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Google Cloud Text-to-Speech vs. Microsoft Azure AI Speech

The best way to compare Google Cloud Text-to-Speech vs. Microsoft Azure AI Speech: audio samples, features, plans, pricing, and more.

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Non-Fiction
Fiction
News
Blog
Conversation
0/250
Filesize
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Text to speech API - Google Cloud Text-to-Speech

Google Cloud Text-to-Speech

Allows developers to create natural-sounding, synthetic human speech as playable audio.
Text to speech API - Microsoft Azure AI Speech

Microsoft Azure AI Speech

Enables your applications, tools, or devices to convert text into human-like synthesized speech.

Voice Quality

Mean Opinion Score
Fiction
3.93
Non-Fiction
3.82
Conversation
3.42
Mean Opinion Score
Fiction
3.69
Non-Fiction
3.13
Conversation
3.18
Mean Opinion Score (MOS) is a numerical measure that represents the perceived quality of audio samples, commonly used in evaluating text-to-speech systems. The score ranges from 1 to 5, with 1 indicating poor quality and 5 signifying excellent quality. These scores are derived from comprehensive, professionally-conducted evaluations, and are anonymized to ensure unbiased results.
  • Based on the Mean Opinion Scores provided, Google Cloud Text-to-Speech generally offers higher voice quality across fiction, non-fiction, and conversation categories compared to Microsoft Azure AI Speech.
  • Google's service excels particularly in fiction and non-fiction contexts, indicating a more natural and pleasing synthetic speech output.
  • This suggests that for applications where voice quality is a critical factor, Google Cloud Text-to-Speech might be the preferable choice.

Features

Voice Cloning
Multi-lingual
Per-word Timestamps
Pitch Control
Speed Control
Phone Formats (e.g. pcm_mulaw)
Voice Cloning
Multi-lingual
Per-word Timestamps
Pitch Control
Speed Control
Phone Formats (e.g. pcm_mulaw)
  • Both Google Cloud Text-to-Speech and Microsoft Azure AI Speech offer a robust set of features for developers looking to integrate text-to-speech capabilities into their applications, including voice cloning, multi-lingual support, pitch and speed control, and support for phone formats.
  • However, Microsoft Azure AI Speech distinguishes itself with the addition of per-word timestamps, a feature not available in Google Cloud Text-to-Speech.
  • This could be a deciding factor for developers who need precise synchronization between the text and the speech output for their applications.

Pricing & Plans

Free
$0/mo
1M characters
Pay As You Go
$16per
1M characters
Free
$0/mo
5 hours of audio (~225K chars)
Pay As You Go
$15per
1M characters
  • In a direct comparison of pay-as-you-go plans, Microsoft Azure AI Speech offers a slightly more affordable option at $15 per 1 million characters, compared to Google Cloud Text-to-Speech's $16 for the same amount.
  • This makes Microsoft Azure AI Speech a marginally more cost-effective choice for users looking to process large volumes of text into speech.
  • However, users should consider their specific needs and usage levels when choosing between these two services.

Customer Reviews

4.6 out of 5
Average of 163 ratings from leading review sites.
Customers appreciate Google Cloud Text-to-Speech for its multilingual support, high-quality voices, and ease of integration. It is praised for its ability to handle various languages and accents, making it versatile for different applications. However, users are dissatisfied with its dependency on internet connectivity and find the pricing structure confusing and potentially costly. The lack of offline functionality is a significant drawback for many. Despite these issues, the service is valued for its accessibility features and seamless integration with other Google services.
Multilingual support
Voice quality
Ease of integration
Internet dependency
Pricing transparency
Offline functionality
4.2 out of 5
Average of 88 ratings from leading review sites.
Customers appreciate Azure Text to Speech API for its ease of use, high-quality audio output, and seamless integration with other services. They find it particularly beneficial for accessibility and enhancing user experience across various applications. However, concerns about the cost and limited customization options are frequently mentioned. The API's multilingual support and continuous updates are praised, but some users desire improvements in voice naturalness and additional language options.
Ease of use
Integration
Accessibility
Audio quality
Multilingual support
Naturalness of voice
Cost
Customization

Summary

  • In comparing Google Cloud Text-to-Speech and Microsoft Azure AI Speech, Google's service generally offers superior voice quality, making it a better option for applications where the naturalness of speech is paramount.
  • However, Microsoft Azure AI Speech provides a slightly more cost-effective solution and includes unique features such as per-word timestamps, which may be crucial for certain applications.
  • Ultimately, the choice between these two services should be based on specific project requirements, balancing considerations of voice quality, feature set, and pricing.

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