Excel2Script

Module 1Data Extraction & Formatting
Module 1

Data Extraction & Formatting

Extract and transform data from Excel files, CSV, or text into SQL, Python, JSON, JavaScript, and other script formats. The first step in your Excel-to-code workflow.

๐Ÿ”„ Data Extraction๐Ÿงน Data Cleaning (Coming Soon)โš™๏ธ Data Transformation (Coming Soon)

Why Choose Excel2Script?

Powerful features designed for developers, analysts, and anyone working with data conversion

๐Ÿš€ Lightning Fast Processing

Process large files instantly with client-side conversion. No server delays, no upload time, no waiting.

  • Handle files up to 100MB+ instantly
  • Real-time conversion as you type or select
  • Works offline - no internet connection required

๐Ÿ”’ 100% Private & Secure

Your sensitive data stays on your device. Unlike online converters that upload your files to servers, we process everything locally in your browser.

  • No data uploaded to servers or stored online
  • Files processed entirely with client-side JavaScript
  • Perfect for confidential business data and PII
  • No tracking or analytics - complete privacy

๐Ÿ“‹ Multiple Output Formats

Convert to any format you need for your development workflow. From database queries to programming arrays.

SQL IN Clause - Database queries
Python List - Python development
JavaScript Array - Web development
JSON Array - API responses
Markdown List - Documentation
CSV/Plain Text - Simple formats

โœจ Smart Data Cleaning

Automatically clean your data with intelligent preprocessing options. No more manual cleanup in spreadsheets.

  • Remove empty values and blank cells
  • Eliminate duplicate entries automatically
  • Trim whitespace and normalize formatting

๐Ÿ“ Flexible Input Methods

Work with data however you have it. Upload files, paste text, or import from various sources.

  • Excel files (.xlsx, .xls) - Full spreadsheet support
  • CSV files - Industry standard format
  • Direct text input - Paste from anywhere
Module 1 Examples

Data Extraction & Formatting Examples

See how the Data Extraction module transforms your Excel/CSV data into various script formats. These interactive examples show real input data and the formatted output you'll get instantly.

1

Product Catalog

Common use case for Excel/CSV files

Product Catalog

Convert product names from Excel/CSV to various script formats

IN

Input Data

spreadsheet.xlsx
Product Name
Widget A
Widget B
Gadget C
Tool Pro
Device X

Excel spreadsheet with product names

OUT

Output Result

SQL IN Clause
('Widget A','Widget B','Gadget C','Tool Pro','Device X')
2

Email List

Common use case for text input

Email List

Transform email addresses for scripts and databases

IN

Input Data

Text Input
john.doe@company.com
jane.smith@company.com
bob.johnson@company.com
alice.brown@company.com

Plain text with one email per line

OUT

Output Result

JavaScript Array
["john.doe@company.com","jane.smith@company.com","bob.johnson@company.com","alice.brown@company.com"]
3

Database IDs

Common use case for CSV data

Database IDs

Extract and format database IDs for queries

IN

Input Data

data.csv
ID,Name
USR001,John Doe
USR002,Jane Smith
USR003,Bob Johnson
USR004,Alice Brown
USR005,Charlie Wilson

CSV file with user IDs and names

OUT

Output Result

SQL IN Clause
('USR001','USR002','USR003','USR004','USR005')

Ready to Convert Your Data?

Upload your Excel file, CSV, or paste text data above to get started. Your data is processed locally in your browser for maximum privacy and speed.

Upload File

Drag and drop your file here, or

Supports Excel (.xlsx, .xls) and CSV files

Paste Data

Output Format

Single-quoted items for SQL IN clauses

('item1','item2','item3')

Python list format

['item1','item2','item3']

JSON array format

["item1","item2","item3"]

JavaScript array format

["item1","item2","item3"]

Simple comma-separated values

item1,item2,item3

One item per line

item1 item2 item3

Markdown unordered list

- item1 - item2 - item3

Selected Format Details

Single-quoted items for SQL IN clauses

Example output:('item1','item2','item3')

Output Result

0 items converted

No output yet

Upload data and select a format to see results