ABBYY Vantage Reviews

Some of my clients are using ABBYY FlexiCapture for formal cognition. For example, it is used for processing Egyptian IDs and invoices. The solution also depends on templates, as we sometimes need to extract certain information from these templates. It varies from client to client.

The solution itself is valuable due to its ability to classify and extract information with embedded OCR, which is good. ABBYY has a very good OCR in both Arabic and English. 

Additionally, they have a new version called Vantage, which is cloud-based. However, we still work with the old version because most of our clients are government entities.

Based on our use cases, handwritten recognition for Arabic is not supported. If they are able to add handwritten capability for Arabic, it would be great for us.

I have been working with ABBYY FlexiCapture since 2019, so almost five years.

I would rate the stability of the solution as a nine out of ten.

I would rate its scalability as a nine out of ten.

I provide the first-tier support for clients. However, for ABBYY's support, I would rate them eight out of ten.

Positive

The initial setup is very simple and straightforward. It's part of our professional service where we do it ourselves. We do not allow our customers to set up FlexiCapture themselves.

We implement it ourselves as part of our professional service offerings.

I would say the pricing is in the middle. It's neither high nor low.

In Egypt, there are local brands, but they are not well known and do not have strong competitors for form extractions compared to ABBYY FlexiCapture.

Overall, I would rate FlexiCapture an eight out of ten. 

I do recommend it since I am selling FlexiCapture.

I am an IDP expert and have worked with robotic process automation tools and intelligent document processing solutions. I have partnered with ABBYY Vantage, using our platform to integrate OCS solutions for customer requirements.

The document preset creation feature in ABBYY Vantage has been very effective for data extraction. It is easy to use and operates in a low-code manner, helping both technical and non-technical users. The AI capabilities facilitate querying and document classification, and they have good post-processing capabilities.

ABBYY Vantage needs to incorporate interfaces similar to cloud and OpenAI chat to streamline workflows. Simplifying workflow creation by chatting with the system rather than dragging and dropping elements would make the platform more user-friendly, especially for non-technical users.

I have experience working with ABBYY Vantage for two to three years.

ABBYY Vantage is highly stable, and we have never had issues with its stability.

On a scale of one to ten, I would say the scalability of ABBYY Vantage is around seven to eight.

We had only one or two technical instances, so I would rate the customer service around seven to eight out of ten.

Positive

The initial setup was easy for me due to my six years of experience in this field. However, there is a learning curve for newcomers.

ABBYY Vantage has incorporated generative AI technology and enhanced integration capabilities, leading to better ROI.

The pricing of ABBYY Vantage is not great. I would rate it around five to six out of ten as there are other solutions available at a lower cost.

Based on my experience, I would recommend ABBYY Vantage to others. I would rate the solution around eight on a scale of one to ten.

We use ABBYY to extract data from PDF documents or images in any format. We process a lot of tax forms and support documentation for audits. ABBYY is used for reconciliation, invoice processing, and different segments of our business.

Vantage improves our operations by automating manual data entry, freeing staff to perform other tasks. Manual data entry doesn't require staff to use their brains. 

Eliminating this work gives staff additional time to do things that bring value to our customers and focus on what matters. Our employees who started using Vantage decreased the time spent on manual tasks by at least 30 percent. We realized these benefits immediately after deployment. We could put this tool into the hands of thousands of people quickly.

The OCR accuracy is high. Vantage is flexible and customizable. It's a low-code/no-code tool, so you don't need to get into detailed coding. You can just use AI to accomplish medium-complex tasks. ABBYY can process complex documents and supports around 230-250 languages. It's critical that ABBYY can recognize and correctly classify most documents. If it can't, that would just add to the manual work. 

The pre-trained AI models do a great job on invoices because the models are trained on a larger pool of documents, so they perform well with any new invoice we ingest. Tax forms and other templates don't work as well because they are newer models. However, as they process more samples and train the models, it will likely improve over time. AI is a relatively new offering, and it does a decent job.

The accuracy can vary depending on the quality and type of documents. If you have a good model and a high-quality document, you can process most of them end-to-end without human intervention. The rate is about 75 percent for our invoices.

ABBYY's support model could be improved because we get some complaints from customers regarding the amount of time it takes and the kind of responses we get. They also need to improve their professional services team and train them to support customers better during custom implementations. 

I have use Vantage for about 7 years.

Vantage is relatively stable. We haven't seen any major incidents, but it's probably because we have an on-prem deployment. 

I rate Vantage 8 out of 10 for scalability. It's somewhat scalable. They have Kubernetes and containers with auto-scaling options. They're still not 100 percent. You can scale it up, but the performance is still not perfect at scale. 

I rate ABBYY support 6 out of 10. They respond quickly and provide decent assistance. However, the mode of support creates some friction. They discuss all technical issues via email, so solving complex problems is sometimes hard. They need to get on a quick call or find another way to interact with customers better. It can be not easy because I need to write so many details. I think they're improving. I have offered this feedback in the past, and they are making some changes. It's still not there, but they are taking steps in this area.

Neutral

Before implementing ABBYY, we used OCR sporadically. We only started to expand our OCR use cases when we implemented ABBYY. People were using various small-scale OCR tools across the company. 

The deployment is in the middle. It isn't extraordinarily difficult, but I can't say it's easy. After deployment, the solution requires some maintenance, but it's manageable. We don't need vendor consultants for it. 

We used ABBYY's professional service engineers. They have some room for improvement. They had a good team when we initially deployed, but now we don't have the same view. I don't think they have the best team now. 

It's a pricey product, but the quality of the OCR is high, so you will see a return on that investment if you deploy it at a large enough scale. The pricing is a problem if you have a small operation. If you're dealing with lower volumes, the cost is too high. That's probably a barrier to entry for some organizations. 

ABBYY's pricing could be improved. I feel like they are losing out on some business because of their pricing. They could expand their customer base by offering more flexible pricing options.

We constantly evaluate competing products, including cloud-based ones like Google and AWS. We have also tried some open-source ones. ABBYY has better OCR quality. 

I rate ABBYY Vantage 9 out of 10. It's one of the oldest and best-performing OCR tools on the market. There are some problems, but we can work through those with the ABBYY team. They've been great at responding to our challenges. 

We support our customers with reimbursement processes, accounts payable, invoice processing, extracting data from weekly reviews and personal identification documents, and insurance claim processing. We have 5 customers who use the solution for whom we have implemented insurance claim processes, reimbursement, and invoice processing. These are our main use cases.

We had a workflow automation tool that we needed to improve. We wanted invoice processing and insurance claim processing via OCR. We were looking to expedite the extraction parts in the processes. However, we had a lot of custom documents that needed to be processed. Since ABBYY Vantage is flexible and customizable, we were able to train it on the UI, which was a key differentiator for us.

I like the modeling features. We can train the tool to extract the document. The processing is good. It is very easy to train a document. We like the manual review flow and the ability to embed it into our application.

I could do whatever I needed to do with the product. The main thing I like is the ease of use. I like that we can deploy it to train different documents for different languages and create and consume data catalogs. We can quickly integrate the catalogs with proper documentation.

The Advanced Designer flow is very powerful. However, I haven't been able to get around to it with the documentation. The product must provide more supporting documentation on the API capabilities of Advanced Designer.

I have been working with the product for 2 years.

We have five customers currently using the solution.

The tool is deployed on the cloud in a multi-tenant environment. The initial deployment was easy. We started before the product was live. We received a little bit of support from the engineers who did the integrations. The main hassle was the documentation. I deployed the tool myself. The services team onboarded other customers.

The number of pages we need to acquire to start using the solution is a little high. It doesn't give us margins to have a small use case. It starts at 50,000 pages. The price per page is high. We take the Brazilian real as a comparison.

I have used a couple of other products. However, not in the same way as we use Vantage. Vantage has a big cost associated with it. It is the main driver that would make us go to another solution. Vantage has the advantage of being easy and flexible to deploy.

We resell the product. We are partners. We do not have internal uses of the product. I do not contact support. I contact a representative usually. He escalates our calls to support. I am part of the initial deployment team.

The accuracy of the results produced by the solution's AI document processing is okay. It's good that it supports multi-page documents and tables. It's good that the product also has machine learning. We can enable it, and it will improve over time. Machine learning is one of the main things we use. We can train a small batch of documents from Brazil, and it can improve over time without needing to train a lot of documents.

Our customers are spread out. We have tried Portuguese, Spanish, Hindi, Chinese, French, and Italian documents. We had a good experience with the languages we tried. We have used the AI extraction models mostly for invoices. The main thing is to get the process up and running quickly. On the commercial front, there are many tables. We can quickly add a document in development and build a scenario for a demo. The implementation is very quick. We have five different customers in a matter of months.

Using ABBYY has helped us reduce manual data entry and free up staff for other tasks. Sometimes, the customer already has an ERP that does the extraction. We are just doing it upfront. The percentage of documents that go straight through processing has improved over time as the models get more advanced. It is the main metric we look at.

ABBYY provides "straight-through" processing, in which content is automatically extracted and delivered without manual processing. The quality is good. We set the rules. If it goes through, it means that none of the rules were broken. The main problem is to get the percentage high. We apply manual reviews, too. A percentage of the requests with an error in some rules go through a manual review.

We haven't had any solutions in production before. We have had backend solutions, but they were not IDP and were not comparable with ABBYY Vantage. Customers see an advantage in them. It is an extra cost. The price is justified by the ease of implementation of training different documents. If we just need one document or invoice, other products may be more cost-effective.

The main thing for me is to enable the users to do the manual reviews and improve the results themselves without needing to train or do a big batch of training with the team. The sooner we can get people trained in the process, the faster we will get the results. The newer tools coming up have more natural language, AI, and large language models. ABBYY is one of the best tools I used.

Overall, I rate the solution an 8 out of 10.

We use ABBYY Vantage for invoice automation.

Some of the most helpful features of ABBYY Vantage that I really appreciate are the accuracy and the multilingual capabilities.

ABBYY Vantage provides automation of content-centric processes.

ABBYY Vantage has AI features that learn automatically about invoice fields and related functionality.

The vendor invoice processing skill of ABBYY Vantage could be enhanced by adding more fields that are commonly used across multiple invoices.

I have been working with ABBYY Vantage for more than two and a half years.

The accuracy of ABBYY Vantage is not directly applicable to us as we use this in our product to implement it with our clients, and we are yet to see the impact.

We anticipate that ABBYY Vantage will help in reducing the time taken to process invoices.

As a product manager, I am not aware of the competitor pricing for ABBYY Vantage.

I cannot think of any significant flaws in ABBYY Vantage, and I am satisfied with its features, though I may not be using it extensively.

Overall, I would rate ABBYY Vantage an eight out of ten.

Our large scanning department receives documents from a variety of sources, including clients, suppliers, and others. We then standardize these documents by converting them into either electronic invoices or standardized PDF invoices. These are then uploaded to a web host, which transfers them to ABBYY for optical character recognition. Once converted to text, we extract relevant data from the invoices and transform it into an XML format. Finally, the XML data is sent to another service platform for further processing by a different provider. This provider reconstructs the invoices in a more consistent and detailed format.

ABBYY's interface is user-friendly after mastering the basics, and ABBYY University serves as a comprehensive knowledge base like Wikipedia. While updates sometimes require updates to the University as well, ABBYY does a great job of keeping it relevant and current.

The fast learning function was impressive, but we pushed it beyond its intended use. Despite using the software for an unintended purpose, the ABBYY team provided exceptional support that ultimately enabled the software to handle our needs. The OCR and overall document reading capabilities were excellent. Any issues we encountered stemmed from the supplier or the invoices themselves, not from ABBYY. Overall, ABBYY's product and its AI integrations are truly outstanding.

It handles our multilingual invoices well, recognizing Hindi, English, Arabic, Japanese, and Chinese. However, it struggles with international invoices that switch languages, like those starting in Chinese and ending in French. The blank area between languages confuses ABBYY's fast learning system, which focuses on character recognition. Unlike machine learning, fast learning can't adapt to the presence of multiple languages and struggles to differentiate between them. This limitation was anticipated when we implemented the system.

ABBYY's recent updates have been incredibly beneficial. The OCR accuracy has noticeably improved, allowing us to extract more data from documents and break down fields into even the smallest details. This granularity, down to individual notes on invoices, has been a game-changer.

The pre-trained AI extraction models have significantly improved our invoice processing efficiency. Previously, our data entry team could only manage around 150-200 invoices per person per day, which created a bottleneck when we were receiving 500-600 invoices daily. Now, with the AI handling the processing, we can effortlessly manage a much higher volume, closer to 2,000 invoices per day.

ABBYY has saved us around 85 percent of our time.

While ABBYY's straight-through processing initially appealed to us, we recently observed minor accuracy issues in the results. This suggests that our use case might be pushing ABBYY Vantage to its limits, as no one has likely used it for such a demanding task before.

ABBYY stands out for its collaborative approach. When we encountered issues or identified growth opportunities, they were receptive to our ideas, even implementing some of them into the product. This is evident in the recent Oceana sector updates, where many of our suggestions were incorporated. This responsiveness demonstrates that ABBYY truly values customer feedback.

While I understand that ABBYY eventually addressed the communication issue and apologized for it, the initial lack of response was frustrating. A simple explanation at the beginning could have prevented the whole problem. In my opinion, clear communication is the most important aspect of any service. Even if a company has a less-than-perfect product, I, as a customer, have chosen them for a reason. That's why I believe the best thing a supplier can do is prioritize communication, even if it's just automated responses acknowledging receipt of a message and providing an estimated response time. This is where ABBYY initially fell short, but things improved significantly once a director got involved.

The lack of patch update notifications creates a blind spot. Without them, we're unaware of new patches and can't proactively check if our code is compatible, potentially leading to issues down the line.

I have been using ABBYY Vantage for eight months.

ABBYY is stable, I'd rate it a nine out of ten, but there's still room for growth to improve both the company and its product.

I would rate ABBYY's scalability ten out of ten.

Before switching to ABBYY, we relied on a software solution developed internally by our own team.

Our initial deployment went smoothly thanks to excellent coordination and a well-structured plan. The clear separation between our development and production environments further ensured a successful rollout.

Our deployment typically takes a few weeks, even for large clients with heavy ABBYY processing. One such client was up and running in under a month. Our lengthy deployment was an exception and unrelated to ABBYY's performance.

ABBYY is fairly priced.

I would rate ABBYY nine out of ten.

Our organization has 12 ABBYY users, including developers, project managers, and general administrative staff.

Our target market isn't limited to a particular industry; rather, we focus on serving large-scale enterprise businesses, with a primary focus on the biggest players.

It doesn't require any maintenance from our side.

ABBYY offers competitive pricing and flexibility in their lease agreements. To help you decide, they'll provide a trial period and even generate a dummy invoice showing the estimated cost.

I recommend ABBYY for large businesses and enterprise users, rather than just any document processing unit. It caters to high-end users who need the advanced features it offers.

Our most common use case is sales order and invoice processing. The solution is used for this processing very, very frequently. 

We also use the solution as an OCR or OTP character reader that extracts data from unsecured documents. 

In the UK, there are particular protocols. For example, if you are getting a driver's license you have to go to the transport authority. They will check your eyes to ensure that you are not blind and are able drive a car.

We use the solution to extract that information and store it to our specs. We do OCR and then send the data to the UK government.

The solution allows us and the government to process information in a very accurate and fast manner.  

The solution's AI technology is genius. 

The solution has its own research and development center that is doing great work. 

The price for trainings or certifications are on the very, very high side. For example, if you want to get a certification, it might cost around 200 pounds for a six-hour course. 

The price is too high, in particular for typical development countries like Poland, Portugal, India, and the Philippines. As a result, it is not easy to get developers for when we are implementing projects. 

I have been using the solution for more than two years. I am currently working with the latest version but also used the previous version. 

In my company, I am the program manager and chief architect for all solutions. 

The solution is absolutely stable. 

The solution is scalable. 

If you have the on-premises model, then you might have to circle back with the vendor to procure more licenses or upgrade current licenses. Then you go to your workstation and install them. 

If you have the cloud model, then you can scale in ten minutes with a single click. 

We have contacted technical support a few times.

For example, we contacted them about documents that included handwriting. The handwriting was not as good as Oxford students. They determined that the AI was not yet mature enough to handle the handwriting.

They gave us a very, very satisfactory answer. Most companies would try to say that their product could perform. Instead, we got a concrete answer that was helpful and appreciated. 

The setup is very, very easy. 

We implement the solution in-house. First, we clear the licenses and then we give them to our developers. There is a technical process called templatization where developers create all types of sales orders, invoices, and documents. They do this using information that is provided by our store members or organization members. Once that is done, developers feed the items to the app system.

The app itself gives you the interface. The left hand side shows the original document and the right hand side shows you the digital document that has been converted by the solution. This process allows you to render changes if needed.

After that, everything is forwarded to the next development team such as our AI or machine learning team. 

The entire life cycle is not very long. It totally depends on the customer's volume but usually happens within two weeks. Ten templates might take two days. A volume of 10,000 templates might take six months. 

If you buy the IV licenses, then ongoing maintenance is included. 

Some of our customers have already experienced ROI and some have not. 

The solution offers both cloud and on-premises models but the pricing is on the higher side. Trainings and certifications are also expensive. 

The pricing changed very recently. It is based on how many scans or pages you convert from physical to digital. I am not on the finance side, but I think it costs around $20,000 USD for one million pages. 

The pricing is rated a six out of ten.

In the market, the best product is still Kofax Capture. It has been in the market a long time so is a much better product than others. 

In my opinion, the solution is the second best product for securing data from physical documents to digital format. It is a wonderful solution within the price range of many medium-sized companies. 

In a competitive analysis, I would rate Kofax a ten out of ten and the solution an eight out of ten. 

Before choosing the solution, it is important to consider the value or ROI you will get for the money. 

There are open-source tools in the market that do the same things for free. AWS has a tool that is pretty much open source or one-tenth the cost of the solution. Google and Azure also have solutions. 

If you want a truly accurate and exact enterprise solution, then you might want to move to the solution. 

I rate the solution an eight out of ten. 

We use Vantage for invoices and purchase orders. We have around eight members using it. It's good for the document types we use. I don't think we use many of the available skills. We use the invoices and purchase orders because that's what we need for our in-house product. We might use it in the future for remittances, 

The key fields that must be captured from a particular financial document are validated. This usually gives us 80-85 percent accuracy, which is good compared to other OCR tools. 

They're constantly adding patches that fix all those issues. They make improvements on the back end. ABBYY has made many enhancements recently. The address-conversion features are critical. It automatically converts the city and state name into the ZIP code.  That's a crucial feature we wanted that they've implemented.

Integration is very easy. There are lots of connectors. 

I would like better language support for Hebrew and Arabic. They're still working on that, and we might get an update by the end of this year. There is currently no support for those two languages because they write from the right to the left side. It would be great if they could add this as soon as possible because we have customers from the Middle East and Israel. 

We might need more machine learning or cluster things for ABBYY to learn from that and improve accuracy. There's a difference when you go into the invoices. If you have one template, we need one sample to clean it, but a purchase order may need a minimum of five samples. That's something I've noticed, but they might need to improve the machine learning. Generally, ABBYY's accuracy is better than other tools.

I've been working with ABBYY Vantage for nearly four years.

Vantage performs much faster than other OCR tools.

Vantage is scalable. We can integrate it with AI, ChatGPT, and RP tools. They have connectors. 

I rate ABBYY support nine out of 10. We reach out to them when we have issues that we cannot find solutions to on the community portal. They help us with the code and are always willing to hop on a call if needed.

Positive

Deploying Vantage is simple once we have access. To integrate it with our product, we only need to add the user IDs and passwords. We also need to write some code based on our requirements. It isn't very complicated. We previously used ABBYY FlexiCapture, but today, most of our clients use Vantage, so we use the latest cloud version of ABBYY Vantage.

ABBYY is continuously updating things, but we retain backups for 14 days in case anything happens, so it doesn't affect our end-to-end automation. Generally, it doesn't require much maintenance. 

I rate ABBYY Vantage eight out of 10. I would recommend it to others. We have some things we'd like to improve, but they will probably implement these improvements in the near future. 

ABBYY's machine learning requires a lot of training for some skills, but it's not much compared to other OCR tools. You can train a template using three or four samples, but with others, it has to go up to 10. The AI of other OCR tools is not good compared to ABBYY. However, they should add support for Arabic and Hebrew as soon as possible.

I use ABBYY Vantage in my company for extracting data from invoices, IDs, and contracts. I have also used ABBYY Vantage to extract data in English from different documents.

As my company operates in the Middle East, it is important for us to have a solution that accepts Arabic characters from documents. The most valuable feature of the solution is the extraction of data from passports and national IDs, a task that is generally difficult for most of the OCR engines to check data from such documents.

ABBYY Vantage is a product that does not include the Arabic language. From an improvement perspective, ABBYY Vantage should include the Arabic language.

I have been using ABBYY Vantage since 2018. My company has a partnership with ABBYY.

It is a very stable solution.

It is a scalable solution.

I work in a software company where there are more than 50 users of ABBYY Vantage.

The solution's technical support is very supportive.

In the past, my company used to use IQ Bot from Automation Anywhere. My company moved from IQ Bot to ABBYY Vantage to avail the latter product's features.

The product's initial setup is neither simple nor difficult.

If one uses ABBYY Vantage and is familiar with its components, I believe one can handle its setup phase. I think it is not a very basic solution.

The solution is deployed on an on-premises model. Depending on the projects undertaken by my company, I have also used the product on the cloud services by AWS.

ABBYY Vantage is a bit of an expensive tool. The payment model for ABBYY Vantage is such that a user needs to make payments for the number of pages consumed with the help of the tool.

I think my company chose ABBYY Vantage over other products in the market owing to the fact that it is a reliable product that offers stability, features, and capabilities to extract data from different documents. In our company, we tested ABBYY Vantage for many of our projects and saw that it delivers results.

I recommend ABBYY Vantage to those who plan to use it in the future, especially if you deal with complex, semi-structured, or unstructured documents since it is a dependable tool that provides high accuracy. Suppose a user wants to use a product to segregate financial documents and needs a tool that provides very high accuracy, then my company recommends ABBYY Vantage.

I rate the overall tool a nine out of ten.

We use the solution to extract the contents from documents like invoices and passports.

Verification Station is valuable. If the confidence level is lower than what we set, we can view it in Verification Station and correct it if there are any issues. For example, if the confidence value is 90%, and the confidence level of the extracted content is below 90, the documents will be pushed to Verification Station. We can check whether the document has been extracted correctly. If the values do not match, we can correct them.

It would be good if the product provided an AI-based prebuilt model that predicts and gives output. We can then verify and make changes if necessary.

I have been using the solution for almost three years.

I rate the solution’s stability a seven out of ten.

I rate the tool’s scalability a nine out of ten. Five to ten of our clients are using the solution. The number of users has reduced. There are other vendors who offer OCR solutions. Our clients are enterprise-level businesses.

Whenever we have issues, we raise a ticket, and we get a response from the support team.

Positive

The initial setup is not easy, but it is not complicated. It was pretty straightforward. I rate the ease of setup a five or six out of ten. The vendor provided all the documentation. We could raise a ticket if we had any doubts, and the team would help us.

Compared to most solutions, it is a good product. It has a lot of features. The extraction it provides is much better than any other vendor. Overall, I rate the tool a nine out of ten.