Users report that Google Cloud Vision API excels in Object Detection with a score of 9.3, highlighting its ability to accurately identify and classify objects in images, which is crucial for applications requiring high precision.
Reviewers mention that Azure Custom Vision Service shines in Custom Image Detection, scoring 9.0, allowing users to easily train models with their own images, making it highly adaptable for specific business needs.
G2 users indicate that Google Cloud Vision API has a slight edge in Text Detection with a score of 9.2, which is particularly beneficial for businesses needing to extract text from images efficiently.
Users on G2 report that Azure Custom Vision Service offers better Quality of Support, scoring 8.9 compared to Google Cloud Vision API's 8.7, suggesting that users may find more responsive assistance when issues arise.
Reviewers say that Google Cloud Vision API's Emotion Detection feature, scoring 8.3, is less robust compared to Azure's offerings, indicating that users may find limitations in analyzing emotional context from images.
Users report that both platforms have similar Ease of Use ratings, with Google Cloud Vision API at 8.9 and Azure Custom Vision Service at 8.8, suggesting that both are user-friendly but may cater to different user preferences in interface design.
Pricing
Entry-Level Pricing
Azure Custom Vision Service
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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