Free online SAV to ACCDB converter

What the SAV format is

SPSS .sav files store rectangular statistical data together with variable names, labels, value labels, missing-value definitions, measurement levels, and other metadata. IBM SPSS Statistics creates them, and they are common in survey research, market research, universities, and government datasets.

The extension is also used by some games for saved progress. A game save cannot normally be converted to Access because its binary structure is application-specific; the steps below apply to SPSS SAV files.

What the ACCDB format is

.accdb is the database format used by Microsoft Access 2007 and later. It can contain multiple related tables, primary keys, queries, forms, reports, indexes, and VBA modules.

Access is useful when the imported data must be queried with SQL, joined to other tables, edited by users, or presented through forms and reports. Converting an SPSS file does not automatically create a normalized Access database: the SAV table normally becomes one Access table unless you design additional tables and relationships.

How to convert SAV to ACCDB

Method 1: Export from SPSS, then import into Access

1. Open the file in IBM SPSS Statistics and check variable names, missing values, labels, and data types.
2. Export the dataset through File → Export, selecting CSV or another delimited format. Use UTF-8 if the export dialog provides an encoding option.
3. Open Microsoft Access and create a blank database with File → New → Blank database.
4. Choose External Data → New Data Source → From File → Text File, select the exported CSV, and choose Import the source data into a new table.
5. In the import wizard, confirm the delimiter and first-row field names, assign suitable field types, and set a primary key if one exists. Do not let Access guess types blindly when columns contain mixed values or long identifiers.
6. Save the database as converted.accdb. Open the imported table and verify row counts, dates, decimal values, missing values, and non-ASCII characters.

Method 2: Export with Python when SPSS is unavailable

Install the readers with pip install pyreadstat pandas, then export the data to an Access-readable UTF-8 CSV:

import pyreadstat

frame, metadata = pyreadstat.read_sav("input.sav", apply_value_formats=False)
frame.to_csv("input.csv", index=False, encoding="utf-8-sig")

Import input.csv into Access using External Data → New Data Source → From File → Text File. Setting apply_value_formats=False retains the original stored numeric codes; use True only when you want SPSS value labels exported as displayed text instead.

Online option

You can check whether the built-in converter on 101convert.com supports the particular SAV variant and convert the file there for free without installing software. For confidential research data, use the local SPSS or Python method instead of uploading the dataset.

Quality and compatibility limits

• There is no universal one-click conversion from SPSS SAV to ACCDB because the formats model data differently. The usual workflow is SAV → CSV → Access table.
• CSV does not preserve SPSS metadata such as variable labels, value labels, user-defined missing values, or measurement levels. Keep the original SAV file and, if those definitions matter, export the SPSS data dictionary separately or recreate the metadata in Access.
• Access may infer an incorrect type when early CSV rows do not represent the whole column. Review long text, dates, decimal precision, ZIP codes, survey IDs, and columns containing both numbers and text.
• Access has a 2 GB maximum database file size and a maximum of 255 fields per table. Very large datasets may require splitting tables or using SQL Server instead.
• Before importing, decide whether repeated survey responses, code lists, or respondent details should become separate related tables. A single imported table preserves the rows but does not provide relational design.