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I am building a document search engine for my capstone project. Should I use LayoutParser or a vision LLM for extracting tables from complex PDFs?
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SEED QUERY
I am building a document search engine for my capstone project. Should I use LayoutParser or a vision LLM for extracting tables from complex PDFs?
1 real search · 1 real-search pass
LayoutParser document layout analysis table detection OCR documentation PubTables-1M table structure recognition vision language models PDF table extraction comparisonGoogle ↗
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Searches and sources
ChatGPT1 real searches · gpt-6
LayoutParser document layout analysis table detection OCR documentation PubTables-1M table structure recognition vision language models PDF table extraction comparison Google ↗
- blog/document-ai.md at main · huggingface/blog · github.com
- table-transformer/README.md at main · microsoft/table-transformer · github.com
- PubTables-1M: Towards comprehensive table extraction from unstructured documents · microsoft.com
- Documentation · layout-parser.github.io
- GitHub repository · github.com
- GitHub repository · github.com
- Benchmarking Table Extraction: Multimodal LLMs vs Traditional OCR · aclanthology.org
- Benchmarking Table Extraction: Multimodal LLMs vs Traditional OCR · aclanthology.org
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