A three-step program for efficient document management with Fenn
To address the common file management challenges of Mac users, Fenn provides a localization solution based on AI technology, which can be divided into the following three steps:
- Precision Indexing Configuration: When starting up for the first time, it is recommended to select the core workspace (e.g. manuscript/picture folder) to be indexed to avoid wasted performance caused by full disk scanning. You can adjust the scope at any time in Settings - Index Management to exclude temporary folders, system directories and so on.
- Semantic Search TechniquesBreak through the traditional file name search limitations, directly enter the document content keywords (such as "Q3 financial report key data"), Fenn can automatically identify PDF/Word text, video subtitles and so on. Advanced usage includes:
- Add format qualifier: "pdf:project program"
- Timeframe Limit: "Revision Time: Last Week Customer Contract"
- In-depth content analysis: Enable visual understanding of multimedia files, searching for "sunset beach" can directly locate video-related clips or matching photos. Combined with Command+Space, the search box can be called up in seconds.
Typical effect comparison: the traditional search takes 3 minutes to find the contract documents, through Fenn's "Party seal page Electronic Signature" and other composite conditions can be located within 10 seconds.
This answer comes from the articleFenn: Local AI search tool to find Mac computer files quicklyThe
May not be reproduced without permission:AI productivity tools " How to solve the problem of too many files on Mac computer that are hard to find quickly?
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