Google Cloud Vision API Reviews & Product Details

Accurate and Reliable Results,Capabilities (can detect various things and scenario like OCR, landscape, face, etc), easy Integration Review collected by and hosted on G2.com.

While Google Cloud Vision API provides powerful pre-trained models, it may have limitations when it comes to customization. Users might encounter scenarios where they require to training with specific data to achieve optimal results. In such cases, alternative solutions that offer more customization options may be preferred. Review collected by and hosted on G2.com.

The Google Cloud Vision API integrates with UiPath very easily and effectively, and it offers better features than UiPath's computer vision tools. Review collected by and hosted on G2.com.

Our use cases make it cost-effective, even though it is not the cheapest option. Review collected by and hosted on G2.com.

The reliability of the service is very good. We never had any downtime. The system is very good at extracting the text out of receipts and it does give you basic data points very accurately. Google keeps updating its OCR engine in the back end so over time you will keep getting better and better results. The cost of the API requests is very low so it's very good for large scale projects. Review collected by and hosted on G2.com.

The system fails when we look for retailers it does not give the correct result for retailer identification. If you want to use bigger size images then you have to upload images to Google Cloud first then you have to use their async API to get results. I do understand that for reliability Google Will prefer their internal storage rather than someone else but what if the company is already using AWS S3 and they want to use your async service? in that case, you will have to keep two copies of the same image one on Google cloud and one on AWS S3. Review collected by and hosted on G2.com.

Making easy to use and tracking cross device which makes easy to understand and help in Better decision. Easy for the beginners. Review collected by and hosted on G2.com.

It some time slow to load but it is good for beginners. Review collected by and hosted on G2.com.

It's ability to find out all the explicit contents from an image is very useful. It is also able to identify the violence or any dangerous weapon or act is being shown in any image or video, helps block that relevant graphic from entering into our severs and production feeds. This is one of the best tool to fight spam and violence over the web which gets viral pretty soon in today's modern digital era. Works in almost all devices like a PC, android, even in platforms like cars, stations, various IoT devices and can be integrated with a lot of digital devices today and in the coming future as well with the power of Google as it's core platform Review collected by and hosted on G2.com.

Sometimes, it is not able to verify few explicit materials and violent graphics although it is improving day by day withe the help of more accurate algorithms and machine learning Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Text recognition is really convenient to use, work really well and its pretty reliable Review collected by and hosted on G2.com.

It hard to use via terraform and it sometimes times out Review collected by and hosted on G2.com.

Google Cloud vision api is developed for training and testing computer vision models and also reusing the pretrained models developed by the computer vision team.It is very simple to use,you just have to create your account on google and get yourself api key and enable cloud vision api,Thats it you are ready to go.It is so much simple but accurate enough to give you precise results.Moreover if you are a newbie you get 300$ credits on google cloud which you can use for cloud vision API.I'll give you one example about its simplicity.Suppose you want a ocr for your software and you don't have time to code it from scratch at that time you use pretrained OCR model of google vision to detect characters from the image.It give you accuracy of 80% which is more than good for a pretrained model. Review collected by and hosted on G2.com.

The pricing is little high and if you are using it for personal use than definetly its gonna be heavy on you pocket. Review collected by and hosted on G2.com.

Very effective in reading text and handwriting, and also in describing images Review collected by and hosted on G2.com.

Can't read common formats, especially PDFs. Preprocessing PDFs into images feels like something Google should do on its own backend Review collected by and hosted on G2.com.

Its super easy to use and really precise when using the API to predict the images. Review collected by and hosted on G2.com.

Just the UI wasn't per the Google's standard it can be more intutive Review collected by and hosted on G2.com.