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CUDA OOM with small PDF file #50

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Closed as not planned

Description

Question

I try to convert a small PDF file (vietnamese) to markdown. It works perfectly on the web version but fails when I switch to use local install with GPU (on Google Colab).

Environment

  • docstrange version: 1.1.8
  • GPU: Tesla T4 / 14.74 GiB VRAM
  • CUDA version: 12.6
  • PyTorch version: 2.9.0+cu126

Description

Getting CUDA out of memory error when processing a small PDF file (801KB, 17 pages).

Error Message

ERROR:docstrange.pipeline.nanonets_processor:Nanonets OCR extraction failed: 
CUDA out of memory. Tried to allocate 122.64 GiB. GPU 0 has a total capacity 
of 14.74 GiB of which 8.54 GiB is free.

PDF Details

  • File size: 801 KB
  • Pages: 17
  • Page dimensions: 1675 x 2353 pixels
  • Type: Scanned images

Code to Reproduce

!apt-get install poppler-utils

!pip install docstrange -q


from docstrange import DocumentExtractor

extractor = DocumentExtractor(gpu=True)
result = extractor.extract("sample.pdf")
markdown = result.extract_markdown()

Activity

  1. linear commented on Dec 29, 2025

    @linear
  2. EricBorland commented on Dec 29, 2025

    @EricBorland

    I also have the same issue. I wonder if there's a guide or recommended hardware specifications to run in local...

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