elevait in:docs

Automated document processing within the company

The intelligent solution to read documents automatically and precisely extract relevant data. With the help of artificial intelligence, the software supports efficient and digital data processing in business processes. Simplify your manual document management!

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> 90%

accurate acquisition of data


processing of documents in real time


less manual effort & time savings

Minimization of manual processes & labor

How does document processing automation work with AI?

Support with elevait in:docs

  • Automated data capture of documents with machine as well as handwriting

  • Processing of text & image with AI-based software, combined with processes like OCR

  • Extraction of data, information and knowledge from a wide variety of data sets

  • Classification of documents for accurate delivery to the target system

  • Intelligent rule application in data processing to integrate individual expertise & know-how

  • Intuitive web application and integration with third-party applications and existing infrastructure

Self configuration of individual requirements for extraction

Conservation & enrichment with expert knowledge of our employees

Automatic improvement through learning AI

Processing of header & position data

Document processing of all common document types and formats



Order confirmation

Change form

Delivery bill

... and more

The efficient technology in your company: Automated document processing

Your way to the solution elevait in:docs


Common understanding of the process

Based on individual business processes, we develop a joint project plan and define the KPIs.


Data analysis

We create a mutual understanding of the data situation.Afterwards the data is prepared for machine learning.


How your project continues

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Thaddäus Strobel

Contact person
elevait in:docs

elevait in:docs

The AI software enables automatic document capture in the enterprise and extraction of relevant data to support efficient and digital data processing of any document.

Request demo now!
graphic in:docs

Knowledge-based automation in business processes with semi-structured documents

We simplify the organization and processing of semi-structured business documents - whether letter, fax or e-mail.

elevait in:docs recognizes and classifies documents and extracts contained information - including validation.Our product in:docs can be easily integrated into an existing infrastructure.
Generic, pre-trained AI models allow in:docs to be used in no time. Our proven onboarding process allows for a quick evaluation of usability and any necessary customizations.

Documents are processed in near real-time in secure, certified data centers in Germany. We guarantee data security and processing based on business and regulatory requirements.

graphic of the structure of a document

Knowledge-based automation is the encapsulation of
process knowledge in machine-readable form in combination with machine learning techniques.

Core features of elevait in:docs

Every day, organizations process a large number of different business documents at great expense. Only with efficient, scalable processes can organizations survive in an increasingly fast-paced competitive environment. This ties up resources and blocks important key competencies for building and scaling sustainable competitive advantages.
Our product in:docs helps to master these challenges.

screenshot of a delivery bill in the Processing

General core features

  • Processing of different business documents such as orders, invoices or delivery bills
  • Automatic reading of machine and handwriting
  • Generic knowledge extraction of header and item data, even with multi-line descriptions or complex table headings
  • Automatic application of freely definable validation and plausibility rules to business documents
screenshot of  the custom presorting by a document

Document preprocessing

  • Custom presorting by document type
  • Automatic quality improvement of the digitized documents
  • Text recognition using neural networks and OCR (Optical Character Recognition)
screenshot of the bounding boxes with the keys

Knowledge extraction

  • Recognition of features and correlations using deep learning and image processing algorithms
  • Custom interpretation of the extracted information
  • Validation and plausibility check according to process-specific specifications
Screenshot of a doumentview as JSON-format

Knowledge automation

  • Merging semantically interpreted information
  • Customized conversion to machine-readable target format
  • Triggering of subsequent processes
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elevait in:docs in numbers - an example:

Invoice processing is a major hurdle in organizations.
over 350.000

annotated feature classes 2021


feature classes

over 90%

detection rate

Advantages with in:docs

Predefined features and pre-trained knowledge models
Multidimensional technology approach for intelligent document processing
Use of a flexible and semantic data and knowledge format


Inefficient, complex and error-prone processes

Complex, inefficient processes are often an obstacle to growth or concentration on the core business. For greater competitiveness or in critical phases, fast response times but above all specialist knowledge are required when processing business documents.

A lack of digital workflows also makes it difficult to capture, validate and transfer data in multidimensional IT landscapes.


Scaling and efficiency in business processes with diverse business documents

elevait in:docs captures and sorts business documents as they come in using a digital workflow. This allows various documents such as scans, faxes or PDF documents to be pre-processed without manual transmission. Highly accurate knowledge extraction, customized validation and knowledge representation reduces long turnaround times, high costs or regulatory risks through fast processing and permanent availability. Preconfigured APIs and interfaces ensure fast integration.

contact person Fabian Kretschmann
Contact person

Fabian Kretschmann - Product Manager in:docs