CSV → NDJSON Converter
Convert CSV to NDJSON Online
Transform CSV files into NDJSON (newline-delimited JSON) format for log processing and data pipelines. Convert Buddy streams CSV rows directly to NDJSON with auto-detected delimiters and field mapping. Works entirely in your browser with no file size limits.
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Streams CSV to NDJSON
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Auto-detects CSV structure
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Perfect for log pipelines
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Direct browser processing
Start Converting CSV to NDJSON
No registration required. Files processed locally in your browser.
Command Center
Detect → schema → convert
Drop a file and watch Convert Buddy detect structure, preview fields, and convert instantly.
Drop a file to detect + convert
Supported formats: CSV, JSON, NDJSON, XML
Detection status
IdleFormat: csv
Structure: Awaiting detection.
Fields: 0
Estimated records: —
Input: Awaiting file
Output format
Choose your destination format.
Performance telemetry
LiveThroughput
0.0 MB/s
Records/sec
0
Records processed
0
Elapsed
00:00
Bytes in/out
0.0 MB / 0.0 MB
Output
Output will appear here after conversion completes.
Format: csv → ndjson
Output files are UTF-8 text. JSON output is intentionally minified for streaming performance, so it may open as a single line until you run your editor's format command.
Frequently Asked Questions
What is the benefit of CSV to NDJSON conversion?
NDJSON is optimized for streaming and line-by-line processing. Converting CSV to NDJSON makes it easier to work with log aggregation systems, data pipelines (like Kafka or Fluentd), and command-line tools. Each CSV row becomes a standalone JSON object on its own line.
How does the CSV to NDJSON converter work?
Convert Buddy parses your CSV file row-by-row, automatically detecting the delimiter and headers. Each row is converted into a JSON object with field names from the CSV header. These objects are written as NDJSON, one per line, making it ideal for streaming scenarios.
Can I convert large CSV files to NDJSON?
Yes. Convert Buddy uses streaming processing to handle CSV files of any size. Even multi-GB files are processed incrementally without memory issues. You will see real-time throughput metrics showing rows per second and data processed.
What CSV delimiters are supported?
Convert Buddy auto-detects common delimiters: comma, semicolon, tab, and pipe. You can also manually specify custom delimiters. The parser handles quoted fields, escaped characters, and different line endings automatically.
Is NDJSON better than JSON for CSV data?
It depends on your use case. NDJSON is better for streaming, log processing, and append-only scenarios because each line is independent. Standard JSON arrays are better for hierarchical data and when you need to load the entire dataset into memory at once. Convert Buddy supports both.
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