Extract Unique Values from YAML Files Online

Extract all distinct values from any column in YAML files directly in your browser. Download the unique values list — no upload required.

How to extract Unique Values from YAML files

Drop your file onto the upload area. The row count is shown and the first column is pre-selected.
Choose the column you want to list in the Column dropdown.
Click Extract Unique Values. The distinct values appear in a single column called value, sorted in ascending order.
Click Download to save the list in the same format you uploaded, with _unique added to the file name.

Your file is processed locally in your browser and is never uploaded. The free limit is 50 MB per file; larger files work if your device has the memory for them.

Worked example

An HR team is building a department filter for a careers page from a job postings export. They need the list of departments that actually appear in the data.

Input (YAML)

- job_id: J-310
  title: Backend Engineer
  department: Engineering
  remote: true
- job_id: J-311
  title: Account Executive
  department: Sales
  remote: false
- job_id: J-312
  title: QA Analyst
  department: engineering
  remote: true
- job_id: J-313
  title: Payroll Specialist
  department: Finance
  remote: false
- job_id: J-314
  title: Office Coordinator
  department: null
  remote: false
- job_id: J-315
  title: Sales Manager
  department: Sales
  remote: false

Settings

Column: department

Result

value
Engineering
Finance
Sales
engineering

Six rows give four distinct values. Sales appears twice but is listed once. The null department is left out. Engineering and engineering are different values because matching is case-sensitive. The sort puts all capitalised words before lowercase ones, which is why engineering comes last. The list reveals a data entry problem to fix before it goes on the site.

Frequently Asked Questions

Are null values included in the list?

No. Nulls are excluded. Empty CSV fields and blank Excel cells load as nulls, so they are left out too. An empty string in a JSON or Parquet file is a real value and is listed. Use Count By if you need to know how many rows are null.

Is the matching case-sensitive?

Yes. "Sales" and "sales" are listed separately, and capitalised values sort before lowercase ones. Run Convert Case first if you want them merged.

Is there a limit on the number of unique values?

The on-screen table shows the first 500 values. The heading gives the full count, and the downloaded file contains all of them, limited only by your browser's memory.

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