I see that the project uses conda for development. Is it still a good tool now that pip also install binaries?
DeepSeek OCR
101–110 of 252 posts
Re: DeepSeek OCR
#102Great work guys, how about we replace the global encoder with a Mamba (state-space) vision backbone to eliminate the O(n²) attention bottleneck, enabling linear-complexity encoding of high-resolution documents. Pair this with a non-autoregressive (Non-AR) decoder—such as Mask-Predict or iterative refinement—that generates all output tokens in parallel instead of sequentially. Together, this creates a fully paralleliz…
not sure why i m getting downvoted. Would love to have a technical discussion on the validity of my suggestions.
Re: DeepSeek OCR
#103How does it compare to Tesseract? https://github.com/tesseract-ocr/tesseract
I use ocrmypdf (which uses Tesseract). Runs locally and is absolutely fantastic. https://ocrmypdf.readthedocs.io/en/latest/
Re: DeepSeek OCR
#104Earlier quoted context omitted.
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?
> 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...
Historical filings are still a problem, but hasn’t the SEC required filing in an XML format since the end of 2024?
Re: DeepSeek OCR
#105The paper makes no mention of Anna’s Archive. I wouldn’t be surprised if DeepSeek took advantage of Anna’s offer granting OCR researchers access to their 7.5 million (350 TB) Chinese non-fiction collection ... which is bigger than Library Genesis. https://annas-archive.org/blog/duxiu-exclusive.html
Why do they need to grant access for people to use copies of books they don’t own?
Not to rationalize it, but it appears that they're gatekeeping the dataset to get access to the OCR-scans from the people they choose to share it with. This is to improve their existing service by making the content of books (and not just their title/tags) searchable.
As per the blog post: >What does Anna’s Archive get out of it? Full-text search of the books for its users.
Re: DeepSeek OCR
#106How does this compare to https://huggingface.co/ibm-granite/granite-docling-258M in performance and how they work?
Re: DeepSeek OCR
#107Language support is not mentioned in the repo. But from the paper, it offers extensive multilingual support (nearly 100 languages) which is good, but I need to test it to see how it compares to Gemini and Mistral OCR.
I suspect the number of langauges it can do with reasonable accuracy is actually much smaller, probably <15.
Re: DeepSeek OCR
#108Earlier quoted context omitted.
Sibling comment has the second part as 後天下之樂而樂 Which one is correct?
a) 后天下之乐而乐 b) 後天下之樂而樂 c) 後天下之楽而楽 a) is clearly Simplified Chinese from a sibling comment, b) is Traditional copied from your comment, and c) is as I just typed in my own language. Unicode Hanzi/Kanji are a mess and there are characters same or different, in appearance or in binary, depending on intended variants, languages, fonts, systems, keyboard, distance between Earth and Alpha Centauri, etc.
Fascinating! That's exactly why I asked, so thank you.
Do people usually recognize all variants as valid and legible? Or does any particular set of letters/symbols prevail in practice?
Re: DeepSeek OCR
#109The paper makes no mention of Anna’s Archive. I wouldn’t be surprised if DeepSeek took advantage of Anna’s offer granting OCR researchers access to their 7.5 million (350 TB) Chinese non-fiction collection ... which is bigger than Library Genesis. https://annas-archive.org/blog/duxiu-exclusive.html
Oh great so now Anna's archive will get taken down as well by another trash LLM provider abusing repositories that students and researchers use, META torrenting 70TB from library genesis wasn't enough
Re: DeepSeek OCR
#110My 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…
> 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.
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.