This guide shows how to extract API definitions from a Word table, structure them with a simple fill‑in template, and use an AI prompt to automatically generate a complete Postman Collection, enabling fast, repeatable API testing.
This guide demonstrates how to create a Python script that uses the win32com library to batch convert Word (.doc/.docx) files to PDF on Windows, including code examples, handling of Office/WPS detection, folder management, common pitfalls, and packaging the script into an executable.
This guide explains how to use Python libraries such as pdf2docx, pdfplumber, python-docx, and Pillow to extract text, tables, and images from a PDF and reconstruct them in a Word document, including installation steps and a complete example script.
This article explains how to use the poi‑tl Java library to create Word report templates, define common tags such as text, images, tables, lists, and charts, encapsulate them with enums and factories, and generate complete reports through a reusable utility class.
This article explains the main types of API documentation—Swagger, Word, Excel, and PDF—describing their features, suitable scenarios, and how to convert between formats to improve API development and testing efficiency.
This comprehensive guide demonstrates how to read, write, modify, and format Excel, Word, and CSV files in Python using libraries such as xlrd/xlwt/xlutils for Excel, python-docx for Word, and the built‑in csv module, complete with code examples and feature comparison tables.
This article explains how to use Java libraries such as Apache POI, PDFBox, and EasyExcel to read Excel, DOC/DOCX, PDF, and plain text files, providing complete code examples, required Maven dependencies, and step‑by‑step usage instructions for each file type.
This article explains why generic large language models struggle with domain‑specific data, introduces Retrieval‑Augmented Generation (RAG) as a solution, compares Word and PDF formats, outlines document‑parsing pipelines, reviews open‑source PDF tools, and presents Alibaba Cloud's rule‑based parsing architecture with performance results.
This tutorial shows how to use Python libraries such as pandas, python-docx, PyPDF2, and python-pptx to read, write, merge, and manipulate Excel, Word, PDF, and PowerPoint files, providing ready‑to‑run code snippets for each common automation scenario.
This article introduces the python-docx library, explains how to install it, and provides a complete code example that demonstrates creating a Word document with headings, styled paragraphs, images, tables, and saving the file, helping Python developers automate document processing.
This tutorial demonstrates how to install and use Python libraries such as xlrd, xlwt, xlutils, XlsxWriter, OpenPyXL, python-docx, and the csv module to read, write, modify, and format Excel, Word, and CSV files, including code examples and feature comparisons.
This article walks through using the Apache POI and POI‑TL libraries to render Word (.docx) files from custom templates, covering version compatibility, template syntax, data model definitions, and step‑by‑step code examples for text, images, tables, and charts.
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.
This article demonstrates how to build a Vue3‑based file preview feature that supports images, Word documents, Excel sheets, and PDFs by using iframe tags, npm packages like docx‑preview, xlsx, and pdfjs‑dist, and provides complete code snippets and practical tips.
This tutorial explains how to automate watermark insertion for PDF, Word, PowerPoint, and Excel documents with Python by installing appropriate libraries and providing ready-to-use code examples for each file type.
This guide shows how to use Python libraries such as docx, jieba, NLTK, and openpyxl to read a Word file, perform tokenization, compute word frequencies, assign part‑of‑speech tags, and export the results into an Excel spreadsheet, including troubleshooting tips for common errors.
Learn how to automate the extraction of answer symbols (√ and ×) from Word documents using Python, with step-by-step code examples employing docx, pandas, regex, and openpyxl to generate Excel files, and explore multiple community-contributed solutions.
This article explains how Python can boost office productivity by using libraries such as xlrd/xlwt, openpyxl, pandas for Excel, python‑docx for Word, and python‑pptx for PowerPoint, highlighting their ease of use and efficiency in handling large or repetitive documents.
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.
Learn how to automate the entire invitation workflow using Python—replace placeholders in Word templates, convert them to PDFs, extract recipient data from Excel, and send personalized emails with attachments—all with concise code snippets and step‑by‑step explanations.
This tutorial demonstrates how to use Python's Pillow library for image manipulation, openpyxl for Excel spreadsheet handling, and python-docx for creating and editing Word documents, providing code examples for common operations such as cropping, resizing, filtering, and data insertion.
This tutorial introduces Python libraries such as xlrd/xlwt/xlutils, python-docx, and the csv module, compares their features, shows how to install them, and provides complete code examples for reading, writing, and modifying Excel, Word, and CSV files.
The article compares Microsoft Word's heavyweight rich‑text workflow with lightweight, readable Markdown, explains Markdown's history and standards, and recommends several Markdown‑friendly tools for writing, documentation, and front‑end development.
This article explains how to use the Java Poi‑tl library to generate Word .docx documents from templates, covering solution comparison, API usage, code examples for text, images, tables, and block structures, and provides a quick start guide.
This tutorial shows how to use Python's glob, python-docx, and openpyxl libraries to automatically scan a folder of Word meeting notices, pull out study time, content, format, and host information, and populate an Excel spreadsheet, saving hours of manual work.
This tutorial shows how to use Python's openpyxl and python-docx libraries to read company data from an Excel sheet, replace placeholder tags in a Word contract template, and automatically generate individualized contracts for each company in a batch process.
This article demonstrates how to use Python and the python‑docx library to read student scores from CSV files, generate appropriate evaluation comments, and programmatically insert those comments into each student's Word report, streamlining the grading workflow.
