The OCR service from Google Cloud Vision API was a great help, it can process extensive documents or images and return with excellent reliability the extracted text data to work with; combined with an RPA platform like Rocketbot, this allows us to automate many processes that needed a person to read images or documents many times over Review collected by and hosted on G2.com.

Perhaps at first the activation process of the account can seem time-consuming, especially since the Vision API has too many permission or options and for the first time user can even be overwhelming Review collected by and hosted on G2.com.

Google Cloud Vision API integrates with UiPath very easily and effectively. It offers better OCR and other tools than UiPath's computer vision. Review collected by and hosted on G2.com.

It is not the cheapest option, however it is cost-effective for our use cases. Review collected by and hosted on G2.com.

Google cloud vision API provide some benefits and features such as label detection, it helps in detecting and extracting relevant label from an image also it has best part is object detection. Review collected by and hosted on G2.com.

There is some drawbacks are in Google cloud vision API like , Cost this can be drawback for business,also it has limited accuracy and limited customization. Review collected by and hosted on G2.com.

Integration with other tools on Google Cloud! We use the vision API as a low cost technology to augment our other Ml and AI operations. Review collected by and hosted on G2.com.

Not always clear that there are limitations Review collected by and hosted on G2.com.

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.