@google-cloud/text-to-speech vs react-native-tts
Text-to-Speech Libraries Comparison
1 Year
@google-cloud/text-to-speechreact-native-ttsSimilar Packages:
What's Text-to-Speech Libraries?

Text-to-speech libraries enable applications to convert written text into spoken words, enhancing accessibility and user experience. They are particularly useful in applications that require voice output, such as virtual assistants, educational tools, and accessibility features for visually impaired users. These libraries often leverage advanced machine learning models to provide natural-sounding speech and support multiple languages and accents, making them versatile for various applications.

Package Weekly Downloads Trend
Github Stars Ranking
Stat Detail
Package
Downloads
Stars
Size
Issues
Publish
License
@google-cloud/text-to-speech50,7902,9632.98 MB1386 days agoApache-2.0
react-native-tts20,574644162 kB1239 months agoMIT
Feature Comparison: @google-cloud/text-to-speech vs react-native-tts

Voice Quality

  • @google-cloud/text-to-speech:

    @google-cloud/text-to-speech utilizes advanced neural network models to generate high-fidelity, natural-sounding speech. It offers a wide range of voice options, including different accents and languages, ensuring a more engaging user experience.

  • react-native-tts:

    react-native-tts provides decent voice quality, but it may rely on the device's built-in text-to-speech engine, which can vary in quality across different platforms and devices. While it is sufficient for basic applications, it may not match the advanced capabilities of cloud-based solutions.

Integration

  • @google-cloud/text-to-speech:

    @google-cloud/text-to-speech is designed for server-side applications and can be easily integrated into backend services. It requires network access to function, making it suitable for applications that can leverage cloud resources.

  • react-native-tts:

    react-native-tts is specifically built for React Native applications, allowing for seamless integration into mobile apps. It provides a simple API that developers can quickly implement, making it ideal for mobile-first projects.

Customization

  • @google-cloud/text-to-speech:

    @google-cloud/text-to-speech offers extensive customization options, including speech speed, pitch, and volume adjustments, as well as support for Speech Synthesis Markup Language (SSML) to control pronunciation and intonation.

  • react-native-tts:

    react-native-tts allows for basic customization of speech parameters like pitch and rate, but it may not provide the same level of detailed control as cloud-based solutions. It is suitable for straightforward applications where advanced customization is not a priority.

Offline Capability

  • @google-cloud/text-to-speech:

    @google-cloud/text-to-speech requires an internet connection to access its services, which may limit its use in offline scenarios or applications with restricted connectivity.

  • react-native-tts:

    react-native-tts can function offline if the device has a compatible text-to-speech engine installed. This makes it a better choice for mobile applications that need to operate without a constant internet connection.

Cost

  • @google-cloud/text-to-speech:

    @google-cloud/text-to-speech operates on a pay-as-you-go pricing model, which can become costly depending on usage. It is best suited for applications with a budget that can accommodate cloud service expenses.

  • react-native-tts:

    react-native-tts is free to use as it leverages the device's built-in text-to-speech capabilities, making it a cost-effective solution for developers looking to implement basic text-to-speech functionality without incurring additional costs.

How to Choose: @google-cloud/text-to-speech vs react-native-tts
  • @google-cloud/text-to-speech:

    Choose @google-cloud/text-to-speech if you need a powerful, cloud-based solution that offers high-quality, natural-sounding voices and supports multiple languages. It is ideal for applications that require scalability and advanced features like SSML support and voice customization.

  • react-native-tts:

    Choose react-native-tts if you are developing a mobile application using React Native and need a lightweight, easy-to-integrate solution for text-to-speech. It provides a straightforward API for voice synthesis directly on the device, making it suitable for offline use.

README for @google-cloud/text-to-speech

Google Cloud Platform logo

Google Cloud Text-to-Speech: Node.js Client

release level npm version

Cloud Text-to-Speech API client for Node.js

A comprehensive list of changes in each version may be found in the CHANGELOG.

Read more about the client libraries for Cloud APIs, including the older Google APIs Client Libraries, in Client Libraries Explained.

Table of contents:

Quickstart

Before you begin

  1. Select or create a Cloud Platform project.
  2. Enable billing for your project.
  3. Enable the Google Cloud Text-to-Speech API.
  4. Set up authentication so you can access the API from your local workstation.

Installing the client library

npm install @google-cloud/text-to-speech

Using the client library

// Imports the Google Cloud client library
const textToSpeech = require('@google-cloud/text-to-speech');

// Import other required libraries
const fs = require('fs');
const util = require('util');
// Creates a client
const client = new textToSpeech.TextToSpeechClient();
async function quickStart() {
  // The text to synthesize
  const text = 'hello, world!';

  // Construct the request
  const request = {
    input: {text: text},
    // Select the language and SSML voice gender (optional)
    voice: {languageCode: 'en-US', ssmlGender: 'NEUTRAL'},
    // select the type of audio encoding
    audioConfig: {audioEncoding: 'MP3'},
  };

  // Performs the text-to-speech request
  const [response] = await client.synthesizeSpeech(request);
  // Write the binary audio content to a local file
  const writeFile = util.promisify(fs.writeFile);
  await writeFile('output.mp3', response.audioContent, 'binary');
  console.log('Audio content written to file: output.mp3');
}
quickStart();

Samples

Samples are in the samples/ directory. Each sample's README.md has instructions for running its sample.

| Sample | Source Code | Try it | | --------------------------- | --------------------------------- | ------ | | Text_to_speech.list_voices | source code | Open in Cloud Shell | | Text_to_speech.streaming_synthesize | source code | Open in Cloud Shell | | Text_to_speech.synthesize_speech | source code | Open in Cloud Shell | | Text_to_speech_long_audio_synthesize.synthesize_long_audio | source code | Open in Cloud Shell | | Text_to_speech.list_voices | source code | Open in Cloud Shell | | Text_to_speech.streaming_synthesize | source code | Open in Cloud Shell | | Text_to_speech.synthesize_speech | source code | Open in Cloud Shell | | Text_to_speech_long_audio_synthesize.synthesize_long_audio | source code | Open in Cloud Shell | | Quickstart | source code | Open in Cloud Shell |

The Google Cloud Text-to-Speech Node.js Client API Reference documentation also contains samples.

Supported Node.js Versions

Our client libraries follow the Node.js release schedule. Libraries are compatible with all current active and maintenance versions of Node.js. If you are using an end-of-life version of Node.js, we recommend that you update as soon as possible to an actively supported LTS version.

Google's client libraries support legacy versions of Node.js runtimes on a best-efforts basis with the following warnings:

  • Legacy versions are not tested in continuous integration.
  • Some security patches and features cannot be backported.
  • Dependencies cannot be kept up-to-date.

Client libraries targeting some end-of-life versions of Node.js are available, and can be installed through npm dist-tags. The dist-tags follow the naming convention legacy-(version). For example, npm install @google-cloud/text-to-speech@legacy-8 installs client libraries for versions compatible with Node.js 8.

Versioning

This library follows Semantic Versioning.

This library is considered to be stable. The code surface will not change in backwards-incompatible ways unless absolutely necessary (e.g. because of critical security issues) or with an extensive deprecation period. Issues and requests against stable libraries are addressed with the highest priority.

More Information: Google Cloud Platform Launch Stages

Contributing

Contributions welcome! See the Contributing Guide.

Please note that this README.md, the samples/README.md, and a variety of configuration files in this repository (including .nycrc and tsconfig.json) are generated from a central template. To edit one of these files, make an edit to its templates in directory.

License

Apache Version 2.0

See LICENSE