DeepSeek OCR

(github.com)

990 points pierre | 1 comments | 20 Oct 25 06:26 UTC | HN request time: 0.201s | source

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pietz ◴[20 Oct 25 08:49 UTC] No.45641449[source]▶

My impression is that OCR is basically solved at this point.

The OmniAI benchmark that's also referenced here wasn't updated with new models since February 2025. I assume that's because general purpose LLMs have gotten better at OCR than their own OCR product.

I've been able to solve a broad range of OCR tasks by simply sending each page as an image to Gemini 2.5 Flash Lite and asking it nicely to extract the content in Markdown under some additional formatting instructions. That will cost you around $0.20 for 1000 pages in batch mode and the results have been great.

I'd be interested to hear where OCR still struggles today.

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raincole ◴[20 Oct 25 08:58 UTC] No.45641533[source]▶

>>45641449 #

If you can accept that the machine just make up what it doesn't recognize instead of saying "I don't know," then yes it's solved.

(I'm not being snarky. It's acceptable in some cases.)

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1. KoolKat23 ◴[20 Oct 25 15:27 UTC] No.45645028[source]▶

>>45641533 #

These days it does just that, it'll say null or whatever if you give it the option. When it does make it up, it tends to be limitation of the image qualify ( max dpi).

Blotchy text and specific typeface make 6's look like 8's, even to the non-discerning eye, a human would think it's an 8, zoom in and see it's a 6.

Google's image quality on uploads is still streets ahead of openai for instance btw.

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