One-Click File Management
Imagine a magical piece of software that organizes your entire hard drive for you.
Whenever it finds an .mp3, the software scans it, tags and converts it if necessary, recognizes that it is likely a podcast and not a song, and places it in the “Automatically Add To iTunes” folder.
For images, you specify whether to sort by date, person, place, or contents, and the program sorts them into a logical file structure using facial recognition, location tags, file date, &c. That makes it easy to add them to iPhoto or Picasa, and saves you having to sort through and organize all of the imported images.
Likewise, it scans your .pdf’s and .doc’s for subject matter and organizes them into categories, understanding the difference between the .pdf version of a book and a .pdf of your bank statement.
You can see how you can apply this to the most common file types at first, with a handful of options and iterate the software from there.
In the beginning, it may be best if it gets a one-click confirmation from the user for any decision that doesn’t produce a certain confidence level. When it does this, it could offer one or two alternate options for the file that the user can specify with a tap or click.
And, most importantly, information about the files can be anonymously relayed to a central location where you can compare how different users chose to sort certain files so that the program educates itself and performs better for each subsequent user. So, if 1,000 people have a .pdf with the same header (even if the rest of the file is different,) and 900 of them said that it belongs in a folder called BANK STATEMENTS, then the software defaults to doing the same for you.
Finally, to find or manually change a file, you’d search for a file intuitively. For example, if you download an image of Olivia Wilde—and the software has already processed the photo, you’d simply search for PICTURES > PEOPLE > OLIVIA WILDE, or PICTURES > FEMALE > RECENT, or in my case PICTURES > IMAGINARY GIRLFRIENDS.
Potential Clients: Apple, Google, Ubuntu, Microsoft