📂
TOOL

Data Merger

Amalgamate, stack, and align multiple spreadsheet datasets locally. Choose between vertical union stacking or horizontal primary-key joins.

Runs in your browser
Local-first browser native processing
No installation or server uploads required

Selecting a file allows the browser to read it locally. Files are processed locally in your browser when using supported tools. No upload required for supported workflows.

Drag & drop files to begin

Select or drag multiple files from your device. Entirely processed locally in your browser memory.

Local-First Data Merger

Join multiple tabular datasets securely inside your web browser.

SHRTX enables you to join or append separate tabular datasets together using professional relational merging strategies. By processing all operations entirely inside your web browser's memory, you avoid uploading sensitive tables, contact spreadsheets, or metrics logs to any external servers. The merger supports both horizontal joins (aligning matching rows by common ID or Key columns) and vertical unions (stacking files with automatic header alignment). Merge your tables cleanly and export the unified results immediately.

Live Browser Runtime
Zero Upload
Local Browser Session
Processing Pipeline
SDK Engine V2.4.0
Active ProcessID: SELECT

Load Multi-CSVs

Load two or more CSV files into the merger workspace. The tool initiates independent read buffers for each source document.

Browser Instruction

Reading multiple File Blobs into client-side string memory arrays.

Privacy Guarantee

All documents are held locally in standard variable memory. No server uploads occur.

Multiple buffers initialized.
Browser API
Runtime Event Log
Worker: Active
Heap: 2.4MB
SYSTEM#SHRTX Browser Runtime v2.4 initialized.

Tabular Joining Workflows

Understand how tables are aligned and consolidated during execution.

1

Load Tables

Load primary and secondary CSV sheets into the applet interface.

2

Choose Strategy

Select vertical append or relational horizontal alignment.

3

Set Join Key

Choose the relational column to match across all documents.

4

Align Columns

Match matching columns or rename duplicate names automatically.

5

Resolve Matches

Process rows to filter matches or keep unmatched values.

6

Verify Results

Audit headers and unified rows in the live browser preview.

7

Secure Export

Download the newly joined, clean dataset locally.

Core Data Merging Features

Professional merging paradigms accessible completely offline.

Left Join Alignment

Keeps all rows from your primary table and appends matching values from secondary tables.

Inner Join Matching

Filter your dataset to only show rows where joining keys exist in both spreadsheets.

Vertical Union Stacking

Append rows vertically, automatically placing values in corresponding columns even if the headers are out of order.

Conflict Prefixing

Automatically detects non-key duplicate headers across files and prefixes them with source names.

Supported Dialects

Comma-Separated Values (CSV)

Full support for standard tables. Perfect for database joins and mailing spreadsheet alignments.

Tab-Separated Values (TSV)

Easily handle tab-delimited files, ideal for quick spreadsheet clipboard copies.

Custom Separators

Work with alternative separators, standardizing them into an exportable, unified format.

Manual Spreadsheet lookups vs Relational Merger

How local machine-based automation outperforms manual sorting.

Property
Manual VLOOKUP Functions
SHRTX Join Engine
Speed of Execution
Slow, formulas freeze Excel
Instantaneous local alignment in milliseconds
Non-Key Collision
Silent overwrites or broken values
Smart source-based automatic prefixing
Delimiter Autodetect
Require manual wizard settings
Auto-detection of comma, tab, and pipe boundaries
Match Filtering
Manual sorting and deleting
Left and Inner join filters built-in
Appending Rows
Copy-pasting columns manually
Schema-aligned Union matching in one click

Practical Applications

Combine independent data feeds cleanly inside your web browser.

Consolidating Marketing Leads

Merge subscriber list details with customer transaction files using email as a matching key.

Monthly Sales Aggregation

Stack multiple monthly regional CSV reports together with perfect header alignment.

System Metric Correlation

Align system performance logs with error databases based on timestamp keys.

CRM Data Merges

Match legacy client ID files with updated address spreadsheet records.

Local Execution by Design

This tool operates directly inside your web browser using HTML5 File APIs. No spreadsheets or records are transmitted over the network or stored on our servers. Files stay on your device, assuring confidentiality and offline support.

Frequently Asked Questions

Q:How secure is my data in the Data Merger?

Because the merger is written entirely in client-side TypeScript, files stay on your device. All merging calculations, parsing, and exports happen locally inside your web browser.

Q:What is the difference between Left Join and Inner Join?

A Left Join returns all records from the first (primary) file, and any matching records from subsequent files. If there is no match, the columns from secondary files remain blank. An Inner Join only returns rows that have matching keys present in both files.

Q:What is a Vertical Union?

A Union appends the rows of the second file directly underneath the first. Even if the files have columns in different orders, the merger automatically maps values to matching headers, inserting blank cells where a column only exists in one file.

Q:What happens if files have different column names that mean the same thing?

For horizontal joins, you must select a single matching key column name. If your files have different key column names (e.g. "User_ID" vs "id"), you can use the [CSV Cleaner](/tools/csv-cleaner) tool first to rename them to be identical before merging.

Q:Is there a maximum limit on the number of rows?

There is no hard limit on rows, as calculations are executed on-device. Performance scales with your computer's RAM and CPU capabilities, easily processing standard corporate spreadsheets.

Q:Can I merge files offline?

Yes, after the page has loaded, the Data Merger works completely offline. No internet connection is needed to parse or join your files.

Learning Resources

Master this tool with Product Guides

Learn the workflows, common mistakes, and advanced techniques behind Data Merger with our deep-dive educational content.

Browse All Guides