Human rights teams, legal researchers, and archivists use Uwazi to turn scattered documents and case records into searchable, structured collections that the public or trusted partners can explore online. You design templates that define exactly which fields each record carries, from dates and locations to people, organizations, and document types, then import material through the interface or in bulk from CSV files. Uploaded PDFs and documents become full-text searchable, so a phrase buried inside a scanned report is as findable as the metadata typed beside it. Relationships connect related entities across the collection, letting you trace how a person, an event, and a piece of evidence fit together instead of keeping them in isolated folders. Curators build public pages with live filters, maps, and visualizations drawn directly from collection data, while granular permissions decide which records stay private, which are shared with specific groups, and which are published for everyone. Multi-language support lets the same collection serve readers in several languages, and activity logs keep an audit trail of edits. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.