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Compare Google Cloud AutoML Vision and Google Cloud Vision API 
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At a Glance
Market Segments
Small-Business (66.7% of reviews)
Small-Business (54.9% of reviews)
Entry-Level Pricing
No pricing available
Free Trial Per Month
Google Cloud AutoML Vision
Star Rating
(15)4.2 out of 5
Market Segments
Small-Business (66.7% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Google Cloud AutoML VisionGoogle Cloud Vision API
Star Rating
(83)4.4 out of 5
Market Segments
Small-Business (54.9% of reviews)
Entry-Level Pricing
Free Trial Per Month
Browse all 2 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- 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, while Google Cloud AutoML Vision scores lower at 8.5, indicating it may not be as robust in this area.
- Reviewers mention that the Text Detection feature in Google Cloud Vision API is highly effective, scoring 9.2, which is significantly better than Google Cloud AutoML Vision's score of 7.9, suggesting that users find the former more reliable for extracting text from images.
- G2 users note that Google Cloud Vision API's Emotion Detection feature is rated at 8.3, providing a solid understanding of emotional context in images, whereas Google Cloud AutoML Vision's score of 8.1 indicates a slight disadvantage in this capability.
- Users on G2 highlight that Google Cloud Vision API offers superior Facial Analysis capabilities with a score of 9.0, compared to Google Cloud AutoML Vision's 8.3, suggesting that the former provides more detailed insights into facial features and expressions.
- Reviewers mention that Google Cloud Vision API's integration capabilities are rated at 9.1, making it easier to connect with other tools and platforms, while Google Cloud AutoML Vision's score of 8.1 indicates it may have fewer integration options, which could limit its usability in diverse environments.
- Users say that both products have similar scores for Model Training at 8.8, but Google Cloud Vision API is often praised for its ease of use and setup, with scores of 8.9 and 8.8 respectively, while Google Cloud AutoML Vision's scores of 8.0 in both areas suggest a steeper learning curve for new users.
Pricing
Entry-Level Pricing
Google Cloud AutoML Vision
No pricing availableGoogle 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.
Free Trial
Google Cloud AutoML Vision
No trial information availableGoogle Cloud Vision API
Free Trial is available
Ratings
Meets Requirements
8.3
9
8.8
75
Ease of Use
8.0
9
8.9
74
Ease of Setup
8.0
5
8.8
33
Ease of Admin
8.7
5
8.0
29
Quality of Support
8.7
9
8.7
69
Has the product been a good partner in doing business?
8.0
5
8.7
27
Product Direction (% positive)
8.7
9
8.9
73
Features by Category
Recognition Type
8.1
6
8.3
51
8.5
8
9.3
51
7.9
7
9.2
53
8.1
7
8.3
48
8.1
6
8.6
45
8.9
6
9.0
50
7.4
7
8.7
47
7.1
7
8.6
45
Facial Recognition
8.3
7
9.0
48
7.4
7
8.7
44
Labeling
8.8
8
8.8
46
8.5
8
8.9
44
8.5
8
9.0
46
Deployment
8.1
8
9.1
47
Categories
Categories
Shared Categories
Google Cloud AutoML Vision and Google Cloud Vision API are categorized as Image Recognition
Unique Categories
Google Cloud AutoML Vision has no unique categories
Google Cloud Vision API has no unique categories
Reviews
Reviewers' Company Size
Google Cloud AutoML Vision
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Cloud Vision API
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Computer Software
26.7%
Information Technology and Services
13.3%
Automotive
13.3%
Retail
6.7%
Marketing and Advertising
6.7%
Other
33.3%
Information Technology and Services
24.4%
Computer Software
19.5%
Transportation/Trucking/Railroad
3.7%
Financial Services
3.7%
Banking
3.7%
Other
45.1%
Alternatives
Discussions
Google Cloud AutoML Vision has no discussions with answers
Google Cloud Vision API has no discussions with answers
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