Users report that Google Cloud Vision API excels in Object Detection with a score of 9.3, while Azure Face API falls short in this area, lacking the same level of detail and accuracy.
Reviewers mention that Google Cloud Vision API's Quality of Support is rated at 8.7, significantly higher than Azure Face API's 6.9, indicating a more responsive and helpful support team.
G2 users highlight that Google Cloud Vision API offers superior Emotion Detection capabilities with a score of 8.3, whereas Azure Face API does not provide this feature, limiting its use in applications requiring emotional analysis.
Users on G2 report that Google Cloud Vision API's Custom Image Detection feature is highly praised with a score of 9.0, allowing for tailored solutions, while Azure Face API lacks comparable customization options.
Reviewers say that Google Cloud Vision API's Integrations score of 9.1 indicates a broader range of compatibility with other tools, making it easier to incorporate into existing workflows compared to Azure Face API.
Users say that the Ease of Setup for Azure Face API is rated at 9.3, which is higher than Google Cloud Vision API's 8.8, suggesting that Azure may be more user-friendly for initial implementation.
Pricing
Entry-Level Pricing
Azure Face API
No pricing available
Google Cloud Vision API
Free Trial
Free Trial
Per Month
Charges are incurred per image. For files with multiple pages, such as PDF files, each page is treated as an individual image. Each feature applied to an image is a billable unit.
The first 1000 units used each month are free, units 1001 to 5,000,000 are priced as marked in the Standard Pricing.
New customers get $300 in free credits to spend on Vision API.
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