10 open-source projects similar to ibm-aur-nlp/pubtabnet, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.
Camelot is a Python-based library designed to parse, extract, and clean tabular data from PDF files. It converts table elements from text-based PDF documents into programmable data structures and dataframes. The tool identifies tabular regions using coordinate-based grouping, lattice-based line detection, and stream-based text extraction. It can also rasterize PDF pages into images to utilize computer vision for detecting structural lines and boundaries. Extracted data is validated through accuracy and whitespace metrics to filter out low-quality extractions. The processed information can be
Simple wrapper of tabula-java: extract table from PDF into pandas DataFrame
x 支持GPU,CPU(opencv dnn加速); - 整合darknet-ocr完成对表格的重建,输出json\excel
Generative Networks are well-known for their success in realistic image generation. However, they can also be applied to generate tabular data. We introduce major improvements for generating high-fidelity tabular data giving oppotunity to try GANS, TimeGANs, Diffusions and LLM for tabular data…
End-to-end neural table-text understanding models.
pdfplumber is a PDF data extraction library and layout analysis tool used to retrieve text, tables, and geometric objects from PDF files using precise coordinate-based analysis. It functions as a layout analyzer and table parser that identifies the bounding boxes and visual coordinates for every character and image on a page. The library distinguishes itself through visual debugging capabilities, allowing users to render PDF pages as images and draw annotations to verify the position of extracted data. It employs line and intersection analysis to identify cell structures and convert unstructu
Tools for extracting tables and results from Machine Learning papers
A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.