A pure Go library for programmatically reading from and writing to Microsoft Word DOCX files.
Godocx is a Go library that enables programmatic reading and writing of Microsoft Word DOCX files. It provides a set of functions to create documents from scratch, modify existing ones, add formatted text, tables, headings, and lists, and save the output—all within Go applications. It solves the problem of automating document generation and manipulation without relying on external software or complex workarounds.
Go developers who need to generate reports, contracts, invoices, or any structured documents in DOCX format directly from their applications, particularly in backend services or automation scripts.
Developers choose Godocx because it's a pure Go library with no external dependencies, offering a straightforward API for DOCX manipulation. It fills a niche for Go-centric document automation, providing an alternative to Python libraries like python-docx within the Go ecosystem.
Go library for reading and writing Microsoft Docx
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Written entirely in Go with no external dependencies, making it easy to integrate into any Go project without additional setup, as emphasized in the README's philosophy.
The API is straightforward, with methods like AddParagraph and AddTable enabling rapid development, as shown in the example code for creating documents and tables.
Supports essential DOCX operations including rich text formatting, tables, headings, and lists, covering common use cases like report generation from structured data.
Offers comprehensive Go reference docs and a dedicated examples repository, providing clear guidance for developers to get started quickly.
Lacks support for key DOCX elements such as images, charts, and complex page layouts, as indicated by the open feature request process in the README.
As a newer library inspired by python-docx, it has a smaller user base and fewer resources compared to established alternatives, which may affect long-term support.
Being a pure Go library, it might not be optimized for high-volume scenarios, potentially introducing overheads compared to native or compiled solutions.