SuperDoc is an open‑source DOCX engine that parses and renders real .docx files in the browser with full format fidelity, offers one‑click integration for major front‑end frameworks, real‑time Yjs collaboration, and AI‑driven document automation.
This tutorial explains why converting legacy .doc files to .docx is necessary, shows how to install LibreOffice and python-docx, provides a Python script to perform the conversion via LibreOffice's command‑line interface, and demonstrates reading and modifying tables in the resulting .docx files.
This tutorial demonstrates how to use the python‑docx library to extract text and images, create new documents, replace content, add pictures, build and fill tables, delete paragraphs, set styles, and insert headers and footers in Word files, providing ready‑to‑run code examples for each operation.
This article introduces the pdf2docx Python library for converting PDF files to DOCX, detailing its capabilities such as layout, paragraph, image, and table parsing, outlining current limitations, providing installation instructions, and showing a concise code example for practical use.
This article walks through a Python automation task that inserts multiple images into a Word document, presenting the problem, the proposed solution, sample code using python‑docx, and a concise summary of the implementation process.
The pdf2docx Python library converts PDF files to DOCX by extracting layout, text, images, and tables, offering detailed features, known limitations, simple pip installation, and a concise code example for quick usage.
This article demonstrates two Python‑based solutions for automatically replacing placeholders in a Word document with data from an Excel sheet—one using python‑docx (with win32com conversion for .doc files) and another leveraging the zipfile module to edit the underlying XML—complete with code, troubleshooting tips, and handling of formatting issues.
This article demonstrates how to automate the replacement of placeholders in Word (.doc/.docx) files with data from an Excel sheet using Python, presenting two approaches—one based on python-docx and win32com, and another that manipulates the underlying zip archive with the zipfile module—while addressing common pitfalls and preserving document formatting.
This article explains how to automate the replacement of Excel row data into Word templates using Python, offering two approaches—one with python-docx and win32com for .doc conversion, and another leveraging zipfile to edit the underlying XML—complete with code examples and troubleshooting tips.
This article introduces a Python‑based tool that lets parents or educators configure ranges and operators to automatically create up to three‑step arithmetic problems for primary‑school students, outputting the worksheets as DOCX files ready for printing.
This tutorial shows how to install the Python Mammoth library and use its command‑line interface or Python API to transform .docx Word documents into HTML web pages or Markdown files for easy sharing and publishing.
This article demonstrates how to read a Word document containing exam tables, parse question types, titles, and options using Python, and then transform the data into a structured Excel file with pandas, providing complete code and handling special whitespace characters.
This article walks you through installing python‑docx, creating a Word document, adding headings, paragraphs, images, tables, and custom text formatting, and finally automating the generation of a resignation letter using a reusable template in Python.
This guide explains how to handle mixed .doc and .docx files by installing the win32com library, providing step‑by‑step code to batch convert .doc documents to .docx format and then process them with python‑docx for automated office workflows.
This tutorial shows how to use python-pptx and python-docx to extract every text element from a PowerPoint presentation and write it into a Word document, explaining the underlying file structures, required modules, and providing a concise six‑line script.
This guide demonstrates how to programmatically pull date, title, and document number fields from thousands of similarly structured Word tables, normalize the dates, and export the data into a formatted Excel spreadsheet using Python's docx, datetime, and openpyxl libraries.
