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FlowerDocs' search capabilities make the most of the document base, while maintaining the ergonomics required by end-users.


The classic search functions of a DMS are described, including:

  • selection of fields to be displayed
  • search filters
  • sorting on metadata
  • pagination of results
  • etc.

more details can be found in the technical documentation


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We recommend using a maximum of 20 criteria in a search.

Searches can be saved and shared between FlowerDocs users.

Searches return a maximum of 10,000 results; an error occurs when paging after this limit. This limit is the same using user interface and web services.

Full-text search

With FlowerDocs, it is possible to configure a full-text search. This allows a user to search on the content of a document rather than on its metadata.

In a search form, you can add the “Content” criterion to perform a full-text search.


The full-text search function is based on the OpenSearch search function, with the following specific features for writing down search items :

  • The order of words in the search doesn't matter
    • Search for the following value “{word A} {word B}” retrieves documents containing words A and B, regardless of where words A and B appear in the content.
  • There are AND, OR and NOT operators, which allow you to specify what you are looking for :
    • Searching for “{word A} {word B}” retrieves documents containing words A and B, but not documents containing only word A, word B or containing neither A nor B.
    • Searching for “{word A} OR {word B}” retrieves documents containing word A, word B or both words, but does not retrieve documents containing neither word.
    • Searching for “{word A} AND NOT {word B}” retrieves documents containing word A, but not word B.

The following characters must not be used in full-text searches: +, -, =, ||, >, <, !, (, ), {, }, [, ], ^, ", ~, *, ?, :, \, /

To find a document containing the name "John-Peter", use the search "John Peter".

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Full-text search works only on documents whose content has been indexed beforehand. The content is indexed using a operation subscription.