GroupDocs.Search

GroupDocsSearch Tools.NETJava

Implement powerful document search and indexing in applications.

  • Index and search content across many document formats.
  • Use advanced queries including fuzzy and wildcard searches.
  • Manage indexes and customize search behavior programmatically.
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GroupDocs.Search
GroupDocs.Search provides APIs that allow developers to index documents and perform high-speed full-text searches within application data. The library supports indexing of a wide range of document formats and enables advanced query processing, customizable indexing settings, and detailed search result analysis for content retrieval systems.

Multi-Format Document Indexing

Index text from many document types including Microsoft Office files, PDFs, OpenDocument formats, emails, archives, and images. This allows applications to build searchable repositories containing diverse content.

Index Creation and Management

Create, load, update, and merge indexes programmatically. Applications can maintain multiple indexes and combine them when needed to improve search efficiency and organization.

Advanced Query Capabilities

Perform complex searches using wildcards, fuzzy search, phrase queries, and regular expressions. These options help retrieve relevant results even when queries contain partial matches or variations.

Morphological Search Support

Handle different grammatical forms of words when performing searches. Morphological analysis allows queries to match related word forms such as plurals or different verb tenses.

Flexible Indexing Configuration

Control how documents are indexed by defining stop words, specifying file filters, or excluding particular files and folders. This helps tailor indexing behavior to specific application requirements.

Processing of Archives and Protected Files

Index documents stored within compressed archives and process password-protected files where credentials are provided, allowing access to content contained within nested sources.

Search Result Analysis

Retrieve detailed information about matches including document locations, occurrence counts, and highlighted fragments. These details can be used to build search result interfaces within applications.

Optimized Index Structure

Organize indexes into manageable segments and use compact storage structures to maintain efficient disk usage while preserving fast query performance.

Product Compatibility

Review the details below to ensure this product is supported within your environment.

Component Type

  • .NET
  • Java

.NET Version

  • .NET 10 LTS
  • .NET 9 STS
  • .NET 8 LTS
  • .NET 7 STS
  • .NET 6 LTS
  • .NET 5 / .NET Core 3.1
  • .NET 4.8 or earlier

.NET Platform

  • .NET Assembly
  • .NET Class
  • .NET Core 3.1 Assembly

Java Platform

  • Java Class

IDE Support

  • Visual Studio