Google Cloud Vision API

Google Cloud Vision API is a tool that enables developers to understand the content of an image by encapsulating powerful machine learning models in an easy to use REST API, it quickly classifies images into thousands of categories (e.g., "sailboat", "lion", "Eiffel Tower"), detects individual objects and faces within images, and finds and reads printed words contained within images user can build metadata on image catalog, moderate offensive content, or enable new marketing scenarios through image sentiment analysis.

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8.2/10 (Expert Score) ★★★★★
Product is rated as #24 in category Image Recognition Software
Ease of use
9.1
Support
8.0
Ease of Setup
0.0

Derive insight from images with our powerful Cloud Vision API

Google Cloud Vision API
Google Cloud Vision API

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Customer Reviews

Google Cloud Vision API Reviews

G2 User in Information Technology and Services

Advanced user of Google Cloud Vision API
★★★★★
Ideal for team that is working on building a product around OCR

What do you like best?

Pros: 1. The accuracy is way higher as compared to other professional OCR engines available in the market for the use case that I am tackling.

2. Response time is decent (though it depends on the sizes of the images uploaded to the service)

3. Easy to configure and setup

4. The pricing scheme is also very good, its pay per use

5. Does not require any image pre processing for most of the OCR use cases, just upload an unprocessed image. Most of the heavy weight lifting for OCR process is done by the service

6. Provides an excellent benchmark if you are planning to build your own OCR engine.

What do you dislike?

Cons: 1. Documentation could be improved

2. The logging from the library could be improved to better understand failure scenarios

3. It would be good have an offline service too, always requires a connection to the internet. (Unlike its counter part mobile vision)

4. Once or twice I have observed that their backend update to the service added some extra OCR characters to the response, which broke the logic I had previously built on. So, there is a need to constantly check the response being returned from the service

5. Some advanced configurations that could be useful are missing or not documented. For example, there is no font training available with the service.

Recommendations to others considering the product:

Definitely recommended if your OCR solutions has access to internet

What problems are you solving with the product? What benefits have you realized?

Problems :

1. Generic OCR problems

Benefits

1. Best accuracy in the industry for an off the shelf generic OCR

2. Fast

Review source: G2.com

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