Table Recognition Python Packages

rapid-table

基于序列表格识别算法推理库，集成PP-Structure和modelscope等表格识别算法。

rapid-orientation

文档方向分类

deepdoctection

A Repo For Document AI

wired-table-rec

整理目前开源的最优表格识别模型，完善前后处理，模型转换为ONNX | Organize the currently open-source optimal table recognition models, improve pre-processing and post-processing, and convert the models to ONNX.

dd-core

A Repo For Document AI

dd-datasets

A Repo For Document AI

table-recognition-metric

Compute benchmark of table structure recognition.

dedoc

Dedoc is a library (service) for automate documents parsing and bringing to a uniform format. It automatically extracts content, logical structure, tables, and meta information from textual electronic documents. (Parse document; Document content extraction; Logical structure extraction; PDF parser; Scanned document parser; DOCX parser; HTML parser

lineless-table-rec

整理目前开源的最优表格识别模型，完善前后处理，模型转换为ONNX | Organize the currently open-source optimal table recognition models, improve pre-processing and post-processing, and convert the models to ONNX.

table-cls

整理目前开源的最优表格识别模型，完善前后处理，模型转换为ONNX | Organize the currently open-source optimal table recognition models, improve pre-processing and post-processing, and convert the models to ONNX.

marie-ai

Complex data extraction and orchestration framework designed for processing unstructured documents. It integrates AI-powered document pipelines (GenAI, LLM, VLLM) into your applications, supporting various tasks such as document cleanup, optical character recognition (OCR), classification, splitting, named entity recognition, and form processing

ytcc-pipeline

A synchronous Python library that converts an academic-thesis PDF into a structured JSON document plus a tar bundle of cropped figures, tables, and formulas.

slanet-plus-table

基于序列表格识别算法推理库，集成PP-Structure和modelscope等表格识别算法。