Hey there, data enthusiasts! I’m excited to share a tool that could revolutionize the way we extract data from PDFs for dataset creation. As someone who’s spent hours copying data by hand, I know how frustrating it can be. That’s why I built a PDF table extraction tool that can pull structured data from PDFs with ease.
The tool, available at sheetops.io, has been trained on 100 million table cells from public datasets and can handle even the most complex tables, including those with merged cells, rotated scanned documents, and handwritten data collection forms. With support for over 70 languages, it’s perfect for international data collection.
But I don’t just want to toot my own horn; I want to understand how this tool can fit into your dataset creation workflows. So, I’m asking for your feedback: what types of data do you typically extract from PDFs for datasets? How do you currently handle PDF table extraction? What format do you need the output in? And what would make this tool worth integrating into your data pipeline?
To sweeten the deal, I’m offering free processing for anyone willing to share their dataset creation workflow. Let’s work together to make data extraction easier and more efficient. So, what do you think? Share your thoughts in the comments below!