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Apache Tika - File Format Detection and Content Extraction Toolkit
Apache Tika is a toolkit that detects and extracts metadata and text from over a thousand different file types (such as PPT, XLS, and PDF). It's a powerful content analysis tool.
Java
Added on 2025年5月30日3,013
Stars821
ForksJava
LanguageProject Introduction
Summary
Apache Tika is a robust toolkit designed to detect file formats and extract content and metadata from a wide range of digital document types.
Problem Solved
Extracting usable content and metadata from diverse document formats requires numerous specific parsers. Tika solves this by providing a single library and API to handle this complexity.
Core Features
Advanced File Detection
Automatically identifies the file type of a document based on its content, even without a file extension, supporting over 1000 formats.
Metadata and Text Extraction
Provides a unified API to extract text content and rich metadata (like author, title, creation date) from detected file types.
Tech Stack
Java
Maven
OSGi
Use Cases
Apache Tika is essential in scenarios requiring automated content processing and analysis from diverse file formats.
Search & Indexing
Details
Used in web crawlers and indexing systems to extract text from documents for full-text search.
User Value
Allows searching within the content of diverse document types like PDF, DOCX, etc.
Data Engineering & Analysis
Details
Integrated into data pipelines to extract structured and unstructured data from documents for analysis.
User Value
Facilitates the inclusion of document content into data analysis workflows.
Content Management
Details
Employed in digital asset management systems to extract metadata for organization and searchability.
User Value
Automates metadata extraction, improving content discoverability and management.
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