I like the flexibility of Nanonets, as it can take information from documents that would otherwise need manual review and turn it into structured data that we can actually use in our workflows. It's relatively easy to work with and, once configured correctly, it saves significant time on repetitive operational tasks. I appreciate being able to combine document processing with more advanced automation rather than using it just as a basic OCR tool. The support has also been positive; the team was responsive and willing to find a better solution for our usage and plan requirements. What stands out most is how adaptable Nanonets is across different workflows, helping us connect extracted data with other systems and operational steps. Review collected by and hosted on G2.com.

Some of the more advanced configurations can require a little experimentation before getting exactly the result you want. I would also like to see even more flexibility and transparency around credit usage and plans, especially for businesses whose usage can vary significantly from month to month. Review collected by and hosted on G2.com.

I replaced this with Gemini 3.1 Flash. No training required and real 100% accuracy. The cost savings with Google Gemini are HUGE. Review collected by and hosted on G2.com.

It's relaibility and availability. It's price. It's ease of use. Review collected by and hosted on G2.com.

We had a unique use case for the Nanonets team to tackle and they met the challenge with expertise. We are not in the "OCR"-field, and they were patient with our questions, with open lines of communication and suggestions for solutions throughout the setup. The platform itself is user-friendly (see aforementioned "not in the OCR-field"), and we access it constantly at our own leisure. They embedded themselves in our original research objective and have been the connection point across our multiple vendors and platforms. We keep coming back with requests for additional services and they have delivered on each so far. They have been a huge asset in our data collection process, saving both time and headaches for our team. Review collected by and hosted on G2.com.

The initial customer service response time was slower but they have implemented a support team that has addressed this issue. Review collected by and hosted on G2.com.

Out of the box the OCR recognition is pretty good. But the implementation and support teams take this service to another level because they are very responsive and cater their platform to your specific needs. The Nanonets team also did the initial model training work as well as provided custom logic to match to fields in our ERP for integration. Even after implementation when using support they have been able to add features from my feedback and continue to add to the platform. There are plenty of options for integrations and they frequently add more. Review collected by and hosted on G2.com.

I don't have many complaints about Nanonets platform. It can be a little pricy if your volume is not high. I'd like to use the system for other purposes aside from our main model, but I cannot justify the cost of additional models for the low volume documents. Review collected by and hosted on G2.com.

The technology is advanced, accurate and easy to use and scale. The team who supported us ensured that we used their technology in the most effective ways. When challenges occurred the Nanonets team would work together with us to better understand, and they even let us use some customizations to ensure we were successful. A highlight of the product is that its OCR technology is more advanced (by far) than anything else we saw. We did a thorough evaluation of competing technologies and no other tool would get the accuracy, speed, ease of integration and scaling we got with Nanonets. Review collected by and hosted on G2.com.

Our project involved working with hundreds of thousands of challenging files. Some were really old. A nice capability could be to have more control on which files have already been processed and which haven't (for example, if we needed to reprocess one single page of a PDF, we would need to extract it manually and upload it manually to the platform). It would be very useful to have a control tool that could simplify that. Knowing who is training models that are generating a proper output and who is not could also be welcome. Review collected by and hosted on G2.com.

The setup of the system on our site was seamless, thanks to the assistance provided by the Nanonets team. They guided us through the comprehensive process of building, pre- and post-processing our files to achieve the best output. The system interface is intuitive, making it easy to navigate across models and files, whether they are in recognition or already recognized. It's important to mention that the customer support is top-notch; they promptly respond to any reported issues and address them as quickly as possible. Review collected by and hosted on G2.com.

There are some not-really critical issues with recognition since our case requires some correction of files provided in the pre-processing stage. Sometimes, it is too many emails. Review collected by and hosted on G2.com.

Nanonets uses sophisticated algorithms that accurately extract data from invoices, even with complex or non-standard layouts. The AI continuously learns and improves its extraction accuracy, reducing manual data entry errors and saving significant time for our team. The platform also allows users to create highly customizable workflows that can automatically route invoices, trigger approvals, and perform actions based on specific rules. Review collected by and hosted on G2.com.

Nanonets' invoice processing and workflow automation features may require substantial initial setup and configuration.

The platform's pricing model might be less transparent or more expensive than some competitors, especially for small to medium-sized businesses.

Manual verification might still be necessary, potentially reducing the expected efficiency gains in some cases. Review collected by and hosted on G2.com.

It has saved us numerous hours per week that we would have otherwise spent in triaging and classifying incoming emails into those relevant for each department.

Apart from the initial onboarding setup, the entire workflow is now managed in-house which is super efficient, especially since we don't have technical expertise. Review collected by and hosted on G2.com.

The pricing is quite high right now at our current usage levels, but as we scale our processes and volume discounts kick in I hope we can settle at a more comfortable range. Review collected by and hosted on G2.com.

OCR engine's features, mainly in terms of training the engine with the documents, the vast range of the different types of documents supported, the zero-training model and the facility to quickly add additional training data on the fly is really good. The quick support provided by the CSR representative from Nanonets and that to over the calls is really appreciating. Review collected by and hosted on G2.com.

The payment and subscription management module sometime eats of additional time in managing the payment methods, or updating the information for the corporate financial records. This can be improved. Review collected by and hosted on G2.com.

The software is easy to use, but is very flexible technically for our needs. The support has been great since the very start. They are very quick to address our questions and needs that we have. Even during the evaluation process, Nanonets stood out from others as willing partners to get our needs met.

It didn't take us too long to get our first implementation into Production. We have weekly meetings to go over our next Production implementations and to address any questions that we may have. Along with the service and support, the actual Nanonets solution is easy for the users to use and navigate. And the solution allows customization using Python, lookups, and custom data actions that allow any business need to be addressed. Review collected by and hosted on G2.com.

The only thing that comes to mind is sometimes the OCR mappings are incorrect, less than 1%. This hasn't been a major issue for us, and maybe part of the initial AI training process. I imagine other OCR solutions have similar issues as well. Review collected by and hosted on G2.com.