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DeepSeek OCR

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990 points pierre | 1 comments | 20 Oct 25 06:26 UTC | HN request time: 0.207s | 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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kbumsik ◴[20 Oct 25 08:51 UTC] No.45641470[source]▶
> My impression is that OCR is basically solved at this point.

Not really in practice to me. Especially they still struggle with Table format detection.

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coulix ◴[20 Oct 25 08:54 UTC] No.45641501[source]▶
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.

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bobsmooth ◴[20 Oct 25 08:59 UTC] No.45641541[source]▶
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.

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1. kbumsik ◴[20 Oct 25 09:13 UTC] No.45641692[source]▶
Right, I wouldn't use full table detection to VLM model because they tend to mistake with numbers in table...