Truly refreshing document digitalization

Process your

automatically.

Unlock the full potential of your documents using machine learning.

Spend time with your customers – not your documents

Boost customer success

Reduce the number of hours you spend with documents by more than 80% and provide first-class service to your customers instead

Empower your analytics

Convert your documents automatically into structured data and enable analytics on a broad scale

Deliver on your digital strategy

Replace repetitive and error-prone manual tasks and increase satisfaction of your employees and your clients

Discover how your company can benefit every day

MINT.extract is the solution to process your documents automatically

Is MINT.extract for you?
Have a look at our offerings!

News

November 2019

Three things you should consider when preparing a training set for your machine learning system

We listed three important points to keep in mind if you want to put together a training set which will make your machine learning system perform at its best.

September 2019

The pain points of document digitization

In August, we attended the Swiss IT fair topsoft and conducted a little survey on the digitization of documents. Read about our findings in our latest article.

July 2019

Machine Learning, Documents and MINT.extract

After the launch of our technology MINT.extract as a standard product, we asked Aaron Richiger, our machine learning expert and research lead, a few questions about the use of machine learning in MINT.extract. Read his answers here.

May 2019

Data Security at turicode

Our customers regularly voice questions about the security of their data as it is often their most important asset. turicode is aware of this and therefore processes sensitive customer data based on the highest security standards. This article explains how we deal with data security.

March 2019

Documents to Value: Part IV - IT Architecture

The fourth and last article in our series “Documents to Value” is now online. We have outlined our best practices in integrating a machine learning project into an existing IT architecture.

January 2019

Documents to Value: Part III - User Experience

The third article in our series “Documents to Value” is now published. Learn more about how users can easily label their documents and train specific model.

November 2018

Documents to Value: Part II - Machine Learning

The second article in our series “Documents to Value” is now published. Learn more about how we use Machine Learning to gain information from documents.

November 2018

turicode presents a Use Case at the CognitiveTank by SwissCognitive

turicode digitizes purchase orders for Wärtsilä, which must be processed daily as PDFs or scans. We present this project together with Wärtsilä at the CognitiveTank organized by SwissCognitive. We are excited to present an example of how MINT.extract in combination with learning systems creates new possibilities in digitalization.

August 2018

turicode on the Swiss Artificial Intelligence Startup Map

Our AI-based document analysis tool MINT.extract becomes smarter every day, allowing us to understand unstructured data in PDF documents by emulating the mind of a human reader. That is why Swisscom, a leading telecoms company in Switzerland, put us on the Swiss Artificial Intelligence Startup Map.

June 2018

turicode@swisstext 2018

We proudly presented a feature of MINT.extract that uses deep learning to divide pages into regions according to their content type at SwissText 2018 in Winterthur on 12.-13. June 2018. Are you interested in the technological background? Have a look at our poster!

February 2018

Documents to Value: Part I - Business Solution

It's time to unlock the full potential of your documents!
Read our article entitled "Documents to Value"!

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