JSONL Validator
Validate JSONL for AI datasets, logs, and event streams.
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Our tools are free and open source. Feel free to contribute.
Auto-capture all the info engineers need to debug!
JSONL (JSON Lines) is a backbone format for AI pipelines, observability exports, and event-driven backends. Use this validator to catch bad rows fast, jump to exact error lines, and export clean records as a JSON array.
How to use this JSONL validator
- Paste JSONL directly from logs, S3 dumps, Kafka consumers, or AI dataset files. Each line should be one valid JSON value.
- Review line-level issues with line and column hints, then jump to the exact row to fix malformed entries quickly.
- Copy valid rows as a JSON array for local scripts, backfills, smoke tests, or one-off API replay jobs.
Built for modern developer workflows
- AI and LLM datasets:
Validate training samples, eval traces, and prompt/response logs before running expensive jobs. - Observability and incident response:
Triage broken log lines quickly when debugging production telemetry. - Data pipeline reliability:
Clean malformed events before loading to warehouses or replaying through queues.
Why this validator is useful
- Line-by-line diagnostics:
Find exactly where parsing fails instead of guessing across large payloads. - Developer-first speed:
Designed for quick iteration when you are fixing data during debugging sessions. - Client-side workflow:
Run checks in-browser without sending payloads to third-party servers.
Related tools
- JSON Formatter: Format and validate JSON for readability.
- CSV to JSON: Convert tabular data into JSON records.
- JSON to CSV: Turn JSON arrays into spreadsheet-ready CSV files.