Two CSV tables merged on shared columns

Analysts and operations teams can combine two CSV tables when they need to consolidate data organized under matching columns.

Join two CSV tables that share the same columns and obtain one combined set, making the aligned information easier to review in one place.

How to use

  1. Start by checking that both tables use exactly the same column titles in their header rows.
  2. Paste or import the first table into the input area of the tool.
  3. Insert the separator line the page expects between the two, then paste the second table below it.
  4. Run the merge and take the combined table from the result area, keeping a single header row.

Example

Two extracts from an order log, with the id and item columns in the same order, separated by the separator line. After merging, the output should stack every row under a single header and should not repeat the column titles.

Input

id,item
1,Chair
2,Table
--
id,item
3,Lamp

Limits and formats

Where processing happens

Nothing leaves your browser: the two tables are joined right in the page you are working in, with no transmission outwards and no copy of your rows kept after you close it.

Frequently asked questions

Do both tables need a header row?

Yes, and the headers should match on both sides, because they define the column order. A table without a header can end up merged with its values shifted into the wrong columns.

How do I avoid duplicate rows after merging?

The tool stacks rows without comparing them, so duplicates survive the merge. To spot them, sort the combined result or count repeated values during a separate analysis step.

What if my columns are not in the same order?

Reorder the columns in one of the two tables before merging. The combined output follows the column order found in the headers you provide.

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