Want to import data from JSON array to Access ?
Try Withdata FileToDB, a desktop JSON array to Access converter for Windows, MacOS, and Linux, Import JSON array 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.
Import data from JSON array to Access
Login to Access -> Choose JSON array file -> Set Access table -> Import JSON array to Access
Choose Access and logon.
Click “Wizard – 1 File To 1 Table” at task dialog.
Select the “JSON” file type.
then show the wizard.
1. Open a JSON array file.
Support large ( > 4GB ) JSON array file.
Here is the file’s content.
FileToDB will parse JSON array.
2. Select a Access table and config fields.
3. Preview data will be in Access table.
4. Import JSON array data to Access.
View imported data in Access table
Convert JSON array to Access in command line
Save “JSON array to Access” session, then you can:
- Import JSON array to Access in Windows command line.
- Import JSON array to Access in Linux command line.
- Import JSON array to Access in macOS command line.
Set scheduled tasks for converting JSON array to Access
You can schedule and automate this “JSON array to Access” conversion task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “JSON array to Access” conversion.
- Set scheduled task for “JSON array to Access” conversion.
FAQ
More about Withdata FileToDB – JSON Array to Access converter
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JSON Array → Access reference
Type mapping
| Value kind | in JSON Array | 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 Array 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 Array | 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.
