Microsoft Speaker Recognition API Ratings (September 2025)
This page breaks down Microsoft Speaker Recognition API ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand Microsoft Speaker Recognition API’s overall reputation. This data-driven overview will show you exactly how Microsoft Speaker Recognition API is rated - including how it compares to competitors.
Microsoft Speaker Recognition API's Overall Rating Summary
- Average Rating:3.7/5
- Total Reviews:17 reviews
- Sources:G2
- Last updated:September 1, 2025
Microsoft Speaker Recognition API Ratings by Source
| Platform | Rating | Reviews | Last Update |
|---|---|---|---|
 G2 | 3.7/5 | 17+ reviews | 04.05.25 |
What is Microsoft Speaker Recognition API?
Microsoft Cognitive Services offers a collection of APIs to make applications more intelligent and engaging, including the Speaker Recognition API, which is now in public preview. This API features speaker verification for authentication and speaker identification to recognize who is speaking, making it a powerful tool for adding intelligent verification and identification capabilities to applications. Public preview pricing for the Speaker Recognition API began on May 2, 2016.
🤔 Microsoft Speaker Recognition API vs Competitors: How Do Ratings Compare?
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How many stars is Microsoft Speaker Recognition API rated?
Microsoft Speaker Recognition API has an average star rating of 3.7 out of 5 stars based on average of 17 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from Microsoft Speaker Recognition API public reviews pages on platforms: G2. We update these ratings monthly to ensure they reflect the most current customer feedback.
How overall average rating for Microsoft Speaker Recognition API is calculated?
The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.