Hi everyone! I’ve been trying out Scholarcy for my team over the past couple of weeks, mostly to help us quickly pull key data from market research PDFs. It’s been a huge time-saver for finding summaries and references.
One thing I’m really struggling with, though, is handling tables. Scholarcy often highlights tables it finds in the PDFs, which is great, but I can’t figure out how to get that structured table data *out* and into something like a CSV file for further analysis. Right now, I’m either copying bits manually (which defeats the purpose) or just viewing the table in the flashcard.
Is there a built-in export feature for this that I’m missing? Or is there a specific workflow you all use? For example, if Scholarcy extracts a table of competitor pricing from a report, I’d love to just export that directly to Excel. Any tips would be so appreciated!
Small team, big decisions
Oh man, I feel your pain. Scholarcy is fantastic for spotting tables, but getting that clean data out is a whole other battle. From what I've seen, there isn't a direct "export table to CSV" button, which is a real gap.
My team's workaround is a bit clunky, but it beats manual copying. When a table is highlighted in the flashcard view, we use the browser extension's "Copy text" function (right-click on the table area). That usually gets a semi-structured text blob with tabs or spaces separating columns. We paste that into a text editor first to clean up any obvious line breaks, then import it into Excel using the "Text to Columns" wizard, using tabs as the delimiter. It's... not elegant.
I'm curious if anyone has a script or a different tool they pipe the Scholarcy output into for this? Like a quick Python parser?