CSV Data Extractor & Analyzer

Extract, clean, transform, analyze, and export CSV data using natural language commands on large files with auto-detection of delimiter and formats.

csv-data-extractor

Transform, clean, and analyze CSV data using natural language commands. Upload a CSV file and describe what you want to do with it.

Usage

Analyze this CSV and summarize [file]
Extract [specific data] from [file]
Filter rows where [condition] and export [file]
Join [file1] and [file2] on [column]
Convert this data to [format: JSON/Excel/HTML table]

What It Does

• Data profiling — row count, column types, null values, unique counts, value distributions
• Filtering — select rows matching conditions (e.g., "where status = 'active' and amount > 1000")
• Column operations — rename, reorder, drop, split, merge, type cast
• Aggregations — GROUP BY with SUM, AVG, COUNT, MIN, MAX, pivot tables
• Joins — LEFT/RIGHT/INNER join on specified columns
• Transformations — date parsing, string operations, currency formatting, unit conversions
• Export — output to CSV, JSON, Excel (.xlsx), HTML table, or Markdown

Input

A CSV file path or paste CSV content directly in the conversation.

Examples

• "Show me the top 10 customers by revenue from this sales data"
• "Filter out all rows where email is blank, then export only name/email/phone"
• "Add a column called 'full_name' that combines first_name and last_name"
• "Group by department and show average salary per department"
• "Convert this data to JSON with nested objects by category"

Notes

• Handles large files (100k+ rows) by processing in chunks
• Auto-detects delimiter (comma, tab, semicolon, pipe)
• Detects date formats automatically
• Preserves original file; always exports to new file
• Encodings supported: UTF-8, Latin-1, Windows-1252