How does a YAML list become CSV rows?

The input must be a YAML sequence of mappings — a list whose items are objects. Each item turns into one CSV row, and the header is the union of all keys across every object, in first-seen order. So `- name: Alice` / `age: 30` followed by `- name: Bob` / `age: 41` becomes the header `name,age` then `Alice,30` and `Bob,41`. A single top-level object is treated as a one-row table, and a list of plain scalars becomes a single `value` column.

My objects don't all have the same fields — what happens to the missing ones?

Nothing breaks. The converter scans every object, collects the full set of keys, and any row missing a key gets an empty cell in that column rather than a shifted or dropped value. If Alice has `name,age` and Bob has `name,city`, the header is `name,age,city` and the output is `Alice,30,` then `Bob,,NYC`. The columns stay aligned no matter how ragged the YAML is.

One of my values has a comma in it — will the columns get scrambled?

No. Output follows RFC 4180: any field that contains the delimiter, a double quote, a carriage return or a line break is wrapped in double quotes, and any quote inside it is doubled. So a city `Portland, OR` is written as `"Portland, OR"` and stays one cell, and `he said "hi"` becomes `"he said ""hi"""`. Every spreadsheet reader unwraps that correctly, so a value full of punctuation lands in exactly one column.

How are nested objects and arrays handled?

Two ways, your choice. By default a nested object or array is JSON-stringified into a single cell — `tags: [x, y]` becomes the cell `["x","y"]`, kept whole and safe to re-parse later. Turn on "flatten nested" and the converter spreads them into extra columns instead: `addr.city`, `addr.zip`, `tags[0]`, `tags[1]`. Flattening is better for filtering and pivoting in a spreadsheet; JSON-in-a-cell is better when you want to round-trip back to structured data.

Can I open the result in Excel?

Yes. Download the .csv and open it directly — Excel, Numbers, LibreOffice and Google Sheets all read it. Two tips: pick the semicolon delimiter if your Excel locale uses a comma as the decimal separator (common in Europe), because a comma-delimited file will otherwise land every row in one column; and the file is UTF-8, so if Chinese or accented text shows as garbage, use Excel's "Data → From Text/CSV" import and set the encoding to UTF-8 rather than double-clicking the file.

Hand a config list to a non-engineer for editing

Your feature flags, service replica counts or A/B buckets live in a YAML file, but the product manager who owns the values only speaks spreadsheet. Convert the YAML to CSV, drop it in a shared sheet, let them edit, then run the reverse converter to bring the changes back to YAML. Nobody has to learn indentation rules to update a number.

Pull a YAML data set into Excel for analysis

A scraper, a CI export or an Ansible inventory left you a YAML list of a few hundred objects. You want to sort, filter and pivot it, which YAML can't do. Convert to CSV, open in Excel or Sheets, and you have a real table — with every object's keys unioned into columns so even the records with extra fields show up instead of being silently dropped.

Diff two YAML data dumps as spreadsheets

Comparing two YAML exports line by line is painful because key order and indentation drift. Convert both to CSV with the same delimiter, load them side by side, and a spreadsheet diff or a simple VLOOKUP tells you exactly which rows changed. The deterministic column order means the same data always produces the same CSV shape.

Feed a YAML fixture into a CSV-only importer

Plenty of bulk-import tools — CRMs, mailing lists, billing systems — only accept CSV. Your test fixtures or seed data happen to be YAML. Convert, pick the delimiter the importer wants, flatten any nested address or tag fields into columns, and upload. No glue script, no pandas one-liner, just paste and download.

YAML to CSV Converter — YAML Array to Spreadsheet

Turn a YAML list of objects into an RFC 4180 CSV — column union, JSON or flattened nested values, comma / semicolon / tab, browser-only

Runs locally
Category Format Converter
Best for Turning pasted content or local files into a handoff-friendly format.

DelimiterFlatten nested objects/arrays into columns

YAML input

CSV output

Paste YAML on the left to see the CSV here.

What this tool does

Free YAML to CSV converter that turns a YAML array of objects into a clean spreadsheet you can open in Excel, Google Sheets or anything that reads comma-separated data. Paste a YAML list, and each item becomes a row; the header is the union of every object's keys in the order they first appear, so a record missing a field gets an empty cell instead of shifting the columns. The CSV is written to the RFC 4180 spec: any value holding a comma, a double quote or a line break is wrapped in quotes and embedded quotes are doubled, so "Portland, OR" stays one cell and a multi-line note survives the round trip. Pick the delimiter (comma, semicolon or tab) to match your locale, and choose how nested objects and arrays are handled: JSON-stringify them into one cell, or flip on flattening to spread them into addr.city and tags[0] columns. One-click copy, download .csv, and a share link that reopens your exact conversion. 100% client-side, nothing is uploaded.

Tool details

Input: Text + Structured content; The page exposes text boxes, numeric controls, file pickers, or structured inputs depending on the tool.
Output: Live result + Copy + Download; The result area focuses on usable output, with copy, download, or preview actions when supported.
Privacy: Browser-side processing; The main tool logic does not call an external API, so inputs normally stay in the current tab.
Save / share: Shareable URL state; Key settings are encoded in the URL so another person can reopen the same setup.
Performance budget: Initial JS <= 12 KB; No WASM budget is declared, keeping the tool quick to open on mobile.
Best fit: Format Converter · Developer; Category and role tags drive related tools, internal links, and quick fit checks.

How to use

1. Input

Paste or drop your content into the tool panel.
2. Process

Click the button. All processing is local in your browser.
3. Copy / Download

Copy the result or download to disk in one click.

How YAML to CSV Converter fits into your work

Use it when the main problem is getting content from one practical format into another.

Conversion jobs

Turning pasted content or local files into a handoff-friendly format.
Previewing a conversion before you use it in a larger workflow.
Cleaning small format mismatches without opening a full editor.

Conversion checks

Try a small sample first when the source format is messy.
Check character encoding, separators, and line endings after conversion.
Keep the source until the converted output has been reviewed.

Good next steps

These links move the current task into a more complete workflow.

Real-world use cases

Hand a config list to a non-engineer for editing
Your feature flags, service replica counts or A/B buckets live in a YAML file, but the product manager who owns the values only speaks spreadsheet. Convert the YAML to CSV, drop it in a shared sheet, let them edit, then run the reverse converter to bring the changes back to YAML. Nobody has to learn indentation rules to update a number.
Pull a YAML data set into Excel for analysis
A scraper, a CI export or an Ansible inventory left you a YAML list of a few hundred objects. You want to sort, filter and pivot it, which YAML can't do. Convert to CSV, open in Excel or Sheets, and you have a real table — with every object's keys unioned into columns so even the records with extra fields show up instead of being silently dropped.
Diff two YAML data dumps as spreadsheets
Comparing two YAML exports line by line is painful because key order and indentation drift. Convert both to CSV with the same delimiter, load them side by side, and a spreadsheet diff or a simple VLOOKUP tells you exactly which rows changed. The deterministic column order means the same data always produces the same CSV shape.
Feed a YAML fixture into a CSV-only importer
Plenty of bulk-import tools — CRMs, mailing lists, billing systems — only accept CSV. Your test fixtures or seed data happen to be YAML. Convert, pick the delimiter the importer wants, flatten any nested address or tag fields into columns, and upload. No glue script, no pandas one-liner, just paste and download.

Common pitfalls

Feeding YAML that is not a list of objects. A top-level scalar (just `42` or `hello`) has no rows or columns, so the tool reports an error. Wrap your data in a sequence of mappings, or paste a single object and it becomes a one-row table.
Picking the comma delimiter for a European Excel. If your Excel uses the comma as a decimal separator, a comma-delimited CSV collapses every row into one cell on open. Switch the delimiter to semicolon (or import via Data → From Text/CSV) so the columns split correctly.
Leaving "flatten nested" off when you actually want to filter the nested fields. With it off, a nested object lands as JSON text in one cell, which you can't sort or pivot on. Turn flattening on to spread addr.city and tags[0] into their own columns before you analyze.

Privacy

Everything — the YAML parse, the column union and the RFC 4180 CSV writer — is plain JavaScript that runs in your browser tab, with no network calls and no logging of what you paste. The one caveat: the shareable link encodes your YAML in the URL query string, so a "share link" pasted into chat will record that data in the recipient server's access log. For a confidential data set, use the copy or download button and send the file instead of the URL. Close the tab and nothing is left behind.

FAQ

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YAML to CSV Converter — YAML Array to Spreadsheet

What this tool does

Tool details

How to use

1. Input

2. Process

3. Copy / Download

How YAML to CSV Converter fits into your work

Conversion jobs

Conversion checks

Good next steps

Real-world use cases

Hand a config list to a non-engineer for editing

Pull a YAML data set into Excel for analysis

Diff two YAML data dumps as spreadsheets

Feed a YAML fixture into a CSV-only importer

Common pitfalls

Privacy

FAQ

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