Analyze CSV structure, convert to SQL/Django, and inspect data. 100% Client-side privacy.
Max 10MB • .csv only
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.
CSV (Comma-Separated Values) is a plain-text format used to store tabular data. It is the universal exchange format for spreadsheets, databases, analytics tools, and virtually every data platform.
Processing a CSV online means you can inspect its structure, detect column types, and generate database schemas without opening Excel or writing a single line of code.
Drag and drop your .csv or .txt file onto the upload zone, or click to browse. Files are processed entirely in your browser.
Switch between the Preview, Columns, and Code tabs to inspect your data, analyze column types, and generate schemas.
Download the SQL CREATE TABLE script, the Django model class, or the column JSON directly from the browser.
id,name,email,created_at 1,Alice,alice@example.com,2024-01-10 2,Bob,bob@example.com,2024-02-15
CREATE TABLE export ( id INTEGER, name VARCHAR(255), email VARCHAR(255), created_at DATE );
The tool scans every column and infers its data type: integer, float, date, email, boolean, or string. It also reports null count, unique values, and maximum string length.
This column profile helps you understand data quality before importing into a database or sharing with a data team.
Based on the column analysis, the tool generates a ready-to-run SQL CREATE TABLE statement with appropriate types (VARCHAR, INTEGER, DATE, etc.).
Supports standard SQL output compatible with MySQL, PostgreSQL, MariaDB, and SQLite.
Working with Python? The CSV Processor also generates a complete Django ORM model class from your column structure — field types, blank/null settings, and all.
Just copy and paste the model into your Django app and run makemigrations.
The tool auto-detects the delimiter in your file. Support includes comma (,), semicolon (;), pipe (|), and tab (\t) separators.
Accepts .csv and .txt extensions. UTF-8 encoding is recommended for full international character support.
CSV files are parsed entirely using JavaScript in the browser. No file is uploaded to any server. This makes it safe to process confidential business data or personal records for analysis.
A common scenario: a client sends a .csv export from their CRM. Drop it here, review column types, spot nulls in critical fields, then generate a SQL schema for the import script. Minutes, not hours.
Drop your .csv file above and instantly explore its structure. Free, private, and zero-install.
Process CSV Now