CSV to JSON Conversion

Why CSV to JSON Conversion is required?

Converting CSV to JSON streamlines the transition from a structured spreadsheet to a versatile digital format, facilitating seamless
integration across diverse platforms and systems. This conversion addresses the need for efficient data exchange and interoperability
between various applications and databases. While CSV files organize data in a tabular format, JSON offers a more flexible and standardized
representation, making it ideal for diverse data structures and web-based applications. By leveraging JSON’s hierarchical structure and
key-value pairs, users can efficiently manipulate and transmit data, maintaining consistency and accessibility across different environments.
Whether for data migration, interoperability, or web development purposes, converting CSV to JSON unlocks new possibilities in data management
and utilization, enhancing productivity and system integration.

Difference between Manual and Automated Conversion:

1. Process Involvement:

• Manual Conversion: Requires human intervention to manually input data from the CSV file into the JSON format, typically using a text editor or spreadsheet software.
• Automated Conversion: Involves using software or tools to automatically convert CSV data into JSON format without manual intervention.

2. Time and Effort:

• Manual Conversion: Can be time-consuming, especially for large datasets, as each data entry needs to be transcribed manually.
• Automated Conversion: Generally faster and requires less effort as the conversion process is handled automatically by software, saving time and labor.

3. Potential for Errors:

• Manual Conversion: Prone to human errors such as typos, missing data, or incorrect formatting, particularly with extensive datasets.
• Automated Conversion: Reduces the likelihood of errors associated with manual input, providing more accurate results, especially for routine conversions.

4. Customization and Control:

• Manual Conversion: Offers greater control over the conversion process, allowing for customization of JSON structures and handling of specific formatting requirements.
• Automated Conversion: Provides convenience and efficiency but may offer limited customization options, potentially lacking flexibility for complex data structures or unique formatting needs.

5. Suitability for Complex Data:

• Manual Conversion: Well-suited for handling complex data structures or situations where precise control over the conversion process is required.
• Automated Conversion: Generally more suitable for routine conversions or scenarios where speed and efficiency are prioritized over customization.

6. Learning Curve and Technical Expertise:

• Manual Conversion: Requires basic familiarity with JSON syntax and the ability to manually manipulate data.
• Automated Conversion: May require some technical knowledge to set up and configure the conversion tool or software, but generally less expertise is needed compared to manual conversion.

1. Manual Method – CSV to VCF conversion:

1. Open the CSV File: Start by opening the CSV file using a text editor like Notepad, or a spreadsheet software like Microsoft Excel or Google Sheets.
2. Review the CSV Structure: Take a look at the CSV file to understand its structure. Identify the headers (column names) and the data rows.
3. Define JSON Structure: Determine how you want to structure the JSON data. This could involve deciding on key names and whether you need any nested objects.
4. Create JSON Skeleton: Open a text editor and start creating the basic structure of your JSON file. You can begin with an empty array `[]` if your CSV represents an array of objects, or an empty object `{}` if you’re converting each row to a separate JSON object.
5. Iterate Through CSV Rows: For each row in the CSV file (excluding the header row), follow these steps:
   1. Create JSON Object: If you’re converting each row to a separate JSON object, create an empty object `{}`.
   2. Map CSV Columns to JSON Keys: For each column in the CSV row, map the column value to its corresponding JSON key. For example, if the CSV column is “Name” and the value is “John”, in JSON, it would be `”Name”: “John”`.
   3. Handle Nested Data (if applicable): If your CSV contains nested data, such as multiple levels of hierarchy, create nested objects accordingly within the JSON structure.
   4. Append Object to JSON Array or Save as Separate Object: If you’re converting each row to a separate JSON object, append the newly created object to the JSON array. Otherwise, save the JSON object as it is.
6. Save the JSON File: Once you’ve iterated through all rows and created the JSON structure, save the file with a `.json` extension.

2. Automated Method – CSV to JSON Conversion via ConversionTab.com:

Step 1: Go to the www.conversiontab.com

Open your browser and navigate to conversiontab.com.

Step 2: Choose CSV to JSON option

Under the CSV option, select the CSV to JSON category.

Step 3: Enter CSV text/ Upload CSV file

You have two options: enter text or upload a file (up to 25MB).

Step 4: Choose input Options

User can choose input options,after entering text or uploading file.

Limit# of lines

If user enters 5 in this field, it will only use first 5 rows from input file.

Skip# of lines

If user enters 5 in this field, it will skip first 5 rows from input file.

Field Separator

The default field separator in CSV files is typically a comma (`,`), although users have the option to customize it if the file contains a different separator.

Step 5: Click on “Convert” Button

Step 6: Enter File Name and Click “Download”

User can enter File Name if he wants to customize it. Otherwise, system will generate file name according to the chosen conversion as conversiontab_json.json.