YAML to CSV Converter Online — Flatten YAML to CSV

The OpenFormatter YAML to CSV converter solves this by flattening nested keys with dot notation (address.city, profile.preferences.theme), inferring headers from a list of mappings, and falling back to a key/value table when the YAML is a single config object. Output is RFC 4180–compliant: commas, quotes, and newlines inside values are escaped correctly, so the file opens cleanly in Excel, Google Sheets, and pandas.read_csv.

How to convert YAML to CSV online — 4 steps

1. Paste your YAML. Copy a YAML file — typically a list of records under a single key (users:, products:, fixtures:) or a flat config map — into the YAML Input panel. Click Load Sample to try a list of users.
2. Click Convert. The converter detects whether the YAML is a list of mappings or a single mapping, flattens nested keys using dot notation, and emits CSV.
3. Verify headers. Each flattened key path becomes a column. Confirm the column count matches the deepest record and that empty cells appear where a record is missing a key.
4. Open in your spreadsheet. Click Copy and paste into Excel, Google Sheets, LibreOffice Calc, or save as .csv for database import or pandas analysis.

Sample YAML and CSV output

Here is a list of three users with nested address fields, and the flattened CSV the converter produces:

users:
  - id: 1
    name: Ada
    role: admin
    active: true
  - id: 2
    name: Linus
    role: maintainer
    active: true
  - id: 3
    name: Grace
    role: admin
    active: false

id,name,role,active
1,Ada,admin,true
2,Linus,maintainer,true
3,Grace,admin,false

If a record contained a nested object — say address: { city: Berlin, zip: 10115 } — the headers would expand to address.city and address.zip automatically, with each row populated from the nested mapping.

Common use cases

• check_circleExporting YAML seed data files to CSV for review in Excel or Google Sheets
• check_circleConverting Rails / Phoenix / Laravel YAML fixtures to CSV for database COPY or LOAD DATA INFILE
• check_circleFlattening nested Helm or Kubernetes values.yaml into key/value CSV for diffing across environments
• check_circleTransforming YAML product catalogues to CSV for Shopify, BigCommerce, or Magento import
• check_circleExtracting YAML data tables for reporting or sharing with non-technical stakeholders
• check_circleConverting YAML inventory, pricing, or roster files to CSV for ETL pipelines
• check_circleLoading YAML records into pandas via to_csv → read_csv for data science workflows
• check_circleSending CSV exports to BI tools (Tableau, Looker, Metabase) that prefer flat tabular input

YAML vs CSV — when this conversion makes sense

YAML is the right format for humans editing nested records by hand — comments, anchors, indentation cues all help. CSV is the right format for machines that want a strictly tabular view: spreadsheets, columnar stores, BI dashboards, statistical languages. Convert YAML to CSV when the YAML is tabular at heart (a list of users, products, or test fixtures) but happens to be authored in YAML for readability. Resist the conversion when the YAML is deeply hierarchical and not list-shaped — the result will be either a sparse table or a long key/value file. In that case, JSON or Parquet is a better target.