Want to parse online CSV file and save to dBase?
Try Withdata FileToDB, a desktop CSV to dBase converter for Windows, MacOS, and Linux, Import cloud CSV to dBase, Easy and Fast.
- Can run in GUI mode, Step by Step, just a few mouse clicks.
- Can run in Command line, for Scheduled Tasks and Streams.
- Convert locally and securely, avoid uploading large or private CSV file(s) to online services.
Download Withdata FileToDB
Windows 64 bit
Windows 32 bit
Linux .deb (For Debian, Ubuntu) 64 bit
Linux .rpm (For Red Hat, Fedora, SUSE) 64 bit
MacOS 64 bit
Import cloud CSV file to dBase table
Choose dBase and logon.
Click “Wizard – 1 File To 1 Table” at task dialog.
Select “Source Type” with “Url”.
then show the wizard.
1. Input the CSV file URL, and download the file.
2. Open the saved CSV file.
3. Config target dBase table.
4. Set rows options.
5. Import cloud CSV to dBase.
See dBase table
Import cloud CSV to dBase in command line
Save “CSV to dBase” session, then you can:
- Import cloud CSV to dBase in Windows command line.
- Import cloud CSV to dBase in Linux command line.
- Import cloud CSV to dBase in macOS command line.
Set scheduled tasks for importing cloud CSV to dBase
You can schedule and automate this converting task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “CSV to dBase” conversion.
- Set scheduled task for “CSV to dBase” conversion.
FAQ
More about Withdata FileToDB – CSV to dBase converter
Download Withdata FileToDB
Windows 64 bit
Windows 32 bit
Linux .deb (For Debian, Ubuntu) 64 bit
Linux .rpm (For Red Hat, Fedora, SUSE) 64 bit
MacOS 64 bit
CSV → dBase reference
Type mapping
| Value kind | in CSV | in dBase |
|---|---|---|
| Int | 1234 | Numeric(10,0) |
| Bigint | 9007199254740993 | Numeric(19,0) |
| Decimal | 1234.56 | Numeric(p,s) |
| Float | 1.234e+10 | Float |
| Text | quoted only when it contains a comma or a quote | Character(n) |
| Long text | must be quoted; line breaks inside force multi-line records | Memo |
| Date | 2026-09-18 | Date |
| Datetime | 2026-09-18 14:30:00 | (none) |
| Binary | not representable - base64 or hex string | (none) |
| Boolean | TRUE / FALSE, or 1 / 0 depending on the writer | Logical |
| JSON | the whole JSON value quoted, with internal quotes doubled | (none) |
Dialect differences
CSV is a file format and dBase is a database server, so the target has to be told the types the file never carried - the rows below are where the two sides diverge.
| Property | in CSV | in dBase |
|---|---|---|
| port | — | (file-based) |
| identifiers | Double quotes; a literal quote is doubled ("" ) | — |
| row limit | — | (driver dependent) |
| dates | Conventional text: 2026-09-18 or 2026-09-18 14:30:00 | Date (D) |
| long text | — | Memo (M) |
| binary | Not supported | — |
| separator | Comma "," | — |
| encoding | No declaration - UTF-8 works only with a BOM | — |
| typing | None - every field is text | — |
| shape | Flat table, optional header row | Tables of rows and columns |
| ceiling | No formal limit; row count bounded by memory | — |
No counterpart
- CSV values of kind Date and time have nowhere to go in dBase.
- CSV values of kind Binary have nowhere to go in dBase.
- CSV values of kind JSON have nowhere to go in dBase.
Convert your data online, free
Free in-browser converters for CSV, Excel, JSON, XML and SQL: Withdata Online Data Conversion. Large files, batch conversion or scheduling? See the offline desktop apps, or browse all data conversion tools.