloud Text-to-Speech, you can also consider the following products

Deepgram - Search engine for speech

NaturalReader - Main Feature: Full Common Functions: Read Text Files o Text files o MS Word files

Voice Elements - Web components that do amazing things w/ the web speech api

Play.ht - AI Voice and Speech Generation tool

Speechly - Our tools help software development teams improve their products by removing friction from the touch screen experience by bringing in the voice modality.

Amazon Polly - Named for a parrot, Amazon Polly is a text-to-speech (TTS) software that makes your text come to life in a natural, authentic way. The software has many lifelike voices, both male and female, and in a variety of languages.