Want to bulk import CSV files into Clipper tables at one time?
Try Withdata FileToDB, a desktop CSV to Clipper converter for Windows, MacOS, and Linux, Convert CSV to Clipper, 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.
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
Bulk import CSV files into Clipper tables
Login to Clipper -> Choose CSV files -> Set Clipper tables -> Import CSV files to Clipper tables
Choose Clipper and logon.
Click “Wizard – N Files To N Tables” 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. Set “Import Type”.
4. Map Clipper tables to CSV files.
5. Summary. Set “Convert Rows” and “Skip Rows” if need.
6. Import CSV files to Clipper tables, 1 file to 1 table, one by one.
View imported data in Clipper table
Bulk import CSV files into Clipper tables in command line
Save “bulk CSV files to Clipper tables” session, then you can:
- Bulk import CSV files into Clipper tables in Windows command line.
- Bulk import CSV files into Clipper tables in Linux command line.
- Bulk import CSV files into Clipper tables in macOS command line.
Set scheduled tasks for bulk importing CSV files into Clipper tables
You can schedule and automate this converting task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “CSV to Clipper” conversion.
- Set scheduled task for “CSV to Clipper” conversion.
FAQ
More about Withdata FileToDB – CSV to Clipper 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 also:
CSV → Clipper reference
Type mapping
| Value kind | in CSV | in Clipper |
|---|---|---|
| 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 Clipper 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 Clipper |
|---|---|---|
| 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 Clipper.
- CSV values of kind Binary have nowhere to go in Clipper.
- CSV values of kind JSON have nowhere to go in Clipper.
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.