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Effective Table Data Extraction from PDF without LLM Sparrow Parse helps to read tabular data from PDFs, relying on various libraries, such as Unstructured or PyMuPDF4LLM. This allows us to avoid data hallucination errors often produced by LLMs when processing complex data structures. Learn more: ✅ ✅ Katana

27,886 次观看 • 2 年前 •via X (Twitter)

10 条评论

ViGa 的头像
ViGa2 年前

Cross page tables ?

Andrej Baranovskij 的头像
Andrej Baranovskij2 年前

Work in progress.

Nasser Builds 的头像
Nasser Builds2 年前

Thank you

Sumit Shekhar 的头像
Sumit Shekhar2 年前

How is the performance on borderless tables?

Andrej Baranovskij 的头像
Andrej Baranovskij2 年前

I tested it with bank statements, they are borderless. And it performs with 95% accuracy

Ashish 的头像
Ashish2 年前

Very useful

Marlon 的头像
Marlon2 年前

This is a lot more challenging than people realize - I went through a ton of approaches for something table extraction recently, and ended up with a pipeline revolving around a fin tuned table-transformer and gpt4-v with visual cues. Excited to try this out as well

Andrej Baranovskij 的头像
Andrej Baranovskij2 年前

Agree 💯

Khalid Jamal- خالد جمال 的头像
Khalid Jamal- خالد جمال1 年前

Can it extract equations from scientific PDF papers?

Andrej Baranovskij 的头像
Andrej Baranovskij1 年前

Haven’t tried, 7b model I doubt, but 72b model should handle it, depends on complexity

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