Want to import multiple JSON files into a single Access table?
Try Withdata FileToDB, a desktop JSON to Access converter for Windows, MacOS, and Linux, Import JSON 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 JSON file(s) to online services.
- Support Windows, Linux, and macOS.
Import multiple JSON files into a single Access table
Login to Access -> Choose JSON files -> Set Access table -> Import JSON files to Access table
Choose Access and logon.
Click “Wizard – N Files To 1 Table” at task dialog.
Select the “JSON” file type.
then show the wizard.
1. Select a folder that constains JSON files.
Support large ( > 4GB ) JSON file.
2. Config first JSON file importing options.
3. Select a Access table and config fields.
4. Preview data will be in Access table.
5. Import multiple JSON files to the Access table.
View imported data in Access table
Convert JSON files to Access in command line
Save “JSON to Access” session, then you can:
- Import multiple JSON to a single Access table in Windows command line.
- Import multiple JSON to a single Access table in Linux command line.
- Import multiple JSON to a single Access table in macOS command line.
Set scheduled tasks for converting JSON files to Access
You can schedule and automate this “JSON to Access” conversion task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “JSON to Access” conversion.
- Set scheduled task for “JSON to Access” conversion.
FAQ
More about Withdata FileToDB – JSON to Access converter
Download Withdata FileToDB
See also:
JSON → Access reference
Type mapping
| Value kind | in JSON | in Access |
|---|---|---|
| Int | 1234 (number) | Long Integer |
| Bigint | 9007199254740993 | Long Integer |
| Decimal | 1234.56 (number) | Decimal |
| Float | 1.234e10 (number) | Double |
| Text | "text" (string) | Text(n) |
| Long text | "multi-line\ntext" (escaped newline inside a string) | Long Text |
| Date | "2026-09-18" (string) | Date/Time |
| Datetime | "2026-09-18T14:30:00Z" (string) | Date/Time |
| Binary | "base64:..." (string) | OLE Object |
| Boolean | true / false (boolean) | Yes/No |
| JSON | nested object or array, kept as structure | Long Text |
Dialect differences
JSON 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 JSON | in Access |
|---|---|---|
| port | — | (file-based) |
| identifiers | Double quotes; backslash escapes | [square brackets] |
| row limit | — | SELECT TOP n |
| dates | No date type: dates arrive as strings and the reader must p... | Date/Time |
| long text | — | MEMO |
| binary | Not supported natively - base64 inside a string | OLE Object |
| separator | Braces and commas | — |
| encoding | UTF-8 by definition | — |
| typing | string, number, boolean, null, object, array - no date type | — |
| shape | Nested objects and arrays | Tables of rows and columns |
| ceiling | Whole document is usually parsed into 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.
