Microsoft Azure AI Speech vs Amazon Polly
The best way to compare Microsoft Azure AI Speech vs Amazon Polly: audio samples, latency, features, plans, pricing, and more.
Microsoft Azure AI Speech
Amazon Polly
Voice Quality
Microsoft Azure AI Speech Samples
Amazon Polly Samples
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 derivedfrom comprehensive, professionally-conducted evaluations, and are anonymized to ensure unbiased results.
Features
Microsoft Azure AI Speech Features
Amazon Polly Features
Features - Conclusion
- Shared Capabilities: Customization and Flexibility: Both Microsoft Azure AI Speech and Amazon Polly offer a range of features that cater to the customization and flexibility needs of text-to-speech applications, including multi-lingual support, per-word timestamps, pitch control, speed control, and support for phone formats.
- Advanced Personalization: Microsoft Azure AI Speech: However, Microsoft Azure AI Speech distinguishes itself with the addition of voice cloning, a feature not available in Amazon Polly. This could offer a significant advantage for applications requiring a higher degree of personalization or specific voice replication.
Pricing & Plans
Microsoft Azure AI Speech Pricing
Free
$0/mo
- 5 hours of audio (~225K chars)
Pay As You Go
$15/mo
- 1M characters
Amazon Polly Pricing
Free
$0 /mo
- 1M characters (for first 12 months only)
Pay As You Go
$16 per
- 1M characters
Pricing & Plans - Conclusion
- Cost-Effective Pay-As-You-Go Plans: In a direct comparison of pay-as-you-go plans, Microsoft Azure AI Speech offers a more cost-effective solution at $15 per million characters, slightly undercutting Amazon Polly's rate of $16 per million characters. This pricing advantage makes Microsoft Azure AI Speech the more economical choice for users looking to process large volumes of text into speech.
- Value Beyond Cost: However, users should consider their specific needs and the overall value each service provides beyond just the cost.
Customer Reviews
Microsoft Azure AI Speech Reviews
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.
Amazon Polly Reviews
Customers appreciate Amazon Polly for its natural-sounding voices, ease of use, and integration with AWS services. They find it beneficial for various applications like IVR systems, content creation, and multilingual support. However, concerns about cost, limited customization options, and occasional unnatural inflections in the voices are common. The service's scalability and fast response times are highlighted as significant advantages, helping businesses efficiently manage large-scale projects.
Compare Alternatives
Microsoft Azure AI Speech Alternatives
Amazon Polly Alternatives
Summary
- Superior Voice Quality: Microsoft Azure AI Speech: In summary, Microsoft Azure AI Speech outperforms Amazon Polly in terms of voice quality, offering a more human-like and pleasant listening experience across various categories.
- Economic Efficiency and Unique Features: It also provides a slightly more cost-effective solution for pay-as-you-go plans and distinguishes itself with unique features such as voice cloning.
- Overall Recommendation: These advantages make Microsoft Azure AI Speech a preferable choice for users seeking high-quality, customizable, and economically efficient text-to-speech services.
TTS Property
Our next-gen TTS model surpasses competitors on performance at one-tenth the cost. Enjoy low latency websocket support and mult-speaker voice generation at pricing that helps you scale.
TTS Property
Our next-gen TTS model surpasses competitors on performance at onespeaker voice generation at pricing that helps you scale.Our next-gen TTS model surpasses competitors on performance at one-tenth the cost. Enjoyspeaker voice generation at pricing that helps you scale.Our next-gen TTS model surpasses competitors on performance at one-tenth the cost. Enjoyspeaker voice generation at pricing that helps you scale.Our next-gen TTS model surpasses competitors on performance at one-tenth the cost. Enjoy
Signal Noise Ratio
Signal Noise Ratio
Signal Noise Ratio
Do you offer any free credits for TTS & ASR?
We offer a generous free plan for developers with one month of free:
- 160 hours of text-to-speech generation
- 1.2 million characters of speech-to-text transcription
What is the monthly subscription?
Our monthly plan is $20 per month for
- 160 hours of text-to-speech generation
- 1.2 million characters of Speech-to-Text transcription
Once you exceed those limits, you can add $5 top-ups to your plan for
- additional 30hrs of Text-to-Speech
- additional 300,000 characters of Speech-to-Text
Do you offer voices & transcription other in languages?
We currently only have English voice generation & transcription. But we're working on multilingual voice support, expected to roll out in 2-3 months.
Can I create custom voices (voice cloning)?
Please contact us at founders@snr.audio with your custom voice (voice cloning) usecase. Once approved by our compliance team, you will get access to your custom voice in under 48-72 hours.
Can I use the generated audio & transcription commercially?
Yes, audio & transcription generated with Signal Noise Labs can be used commercially. You own the license to the generated content to perpetuity.
How do I cancel my subscription?
You can cancel your subscription at any time. Go to the Subscription panel in the dashboard and click the "Cancel Subscription" button.
app.snr.audio
SNR.Audio - Text to Speech and Speech to Text
