Want to import multiple CSV files into a single DBF table?
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 files to online services.
- Support Windows, Linux, and macOS.
Import multiple CSV files into a single DBF table
Login to DBF -> Choose CSV files -> Set DBF table -> Import CSV files to DBF table
Choose DBF and logon.
Click “Wizard – N Files To 1 Table” at task dialog.
Select the “CSV” file type.
then show the wizard.
1. Select a folder that constains CSV files.
Support large ( > 4GB ) CSV files.
2. Config first CSV file importing options.
3. Select a DBF table and config fields.
4. Preview data will be in DBF table.
5. Import multiple CSV files to the DBF table.
View imported data in DBF table
Import multiple CSV files to DBF in command line
Save “multiple CSV files to DBF” session, then you can:
- Import multiple CSV files to DBF in Windows command line.
- Import multiple CSV files to DBF in Linux command line.
- Import multiple CSV files to DBF in macOS command line.
Set scheduled tasks for importing multiple CSV files to DBF
You can schedule and automate this converting 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
More about Withdata FileToDB – CSV to DBF converter
Download Withdata FileToDB
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.
