Want to import data from CSV file to DBF?
Try Withdata FileToDB, a desktop CSV to DBF converter for Windows, MacOS, and Linux, Convert CSV to DBF, 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 privately, avoid uploading large or private CSV file(s) to online services.
- Support Windows, Linux, and macOS.
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 data from CSV file to DBF
Login to DBF -> Choose CSV file -> Set DBF table -> Import CSV to DBF
Choose DBF and logon.
Click “Wizard – 1 File To 1 Table” at task dialog.
Select the “CSV” file type.
then show the wizard.
1. Open a CSV file.
Support large ( > 4GB ) CSV file.
Here is the file’s content.
2. Select a DBF table and config fields.
3. Preview data will be in DBF table.
4. Import CSV data to DBF.
View imported data in DBF table
Import CSV to DBF in command line
Save “CSV to DBF” session, then you can:
- Import CSV to DBF in Windows command line.
- Import CSV to DBF in Linux command line.
- Import CSV to DBF in macOS command line.
Set scheduled tasks for importing CSV to DBF
You can schedule and automate this “CSV to DBF” conversion task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “CSV to DBF” conversion.
- Set scheduled task for “CSV to DBF” conversion.
FAQ
What is Withdata FileToDB?
How long does it take to import CSV data to DBF?
Is it safe to import CSV data to DBF using FileToDB?
Can I import CSV data to DBF on Linux, Mac OS?
Can I import CSV data to DBF in command line?
More about Withdata FileToDB – CSV to DBF 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
See Video: Import data from CSV file into DBF table in a few clicks
See also:
CSV → DBF reference
Type mapping
| Value kind | in CSV | in DBF |
|---|---|---|
| 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 DBF 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 DBF |
|---|---|---|
| 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 DBF.
- CSV values of kind Binary have nowhere to go in DBF.
- CSV values of kind JSON have nowhere to go in DBF.
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.