Data Extractor 1.0
Data Extractor allows to extract data from files and collect them ready to be exported for later use Data is collected in records with custom specified fields inside an internal table. This way the data can be easily exported whenever you need to.
It solves the problem that often advanced users have, the necessity to extract data available in text format on one or more files (often thousands and thousands of files) , and moving them inside a table or a database in an ordered and structured form with fields and records for archiving and successive processing.
Data extractor can parse thousands and thousands of file in few seconds and collect all the data inside these files using simple instructions on how to recognize data, how to extract them and where to put these data inside Data Extractor tables, ready to be exported.
When the data you want to extract are recognizable inside a text by a start label and the end of data by another label or a newline or return or a tab, Data Extractor can extract it and do in few seconds ,the job you would requires weeks or months to do.
Data Extractor provides all the tools to accomplish these specific tasks in a fast and smart way.
Data Extractor app provides an internal database table where data can be collected. Data are always available for export on disk in CVS (comma separated value) or TSV (tab separated value) Name of custom fields can be used as first record during exportation.
Data Extractor application is document based and any document can be customized for fast batch processing of large amount of data with specific sources, rules of extractions and custom destination fields.
The application includes a PDF user guide and an internal help with also 4 practical lessons on how to extract data from text files and put them inside a table the user can create and modify.
Due to the complexity of the operations we discovered that it is a lot easier to show to the user some examples of usage before explaining from a general point of view how the app works.
In this case learning by example works better The user can download from our site the demo examples containing the documents and text files used for the 4 easy lessons.
NOTE: To buy Data Extractor via the AppStore an Apple account is required.
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