Tabled
Tools to detect and extract tables into Markdown and CSV formats
Product Details
Tabled is a Python library for detecting and extracting tables. It uses surya to identify tables in PDFs, identify rows and columns, and be able to format cells into Markdown, CSV, or HTML. This tool is very useful for data scientists and researchers who often need to extract tabular data from PDF documents for further analysis. Key advantages of Tabled include highly accurate table detection and extraction capabilities, support for multiple output formats, and an easy-to-use command line interface. Additionally, it provides an interactive APP that allows users to intuitively try using Tabled on images or PDF files.
Main Features
How to Use
Target Users
Tabled's target audience is primarily data scientists, researchers, and developers who need to extract tabular data from PDF documents for data analysis or further processing. This tool is suitable for them as it provides high-accuracy table detection and extraction, supports multiple output formats, and is easy to integrate into existing workflows.
Examples
Researchers use Tabled to extract data from PDFs of academic papers for statistical analysis.
Data scientists use Tabled to convert tabular data in market research reports into CSV format for use in economic forecasting models.
Developers integrate Tabled into their software products to provide automated PDF table data processing capabilities.
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