Vision API - pros and cons
May 01, 2026

Vision API - pros and cons

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with Google Cloud Vision API

we used Vision API to extract attribute values from medical devices images for internal purpose only. We have TBs of data to process in such and the response time was in within few seconds only. but for such a scale the processing time is coming out to be in months. then we had to introduce multiprocessing for speeding up.

Pros

  • Object detection is good
  • Get facial expressions across different faces from different part of the words
  • Used OCR for different languages in india

Cons

  • response Time is an issue
  • Google API is not available across different platforms as an integrated feature
  • Not able to add custom labels easily, the process is long for it
  • The overall impact is positive as it is pay as per use basis
  • I believe there should be enterprise plans for large scale use cases where it tends to get very expensive
  • some open source models provide similar functionality, so in cases of high cost we use those
It’s pretty easy to get started and the docs are good, plus it supports many features like OCR and image labeling. The accuracy is also generally good and it scale well for bigger use.
But the setup can be a bit confusing, especially with billing and permissions. and also the pricing is also not always very clear, and debugging issues sometimes take more time then expected.
Overall, it’s powerful tool but not the easiest for beginners.

Do you think Google Cloud Vision API delivers good value for the price?

Not sure

Are you happy with Google Cloud Vision API's feature set?

No

Did Google Cloud Vision API live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of Google Cloud Vision API go as expected?

Yes

Would you buy Google Cloud Vision API again?

Yes

Mostly Google Cloud Vision API is getting used for extracting values out of pdfs which are scanned images. We also tried using it in analyzing different images and their marketing campaign results based on different features it contains like color, objects, positioning, logos etc. Vision API could be used for in conjunction with LLM to provide a more detailed prompt for image generation.

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