Table Transformer
Effortlessly transform and manage your data tables with ease
Listed in categories:
Artificial IntelligenceGitHubOpen Source



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 case | Status | |
---|---|---|---|
# 1 | Enhancing LLM preprocessing | ✅ | |
# 2 | Powering data analysis pipelines | ✅ | |
# 3 | Automating 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.