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CSV to Table Converter

CSV to Table Converter

The CSV to Table Converter allows users to quickly and easily convert their data from Comma Separated Values (CSV) format into an easy-to-read, organized table. This can be useful for visualizing and interpreting large datasets or preparing reports. With the converter, users have control over the output of their tables—they can choose the number of rows and columns, adjust font size, formatting, and more. Additionally, users can export their tables in various formats, such as HTML or Excel. This allows their data to be shared with colleagues or used in other applications. The converter is simple to use—upload your CSV file and customize your table's output. This tool allows users to save time and access powerful data insights instantly.
Configure the settings for the conversion


CSV is an old & very popular format for storing tabular data. It has been used in the desktop as well as mainframe. It is a simple & compact format that works really well for tabular data and so is still in use today.

HTML is the language of the internet. It is what creates HTML pages (even this one). In the old days, HTML used to be static with some JavaScript added into the mix for dynamic behavior and effects. Then HTML was served dynamically from the server side with the advent of server side programming languages such as PERL, PHP, ASP. And now there is a new trend where HTML is again being served as static resources with JSON (from REST web services) and JavaScript making it dynamic.

Settings Explained
  1. Delimiter
    The delimiter in the input CSV is specified here. In most cases the default setting Auto Detect works fine. But, in really small CSV data with delimiters also occurring as literals, the auto detection logic might not choose the correct delimiter. In such a scenario, the delimiter can be manually specified. Following are the choices for delimiters:-
    • Auto Detect
    • Comma
    • Tab
    • Space
    • Pipe
    • Semi-Colon
  2. First Row Is Header
    If this option is selected the first row of your comma separated file is assumed to be the header. The names of the properties are generated using the field values in the first row. If the option is not selected the property names are generated automatically using a numeric pattern: column 1, column 2, column 3, etc. In the latter case the first row is interpreted as raw data.
    • First Row is Header On
          "name": "Robin Hood",
          "department": "Sales",
          "salary": 200
    • First Row is Header Off
          "column 1": "Name",
          "column 2": "Department",
          "column 3": "Salary"
          "column 1": "Robin Hood",
          "column 2": "Sales",
          "column 3": 200
  3. Add Line Numbers
    If selected, a line number column number is added at the front
  4. Add Table Heading
    If selected, TH nodes are used for the heading instead of TD.
  5. Sum Numeric Fields
    If selected, a row is added at the bottom of the table with the sum of all numeric fields.
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