Verified local conversion

SQL to JSON

Converting a .sql font to .json repackages the same glyphs and metrics for a different delivery target. Free, private, and validated — the file never leaves your browser.

Private for supported formats — processed in your browser

Convert supported files

Runs on your device

Drop SQL files here

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.

About converting SQL script to JSON data

Converting a .sql font to .json 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 .json file holds JavaScript Object Notation: nested objects, arrays, strings, numbers, booleans, and null written in a strict text syntax. It is the default data language of the web — most APIs speak nothing else. For this route the practical draw is parsers ship in the standard library of essentially every language and readable by humans and machines alike — balanced against no comments — a perpetual annoyance for configuration files, which is worth knowing before you commit a large batch.

Why convert SQL to JSON?

The practical trigger for this conversion is usually a mismatch: with .sql, dialect differences make dumps far less portable than they look. Switching to .json buys you parsers ship in the standard library of essentially every language, which is why it is the better fit for rEST and HTTP API request and response payloads. Because the conversion runs locally, trying it costs nothing but a few seconds of compute on your own machine.

SQL vs JSON at a glance

AspectSQL script (.sql)JSON data (.json)
Format typeText-based — characters and structure, so there is no visual quality lossText-based — characters and structure, so there is no visual quality loss
How it stores datastatements are terminated by semicolons, but dialects differ on delimiters inside routines and triggersexactly six value types; no dates, no comments, no trailing commas — the strictness is deliberate
Strongest atbacking up and restoring a databaserEST and HTTP API request and response payloads
Weak spotdialect differences make dumps far less portable than they lookno comments — a perpetual annoyance for configuration files
01

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.

02

Pick JSON as the output

Select .json in the output menu next to each file. The menu only offers targets this engine can genuinely produce, so if JSON is selectable, the route is real and validated.

03

Convert on your device

Press Convert. The font tables are parsed and rewritten locally with fonteditor-core; glyph outlines, hinting, and kerning survive the trip.

04

Verify and download

Each result is signature-checked before the download unlocks, so a failed encode can never masquerade as a valid JSON file. Outputs keep the original filename with the .json extension.

SQL to JSON questions, answered

Will converting SQL to JSON lose quality?

There is no visual quality to lose — sql is text-oriented and json is text-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.

Is it private to convert SQL files here?

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.

Where will the JSON file work?

Browsers parse it natively through JSON.parse, every mainstream language bundles support, and most editors validate and highlight it out of the box. Viewing a raw .json file is possible in any text editor or browser tab.

Will the JSON file be bigger or smaller than my SQL?

It depends on the content: exactly six value types; no dates, no comments, no trailing commas — the strictness is deliberate. Convert one representative file first and compare before batch-processing a large set.

What happens to the metadata in my SQL file?

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.