In the context of the 2LIKE project, we have developed an innovative tool that supports students in improving the quality of their scientific and technical texts and at the same time relieves the burden on supervisors. The tool is aimed at students, who often have little experience in writing such texts, as well as supervisors, who cannot always provide detailed feedback on frequently occurring errors due to limited time capacities. The aim of the platform is to automate a large part of the feedback process, thereby both lowering the inhibition threshold for students to seek feedback and giving supervisors the opportunity to focus more on content-related aspects. Users can upload their LaTeX documents and download an annotated PDF with specific suggestions for improvement. Thanks to the modular structure of the tool, various analysis functions can be selected, including grammar checking, statistical style analysis, notes on missing citations, structural analysis and compliance with scientific writing standards. The platform is open source and is easy to install and operate thanks to its provision in a Docker container.