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Nanonets

Nanonets | 1

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External reviews

82 reviews
from G2

External reviews are not included in the AWS star rating for the product.


    Zephania R.

Very easy to use.

  • January 21, 2021
  • Review verified by G2

What do you like best about the product?
It is very helpful as per my case where I needed to have an OCR prototype for ID's information extraction, it saved my time and resources.
What do you dislike about the product?
For my experience there is nothing I disliked in using Nanonets.
What problems is the product solving and how is that benefiting you?
Information extraction in ID's and autofilling them in user sign up form.


    Higher Education

Solved my problem and made my work faster

  • January 16, 2021
  • Review provided by G2

What do you like best about the product?
I liked that it has really easy tutorials and different options depending on the problem you want to solve
What do you dislike about the product?
There are little examples when working with the python API
What problems is the product solving and how is that benefiting you?
I am working in a PDF-to-Text problem with educational material. The main benefit I have noticed from working with Nanonets is that the models are really accurate compared with other libraries.
Recommendations to others considering the product:
Take your time with the tutorials, they are helpful and will save you time later


    Gagandeep Singh N.

Extract info from all types of contracts

  • January 12, 2021
  • Review provided by G2

What do you like best about the product?
Ease of use, ability to intake large documents, and suitable pricing option for all types of business needs.
What do you dislike about the product?
It has been great so far. I have not faced any issues.
What problems is the product solving and how is that benefiting you?
Partnership contracts digitization, info extraction from tables, invoices, proposals.
Recommendations to others considering the product:
Nanonets is by far the best solution for large document digitization requirements. Must try for corporates looking for an easy to scale solution.


    prakash r.

Good to Know Nanonets

  • January 12, 2021
  • Review provided by G2

What do you like best about the product?
Accuracy and cost-effectiveness with customer support.
What do you dislike about the product?
To improve more accuracy to extract from handwritten documents.
What problems is the product solving and how is that benefiting you?
To extract from scanned documents and handwritten documents.


    Ron B.

Great product and team

  • January 10, 2021
  • Review verified by G2

What do you like best about the product?
Agile product tailored to our needs with a very responsive. Dedicated team
What do you dislike about the product?
We used a tailored made solution that is in the process, so the product is still evolving to our needs.
What problems is the product solving and how is that benefiting you?
Image recognition of restaurants menus


    Vivek Menon M.

Flawless

  • January 09, 2021
  • Review provided by G2

What do you like best about the product?
Custom model training is the major attraction.
What do you dislike about the product?
Hand written OCR is not that much developed.
What problems is the product solving and how is that benefiting you?
Extracting data from specific


    Craig S.

I am surprised at how much OCR accuracy has improved in the last 5 years

  • January 08, 2021
  • Review verified by G2

What do you like best about the product?
I achieved 100% accuracy with my first model (which was trained on just 11 document samples). This process was fast and simple. The native integration with Zapier via the API was initial hook, although I have subsequently hooked it into Integromat (the NanoNets API and doco were simple to understand).
What do you dislike about the product?
Slightly more expensive than the alternatives that I tried, but the advantage in accuracy and speed outweighed the additional expense.
What problems is the product solving and how is that benefiting you?
Our business has mobile work crews filling in handwritten inspection reports. Each of those forms has a unique pre-printed number. At the end of each work day these reports are scanned in a single batch and then automatically split into single page documents. The file is renamed based on the Nanonets extracted number...
Recommendations to others considering the product:
Enquire about options if the Pro Plan volumes are too high for your business application.


    Chidambaram M.

Useful for extracting info

  • January 07, 2021
  • Review provided by G2

What do you like best about the product?
Had the setup in place for collecting info from finance docs.
What do you dislike about the product?
Nothing much to dislike, it works pretty well
What problems is the product solving and how is that benefiting you?
Getting data from financial documents.
Recommendations to others considering the product:
Try use Nanonets if you need to extract data from finance forms.


    Joseph N.

Good OCR solution for documents like Resume

  • January 05, 2021
  • Review verified by G2

What do you like best about the product?
It automatically extracts information from Resumes without any manual correction
What do you dislike about the product?
It'll be useful to have different Resume categories
What problems is the product solving and how is that benefiting you?
Our recruiters would spend a lot of time to collect and organize info from Resumes and we're able to automate that with Nanonets


    UJJWAL G.

Great hands-on interface for document information retrieval.

  • December 15, 2020
  • Review verified by G2

What do you like best about the product?
The first thing which caught my eye was the great user interface. It helps you do the task without knowing a great deal about the Machine Learning behind it. I really liked the option where you can custom build your model from scratch.
What do you dislike about the product?
I find the fact that you require at least 10 examples for label a little displeasing. Latency/ Inference time could improved as well.
What problems is the product solving and how is that benefiting you?
I used Nanonets as a baseline to extract important information from invoices/receipts. I performed a comparative analysis against the model I built as a part of my fellowship at Insight Data Science. Nanonets clearly gave top notch results relatively to any other models I used.