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Data Merge Toolv1.0.0

Merges rows from an XLSX or CSV source workbook into a separate template workbook by matching on a named header column (with optional header aliases). Source and template each pick a specific worksheet from multi-sheet files. Numeric and date types are preserved, existing template cell data can be kept or overwritten, and all processing runs in the browser.

Business
Productivity
Spreadsheets
Automation
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Documentation

This tool matches and merges data from your source files into a destination template using a selected column. It works entirely in your browser.

  • Upload your source file and template file (XLSX).
  • See all available worksheets for each file if there are multiple sheets.
  • Enter the column name to match rows between files, such as "Name", "SKU", "book-summary" or "image_01".
  • Optionally upload an alias file to support different column names across files.
  • Choose settings to preserve cell content or recognize numeric and date types.
  • Click Load Data to generate the merged result and Save to download the output file.

Matching logic uses exact or fuzzy string matching. Aliases allow fields like "Brand Name" and "Manufacturer" to map to the same column (e.g. brand). The tool preserves the original template structure by maintaining exact row positioning for no unintended shifting of data.

File structure of alias .json file:

{ "asin": ["asin", "external product id"], "brand": ["brand", "brand name", "manufacturer", "manufacturer name"], "sku": ["sku", "seller sku", "vendor sku", "model number", "manufacturer part number", "item"] }

This tool is useful for various data consolidation tasks where matching information must be combined across different Excel files.

  • Inventory Management: Merge supplier data into product catalogs using SKUs.
  • Data Consolidation: Combine data from multiple departments into a unified report.
  • Report Generation: Update monthly or quarterly reports using a static template and new data.
  • Database Updates: Import bulk updates into existing Excel-based databases.
  • Custom Mappings: Use aliases to align different naming conventions across teams or systems.

Combine multiple spreadsheets into one standardized Excel template and keep your layout intact. Map rows by a shared column, apply column aliases across different naming systems, and merge from multi-sheet workbooks with accuracy. Preserve existing cell values when needed, keep number and date types stable, and maintain formulas and styles for a professional, ready-to-use file.

Streamline reporting workflows and reduce manual copy and paste. Import a preset to reuse your preferred settings, export a preset to share standards with your team, and review the Activity Log to verify actions. Process files in the browser to protect sensitive information and support compliant data handling without external uploads.

Speed up catalog updates, financial rollups, CRM list maintenance, ERP import scenarios, and template-driven reports. Use exact or fuzzy matching for keys such as SKU or Email. Rely on clear feedback, including header detection notes, unmapped fields, and merge completion messages, to validate results before saving.

  • Preserve formatting to keep cell styles, formulas, comments, and links.
  • Match by a shared column to align rows across files with exact or fuzzy logic.
  • Enable column aliases to map inconsistent headers like “Manufacturer” to “Brand.”
  • Support multi-sheet workbooks to gather data across tabs in one pass.
  • Protect privacy by processing all files locally in the browser.
  • Reuse presets to standardize settings across teams and projects.

Update a product catalog by matching the SKU column and merging supplier prices and attributes into a master template. Consolidate quarterly finance data by matching Account ID and filling variance columns while preserving formulas. Refresh a marketing contact list by matching Email and enriching records with sourced tags or segment flags. Align inconsistent headers across teams with an alias file that maps “Brand Name,” “Manufacturer,” and “Maker” to a single Brand field. Save a preset once, then apply the same rules to future files without reconfiguration.

How does matching work? The tool searches for your match column in both files, then merges rows by exact value and supports fuzzy matching for certain keys like SKU. Will styles and formulas be kept? Yes, the tool preserves the original template’s formatting, formulas, comments, and links. Do I need an alias file? No, but aliases help when headers differ between files. Is my data uploaded? No, all processing runs in your browser for enhanced privacy. Can I reuse settings? Yes, export a preset and import it later to apply the same configuration.

Reduce manual errors, shorten reporting cycles, and standardize data consolidation. Maintain high data quality by preserving cell types and formulas, and keep a clear audit trail in the Activity Log. Save time, protect privacy, and deliver consistent spreadsheets that are ready for analysis and distribution.

Inputs, outputs, and what the Data Merge Tool computes

The form above accepts the following inputs and produces the outputs listed below. This summary is rendered in the page so the parameters are visible to crawlers, assistive tech, and indexing agents that don't fetch the embedded tool frame.

Inputs

  • Source Worksheet
  • Template Worksheet
  • Column to Match (text input)
  • Preserve existing cell data
  • Preserve numeric and date types
  • Add vanilla
  • Enable column aliases
  • Saved file name (text input)
  • Activity log

Controls

Export Preset · Clear · Copy

Worked example

This tool matches and merges data from your source files into a destination template using a selected column.