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Description

Table Transformer is an advanced open-source tool that leverages state-of-the-art OCR and computer vision techniques to extract structured tabular data from images. It is ideal for enhancing LLM preprocessing, powering data analysis pipelines, and automating your data extraction tasks.

How to use Table Transformer?

Clone the repository, create and activate a Conda environment, install the necessary dependencies, and run the Streamlit app to interact with the tool.

Core features of Table Transformer:

1️⃣

Automatic Table Detection

2️⃣

OCR-based Document Processing

3️⃣

Integrated Models for OCR and table detection

4️⃣

Flexible Export Options (DataFrame, HTML, CSV, etc.)

5️⃣

Streamlit Application for user interaction

Why could be used Table Transformer?

#Use caseStatus
# 1Enhancing LLM preprocessing
# 2Powering data analysis pipelines
# 3Automating data extraction tasks

Who developed Table Transformer?

Sudhanshu Pandey is the creator of the Table Transformer tool, which is designed to facilitate the extraction of structured data from images using advanced OCR and computer vision techniques.

FAQ of Table Transformer