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Data Tools

CSV processors, Excel converters, database tools, and data transformation utilities

Transform, clean, and analyze data with our collection of data processing tools. Convert between CSV, JSON, XML, and Excel formats, clean messy datasets, transform data structures, and prepare data for analysis or import. Perfect for data analysts, developers, and anyone working with structured data. All processing happens locally for maximum data privacy.

23 tools available

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CSV to XML Converter

Convert CSV to XML - Transform comma-separated values to XML format with customizable elements and pretty printing

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XML to CSV Converter

Convert XML to CSV - Transform XML documents to comma-separated values with automatic field extraction

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CSV to Excel Converter

Convert CSV to Excel - Transform comma-separated values to Excel spreadsheet with auto-width columns

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JSON Flattener

Flatten nested JSON objects into flat key-value pairs. Convert complex JSON to simple format and back.

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CSV to HTML Table

Convert CSV data to HTML table format with customizable styling. Generate clean, semantic table markup instantly.

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Excel to CSV Converter

Convert Excel to CSV - Transform Excel spreadsheets (.xlsx, .xls) to comma-separated values with sheet selection

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CSV to SQL INSERT

Generate SQL INSERT statements from CSV data. Convert spreadsheet data to database-ready SQL queries instantly.

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CSV Column Extractor

Extract specific columns from CSV data. Select which columns to keep and remove the rest instantly.

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CSV Row Filter

Filter CSV rows based on column values and conditions. Create focused datasets by filtering data instantly.

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CSV Merger

Merge multiple CSV files into a single unified dataset. Combine CSVs with identical headers instantly.

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CSV Splitter

Split large CSV files into smaller files by number of rows. Process large datasets in manageable chunks instantly.

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JSON Diff Tool

Compare two JSON objects and highlight differences. Perfect for debugging API changes and data transformations.

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CSV Sorter

Sort CSV by columns - Order CSV rows by one or more columns in ascending or descending order with multi-level sorting support

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CSV Deduplicator

Remove duplicate rows from CSV files - Deduplicate CSV data by all columns or specific key columns, keeping first or last occurrence

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CSV Column Renamer

Rename CSV columns - Change CSV column headers and standardize naming conventions with camelCase, snake_case, or Title Case

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CSV Data Type Converter

Convert data types in CSV - Transform CSV column values to numbers, booleans, dates with automatic type detection and cleaning

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CSV Null Value Handler

Handle null and empty values in CSV - Replace, remove, or keep missing data with flexible null handling strategies

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CSV Format Validator

Validate CSV format - Check CSV files for errors, inconsistent columns, empty values, and formatting issues

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TSV to CSV Converter

Convert TSV to CSV - Transform tab-separated values to comma-separated values with automatic quoting

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CSV to TSV Converter

Convert CSV to TSV - Transform comma-separated values to tab-separated values with automatic quote removal

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JSON to Excel Converter

Convert JSON to Excel - Transform JSON data to Excel spreadsheet with nested object flattening and customizable formatting

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Excel Data Cleaner

Clean Excel data - Remove empty rows, duplicates, whitespace, and standardize text formatting in Excel files

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Excel Sheet Merger

Merge Excel sheets - Combine multiple Excel files into a single workbook with all sheets preserved

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What you can do with Data Tools

Convert Data Formats

Transform between CSV, JSON, XML, YAML, Excel, and other data formats. Convert API responses, prepare data for import, and ensure format compatibility.

Clean and Normalize Data

Remove duplicates, trim whitespace, fix formatting, handle missing values, standardize data, and prepare datasets for analysis or database import.

Transform Data Structures

Reshape data, flatten nested structures, pivot tables, transpose rows and columns, and reorganize data to match required schemas or formats.

Analyze and Validate Data

Check data quality, validate against schemas, detect anomalies, compute statistics, and ensure data integrity before processing or storage.

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