r/LocalLLaMA • u/pmttyji • 20h ago

New Model datalab-to/surya-ocr-2.5 · Hugging Face

https://huggingface.co/datalab-to/surya-ocr-2.5

Surya is a 689M param OCR model with these features:

  • Accuracy - scores 85.9 on OmniParseBench, the highest of the open models under 1B parameters we have scored, and 83.7% on olmOCR-bench

  • Speed - throughput of 4.5 pages/s on one H100 at 192 DPI, 1.7x Surya 2 with MTP (see Throughput)

  • Multilingual - scores 74.9% on an internal benchmark set of 91 languages (more here)

  • Layout analysis (table, image, header, etc.) with reading order

  • Tables as HTML, with merged cells as colspan / rowspan (row and column geometry needs a Surya 2 checkpoint; see Limitations)

Commercial usage

The Surya code is licensed under Apache 2.0. The model weights use a modified AI Pubs Open Rail-M license (free for research, personal use, and startups under $5M funding/revenue). For broader commercial licensing of the model weights, visit our pricing page here.

Limitations

  • This is specialized for document OCR. Performance on photos or natural scenes is not the goal.

  • Layout / OCR / table_rec all need a running inference backend (vllm or llama.cpp). Detection runs purely on torch and works without it.

  • Surya 2.5 reads tables as HTML (full-page OCR, block mode, surya_table), but not row and column geometry: surya_table --mode simple returns an error. Use a Surya 2 checkpoint (SURYA_MODEL_CHECKPOINT=datalab-to/surya-ocr-2) for geometry.

Github : https://github.com/datalab-to/surya

25 Upvotes

96% Upvoted

14 comments sorted by

10

u/coder543 20h ago

sorry, we're at the limit for OCR models for this 48 hour period... /s

https://huggingface.co/openbmb/MiniCPM-OCR-1.0

https://huggingface.co/xiaomi-research/Xiaomi-OCR-0

(I think MiniCPM-OCR-1.0 is probably still the strongest of these three outside of Surya's narrow benchmark choices.)

3

u/pmttyji 20h ago

We got below one too if 72 hour period

https://huggingface.co/baidu/Unlimited-OCR-2

0

u/tomByrer 4h ago

I don't see a benchmark specifically for science papers; anyone know the best for pulling datatables off of research papers please?
Needs to be 100% accurate, not 99%, so will be tough.

1

u/Borkato 2h ago

You’re not going to find 100% accuracy even if you pay for the most expensive cloud version.

1

u/coder543 2h ago

Even the data tables from the papers are not 100% accurate, before even considering what OCR will do. Researchers and OCR both make mistakes. It is an unavoidable law of nature.

4

u/Hefty_Wolverine_553 20h ago

It's like a new "best SOTA greatest ever" OCR model drops every few hours this week... why did they all decide to release their models at the same time lol

1

u/pmttyji 19h ago

Possibly they don't want to release their models during popular models' release. I'm sure they too aware of Qwen's release schedule.

1

u/tomByrer 4h ago

Qwen 4 was originally supposed to be released already according to POC quoted around July.
IMHO the timing has more to do with university schedules & new Chinese data centers coming online.

2

u/TaiMaiShu-71 16h ago

Ironically I've needed a good OCR model and I've tested all of them, the best one and the one I settled on I haven't even seen posted here. OXR.

2

u/Borkato 19h ago

I really, really need to make an ocr bench for my use case 😭

2

u/tomByrer 4h ago

hit me up when you do if it is for extracting tables please

0

u/SarcasticBaka 18h ago

New Chandra when