THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. This project has been released open source under the MIT License.Ĭopyright © 2018 Dan O'Day ( is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: I value making the data available in a standard delimited format so that I can manipulate/filter records on the command line or in a spreadsheet application (such as Microsoft Excel). I also want to limit any dependencies (such as configuring a web server and/or installing a runtime environment). While they both claim that the data remain local and are processed locally on your computer (and I have no reason to doubt these claims), I simply don't trust web-based solutions in this regard as a future maintainer could silently change this policy/behavior.įlexibility: I'm not a fan of having to view the data in a web browser (I want to be able to work with the data anywhere I want to). Privacy: Both SyncTech and Matt Joseph's recommended solutions involve uploading the backup file(s) to a website. I wanted something simpler, faster, and more reliable. Performance: Some of the existing solutions hang for a long time without responding and/or take a really long time to finish (if they finished at all). I found that lines of data in these files exceeded the maximum buffer size for line-reader-based solutions and either caused truncation or complete failure in several solutions (including Excel). ![]() The backup format base64-encodes images from MMS messages within the XML file itself. These large backup files caused some existing solutions to fail. Stability: I encountered backup XML files that were several gigabytes in size. With all of these existing parsers, why did you write your own? ![]() He also wrote a legacy Java application for parsing the backups ( GitHub project). Matt Joseph maintains an online tool for parsing these backups ( GitHub project). In addition, they documented various tools and methods for parsing the data. They also have some documentation for the XML format used by the app on their website. ![]() The SMS Backup & Restore Android app is currently maintained by SyncTech, and they offer both paid and free versions of the app as well as an online parser. A column named " Part Output Image Name" in the MMS output contains the precise file name of the outputted image.
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