Just upload your CSV file in the form below and it will automatically get converted to a YAML file. In the tool options, you can specify the field delimiter character, field quote character, and comment character to adapt the tool to custom CSV formats. Additionally, you can select the output YAML format: one that preserves CSV headers or one that excludes CSV headers.
In this example, we transform a short CSV file containing a music playlist into structured YAML data. The input CSV contains five records with three columns each and the output YAML contains five lists of lists (one list for each CSV record). In YAML, lists start with the "-" symbol and the nested lists are indented with two spaces
The Beatles,"Yesterday",Pop Rock Queen,"Bohemian Rhapsody",Rock Nirvana,"Smells Like Teen Spirit",Grunge Michael Jackson,"Billie Jean",Pop Stevie Wonder,"Superstition",Funk
- - The Beatles - Yesterday - Pop Rock - - Queen - Bohemian Rhapsody - Rock - - Nirvana - Smells Like Teen Spirit - Grunge - - Michael Jackson - Billie Jean - Pop - - Stevie Wonder - Superstition - Funk
In this example, we are working with CSV data that summarizes key properties of three planets in our solar system. The data consists of three columns with headers "planet", "relative mass" (with "1" being the mass of earth), and "satellites". To preserve the header names in the output YAML data, we enable the "Transform Headers" option, creating a YAML file that contains a list of YAML objects, where each object has three keys: "planet", "relative mass", and "satellites".
planet,relative mass,satellites Venus,0.815,0 Earth,1.000,1 Mars,0.107,2
- planet: Venus relative mass: 0.815 satellites: '0' - planet: Earth relative mass: 1.000 satellites: '1' - planet: Mars relative mass: 0.107 satellites: '2'
In this example, we convert a CSV file with non-standard formatting into a regular YAML file. The input data uses a semicolon as a separator for the "product", "quantity", and "price" fields. It also contains empty lines and lines that are commented out. To make the program work with this custom CSV file, we input the semicolon symbol in the CSV delimiter options. To skip comments, we specify "#" as the symbol that starts comments. And to remove empty lines, we activate the option for skipping blank lines (that do not contain any symbols). In the output, we obtain a YAML file that contains a list of three objects, which use CSV headers as keys. Additionally, the objects in the YAML file are indented with four spaces.
item;quantity;price milk;2;3.50 #eggs;12;2.99 bread;1;4.25 #apples;4;1.99 cheese;1;8.99
- item: milk quantity: 2 price: 3.50 - item: bread quantity: 1 price: 4.25 - item: cheese quantity: 1 price: 8.99
Convert CSV data to JSON format.
Convert CSV data to XML format.
Convert CSV rows to columns.
Convert CSV data to TSV format.
Reorder CSV columns.
Change CSV file delimiter
Quickly find rows and columns in CSV that are missing values.
Quickly transpose a CSV file.
Quickly insert one or more new columns anywhere in a CSV file.
Convert TSV to JSON format