21 results for “topic:docx-parser”
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
templating engine for DOCX and PPTX files
Extract text from your DOCX documents.
A full-stack AI web app for Resume customization with intelligent agentic architecture
📃 A GUI based docx to html parser. Useful for ripping out inline styles of docx files.
A smart resume screening tool that matches resumes to job descriptions using Streamlit and Python.
Biolife-AU-01 打卡鐘解析程序
A powerful, privacy-focused web application for side-by-side comparison of Word documents with intelligent diff highlighting, comprehensive analytics, and multilingual support including Arabic and RTL languages.
Enterprise-grade Windows desktop application for Computer-Based Testing with real-time monitoring, automated grading, and offline capabilities.
Extract key details from resumes (PDF or DOCX) via a fast Flask API. Returns name, contact info, skills, experience, and education in clean JSON.
Django REST API для транскрипции аудио и извлечения данных из документов с gRPC интеграцией
A Python tool that uses Google's Gemini AI to automatically extract structured metadata from PDF and DOCX documents, saving results to Excel for easy analysis and organizing raw responses as JSON files.
Small script for comparing footnotes on .docx files. Resulting in a .csv
Rust word frequency analyzer using custom linked list data structures in Rust — an educational project exploring Rust ownership, unsafe, and pointer semantics
No description provided.
AI-powered student assignment evaluator written in Rust. Supports code, PDF, and DOCX files. Uses local or remote LLMs to grade submissions based on configurable criteria, and exports results to Excel.
A platform for testing in various disciplines with biometric verification and certificates.
Automated Resume Parser – Built at Codec Technologies during internship. Designed an intelligent parser that extracts candidate details (name, contact, skills, experience, education) from PDF/DOCX resumes and converts them into structured data, enhancing recruitment efficiency.
No description provided.
🔍📄🗂️ A production-ready document crawler with full-text search capabilities. Recursively scans directories, extracts text from various document formats (PDF, DOCX, XLSX, TXT, and more), handles nested archives (ZIP, RAR, 7z), and provides powerful full-text search via SQLite FTS5. Built with clean architecture and type safety.
A Python automation tool that reads DOCX files, splits large text into chunks, and humanizes content using undetected Chrome .