PDFKeeper

PDFKeeper is a modern and useful solution that offers users the ability to both store and manage PDF documents.

For starters, the app allows you to store and manage PDF documents in a local database. Alternatively, you can use a compatible, client-server relational database.

The documents are indexed and you can take advantage of the full-text search functionality to both locate and sort them using various filters such as Author, Subject, Category, Tax Year, and Date Added.

Files can be uploaded either in bulk or individually and configured folders can be set up to allow various integration and automation tasks. PDF documents can be viewed with your computer's default viewer or with the one integrated within the app.

You can flag documents, view and edit notes, as well as add keywords. PDFKeeper allows you to apply categories to selected document records directly when uploading them and set flag states to mark them for follow-up.

The app makes it very convenient for you to export the selected PDF documents with their respective category (including notes and flag state). This is handy when you want to import the exported data to either another database or other specialized apps.

PDFKeeper uses SQLite (a relational database engine) to store your documents locally. It can be set up quite effortlessly with the help of the .CMD file located in the app's Help file.

Alternatively, you can use a client-server database to store and manage your documents. PDFKeeper works best with Oracle Database, and it's recommended that the DMS be installed on a computer capable of handling the expected load.

Information regarding the step-by-step procedures to set up these local databases is available in the app's Help file.

Even though PDFKeeper requires a bit of reading and some patience to set up properly, it's definitely worth your attention if you're looking for a reliable personal document storage solution.

After all, there aren't many similar solutions (especially not free ones) that allow you to locate documents quickly and effortlessly, all while making them full-text search-ready.