Want to import multiple CSV files into a single Access table?
Try Withdata FileToDB, a desktop CSV to Access converter for Windows, MacOS, and Linux, Convert CSV 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.
- Convert locally and privately, avoid uploading large or private CSV files to online services.
- Support Windows, Linux, and macOS.
Download 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 multiple CSV files into a single Access table
Login to Access -> Choose CSV files -> Set Access table -> Import CSV files to Access table
Choose Access 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 Access table and config fields.
4. Preview data will be in Access table.
5. Import multiple CSV files to the Access table.
View imported data in Access table
Import multiple CSV files to Access in command line
Save “multiple CSV files to Access” session, then you can:
- Import multiple CSV files to Access in Windows command line.
- Import multiple CSV files to Access in Linux command line.
- Import multiple CSV files to Access in macOS command line.
Set scheduled tasks for importing multiple CSV files to Access
You can schedule and automate this converting task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “CSV to Access” conversion.
- Set scheduled task for “CSV to Access” conversion.
FAQ
More about Withdata FileToDB – CSV to Access 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: Batch import data from multiple CSV files into a single Access table in a few clicks
See also:
CSV → Access reference
Type mapping
| Value kind | in CSV | in Access |
|---|---|---|
| Int | 1234 | Long Integer |
| Bigint | 9007199254740993 | Long Integer |
| Decimal | 1234.56 | Decimal |
| Float | 1.234e+10 | Double |
| Text | quoted only when it contains a comma or a quote | Text(n) |
| Long text | must be quoted; line breaks inside force multi-line records | Long Text |
| Date | 2026-09-18 | Date/Time |
| Datetime | 2026-09-18 14:30:00 | Date/Time |
| Binary | not representable - base64 or hex string | OLE Object |
| Boolean | TRUE / FALSE, or 1 / 0 depending on the writer | Yes/No |
| JSON | the whole JSON value quoted, with internal quotes doubled | Long Text |
Dialect differences
CSV is a file format and Access 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 Access |
|---|---|---|
| port | — | (file-based) |
| identifiers | Double quotes; a literal quote is doubled ("" ) | [square brackets] |
| row limit | — | SELECT TOP n |
| dates | Conventional text: 2026-09-18 or 2026-09-18 14:30:00 | Date/Time |
| long text | — | MEMO |
| binary | Not supported | OLE Object |
| 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 | — |
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.