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OCR_ERROR : OCR failed on image / Details: socket hang up (hosted version) #335

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opened 2026-02-16 00:17:31 -05:00 by yindo · 2 comments
yindo commented 2026-02-16 00:17:31 -05:00
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Originally created by @oliverlukesch on GitHub (Nov 18, 2024).

Originally assigned to: @hexapode on GitHub.

Describe the bug
We currently (and consistently) need to wait a long time (~10 minutes or longer) for even simple files to finish. This is a new phenomena and also does not happen when using the vendor multimodal model option (for example GPT-4o).

When looking at the related job details inside cloud.llamaindex.ai, we see the following error messages:

Page 3 [warning] - OCR_ERROR : OCR failed on image /home/user/dist/worker/pipeline/../../../tmp/8c1b928c-9066-44b4-a7cd-795dc09edbe8/img/img_p2_2.png. Details: socket hang up
Page 3 [warning] - OCR_ERROR : OCR failed on image /home/user/dist/worker/pipeline/../../../tmp/8c1b928c-9066-44b4-a7cd-795dc09edbe8/img/img_p2_1.png. Details: socket hang up
Page 6 [warning] - OCR_ERROR : OCR failed on image /home/user/dist/worker/pipeline/../../../tmp/8c1b928c-9066-44b4-a7cd-795dc09edbe8/img/img_p5_5.png. Details: socket hang up

Files
One of the documents we've been testing with is the public AirBnB pitchdeck, please find it attached.

AirBnB-Deck.pdf

Job ID

  • 31513454-e41c-41e9-8117-4aed16203ea5
  • b7964a02-c44e-435e-99a3-6231d98dff8f
  • 5ed77e71-a68b-421b-9856-809569f84311
    (and many more)

Client:

  • API

Additional context
Does not happen in multimodal mode.

This is the data we submit to your API via POST:

const formData = createFormData({
  file,
  parsing_instruction,
  do_not_cache: true,
  invalidate_cache: true,
  ...(richContent && {
    use_vendor_multimodal_model: true,
    vendor_multimodal_model_name: 'openai-gpt4o',
    vendor_multimodal_api_key: OPENAI_API_KEY,
  }),
})
Originally created by @oliverlukesch on GitHub (Nov 18, 2024). Originally assigned to: @hexapode on GitHub. **Describe the bug** We currently (and consistently) need to wait a long time (~10 minutes or longer) for even simple files to finish. This is a new phenomena and also does **not** happen when using the vendor multimodal model option (for example GPT-4o). When looking at the related job details inside cloud.llamaindex.ai, we see the following error messages: ``` Page 3 [warning] - OCR_ERROR : OCR failed on image /home/user/dist/worker/pipeline/../../../tmp/8c1b928c-9066-44b4-a7cd-795dc09edbe8/img/img_p2_2.png. Details: socket hang up Page 3 [warning] - OCR_ERROR : OCR failed on image /home/user/dist/worker/pipeline/../../../tmp/8c1b928c-9066-44b4-a7cd-795dc09edbe8/img/img_p2_1.png. Details: socket hang up Page 6 [warning] - OCR_ERROR : OCR failed on image /home/user/dist/worker/pipeline/../../../tmp/8c1b928c-9066-44b4-a7cd-795dc09edbe8/img/img_p5_5.png. Details: socket hang up ``` **Files** One of the documents we've been testing with is the public AirBnB pitchdeck, please find it attached. [AirBnB-Deck.pdf](https://github.com/user-attachments/files/17804720/AirBnB-Deck.pdf) **Job ID** - 31513454-e41c-41e9-8117-4aed16203ea5 - b7964a02-c44e-435e-99a3-6231d98dff8f - 5ed77e71-a68b-421b-9856-809569f84311 (and many more) **Client:** - API **Additional context** Does not happen in multimodal mode. This is the data we submit to your API via POST: ```ts const formData = createFormData({ file, parsing_instruction, do_not_cache: true, invalidate_cache: true, ...(richContent && { use_vendor_multimodal_model: true, vendor_multimodal_model_name: 'openai-gpt4o', vendor_multimodal_api_key: OPENAI_API_KEY, }), }) ```
yindo added the bug label 2026-02-16 00:17:31 -05:00
yindo commented 2026-02-16 00:17:32 -05:00
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@hexapode commented on GitHub (Nov 18, 2024):

Thanks for flagging this, looking at it now

@hexapode commented on GitHub (Nov 18, 2024): Thanks for flagging this, looking at it now
yindo commented 2026-02-16 00:17:32 -05:00
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@oliverlukesch commented on GitHub (Nov 25, 2024):

hi @hexapode, many thanks for taking a look! do you happen to have an update on this topic?

@oliverlukesch commented on GitHub (Nov 25, 2024): hi @hexapode, many thanks for taking a look! do you happen to have an update on this topic?
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Reference: run-llama/llama_cloud_services#335
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