Convert CSV to JSONL

Convert CSV to JSONL in your browser with live preview, optional trimming, key quoting, and export support. Quickly clean and reformat structured data.

Paste your input above or import a file below.
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Supported file types: .txt, .csv
Total characters: 0
Options
Trim fields
Quote keys
Ignore blank rows

How to Use:

  • Paste your CSV data into the Input Text box or upload a .csv or .txt file using the Choose File button.
  • Your CSV should include headers in the first row, followed by data rows. For example: name,age,city Alice,30,New York Bob,25,Los Angeles
  • The output will appear instantly in the right-hand Formatted Output box as JSON Lines format (one JSON object per line).
  • Use the toggles in the Options section to customize behavior:
    • Trim fields: Removes whitespace from each cell before processing.
    • Quote keys: Wraps all JSON keys in quotes (useful for compatibility or readability).
    • Ignore blank rows: Skips any rows that are completely empty.
  • The tool updates automatically as you type or change options no Convert button is required.
  • The character counter under the output updates in real time.
  • Click Copy Output to copy your result or Export to File to download a .jsonl file.
  • Use Clear All to reset everything: input, output, toggles, and filename.

What Convert CSV to JSONL can do:

Convert CSV to JSONL helps you reformat structured tabular data into JSONL format, commonly used in data pipelines, logs, and machine learning applications. Each row in your CSV becomes a self-contained JSON object. This format is especially useful when processing data line-by-line or feeding it into tools that expect newline-delimited records. With built-in options for trimming, key formatting, and filtering, the tool ensures your output is clean and ready for use no scripting required, and no data ever leaves your browser.

Example:

Before:

name,age,city
Alice,30,New York
Bob,25,Los Angeles

After:

{"name":"Alice","age":"30","city":"New York"}
{"name":"Bob","age":"25","city":"Los Angeles"}

Common Use Cases:

Useful for transforming spreadsheet data into newline-delimited JSON for ingestion into log processors, analytics systems, or ML tools. It’s also ideal for anyone who needs clean, lightweight JSON output without setting up scripts or code.

Useful Tools & Suggestions:

If you’re working with structured records, Analyze CSV can help flag any irregular rows before conversion. And once you’re in JSONL, Convert JSONL to CSV lets you swap it back whenever you need.

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