Added value through content management
We assist you with your content management needs and give you content support for your online marketing activities.
We can even visualise the added value of our services! Watch the video on the right (only available in German).
Well-structured content and data are crucial for efficient processing in the context of digital transformation processes – e.g. for automated product texts in e-commerce.
text2net structures and configures your content and data so that they can be processed in ERP/PIM systems or NLP solutions.
Our web services solutions for automated content and data extraction support you in this.
Automatic text generation is now widely used, e.g. for product texts in online shops, weather reports, stock market news or specialised news streams.
Well-made automated product texts based on Natural Language Processing (NLP) can no longer be distinguished from manually written texts. text2net supports you in the appropriate setup and configuration of the necessary processes for the NLP software.
If your content is not yet structured for text automation, our semantic Data Extractor can automatically read your content and convert it into a structured form.
We support the entire content value chain, from content digitization, data structuring, text automation and content enrichment up to delivering everything with our Smart Content Automation Services (SCAS). To achieve this, we also use AI technologies e.g. ChatGPT and machine learning.
text2net uses market-leading content management systems for website maintenance.
We are using state-of-the-art DAM, ERP and NLP solutions for our services in data management and text automation.
Our team conducts CMS training sessions for the international editorial teams of our clients.
Technological CMS developments are supported by our test management of new functionalities.
The services along the content and data value chain can be mapped with our Smart Content Automation Services (SCAS). This enables us to support you in content production, from semantic PDF analysis and data structuring to text automation and content enhancement.