Want to batch copy data from FoxBase tables to Access ?
Try Withdata DBCopier, a FoxBase to Access converter for Windows, Mac, and Linux, Bulk copy FoxBase to Access, 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.
- Support Windows, Linux, and macOS.
Batch copy data from FoxBase tables to Access tables
Login to FoxBase and Access -> Select source FoxBase tables -> Set target Access tables -> Copy FoxBase data to Access
Choose source FoxBase database and logon.

Choose target Access database and logon.

Click “Convert All Tables” at task dialog.

then show the wizard.
1. Select source FoxBase tables.

2. List target Access tables.

3. Select Access tables to import.

4. Transfer data from FoxBase tables to Access.

More about FoxBase to Access converter
See also:
- Copy FoxBase table data to Access
- Copy FoxBase query results to Access table
- Merge multiple similar FoxBase tables to 1 Access table
FoxBase → Access reference
Type mapping
| Value kind | in FoxBase | in Access |
|---|---|---|
| Int | Numeric(10,0) | Long Integer |
| Bigint | Numeric(19,0) | Long Integer |
| Decimal | Numeric(p,s) | Decimal |
| Float | Float | Double |
| Text | Character(n) | Text(n) |
| Long text | Memo | Long Text |
| Date | Date | Date/Time |
| Datetime | (none) | Date/Time |
| Binary | (none) | OLE Object |
| Boolean | Logical | Yes/No |
| JSON | (none) | Long Text |
Dialect differences
Both FoxBase and Access are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in FoxBase | in Access |
|---|---|---|
| identifiers | — | [square brackets] |
| row limit | (driver dependent) | SELECT TOP n |
| dates | Date (D) | Date/Time |
| long text | Memo (M) | MEMO |
| binary | — | OLE Object |
No counterpart
- Access has no equivalent for Date and time – it has to be flattened or dropped.
- Access has no equivalent for Binary – it has to be flattened or dropped.
- Access has no equivalent for JSON – it has to be flattened or dropped.
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