DeepSeek OCR

(github.com)

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]▶

>>45641449 #

> 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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1. richardlblair ◴[20 Oct 25 13:16 UTC] No.45643548[source]▶

>>45641470 #

I had mentioned this when the new QWEN model dropped - I have a stack of construction invoices that fail through both OCR and OpenAI.

It's a hard (and very interesting) problem space.

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