Bulk Excel VLOOKUP Tool is what Turbo Excel VLookup was built for: process thousands of records, without opening the formula bar or worrying about column counting, exact-match arguments, or broken external references.
The sections below cover how the matching process works, what's included, who it tends to fit best, and how it compares to writing the equivalent VLOOKUP formula by hand, so you can decide quickly whether it fits your own spreadsheets.
- Open the Base File that needs new data added to it.
- Open the Lookup Table containing the source records.
- Select the shared ID or key column from each file using the dropdown selectors.
- Select the output columns you want copied across from the Lookup Table.
- Run the match and export the completed file as XLSX, CSV, or TSV.
Matching still comes down to the same basic idea as a manual VLOOKUP - given an ID in this table, find the related value in another file:
| Employee ID | Name | Department | Salary |
|---|---|---|---|
| E101 | Asha Rao | Marketing | 54000 |
| E102 | Vikram Shah | Finance | 61000 |
| E103 | Priya Nair | Sales | 48000 |
Instead of writing =VLOOKUP("E102", A2:D4, 3, FALSE), the same result comes from picking the Employee ID column in each file from a dropdown and ticking Department as a return column.
- Built on a 128-worker parallel processing engine for large files
- Handles spreadsheets with hundreds of thousands of rows without freezing Excel
- No risk of Excel becoming unresponsive while a huge formula recalculates
- Processes multiple files in a single batch run
- Export options for XLSX, CSV, and TSV output formats
Built for spreadsheets that are too large for a formula-based approach to stay responsive - large customer databases, transaction logs, or multi-year historical records.
Where a formula copied down hundreds of thousands of rows would make Excel noticeably sluggish, the matching engine here processes the same volume in one pass.
Copying a VLOOKUP formula down hundreds of thousands of rows can make even a fast computer's Excel installation noticeably slower to edit and save. A dedicated matching engine processes the same volume without leaving formulas in every row of the output.
For very large files, closing other memory-heavy applications before running a match helps the parallel processing engine work through the data more smoothly, particularly on lower-spec machines.
Splitting an extremely large source file into a few smaller ones first - by date range or category, for example - can also make it easier to spot-check results before committing to the full dataset.
How large a file can this handle?
It's built to process files with hundreds of thousands of rows without the slowdowns typical of formula-based approaches.
Can multiple files be processed in one run?
Yes, batch processing allows several files to be matched in a single session.
What file formats are supported?
XLSX, XLS, and CSV files are supported for both input and output.
Does the source file need to stay open while matching runs?
No, both files are loaded directly by the app and don't need to remain open in Excel.
What happens to rows that don't find a match?
Unmatched rows are clearly reported in the match statistics rather than silently left blank or causing an error.
Is a Gumroad license required to use the full feature set?
Yes, a license key activates the full version; activation details are covered on the Support and Activate pages.
Can the same match be re-run later on updated files?
Yes, the same column mapping can be reused any time the source files are refreshed with new data.
Does it work with very large spreadsheets?
Yes, the matching engine is built with parallel processing to handle large files without slowing down.
Is any coding or macro knowledge required?
No, the entire process is handled through a point-and-click interface with no code involved.
Does this replace VLOOKUP entirely, or work alongside it?
It can be used instead of writing a VLOOKUP formula, or alongside existing formulas in the same workbook - there's no conflict either way.
Can I undo a match if the wrong columns were selected?
Yes, since the original files aren't modified in place, simply reload them and run the match again with corrected column selections.
Ready to stop fighting #N/A errors and match your spreadsheets visually?