👑 Delimiters Pro Exclusive 100% Private In-Browser • Zero Cloud Retention

CSV to SQL Converter & Table Generator

Transform CSV, TSV, and spreadsheet datasets into production-grade SQL CREATE TABLE schemas and high-speed batch INSERT queries with automatic type detection across MySQL, PostgreSQL, SQLite, and SQL Server.

Presets:

Drop your CSV or TSV file here, or browse

Supports CSV, TSV, Tab-delimited text • Automatic delimiter & data type detection • 100% private in-browser execution

100% Client-Side • File never leaves your machine
Need sample data?
Step 2: Database Dialect & Table Settings
Step 3: Column Type Inspector (0 Columns Detected) 0 Rows
Column Name SQL Data Type Nullable Primary Key Sample Value (Row 1)
Upload a CSV file or click a sample preset above to inspect detected columns.
Lines: 0
Chars: 0
100% In-Memory Parsing • Ready for MySQL, PostgreSQL, SQLite & SQL Server

Why Convert CSV to SQL Online?

Importing raw CSV or Excel spreadsheets into relational databases frequently causes errors when column headers contain spaces, special characters, or conflicting types. Crafting the initial CREATE TABLE schema by hand and formatting thousands of INSERT INTO values is tedious and prone to syntax bugs.

Our studio automates the entire migration. It infers optimal column types, escapes strings, respects dialect quirks, and packages your data into clean, runnable SQL batch scripts ready for immediate execution in MySQL Workbench, pgAdmin, SQLite Studio, or DBeaver.

100% Private Client-Side Conversion

Cloud converters like TinyWow, ConvertCSV, or Zamzar require uploading your confidential business files, customer emails, financial ledgers, or product pricing to third-party web servers where records can be stored, scraped, or leaked.

Delimiters.co runs 100% inside your browser using modern Web APIs. No data packets ever leave your local computer. It is safe for HIPAA, GDPR, SOC 2, and proprietary company datasets.

Why Delimiters.co CSV to SQL Beats Cloud Upload Tools

See how our in-browser schema generator compares against traditional cloud-based file conversion websites:

Feature / Capability ⚡ Delimiters.co Pro (In-Browser) ☁️ Cloud File Converters
Privacy & Security 100% Local (Zero bytes leave your computer) Uploaded & stored on third-party servers
Processing Speed Instant (Zero network latency or queue wait) Slow (Upload time + server queue wait)
File Size Limits Unlimited (Processed via local browser RAM) Strict 25 MB to 50 MB limits
Type Inference Smart multi-type detection (INT, DECIMAL, DATE, BOOLEAN) Basic string/text types only
Dialect Support MySQL, PostgreSQL, SQLite, SQL Server & Oracle Generic ANSI SQL only
Batch INSERT Chunks Configurable (50, 100, 500 rows, or single statement) Fixed single rows only

Supported SQL Dialects & Data Type Mappings

MySQL / MariaDB

Backtick identifiers, AUTO_INCREMENT primary keys, and InnoDB engine declaration.

  • • Integer: INT / BIGINT
  • • Decimal: DECIMAL(12, 2)
  • • Boolean: TINYINT(1)
  • • Datetime: DATETIME
  • • Text: VARCHAR(255) / TEXT
PostgreSQL

Double quote identifiers, SERIAL pseudo-types, and true native booleans.

  • • Integer: INTEGER / BIGINT
  • • Decimal: NUMERIC(12, 2)
  • • Boolean: BOOLEAN (TRUE/FALSE)
  • • Datetime: TIMESTAMP WITH TIME ZONE
  • • Text: VARCHAR(255) / TEXT
SQLite

Flexible type affinity storage with autoincrement primary keys.

  • • Integer: INTEGER PRIMARY KEY
  • • Decimal: REAL
  • • Boolean: INTEGER (0 / 1)
  • • Datetime: TEXT (ISO 8601)
  • • Text: TEXT
SQL Server (T-SQL)

Square bracket identifiers and Unicode NVARCHAR string encoding.

  • • Integer: INT IDENTITY(1,1)
  • • Decimal: DECIMAL(12, 2)
  • • Boolean: BIT (0 / 1)
  • • Datetime: DATETIME2
  • • Text: NVARCHAR(255) / NVARCHAR(MAX)

Frequently Asked Questions

Are my database passwords, customer details, or CSV files safe?

Yes, 100%. Delimiters.co never transmits your CSV files, records, or table schemas over the network. All CSV parsing, column identification, and SQL query creation occur entirely within your browser memory.

How does the tool handle quotes and commas inside text cells?

The built-in RFC 4180-compliant CSV parser seamlessly supports quoted cells containing commas, escaped quotation marks (""), semicolons, and multi-line strings. Inside the generated SQL statements, single quotes are properly escaped ('') to prevent SQL injection and syntax errors.

What is the benefit of batch chunking INSERT statements?

Databases like MySQL enforce a max_allowed_packet limit, and SQLite caps maximum bound parameters per query. Splitting thousands of rows into chunks of 100 or 500 rows avoids packet overflows while speeding up imports by up to 50x compared to executing individual row-by-row INSERT statements.

Can I convert Tab-Separated Values (TSV) or Semicolon files?

Yes. The parser auto-detects tabs (\t), semicolons (;), commas (,), and pipes (|). You can also explicitly lock your desired delimiter via the Delimiter dropdown.