Analyze CSV structure, convert to SQL/Django, and inspect data. 100% Client-side privacy.
tools.csv-processor.file_limits
The CSV Processor is an online tool that allows you to analyze CSV files directly in your browser, without uploading data to the server. Upload the file, get an immediate complete analysis of columns, data types, and structure, with preview, statistics, and automatic generation of SQL schema or Django model.
This tool is designed to ensure maximum privacy and data control. All processing happens exclusively in your browser: the CSV file is never sent to the server, never saved to a database, and leaves no trace. This makes it ideal for working with sensitive datasets, corporate data, or confidential information.
Once the file is uploaded, the system automatically detects the delimiter (comma, semicolon, or tab), correctly interprets UTF-8 encoding, and identifies the presence of headers. A preview of the first few rows is generated along with a detailed analysis of each column: estimated data type (string, integer, decimal number, boolean, date), percentage of missing values, number of unique values, and maximum length of text content.
The tool is optimized to handle large files, up to tens of thousands of rows, keeping the interface fluid and responsive. Everything happens in real-time, without installations and without technical configurations.
Beyond structural analysis, the CSV Processor allows you to transform data into ready-to-use code. Based on the detected types, a MySQL-compatible SQL schema and a Django model consistent with the file columns are automatically generated.
The data type mapping is managed intelligently: strings are converted to CharField or TextField, integers to IntegerField, decimals to FloatField, booleans to BooleanField, and dates to DateField. For SQL, a complete CREATE TABLE command is created, ready to be integrated into a database.
You can also export a JSON schema of the columns or download the generated definitions, simplifying integration into your software projects.