turn CSV and JSON files into one SQLite database

Drop several files and export a single .sqlite: every file becomes a table, matching key columns are discovered and written as real FOREIGN KEY constraints, and your transform chain ships inside as a view named result.

how to use it

Drop your files - several at once works, and each becomes its own table.
Keys between tables are discovered automatically. Open the ⌧ relationship map to see each one measured before you rely on it.
Spot-check with a join or a raw SELECT if you want.
Choose export database - a clean .sqlite with tables, types, and FOREIGN KEYs.

Multi-file drop is the multi-table intent: two CSVs in, one relational database out.
Key discovery finds id-shaped columns whose values line up across tables; a map shows every edge.
Existing .sqlite files import whole - tables, declared types, and foreign keys preserved.
The exported file opens in sqlite3, DB Browser, Python, anything that speaks SQLite.
Every join measured first: the relationship map counts how many values actually match on each candidate join - and whether the far side is unique - so you see "99% match" or "multiplies rows 3x" before you build it, not after your totals look wrong.
See the finished shape first: load the sample database in one click and read the relationship map - which joins are clean, which drop rows, which multiply them.

"CSV" is a loose term here, and paste means paste anything: TSV, semicolon and pipe delimited files, ranges copied from Excel or Google Sheets, SQL client result grids, even tables copied off a web page (they arrive tab-separated) - the delimiter is detected automatically. One delimiter is chosen for the whole file; if a column turns out to carry its own separator inside it, click that column's header and choose split at delimiter to break it into real columns.

every tool in the box

data workbench - profile, clean, transform, and export CSV, JSON, and SQLite - the full suite
JSON flattener - nested JSON or NDJSON to flat columns, arrays and objects unrolled
CSV PII scrubber - find emails, phones, SSNs, and card numbers - mask, hash, or drop them
JSON to CSV - convert JSON or NDJSON to CSV with full column control
CSV to JSON - convert CSV to JSON or NDJSON, streamed at any size
Excel to CSV - read .xlsx workbooks and export CSV, sheets and all
CSV to Excel - write a real .xlsx where leading zeros and dates survive
SQL on CSV - real SQL over your files: joins, GROUP BY, a read-only console
CSV to SQLite - drop several files, get one .sqlite database with discovered foreign keys (this page)
CSV to SQL - CREATE TABLE and INSERT statements for Postgres, MySQL, SQL Server, SQLite
JSON to TypeScript - TypeScript interfaces and JSON Schema derived from your real data
large CSV viewer - open files past Excel's 1,048,576-row limit without loading them into RAM
regex painter - highlight example matches, get a verified regular expression back
log parser - read log files as events: layouts detected, stack traces kept whole, timestamps normalized, and a volume-over-time strip drawn in SQL across every row
visualize - chart any table you have open - bar, line, area or point - drag across it to filter, and export svg, png, or the vega-lite spec that drew it
theme builder - design, test, and export custom color themes with live previews, palette derivation, and contrast diagnostics

Like every unfckr tool, this runs 100% in your browser: no upload, no servers, no signup, no analytics. A Content-Security-Policy header blocks every programmatic network channel, so not even malicious code could phone home - and you can watch it happen: the privacy page runs six live escape attempts and shows the browser refusing each one.

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