[coulix]

This.

Any complex parent table span cell relationship still has low accuracy.

Try the reverse, take a complex picture table and ask Chatgpt5, claude Opus 3.1, Gemini Pro 2.5 to produce a HTML table.

They will fail.

[bobsmooth]

Maybe I misunderstood the assignment but it seems to work for me.

https://chatgpt.com/share/68f5f9ba-d448-8005-86d2-c3fbae028b...

Edit: Just caught a mistake, transcribed one of the prices incorrectly.

[kbumsik]

Right, I wouldn't use full table detection to VLM model because they tend to mistake with numbers in table...

[pietz]

Maybe my imagination is limited or our documents aren't complex enough, but are we talking about realistic written documents? I'm sure you can take a screenshot of a very complex spreadsheet and it fails, but in that case you already have the data in structured form anyway, no?

[kbumsik]

> realistic written documents?

Just get a DEF 14A (Annual meeting) filing of a company from SEC EDGAR.

I have seen so many mistakes when looking at the result closely.

Here is a DEF 14A filing from Salseforce. You can print it to a PDF and then try converting.

https://www.sec.gov/Archives/edgar/data/1108524/000110852425...

[daemonologist]

Now if someone mails or faxes you that spreadsheet? You're screwed.

Spreadsheets are not the biggest problem though, as they have a reliable 2-dimensional grid - at worst some cells will be combined. The form layouts and n-dimensional table structures you can find on medical and insurance documents are truly unhinged. I've seen documents that I struggled to interpret.