1. A single-action method to facilitate identification, condensation and capture of key concepts from subject matter of printed paper text, said single-action method comprising; (a) obtaining still images directly of said printed paper text with one or more compact, handheld, mobile data input devices comprising a digital camera and computer system wherein said compact, handheld, mobile data input device is selected from a group consisting of tablets; (b) stabilizing, rotating, deskewing, brightening and focusing said still images; and (c) converting said stabilized, rotated and focused still images into digitized text using software operating on said mobile data input device; (d) converting said digitized text into editable text form using optical character recognition software; and (e) converting said editable text form into a machine readable summary using text summarization software; wherein said text summarization software that computes similarity measurements in text or between text and text excerpts from said editable text form, generates text relation maps for said similarity measurements that exceed a threshold value, and uses said text relation maps as inputs for (i) a clustering process to identify text themes; (ii) traversing texts selectively using individual text excerpts; and (iii) extracting summary statements; and wherein said steps (a) through (e) are performed upon a single-click from a user.
1. A single-action method to facilitate identification, condensation and capture of key concepts from subject matter of printed paper text, said single-action method comprising; (a) obtaining still images directly of said printed paper text with one or more compact, handheld, mobile data input devices comprising a digital camera and computer system wherein said compact, handheld, mobile data input device is selected from a group consisting of tablets; (b) stabilizing, rotating, deskewing, brightening and focusing said still images; and (c) converting said stabilized, rotated and focused still images into digitized text using software operating on said mobile data input device; (d) converting said digitized text into editable text form using optical character recognition software; and (e) converting said editable text form into a machine readable summary using text summarization software; wherein said text summarization software that computes similarity measurements in text or between text and text excerpts from said editable text form, generates text relation maps for said similarity measurements that exceed a threshold value, and uses said text relation maps as inputs for (i) a clustering process to identify text themes; (ii) traversing texts selectively using individual text excerpts; and (iii) extracting summary statements; and wherein said steps (a) through (e) are performed upon a single-click from a user. 5. The single-action method of claim 1 , wherein said machine readable summary is converted into an format selected from the group comprising Roman, numbered, alphabetical or bullet-point outline.