Browse with context
Search, filter, sort, paginate, choose visible columns, and switch between grid and JSON views.
Lattice brings browsing, SQL, schema inspection, import, export, and backups into one calm workspace for the SQLite files already on your computer.
Work directly with real databases while retaining clear safeguards around every change.
Search, filter, sort, paginate, choose visible columns, and switch between grid and JSON views.
Run SQL, inspect query plans, keep drafts, save useful statements, and revisit execution history.
Add, update, and remove rows with read-only opening and confirmation for destructive statements.
Validate CSV mappings before import, then export filtered tables or query results as CSV or JSON.
Inspect columns, indexes, foreign keys, triggers, and the exact SQL behind every table.
Create a consistent copy of an open database before making larger changes.
No projects to configure and no service to sign into.
Choose a local SQLite file, drop it onto the welcome screen, or start a new blank database.
Browse tables visually or write SQL when you need a more precise answer.
Update records, import validated CSV data, export useful results, and create backups.
Need more help? Email support@iamdev.me.
Lattice opens SQLite databases commonly saved as .sqlite, .sqlite3, or .db files.
No. Lattice works with files on your computer and does not upload database contents to a cloud service.
No account, sign-in, or subscription is required to use the desktop application.
Yes. Open it in read-only mode to browse data, inspect structure, and run read-only queries.
Yes. Current SQL results can be saved as CSV or JSON. Filtered tables can also be exported in either format.
Lattice validates mappings and required columns first, then runs the complete import as one transaction.
Yes. You can create a consistent SQLite backup while a database is open.
The interface supports English, Simplified and Traditional Chinese, Japanese, Korean, French, German, Spanish, and Portuguese.
Open a local database and stay close to the data that matters.