CSV To SQL Statements Software

Financial data can be stored in various containers, from simple CSVs to documents with protection algorithms and complex internal layouts. When dealing with the former formats, sometimes it is useful to transfer data to other files. CSV To SQL Statements Software can assist users facing such issues, more specifically when seeking to migrate information to general TXTs, without altering the layout of the original file.

Process multiple documents at the same time

Essentially, one can use this lightweight tool as a go between CSVs and advanced database containers, such as SQLs and MDBs. The strong point of CSV To SQL Statements Software is that it employs SQL statements to migrate data without incurring loses to data integrity or consistency (as would be the case with manual copy-paste operations, for example).
Another noteworthy aspect is the ability to process multiple source documents at the same time. More-so, the utility can load and process entire folders with just a few mouse clicks. It is possible to define file-type masks when loading source documents, an operation through which one could presumably process any type of file.

Use file-type masks to load any document and customize the delimiters employed

However, it should be noted that if using this technique to load documents with a more complex internal structure, such as DOCs, the application can return errors. Therefore, although potentially valuable, file-type masks should be used with caution when targeting anything other than TXTs and CSVs.
Several customization options are available to users, such as adjusting the table name, the CSV and table delimiters employed, or the usage of the semicolon. Before saving the data to a local TXT document, one can preview results or copy information to the Clipboard.

The application comes across as a simple intermediary tool for migrating data from CSVs to TXTs, without affecting the layout

In conclusion, CSV To SQL Statements Software is a simple, but practical tool for anyone who wants to import data from CSVs and TXTs into dedicated databases. The ability to load and process any document is potentially very useful; however, it lacks stability when dealing with more advanced formats.