Add your SQL file
Drop one or more .sql files onto the converter above, or browse for them. They load into browser memory only — nothing is uploaded, so there is no size-based pricing and no server queue.
Converting a .sql font to .sqlite repackages the same glyphs and metrics for a different delivery target. Free, private, and validated — the file never leaves your browser.
Batch files can each use a different output. Nothing uploads for local conversions.
Working inputs include camera RAW, browser-local audio/video, PDF, CBZ/CBR comics, office documents, ebooks, markup, 3D models, structured text, images, and archives.Converting a .sql font to .sqlite repackages the same glyphs and metrics for a different delivery target. A .sql file is a script of SQL statements — typically CREATE TABLE definitions followed by INSERT statements, which is what a database dump looks like. It is a program to be executed, not a data file to be read, and that distinction governs everything about handling it safely.
A .sqlite file is a complete relational database in one file: tables, indexes, views, triggers and the schema that describes them, all readable by a library rather than a server. It is almost certainly the most widely deployed database format in existence, and it is a documented, stable file format rather than an implementation detail. For this route the practical draw is self-contained, server-free and extremely widely supported and a documented, deliberately stable file format with long-term-preservation backing — balanced against type affinity means a column's contents may not match its declared type, which is worth knowing before you commit a large batch.
The practical trigger for this conversion is usually a mismatch: with .sql, dialect differences make dumps far less portable than they look. Switching to .sqlite buys you self-contained, server-free and extremely widely supported, which is why it is the better fit for exporting the tables of an application database for analysis. Because the conversion runs locally, trying it costs nothing but a few seconds of compute on your own machine.
| Aspect | SQL script (.sql) | SQLite database (.sqlite) |
|---|---|---|
| Format type | Text-based — characters and structure, so there is no visual quality loss | Container — quality depends on the codecs and settings inside |
| How it stores data | statements are terminated by semicolons, but dialects differ on delimiters inside routines and triggers | the file begins with the 16-byte string 'SQLite format 3' followed by a null byte |
| Strongest at | backing up and restoring a database | exporting the tables of an application database for analysis |
| Weak spot | dialect differences make dumps far less portable than they look | type affinity means a column's contents may not match its declared type |
| Metadata | table names, column names and row values are preserved. Indexes, constraints, triggers, views and engine-specific clauses are not carried into tabular or spreadsheet targets | table and column names and the declared schema are read and carried into worksheet and JSON structure; indexes, triggers and views are described in the conversion summary rather than exported as data |
Drop one or more .sql files onto the converter above, or browse for them. They load into browser memory only — nothing is uploaded, so there is no size-based pricing and no server queue.
Select .sqlite in the output menu next to each file. The menu only offers targets this engine can genuinely produce, so if SQLITE is selectable, the route is real and validated.
Press Convert. The font tables are parsed and rewritten locally with fonteditor-core; glyph outlines, hinting, and kerning survive the trip.
Each result is signature-checked before the download unlocks, so a failed encode can never masquerade as a valid SQLITE file. Outputs keep the original filename with the .sqlite extension.
There is no visual quality to lose — sql is text-oriented and sqlite is container-oriented, so the question is structural fidelity. Text, ordering, and basic structure are preserved; complex layout, embedded objects, and styling beyond the target's model are simplified.
Yes — the .sql file is processed inside your browser tab and never uploaded. The font tables are parsed and rewritten locally with fonteditor-core; glyph outlines, hinting, and kerning survive the trip. Close the tab and the file is gone from memory.
SQLite ships with Python, PHP, Ruby, Android, iOS, macOS and most Linux distributions, and browser builds run it in WebAssembly. Novus Convert opens .sqlite files locally in the browser and exports to JSON, XLSX or a ZIP of per-table files; nothing is uploaded and no database is persisted after the tab closes. Attached WAL sidecars cannot be supplied through a single-file conversion, so a database is read as it stands on disk.
It depends on the content: the file begins with the 16-byte string 'SQLite format 3' followed by a null byte. Convert one representative file first and compare before batch-processing a large set.
In .sql, table names, column names and row values are preserved. Indexes, constraints, triggers, views and engine-specific clauses are not carried into tabular or spreadsheet targets. Re-encoding through the browser pipeline does not carry embedded metadata into the output, which doubles as a privacy scrub — check the exported file if you specifically need tags preserved.