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SQLite to Access Conversion: A Complete Guide

By Bill Crawford  ·  February 2026  ·  10 min read  ·  Last updated February 26, 2026

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Table of Contents

  1. Why Convert SQLite to Access?
  2. The Automation Approach
  3. Choosing a Target Version
  4. Type Mapping: SQLite → Access
  5. Foreign Keys → Access Relationships
  6. AUTOINCREMENT → AutoNumber
  7. Limitations and Edge Cases
  8. Prerequisites
  9. FAQ

SQLite and Access are both file-based databases, but they serve different ecosystems. SQLite is the default choice for mobile apps, embedded systems, and lightweight server-side storage. Access is the dominant desktop database in enterprise Windows environments, deeply integrated with Office, VBA, and Windows COM infrastructure. Converting from SQLite to Access is common when data produced by a mobile or web application needs to be consumed by business analysts, reporting tools, or existing Access-based workflows.

Why Convert SQLite to Access?

Several scenarios call for this direction of conversion:

The Automation Approach

Unlike SQLite (which has excellent browser-based support via sql.js), Access databases are a proprietary binary format that can only be created by the Jet or ACE database engine running on Windows. This means a browser tool cannot produce an .mdb or .accdb file directly.

The solution is a two-stage process: the browser tool reads the SQLite file, maps the schema, exports data as CSV, and generates a PowerShell script that runs on your Windows machine to create the actual Access database. The PowerShell script uses ADOX (ActiveX Data Objects Extensions) to create the database and tables, ADO to insert data, and ADOX Keys to set up relationships.

How it works: Browser reads SQLite → generates PowerShell + CSV package → you run the script on Windows → script creates a ready-to-use Access database with tables, data, relationships, and validation.

Choosing a Target Version

The tool lets you pick your exact target version. Each version uses a different OLE DB provider and file extension:

EngineProviderExtensionAccess Versions
Jet 4.0Microsoft.Jet.OLEDB.4.0.mdb2000, 2002 (XP), 2003
ACE 12Microsoft.ACE.OLEDB.12.0.accdb2007
ACE 14Microsoft.ACE.OLEDB.14.0.accdb2010
ACE 15Microsoft.ACE.OLEDB.15.0.accdb2013
ACE 16Microsoft.ACE.OLEDB.16.0.accdb2016, 2019, 2021, M365

If you're unsure, ACE 16 is the safest default — it's compatible with the current version of Access and is backward-readable by Access 2007 and later. Choose Jet 4.0 only if you need compatibility with Access 2003 or earlier, or with legacy systems that require the .mdb format.

Type Mapping: SQLite → Access

SQLite uses dynamic typing with five storage classes. Access has a richer type system with fixed field types. The default mappings are:

SQLite TypeAccess TypeNotes
INTEGER (AUTOINCREMENT)AutoNumberAuto-incrementing primary key
INTEGER / INTLong Integer32-bit signed integer
SMALLINTInteger16-bit signed integer
TINYINTByte0–255
BIGINTDoubleAccess has no 64-bit integer; Double preserves range (with precision trade-off)
TEXT / VARCHARText(n)Short Text, default 255 characters
CLOBMemoLong Text, unlimited length
REAL / FLOAT / DOUBLEDoubleIEEE 754 double-precision
NUMERIC / DECIMALCurrencyFixed-point, 4 decimal places
BOOLEANYes/NoTrue/False
DATETIMEDate/TimeDate and time combined
BLOBOLE ObjectBinary data (note: CSV import skips binary fields)

The BIGINT → Double mapping deserves special attention. SQLite's BIGINT supports values up to 9.2 × 10¹⁸, while Double can only represent integers exactly up to 2⁵³ (approximately 9 × 10¹⁵). For most real-world data this is fine, but if your BIGINT columns hold values near the 64-bit limit, some precision loss is possible.

Foreign Keys → Access Relationships

SQLite defines foreign keys inline in CREATE TABLE statements. The tool reads these using PRAGMA foreign_key_list and translates them into Access relationships using the ADOX Catalog object. Relationships are created after all tables and data are loaded to avoid constraint violations during import.

# PowerShell — creating an Access relationship via ADOX
$key = New-Object -ComObject ADOX.Key
$key.Name = "FK_Orders_Customers_0"
$key.Type = 2  # adKeyForeign
$key.RelatedTable = "Customers"
$key.Columns.Append("CustomerID")
$key.Columns("CustomerID").RelatedColumn = "CustomerID"
$cat.Tables("Orders").Keys.Append($key)

AUTOINCREMENT → AutoNumber

SQLite's INTEGER PRIMARY KEY AUTOINCREMENT maps naturally to Access's AutoNumber field type. When the tool detects this pattern, it creates the field as AUTOINCREMENT in the Access DDL and skips that column during CSV import — Access populates AutoNumber values automatically.

If you need to preserve the original ID values from SQLite (rather than letting Access assign new ones), you can uncheck the "Convert INTEGER PRIMARY KEY AUTOINCREMENT → AutoNumber" option. The field will be created as a regular Long Integer and the original values will be imported from the CSV.

Limitations and Edge Cases

BLOB / Binary Data

Binary data (BLOB columns) cannot be exported to CSV. The generated CSV files will have empty values for BLOB columns. If you need to migrate binary data, consider a separate script that reads the binary data directly and inserts it via ADO's AppendChunk method.

Access Field Size Limits

Access Short Text fields are limited to 255 characters. If a SQLite TEXT column contains values longer than 255 characters, the tool should map it to Memo (Long Text) instead of Text. The default Text size is configurable in the tool settings.

Concurrent Access

The PowerShell script creates the database and writes all data in a single session. Don't try to open the database in Access while the script is running.

Prerequisites

The generated PowerShell script requires:

Frequently Asked Questions

Can I run this on a Mac or Linux?

The browser-based tool runs on any platform. However, the generated PowerShell script requires Windows because it uses the Jet/ACE database engine (a Windows-only COM component). On Mac or Linux, you could use a Windows VM or run the script on a remote Windows machine.

Do I need Microsoft Access installed?

Not necessarily. For Jet 4.0 (.mdb), the driver is built into Windows. For ACE (.accdb), you need either Access or the free Access Database Engine Redistributable. The Redistributable provides the driver without requiring the full Access application.

What if my SQLite database has views or triggers?

The tool focuses on tables, data, and relationships — the data layer. SQLite views and triggers use different syntax from Access and typically need manual translation. Access queries can be created manually in the Access query designer after migration.

How large a SQLite database can this handle?

The browser tool reads the SQLite file using WebAssembly, which is limited by browser memory. Databases up to a few hundred MB work well. For very large databases (1 GB+), the CSV export itself may be large. Access has a 2 GB file-size limit, so the final database must fit within that constraint.

🚀 Convert your SQLite database to Access — free, browser-based, pick your version.

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Related Tools & Guides

Further reading: Microsoft — T-SQL Reference

BC
Bill Crawford
Founder, Data Conversion Center

Bill Crawford is a data systems developer and technical founder with over 30 years of professional experience in accounting, finance, and business operations.

He holds a Bachelor's degree in Accounting and has spent more than three decades working within financial and operational environments. Over the past 10 years, he has been heavily involved in the development, implementation, and refinement of financial and enterprise data systems for both Fortune 500 companies and smaller organizations.

His work bridges finance and technology — combining deep domain knowledge in structured reporting and accounting workflows with hands-on SQL development and database architecture experience.

Bill founded DataConversionCenter.com to build practical, browser-based tools that simplify complex data challenges, including:

Rather than focusing on theoretical examples, his tools and articles are informed by real-world challenges encountered in enterprise reporting systems, financial databases, and operational data environments.

Professional Background
  • Bachelor's Degree in Accounting
  • 30+ years in accounting and finance
  • 10+ years deeply involved in financial and enterprise systems development
  • Experience supporting Fortune 500 and small-to-mid-sized organizations
  • Hands-on SQL development across relational database platforms

Bill's mission is to reduce friction in data workflows — particularly for professionals working with structured financial, operational, and reporting data.