Withdata Software

Batch export Visual FoxPro tables to TXT files

Want to batch export data from Visual FoxPro tables to TXT files?

Try Withdata DBToFile, a Visual FoxPro to TXT converter for Windows, Linux, and macOS, Export Visual FoxPro data to TXT, Easy and Fast.

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MacOS 64 bit

Batch export data from Visual FoxPro tables to TXT files

Login to Visual FoxPro -> Select Visual FoxPro tables -> Set TXT file options -> Export Visual FoxPro tables to TXT

Choose Visual FoxPro and logon.

Click “Export All Tables” at task dialog.

Select TXT file type.

1. Select Visual FoxPro tables to export.

2. Set TXT options.

3. See Visual FoxPro tables to be exported.

4. Set rows options.

5. Export Visual FoxPro data to TXT files.

After exporting, you can view output TXT files.


More about Visual FoxPro to TXT converter

See also:

Visual FoxPro → TXT reference

Type mapping

Value kindin Visual FoxProin TXT
IntNumeric(10,0)1234, or right-aligned in a fixed-width column
BigintNumeric(19,0)9007199254740993
DecimalNumeric(p,s)1234.56
FloatFloat1.234e+10
TextCharacter(n)written as-is; padding depends on the chosen layout
Long textMemowritten as-is
DateDatewhatever the writer chose
DatetimeDateTimewhatever the writer chose
BinaryGeneralnot representable
BooleanLogicalY / N, or 1 / 0, or TRUE / FALSE
JSON(none)written as-is

Dialect differences

Visual FoxPro is a database server and TXT is a file format, so the gap is wider than a dialect difference - the rows below are where values and structure stop lining up.

Propertyin Visual FoxProin TXT
port(file-based)—
identifiers—None by convention
row limit(driver dependent)—
datesDate (D), DateTime (T)Whatever the writer produced; no convention is guaranteed
long textMemo (M)—
binaryGeneral (G)Not supported
separator—Whatever was chosen - often fixed column widths
encoding—No declaration - UTF-8 works only with a BOM
typing—None - every field is text
shapeTables of rows and columnsFree form; a parser has to be told the layout
ceiling—No formal limit

No counterpart

  • TXT has no equivalent for JSON - it has to be flattened or dropped.

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