This article explains Apache Tika's core features, architecture, and common use cases, then provides a step‑by‑step Spring Boot tutorial that integrates Tika to extract file content, detect personal identifiers with regex, and return results via a REST API for data‑loss‑prevention.
This guide demonstrates how to integrate Apache Tika into a Spring Boot application to automatically extract file content, detect sensitive data such as ID numbers, credit cards, and phone numbers using regular expressions, and implement data leak protection through a REST API with code examples.
This article introduces Apache Tika's capabilities for parsing a wide range of file formats, automatic type detection, OCR and language detection, then demonstrates how to integrate Tika into a Spring Boot service to extract text and identify sensitive information such as ID numbers, credit cards, and phone numbers.
This article introduces Apache Tika, a powerful Java library for parsing many file formats, extracting text and metadata, performing OCR and language detection, and shows how to integrate it with Spring Boot to automatically detect sensitive information such as ID numbers, credit cards, and phone numbers.
This article curates essential front‑end topics—including SSE real‑time push, component design, React state‑management comparison, performance‑panel analysis, file parsing methods, and the 2024 web‑front‑end trends—while also introducing the Cloud Classroom front‑end team’s mission and structure.
This article introduces Python 3 methods for retrieving various document types—including TXT, CSV, PDF, and Word files—using urllib, regular expressions, and file‑specific processing steps, providing practical code examples and workflow guidance for building effective web crawlers.
