Data Structuring Tool

A data structuring tool converts unstructured or semi-structured text into well-organized data formats like JSON, CSV, YAML, XML, or SQL. Use it when you have text information that needs to be transformed into a format that databases, APIs, or other applications can process. Common scenarios include parsing configuration files, converting notes to database records, structuring log files, or preparing data for API consumption.

The tool offers five parsing modes: (1) Auto-detect - automatically identifies the structure of your text; (2) Line-by-line - treats each line as a separate data entry; (3) Key-Value Pairs - parses text with "key: value" or "key = value" format; (4) Table - processes delimited data like CSV with customizable separators; (5) List - handles bulleted or numbered lists, extracting each item as a data entry.

Auto-detect mode analyzes your input text for common patterns: if every line contains ":" or "=" characters, it uses key-value parsing; if the first line contains your specified delimiter and there are multiple lines, it uses table parsing; if lines start with bullets (-, *, •) or numbers, it uses list parsing; otherwise, it defaults to line-by-line parsing. This intelligent detection works well for most common text formats.

The tool supports five popular structured data formats: (1) JSON - ideal for APIs and web applications; (2) CSV - perfect for spreadsheets and data analysis; (3) YAML - great for configuration files; (4) XML - useful for legacy systems and data exchange; (5) SQL - generates INSERT statements for direct database import. Each format is properly formatted and ready to use in its respective context.

Yes! When using table parsing mode, you can specify a custom delimiter in the delimiter field. Common delimiters include comma (,), semicolon (;), tab (\t), pipe (|), or any other character or string. The tool will use this delimiter to split your data into columns. The first row is treated as headers, and subsequent rows become data entries.

Key-value pair format expects each line to have a key followed by a colon (:) or equals sign (=) and then the value. For example: "Name: John Doe" or "Age = 25". The tool automatically converts spaces in keys to underscores and makes them lowercase for consistency. This format is ideal for parsing configuration files, form data, or structured notes.

For CSV output, you can toggle whether to include headers (column names) as the first row using the "Include Headers" checkbox. The tool automatically handles values containing commas by wrapping them in quotes, ensuring proper CSV formatting. This makes the output compatible with Excel, Google Sheets, and other spreadsheet applications.

The SQL output generates a complete database script including: (1) A CREATE TABLE statement with all columns defined as TEXT type; (2) Multiple INSERT statements for each data row; (3) Proper SQL escaping for single quotes in values. The generated SQL is ready to execute in most SQL databases like MySQL, PostgreSQL, or SQLite.

Yes! The list parsing mode automatically handles various list formats including dash bullets (-), asterisk bullets (*), bullet points (•), and numbered lists (1., 2., 3.). The tool strips these prefixes and converts each list item into a structured data entry with an "item" field, making it easy to work with list data programmatically.

While there's no hard character limit, very large texts (over 100,000 characters) may take longer to process as all parsing happens in your browser. For optimal performance, it's recommended to process texts under 50,000 characters at a time. If you have larger datasets, consider splitting them into smaller chunks.

The tool includes error handling that displays helpful messages when it encounters issues. Common errors include empty input, insufficient rows for table mode (needs at least 2 rows), or parsing failures. If auto-detect fails to identify a structure, try selecting a specific parsing mode manually. The error messages will guide you toward fixing the input format.

Absolutely! Each output includes convenient Copy and Download buttons. The Copy button places the structured data on your clipboard for easy pasting. The Download button saves it as a file with the appropriate extension (.json, .csv, .yml, .xml, or .sql) and includes "toolszone.net" in the filename for easy identification.