SQL Script Shaper
A modern web application that converts CSV and Excel files into ready-to-use SQL INSERT statements with customizable options
Project Overview
SQL Script Shaper is a focused developer utility that converts CSV and Excel spreadsheets into production-ready SQL scripts with a rich, interactive preview experience. Users can drag-and-drop files, inspect parsed rows, correct values inline, and configure SQL generation options such as target dialect, quoting preferences, batch sizes, and whether to include DROP/CREATE statements. The engine includes intelligent data type inference with heuristics for dates, numerics, booleans and nullable fields, and provides warnings for suspicious rows. Real-time SQL previews update as users edit data, and export bundles include both SQL and a report of inferred column types for reproducibility. The UI is intentionally minimalist and fast—built with React, TypeScript and shadcn components—and includes helpful UX touches like copy-to-clipboard, download-as-file, and persistent presets. Error handling covers malformed CSVs, large file chunking, and Excel workbook sheet selection so the tool is robust for real-world datasets.
Key Features
CSV/XLSX parsing and preview
Reliable parsing with sheet selection, chunked processing for large files, and inline data correction.
Dialect-aware SQL generation
Customize SQL output for different RDBMS dialects and choose quoting/batch behaviors.
Type inference & reports
Automatic column type detection with an exportable report to aid DB migrations.
Live editing and immediate export
Edit cell values directly in the preview and see SQL update instantly, then download or copy script.
Instant conversion
Quick conversion from spreadsheets to SQL with zero configuration required.
Smart data analysis
Intelligent type inference and reporting for accurate database schema creation.
Enterprise file handling
Supports large files with chunked parsing to handle enterprise-scale datasets.
Developer-focused UX
Minimal, productivity-focused UI designed for developer efficiency.
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