This is just a company advertisement, not even one that’s well done. They didn’t benchmark any of the real leaders in the space (reducto, extend, etc) and left Gemini out of the first two tests, presumably because it was the best performer (while also being multiple orders of magnitude cheaper).
I have been recently looking into extracting a bunch of details from a set of legacy invoice PDFs and had a subpar experience. Gemini was the best among the ones that I tried, but even that missed quite a bit. I'll definitely give this a look.
It seems like such a crowded space and there are many tools doing document extraction, I wonder if there's anything particular pulling more attention into the space?
I just tried it out and docling finished in 20s (with pretty good results) the same document which in Tensorlake is still pending for 10 minutes. I won't even wait for the results.
This would be more helpful if it included DeepSeek-OCR, PaddleOCR-VL and MinerU 2.5. In general, I've found that OmniDocBench is a reliable benchmark, perhaps surprisingly because it is made by the same team as MinerU. They updated their benchmark table recently: https://github.com/opendatalab/OmniDocBench#end-to-end-evalu.... There are some other models that score above DeepSeek-OCR as well that I'm not as familiar with.
5 comments
[ 0.24 ms ] story [ 21.9 ms ] threadIt seems like such a crowded space and there are many tools doing document extraction, I wonder if there's anything particular pulling more attention into the space?