Charmrai
Convert CSV to JSON, remove headers or select columns, and add Unix timestamp to each row.
What is Charmrai?
Charmrai is a straightforward CSV to JSON converter designed for developers and data analysts who need to transform tabular data into JSON format. The tool offers practical options to customise your output: you can remove headers, select specific columns, and automatically add Unix timestamps to each row. This is particularly useful when you're preparing data for APIs, databases, or applications that require JSON input with time-based tracking. The freemium model means you can try basic conversions without cost, making it accessible for small projects and testing before committing to paid features.
Key Features
CSV to JSON conversion
transforms comma-separated values into properly formatted JSON objects
Header removal
strip out header rows if your JSON output doesn't need column labels
Column selection
choose which columns to include in the JSON output rather than converting everything
Unix timestamp addition
automatically adds a Unix timestamp to each row, useful for tracking when data was processed or ingested
Freemium access
convert data without payment for basic use cases
Pros & Cons
Advantages
- Simple, focused tool that does one job well without unnecessary features
- Column selection saves time when working with large CSV files where you only need specific fields
- Automatic timestamp addition removes a manual step in data preparation workflows
- Free tier allows testing and small-scale conversions at no cost
Limitations
- Limited to CSV input format; doesn't handle other common data formats like Excel or TSV
- No batch processing or bulk file conversion mentioned, so handling multiple files requires individual uploads
- Unclear what restrictions or limitations apply to the free tier versus paid tiers
Use Cases
Preparing CSV exports from spreadsheets for API endpoints that require JSON input
Adding processing timestamps to datasets before importing into databases
Filtering unwanted columns from CSV files during data transformation pipelines
Converting customer or product data exports into JSON format for application configuration
Testing and validating data format changes before committing to larger conversion tools