How to Open & Browse a SQLite Database: Step-by-Step Tutorial
🗄️ Open the SQLite Viewer and follow along with this tutorial.
Open Tool →Steps
This tutorial walks you through opening and exploring a SQLite database using the free FinancialDataTools.com SQLite Viewer. The tool reads your .db or .sqlite file entirely inside your browser — nothing is sent to any server — making it safe for sensitive financial data.
Try the SQLite Viewer — runs entirely in your browser and never uploads your files.
Open the SQLite Viewer →Step 1: Locate Your SQLite File
Find the .db or .sqlite file you want to inspect. SQLite is one of the most common database formats for financial applications, trading platforms, budgeting apps, and local data stores. Common locations include:
- Downloaded database exports from financial software
- Local databases from accounting or bookkeeping apps
- Historical market data stored in SQLite format
- Any file ending in
.db,.sqlite,.sqlite3, or.db3
Privacy note: The SQLite Viewer never uploads your file. It is read entirely in your browser's memory using WebAssembly. Your financial data stays on your device.
Step 2: Open the SQLite Viewer
Navigate to financialdatatools.com/viewers/sqlite-viewer/ in any modern browser. The tool works on Chrome, Firefox, Edge, and Safari on any operating system — Windows, macOS, Linux, or ChromeOS. No installation is required.
When the page loads, you will see a full-screen application interface with a toolbar across the top and an empty state panel in the center prompting you to open a file.
Step 3: Load Your Database File
There are two ways to open your database:
- Click the green "Open File" button in the toolbar and browse to your file in the file picker dialog.
- Drag and drop your
.dbor.sqlitefile directly onto the viewer window.
The tool will display a loading indicator while it reads the file. For most databases this completes in under a second. Large databases with millions of rows may take a few seconds as the WebAssembly engine parses the file.
Once loaded, the stats bar across the top of the data area will show the total number of rows, visible rows, and column count. The tab bar just below the toolbar will populate with a tab for each table in your database.
Step 4: Browse Your Tables
Click any tab to switch between tables. The viewer displays data in a spreadsheet-style grid. Each column header shows:
- The column name — click to sort ascending or descending
- The data type badge (TEXT, INTEGER, REAL, BLOB, NULL)
- A filter button to restrict visible rows by that column's values
For large tables, the viewer automatically paginates at 500 rows per page. Use the page navigation bar at the bottom to move between pages. The row number column on the left reflects absolute row positions across all pages.
Step 5: Search and Filter Rows
Use the search box in the toolbar to quickly find values. The search applies across all visible columns in the current table — results update as you type.
For more targeted filtering, click the filter icon in any column header. A dropdown appears where you can type a filter expression. Multiple column filters stack together (AND logic), and active filters are shown in a pink badge in the stats bar. Click the badge to clear all filters at once.
Step 6: Sort and Filter Your Data
Use the viewer controls to explore your data without writing SQL.
- Click a column header to sort rows.
- Use available search and filter controls to narrow the results.
- Review the data directly in the main grid.
Step 7: Inspect Your Schema
Click the Schema button in the toolbar to open the schema inspector. This panel lists every table in your database along with all column definitions, data types, constraints, and index information. This is particularly useful when working with unfamiliar financial databases where you need to understand the structure before querying.
Step 8: Export Your Data
The viewer supports three export formats accessible from the toolbar's Export button:
- CSV — flat comma-separated file, ideal for importing into Excel, Google Sheets, or other tools
- JSON — structured data format, useful for developers or further data processing
- Excel (.xlsx) — a workbook with one sheet per selected table, preserving column types where possible
You can export the currently active table or a specific selection of tables.
Tip: Use the multi-table Excel export to quickly turn a SQLite financial database into a workbook you can share with colleagues who don't have database tools.