iPhone Analzyer allows you to forensically examine or recover date from in iOS device. It principally works by importing backups produced by iTunes or third party software, and providing you with a rich interface to explore, analyse and recover data in human readable formats. Because it works from the backup files everything is forensically safe, and no changes are made to the original data.

Features

• Supports iOS 2, iOS 3, iOS 4 and iOS 5 devices
• Multi-platform (Java based) product, supported on Linux, Windows and Mac
• Fast, powerful search across device including regular expressions
• Integrated mapping supports visualisation of geo-tagged information, including google maps searches, photos, and cell-sites and wifi locations observed by the device (the infamous "locationd" data)
• Integrated support for text messages, voicemail, address book entries, photos (including metadata), call records and many many others
• Recovery of "deleted" sqlite records (records that have been tagged as deleted, but have not yet been purged by the device can often be recovered),/li>
• Integrated visualisation of plist and sqlite files
• Includes support for off-line mapping, supporting mapping on computers not connected to the Internet
• Support for KML export and direct export to Google Earth
• Browse the device file structure, navigate directly to key files or explore the device using concepts such as "who", "when", "what" and "where".
• Analyse jail broken device directly over SSH without need for backup (experimental)

PDFMiner is a tool for extracting information from PDF documents. Unlike other PDF-related tools, it focuses entirely on getting and analyzing text data. PDFMiner allows one to obtain the exact location of text in a page, as well as other information such as fonts or lines. It includes a PDF converter that can transform PDF files into other text formats (such as HTML). It has an extensible PDF parser that can be used for other purposes than text analysis.

PDFMiner is about 20 times slower than other C/C++-based counterparts such as XPdf.

Online Demo: (pdf -> html conversion webapp)