Document classification
Classifying documents got easier with AI.
See how you can implement that to your workflow!
Efficiently categorize your text documents with document classification. Our advanced smartClassify solution uses machine learning algorithms to automatically classify documents into predefined categories based on their content.
Say goodbye to manual classification and take advantage of our advanced solution today. Upgrade your workflow to this customizable solution.
What is smartClassify?
Streamline Document Classification
Categorise documents based on their content and layout, including advertisements, delivery notes, emails, forms, handwritten documents, and invoices. Organize your documents neatly and efficiently.
Time-saving AI tool
By automating the document classification process, our tool saves you time and effort, increasing your productivity by focusing on important tasks that only a person can tackle.
Trained on a Diverse Range of German Language Documents
Our AI model is trained on a wide variety of German language documents. This makes smartClassify highly adaptable, capable, and efficient in accurately categorizing documents in different industries and contexts.
How to use smartClassify
To find out whether this solution will work for your business model, please follow the link here.
other services
Text Recognition
Document
Classification
Information
Extraction
Receipt, Invoice and Table data extraction trained in English and German. Compatible with different file layouts and templates. One-step solution for businesses where speed is imperative.
Page Stream Segmentation
Automated document processing helps separate batches of PDF documents, invoices, and large documents—a quick and efficient way of separating large volumes of data, making categorizing much easier.
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Extracted Text
Even when your only technique is asking questions, there are many ways to get to the information you are seeking. I’ll go further into the types of questions in Chapter 6, “How to Ask Questions.” The phrasing of the question itself leads to a variety of techniques. If one of your research objectives is to understand how people are managing their digital music, you might ask your participants specifically, “What is your process for updating your playlists?” With that question, the participant is being asked to verbally summarize a (potentially detailed) behavior, from memory. This isn’t necessarily a bad approach; it may be interesting to hear which steps in the process are memorable and which ones aren’t. It’s also a chance to get some emotional color. (“Oh, it’s easy, all I do is….”) But it’s not going to be the most accurate information. By asking, “What is your process for updating your playlists?” we are actually learning the answers to the (unasked) “How do you feel about the process for updating playlists?” and “What are the key steps you can recall in the process for updat- ing playlists?” That information is very important, but it may not be sufficient to really understand the user’s situation.