This discussion highlights the transition from traditional Optical Character Recognition (OCR) tools to more advanced Vision Language Models (VLMs). Users are experimenting with VLMs like Gemini 2.0 Flash, which provide improved performance and reliability for document processing, particularly with simple to medium-complex forms. There is an appreciation for the models' capability to analyze not just text but also the context, which allows for interpreting whether a string is a timestamp or another type of information. Key advantages noted include lower costs and the convenience of analyzing documents with less manual training. The capability of VLMs to perform text detection and handle more complex data structures, such as converting flowcharts to YAML, is also being explored. Concerns were raised about the speed of these models compared to traditional OCR, and there is interest in using local GPUs for processing.