All 100 Online Data Merging & File Tools

Browse our complete directory of specialized file merging, joining, column alignment, deduplication, and data cleaning utilities.

File Merging

Tools for combining multiple datasets into a single structured master file across various formats.

Merge Multiple Files

Combine multiple files of various formats into one consolidated output.

Merge CSV Files

Merge multiple CSV datasets seamlessly with automatic delimiter and header matching.

Merge Excel Files

Combine multiple Microsoft Excel workbooks into a single clean spreadsheet.

Merge XLS Files

Merge legacy XLS spreadsheet files into a unified output file.

Merge XLSX Files

Consolidate multiple XLSX modern Excel spreadsheets effortlessly.

Merge TSV Files

Combine tab-separated value files into a single master TSV file.

Merge TXT Data Files

Merge plain text structured data files into one organized master file.

Merge JSON Files

Flatten and combine multiple JSON arrays or objects into one downloadable file.

Merge XML Files

Combine multiple structured XML files into a consolidated tabular output.

Merge YAML Files

Merge multiple YAML data files into a single organized structure.

Row Appending

Tools designed to stack tables vertically, combining monthly or periodic reporting rows effortlessly.

Append Rows

Stack rows from multiple data files vertically into a single consolidated table.

Combine Tables Vertically

Align column headers and stack tables top-to-bottom seamlessly.

Stack CSV Files

Vertically stack CSV datasets keeping headers aligned.

Stack Excel Sheets

Combine rows from multiple Excel sheets into a single master table.

Combine Monthly Reports

Merge monthly data reports (Jan to Dec) into an annual summary dataset.

Combine Yearly Reports

Combine multi-year reporting files into a comprehensive longitudinal report.

Combine Sales Reports

Merge regional or representative sales reports into one main sales file.

Combine Customer Records

Consolidate customer contact lists from multiple sources into one list.

Combine Product Records

Append product catalog rows across different vendor files.

Combine Inventory Records

Merge warehouse inventory count files into a master stock report.

Data Joining

Perform SQL-style relational joins (INNER, LEFT, RIGHT, FULL OUTER) on datasets using primary keys.

Join Two CSV Files

Perform relational joins between two CSV datasets using a common key field.

Join Multiple CSV Files

Relationally join three or more CSV files by matching unique keys.

Join Excel Files

Join worksheets and Excel files using VLOOKUP/SQL-style joins.

Left Join Data

Keep all rows from primary dataset while matching attributes from secondary file.

Right Join Data

Keep all records from secondary file and attach matching records from primary file.

Inner Join Data

Filter and output only records that match on both left and right datasets.

Full Outer Join Data

Combine all records from both datasets, aligning matched keys.

Join by ID

Match records across datasets using ID, Account Number, or SKU.

Join by Email

Join customer lists and marketing records using Email Address as key.

Join by Multiple Columns

Join datasets matching compound keys across multiple columns.

Data Matching

Cross-reference customer records, email lists, product SKUs, and IDs to find matching or non-matching records.

Match Records

Cross-reference datasets to identify matching records between files.

Match CSV Records

Compare two CSV files and extract identical rows.

Match Excel Records

Compare two Excel spreadsheets to find matching entries.

Match Customer Records

Cross-match customer databases to verify existing accounts.

Match Product Records

Match product catalogs against vendor SKU master files.

Match Email Lists

Compare email subscriber lists to identify overlapping contacts.

Match Phone Lists

Cross-reference call lists or SMS contacts to detect overlap.

Match IDs

Validate ID numbers across two files and isolate matching rows.

Find Matching Rows

Extract all rows that exist in both File A and File B.

Find Non-Matching Rows

Extract unmatched or missing rows between two data files.

Duplicate Management

Identify, filter, and remove duplicate rows across single or multiple merged datasets with precision.

Remove Duplicate Rows

Instantly remove exact duplicate rows from single or merged files.

Find Duplicate Rows

Identify and inspect duplicate rows in your datasets.

Remove Duplicate Emails

Deduplicate mailing lists by filtering unique email addresses.

Remove Duplicate IDs

Ensure unique primary key IDs by purging duplicated ID rows.

Remove Duplicate Names

Deduplicate records based on customer or user full names.

Remove Duplicate Phone Numbers

Clean contact databases by removing repeated phone numbers.

Merge Duplicate Records

Consolidate multiple duplicate entries into one master record.

Keep First Duplicate

Remove recurring duplicates while retaining the earliest occurrence.

Keep Last Duplicate

Remove duplicate records while preserving the latest entry.

Deduplicate Multiple Files

Merge multiple datasets and deduplicate in a single operation.

Column Management

Reorder, merge, split, rename, compare, and standardize columns across multiple files.

Merge Columns

Combine values from two or more columns into a single column.

Combine Columns

Join fields (e.g. First Name + Last Name) into Full Name.

Split Columns

Split a single text column into multiple columns by delimiter.

Reorder Columns

Drag and reorder column positions in your dataset.

Rename Columns

Rename dataset column headers to standardize field names.

Remove Columns

Delete unnecessary columns from merged datasets.

Select Columns

Extract and export only selected columns from your files.

Compare Columns

Compare two column fields side-by-side for differences.

Find Missing Columns

Identify schema differences and missing columns between files.

Standardize Column Names

Normalize header names (lowercase, underscores, trim spaces).

Data Cleaning

Clean CSV and Excel datasets, trim whitespace, normalize text cases, dates, phone numbers, and emails.

Clean CSV Data

Clean CSV datasets, fix line endings, trim spaces, and format cells.

Clean Excel Data

Clean Excel files by stripping blank rows and formatting text values.

Remove Empty Rows

Strip out completely blank or empty rows from your dataset.

Remove Empty Columns

Automatically drop columns that contain no data.

Remove Blank Values

Identify and filter rows containing missing essential values.

Trim Whitespace

Remove leading, trailing, and double spaces from text fields.

Normalize Text

Standardize case (UPPERCASE, lowercase, Title Case) across cells.

Standardize Dates

Convert inconsistent date formats into YYYY-MM-DD standard.

Standardize Phone Numbers

Format telephone numbers into clean, standardized digits.

Standardize Email Addresses

Clean and convert email addresses to lowercase valid formats.

Data Consolidation

Consolidate complex business, sales, inventory, and financial datasets into standardized reports.

Consolidate CSV Data

Consolidate batch CSV files into a unified dataset.

Consolidate Excel Data

Consolidate spreadsheets from various departments into one workbook.

Consolidate Monthly Data

Combine monthly spreadsheet records into an integrated file.

Consolidate Yearly Data

Consolidate multi-year archival data into a single master database.

Consolidate Sales Data

Aggregate multi-channel sales numbers into a single reporting file.

Consolidate Customer Data

Merge CRM customer data from multiple platforms into one master list.

Consolidate Product Data

Consolidate e-commerce product listings across inventory systems.

Consolidate Inventory Data

Consolidate multi-location stock levels into a master stock ledger.

Consolidate Financial Data

Merge financial statements and ledger balance spreadsheets.

Consolidate Business Reports

Combine operational business reporting tables into an executive overview.

Format Conversion

Merge files and instantly convert output into CSV, Excel, JSON, XML, TSV, or YAML formats.

CSV to Excel After Merge

Merge multiple CSV files and export directly as XLSX Excel spreadsheet.

Excel to CSV After Merge

Combine Excel sheets and export as a clean unified CSV file.

CSV to JSON After Merge

Merge CSV datasets and convert the final dataset to JSON format.

JSON to CSV After Merge

Flatten and merge multiple JSON files into a structured CSV file.

XML to CSV After Merge

Parse and combine XML files into a downloadable CSV spreadsheet.

CSV to XML After Merge

Merge CSV files and output formatted XML structured data.

Excel to JSON After Merge

Merge Excel workbooks and export output directly as JSON.

JSON to Excel After Merge

Convert merged JSON data directly into an Excel workbook file.

TSV to CSV After Merge

Combine tab-separated files and convert to standard CSV output.

CSV to TSV After Merge

Merge CSV files and output as a tab-separated TSV file.

Advanced Operations

Advanced data manipulation, master dataset creation, multi-file comparisons, and complex filter pipelines.

Sort Merged Data

Merge multiple files and sort the resulting dataset by any column.

Filter Merged Data

Combine files and apply custom row filtering conditions.

Search Merged Data

Merge datasets and instantly search text patterns across rows.

Compare Two Files

Compare two data files line by line to highlight changes.

Compare Multiple Files

Compare 3+ data files and identify unique and common rows.

Find Missing Records

Detect records that are present in file A but missing in file B.

Find Changed Records

Find modified values for matching IDs across updated files.

Create Master Dataset

Combine, clean, and deduplicate files into one authoritative master file.

Merge and Clean Data

Merge multiple files and clean data in a single automated step.

Universal Data Merger

The ultimate data merging tool supporting all file types, joining, and cleaning.