The standard search in Nextcloud quickly reaches its limits: it only searches filenames, not the actual content of files. Anyone looking for a specific keyword in a PDF document, an Excel spreadsheet or an email is left to manual browsing without full-text search. With growing data volumes, this becomes a real productivity killer.

The full-text search for Nextcloud fundamentally solves this problem: a dedicated Elasticsearch server indexes all file contents and makes them findable in fractions of a second. Not only text files are captured, but also PDFs, Office documents, emails and many other formats. The search delivers precise results – even with hundreds of thousands of files.

What Sets Elasticsearch Apart from Standard Search

Elasticsearch is a distributed search and analytics platform designed to handle large volumes of data. Unlike file-based search in Nextcloud, Elasticsearch works with an inverted index: every word is captured once and linked to the documents in which it appears. The result is dramatically faster search – even with millions of pages.

• Content search instead of name search: Find documents by their content, not just by filename.
• Milliseconds instead of minutes: Thanks to indexing, results are delivered almost instantly, regardless of data volume.
• Broad format support: PDFs, DOCX, XLSX, PPTX, TXT, emails and many other formats are searched.
• Fuzzy search: Relevant results are found even with typos or similar spellings.

Why a Dedicated Search Server?

Elasticsearch is resource-intensive – both during indexing and for search queries. On a shared hosting server or a small VPS already running the Nextcloud instance, operating an Elasticsearch server frequently leads to performance issues, high CPU load and memory bottlenecks.

A dedicated VPS as a search server separates search load from cloud load:

• No impact on the cloud: Nextcloud remains performant while Elasticsearch operates independently.
• Optimised configuration: The search server is specially pre-configured for Elasticsearch – with tuned RAM, heap size and JVM settings.
• Easy connection: The connection is made via the official fulltextsearch app from the Nextcloud App Store.
• No administration required: Updates, monitoring and maintenance of the Elasticsearch server are handled entirely by us.

Typical Use Cases

• Companies with large document collections: Instantly find contracts, invoices, minutes and reports instead of manually browsing folder structures.
• Law firms and legal departments: Search legal documents, briefs and correspondence by terms and case references.
• Educational institutions: Make teaching materials, scripts and research documents quickly findable for students and staff.
• IT teams and developers: Access technical documentation, configuration files and log analyses through a central search.
• Associations and organisations: Efficiently search minutes, statutes and member documents – still findable even after years.

Data Protection and Security

The Elasticsearch server operates on servers in Germany housed in TÜV-certified, ISO 27001 compliant data centres. The connection between your Nextcloud and the search server is fully TLS/SSL encrypted.

• Full GDPR compliance
• DPA (Data Processing Agreement) included
• No data sharing with third parties
• Search index remains entirely on the dedicated server within the EU
• Regular security updates and monitoring

Full-Text Search vs. Standard Search in Nextcloud

Setup in Three Steps

1. Choose a plan: Decide on Full-Text Search S (up to 100,000 pages) or M (up to 1,000,000 pages).
2. Install fulltextsearch app: Install the fulltextsearch app and the Elasticsearch plugin from the Nextcloud App Store.
3. Connect server: Enter the server address in the app settings and start indexing – done.

Note: For setup, you need command-line access to your Nextcloud server to run occ commands for the initial indexing.

Frequently Asked Questions

Which file formats are indexed?
Elasticsearch indexes all common text and document formats: PDF, DOCX, XLSX, PPTX, ODT, ODS, ODP, TXT, HTML and email formats. Indexing occurs automatically on upload or modification.

Does full-text search work with a Nextcloud at another provider?
Yes. The Elasticsearch server is provider-independent and works with any Nextcloud installation – the only requirement is command-line access for the initial indexing.

How do the S and M packages differ?
The difference lies in indexing capacity: Full-Text Search S supports up to 100,000 pages, Full-Text Search M up to 1,000,000 pages. Both packages offer identical features and security standards.

What happens when my index limit is reached?
You can upgrade to a larger package at any time. The existing index is retained, so no complete re-indexing is necessary.