JSONL Log Field Extractor
Generate named capture groups for newline-delimited JSON logs locally in the browser.
{"timestamp":"2026-04-27T10:30:00Z","status":500,"errorCode":"E_TIMEOUT","message":"upstream timed out"}代码生成仅本地运行
JSONL Log Field Extractor
Generate named capture groups for newline-delimited JSON logs locally in the browser.
此工具在你的浏览器本地运行。你的输入不会被上传。
不上传无服务器日志无运行时 API浏览器内转换
Prefilled local output
Copy the generated result or open the full tool to adjust inputs locally.
Sample log line
{"timestamp":"2026-04-27T10:30:00Z","status":500,"errorCode":"E_TIMEOUT","message":"upstream timed out"}Regex and parsing snippets
JSONL access example
const record = JSON.parse(line);
const timestamp = record["timestamp"];
const message = record["message"];
const status = record["status"];
const errorCode = record["errorCode"];
Field table
| Field | Capture group |
| --- | --- |
| timestamp | `timestamp` |
| message | `message` |
| status | `status` |
| errorCode | `errorCode` |
Preview
Line 1: no match
Python snippet
import json
record = json.loads(line)
# Access fields directly, for example:
# message = record.get("message")
JavaScript snippet
const record = JSON.parse(line);
// Access fields directly, for example:
// const message = record.message;示例
工作原理
- JSONL Log Field Extractor focuses on extracting useful fields from newline-delimited JSON logs. The sample is prefilled so you can inspect the generated JavaScript and Python named capture groups immediately.
- This page is not a generic regex playground. It is tuned for log parsing workflows: select fields, generate a conservative extraction pattern, preview matches, and copy parser snippets into your own pipeline.
- Regex is best for stable line-oriented logs. If your application emits JSONL, parse JSON rather than matching text; if your log format varies by service version, treat the generated pattern as a starting point and add tests around real samples.
限制
- 此预设面向常见工作流，生产使用前仍需结合你的运行环境复核。
- 生成结果是确定性的本地输出，但 scheduler、日志格式或基础设施 dialect 可能存在差异。
- 如果需要调整字段、端口、选项或样例输入，请使用完整父工具页面。
FAQ
Can this parse every newline-delimited JSON logs variant?
No. It generates a practical starter for common formats and shows warnings when manual adjustment is likely.
Are sample logs uploaded?
No. Generation and preview run locally in the browser.
Why use named capture groups?
Named groups make downstream parsing clearer because each extracted value is labeled by field name.