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Document parsing error on doc extractor node #22042
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opened 2026-02-21 20:15:25 -05:00 by yindo
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feat/ce-telemetry-dev
gh-readonly-queue/main/pr-38920-7b188287daa401c036e7a9c44df8becf374a6237
gh-readonly-queue/main/pr-38752-f6db23444db6a4680745ae0c2726c0e634432665
gh-readonly-queue/main/pr-38918-a5c989d82b21786bbae9cb763f479ff3bfe5dcf9
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bai
1.16.0
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Reference: langgenius/dify#22042
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Originally created by @raj-triforce on GitHub (Feb 3, 2026).
Originally assigned to: @fatelei on GitHub.
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Dify version
1.11.1
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Self Hosted (Docker)
Steps to reproduce
Upload document file which have image linked via reference and image is not available in docx file upload this kind of file.
✔️ Expected Behavior
Doc extractor should receive the document and extract the remaining text ignoring the image. and it is happening when I edited the doc uploaded the newer image, and then tried to parse so it was working fine and gave me extracted text
❌ Actual Behavior
Doc extractor is failing with this error message
Failed to extract text from DOCX: "There is no item named 'word/media/image1.png' in the archive"
There are 1 nodes in the process running abnormally, please go to tracing to check the logs.
@dosubot[bot] commented on GitHub (Feb 3, 2026):
This is a known issue in Dify v1.11.1: when a DOCX file references an image that is missing from the archive, the doc extractor fails with an error like "There is no item named 'word/media/image1.png' in the archive." This happens because the extractor assumes all referenced images exist and does not handle missing media gracefully, causing the underlying library to throw an exception and halt extraction rather than skipping the missing image and extracting the rest of the text (source).
A fix for this problem was merged after v1.11.1 (see PR #29558, merged 2025-12-12), which updates the extractor to handle missing images without failing the entire extraction process (source). Upgrading to a version that includes this fix will resolve the issue.
If you can't upgrade right away, a temporary workaround is to manually edit the DOCX file to remove or update any references to missing images before uploading.
Keep an eye on release notes for further improvements or configuration options related to DOCX extraction and error handling. If you need more technical details or help with a workaround, let me know!
To reply, just mention @dosu.
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@raj-triforce commented on GitHub (Feb 3, 2026):
@dosu so upgrading to latest version will solve this issue ?
@dosubot[bot] commented on GitHub (Feb 3, 2026):
Upgrading to the latest version may not fully solve this issue yet. The fix for handling missing images in DOCX extraction was merged after v1.11.1, but a review of the latest code shows that the missing-media handling hasn't fully propagated—so the extractor can still fail if a referenced image is missing from the archive (source).
Until a confirmed fix is released, the best workaround is to manually remove or update any references to missing images in your DOCX files before uploading. Keep an eye on future releases or changelogs for explicit confirmation that this bug is resolved. If you need help with a workaround or want technical details, let me know!
To reply, just mention @dosu.
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@raj-triforce commented on GitHub (Feb 3, 2026):
@dosu if you know exactly where in code it is happening, so it'll be helpful, fast, and help appreciated and I'll fix.
@dosubot[bot] commented on GitHub (Feb 3, 2026):
The error happens in the
_extract_images_from_docxfunction inapi/core/rag/extractor/word_extractor.py(around line 130) when the code tries to accessrel.target_part.blobfor internal images. If the referenced image is missing from the DOCX archive, this raises an exception and aborts extraction because there's no error handling here see source.To fix it, wrap the internal image handling block with a
try/exceptso missing images are skipped and extraction continues. For example:This will let the extractor ignore missing images and extract the rest of the text as expected.
To reply, just mention @dosu.
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@fatelei commented on GitHub (Feb 3, 2026):
how about your docx
@raj-triforce commented on GitHub (Feb 4, 2026):
What do you mean by that? what about my docx, I didn't got you bro!
@fatelei commented on GitHub (Feb 4, 2026):
you can give me your docx, i test it
@raj-triforce commented on GitHub (Feb 5, 2026):
Sure!!
file-preview (3).docx
@raj-triforce commented on GitHub (Feb 5, 2026):
hey @dosu after making changes how to rebuild the image?
@dosubot[bot] commented on GitHub (Feb 5, 2026):
To rebuild the Docker image after making code changes in your self-hosted Dify setup, run these commands from the
dockerdirectory:If you also changed code used by the worker or worker_beat services, rebuild them too:
For frontend (web) changes, update
docker-compose.yamlto use a local build context for thewebservice, then run:If you want to rebuild everything, use:
Stopping containers first with
docker compose downis recommended if you want a clean restart. Your changes will take effect once the containers are back up. There’s no hot-reload—rebuilding and restarting is required for code changes to apply.Reference
To reply, just mention @dosu.
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@raj-triforce commented on GitHub (Feb 5, 2026):
hey, @dosu the real issue comes from the \api\core\workflow\nodes\document_extractor\node.py
and here is the code I've done, cause to docx.Document() was failing immediately as soon as the error was hitting about reference that func' couldn't found the defined image relation, so at that moment only we were getting failure, and even docx object was not even mounted and idk about any other library so i've tried to write the manual extraction if you think it is stable in production enough, please give me review about it.
@raj-triforce commented on GitHub (Feb 5, 2026):
@dosu sorry forgot to provide you extension code which is just a fallback
def _extract_text_from_docx_manual(file_content: bytes) -> str:
"""
Manually extract text from DOCX by parsing ZIP and XML directly.
This bypasses python-docx completely and works even with missing images.
"""
try:
# Open DOCX as ZIP file
docx_zip = zipfile.ZipFile(io.BytesIO(file_content))
@dosubot[bot] commented on GitHub (Feb 5, 2026):
Your manual DOCX extraction fallback is a solid approach for resilience: it reliably extracts text from paragraphs and tables even when images or relationships are missing, which is exactly where python-docx and Dify’s built-in extractors tend to fail example. This makes it a good safety net for corrupted or non-standard files.
A few things to keep in mind for production use:
For extra robustness, test with a variety of DOCX files: ones with lists, headers, comments, and intentionally broken relationships, to see what gets missed or triggers errors. If you need to support more DOCX features, you can extend the XML parsing to cover more tags, but that will add complexity.
Overall, your fallback is stable for simple documents and a practical way to avoid total extraction failure when files are imperfect.
To reply, just mention @dosu.
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@fatelei commented on GitHub (Feb 5, 2026):
This error occurs when python-docx tries to open a DOCX file that has a broken or corrupted internal structure. Specifically, the document's relationship XML references an image (word/media/image1.png) that doesn't actually exist in the ZIP archive.
here we can add a fallback method to solve it
@fatelei commented on GitHub (Feb 5, 2026):
i have submit a pr, you can use the code in pr
@raj-triforce commented on GitHub (Feb 9, 2026):
Okay, Thank you!!