Projects sharing features with Libxls

PHPWord is a PHP word processing library used for programmatically reading and writing word processing documents. It functions as an OOXML document generator, a word file parser, and a document template engine. The library enables the generation of new documents by applying structured data to existing templates or by creating files from scratch. It provides capabilities for extracting and parsing content, metadata, and structure from existing word processing files. The project covers a broad range of document generation features, including layout formatting, metadata management, and the inse

python-docx-template is a template engine for generating Microsoft Word documents by merging .docx files with data contexts using a logic-based markup syntax. It functions as a document automator that injects variables, images, and sub-documents into Word files while maintaining the original styling. The project uses a rendering system based on Jinja2 to apply template logic and filters to Office Open XML files. It allows for the creation of custom template filters to transform data during the rendering phase and includes a command line interface for producing documents by passing a template

Excel binding to struct written in Go.(Only supports Go1.18+)

Go library for reading and writing Microsoft Docx

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

This project is a portable document rendering engine designed to parse and display complex document layouts directly within standard web browser environments. It functions as a web-native viewer that enables the presentation of documents without requiring external software or browser plugins. The engine utilizes a canvas-based rendering layer to map document page data onto standard web drawing surfaces, ensuring high-fidelity visual output. To maintain interface responsiveness, it offloads heavy parsing and object extraction tasks to background threads. The system also employs asynchronous by

pdfminer.six is a programmatic tool for extracting text, layout information, and metadata from PDF documents into machine-readable formats. It functions as a document parser that converts internal PDF objects and structures into accessible data objects for analysis. The project includes utilities for decrypting RC4 and AES encrypted files to enable content extraction. It also provides a layout analyzer to identify fonts, colors, and text locations to determine the organizational structure of pages. The system covers a broad range of extraction capabilities, including the retrieval of embedde

Fast and reliable way to work with Microsoft Excel™ xlsx files in Golang

Single API for reading, manipulating and writing data in csv, ods, xls, xlsx and xlsm files

PyMuPDF is a comprehensive PDF manipulation library and document analysis tool. It serves as a text extraction tool, OCR engine, and image converter, providing a programmatic interface to edit, merge, split, and optimize PDF and Office documents. The project distinguishes itself through high-performance capabilities, including the use of C-bindings for low-level manipulation and parallelized page processing to accelerate workloads. It provides specialized conversion paths, such as transforming PDF content into Markdown for retrieval-augmented generation and large language model pipelines. It

python-docx is an OOXML document manipulation library used for creating, reading, and updating Microsoft Word files. It functions as a generator for building formatted documents and a parser for extracting text, metadata, and structural elements from existing files. The project provides a comprehensive style management system for defining and applying character, paragraph, and table styles within OpenXML documents. It allows for the programmatic control of document appearance through an object-oriented approach to the underlying XML schema. Capabilities cover a wide range of document generat

Create Open XML PowerPoint documents in Python

A simple and light excel file reader to read a standard excel as a table faster | 一个轻量级的Excel数据读取库，用一种更关系数据库的方式解析Excel。

This is a Go library for reading and writing XLSX files, providing a toolkit for spreadsheet generation and data extraction. It functions as an Office Open XML parser and generator, enabling the creation of workbooks with support for styles, formulas, and metadata. The project features a data mapper that uses Go struct tags and reflection to automatically align spreadsheet rows with structured data. It also includes a validation engine for defining input constraints, such as dropdown lists and error alerts, to control user data entry. The library covers a broad range of capabilities, includi

unioffice is a comprehensive document processing suite that provides a PDF document processor, an Open XML document library, a document security toolkit, and a document content extractor. It is designed to programmatically create, read, and modify Word, Excel, and PowerPoint files, as well as generate and edit PDF documents. The project is distinguished by its native language implementation of the Open XML standard, which removes native binary dependencies to simplify container deployments. It features advanced capabilities for digital document security, including hardware-based PDF signing,

Unstructured is an enterprise-grade data orchestration engine designed to transform raw, unstructured files into structured, machine-readable formats. It functions as a comprehensive platform for document ingestion, partitioning, and enrichment, specifically engineered to prepare complex data for retrieval-augmented generation and agentic AI workflows. The platform distinguishes itself through its sophisticated document processing strategies, which combine rule-based extraction with vision-language models to handle diverse file layouts, tables, and images. It provides a modular architecture t

Excelize is a Go library designed for reading, writing, and modifying Microsoft Excel files in XML-based formats. It functions as a spreadsheet file parser and generator that enables the programmatic extraction and modification of data. The library includes a streaming spreadsheet processor to handle massive datasets incrementally, preventing system memory exhaustion during large-scale read and write operations. It also provides a chart generator to convert worksheet values or external data sources into visual representations within the spreadsheet. Beyond core file processing, the project c

Python powered spreadsheets

Camelot is a Python library and processing engine designed to extract tabular data from PDF documents. It converts unstructured tables into machine-readable formats such as CSV, JSON, and Excel. The project provides specialized toolsets for different document types, using line detection for ruled tables and whitespace analysis for borderless tables. It includes an optical character recognition system to recover structured data from image-based scanned PDFs that lack a digital text layer. The library handles complex document layouts, including encrypted files, rotated pages, and tables that s

Excel Cell Name Traversal for Go

Universal Office Converter - Convert between any document format supported by LibreOffice/OpenOffice.

Docling is a modular framework designed for document parsing, layout analysis, and structured data extraction. It transforms unstructured files and web content into a unified, hierarchical data model that preserves the spatial and semantic relationships between text, tables, images, and layout elements. By normalizing diverse input formats into a consistent internal representation, the library enables uniform processing across various document types. The project distinguishes itself through a schema-driven approach that maps document regions to strongly-typed objects, ensuring data accuracy t