How to Use Our CSV to YAML Converter
Converting your CSV (Comma Separated Values) files or data to YAML (YAML Ain't Markup Language) is simple with our tool:
- Input CSV: Paste your CSV data directly into the left-hand text area, or click the "Choose File" button to upload a .csv or .txt file.
- Set Options (Optional):
- YAML Indentation: Choose your preferred YAML indentation (2 spaces, 4 spaces, or tabs).
- CSV Delimiter: Select the delimiter used in your CSV. 'Auto-detect' works for most common cases.
- First row is data (No Header): Check this if your CSV lacks a header row.
- Convert: Click the "Convert to YAML" button.
- Get YAML: Your converted YAML will appear. You can edit it directly after successful conversion.
- Copy or Download: Use the respective buttons to get your YAML data.
Why Convert CSV to YAML?
- Human Readability: YAML's indentation-based structure is easier for humans to read than CSV for complex data.
- Hierarchical Data: YAML excels at representing nested data structures.
- Data Types: Supports lists, dictionaries, scalars (strings, numbers, booleans), nulls, and dates more explicitly.
- Comments: YAML allows comments for better documentation.
- Widely Used: Popular in configuration files (Docker, Kubernetes, Ansible) and data serialization.
Features of This CSV to YAML Tool
- Direct Input & File Upload: Paste data or upload .csv/.txt files.
- Customizable Delimiters: Auto-detect or specify comma, semicolon, tab, pipe, or space.
- Header Row Option: Supports CSVs with or without a header.
- YAML Formatting: Control indentation (spaces or tabs).
- Editable Output: Modify the generated YAML.
- Copy & Download: Easy access to your results.
- Error Handling: Clear feedback for parsing issues.
- Responsive Design: Works on all devices.
- Dark Mode: Switch themes for your viewing preference.
- Free & Online: No installation or signup required.
Frequently Asked Questions (FAQ)
Yes, this tool is completely free to use.
Absolutely! Once the conversion is successful, the YAML output area becomes editable. You can make changes before copying or downloading.
By default, our tool assumes the first row of your CSV is a header. If your CSV has no headers, check the "First row is data (No Header)" option, and generic keys (e.g., column_1, column_2) will be used.
You can select from common delimiters (comma, semicolon, tab, pipe, space) or let the tool try to auto-detect it. If auto-detect fails, specifying the delimiter manually often resolves parsing issues.