Log to XML Converter

Some systems speak XML, not JSON. Legacy enterprise pipelines, ESB integrations, SOAP-based feed handlers and compliance archives often expect logs wrapped in well-formed XML — and pasting raw text into them breaks parsing instantly. Log to XML Converter turns any batch of log lines into a structured, valid XML document in one paste, entirely in your browser.

The parser recognizes the common log dialects — bracket timestamps like [2026-08-15 09:12:33] [ERROR] [api], plain timestamp LEVEL category lines, key=value trails, JSONL lines and syslog headers — and maps each line to one log entry element under a single root element. In the default mixed style, timestamp, level and category become attributes on the entry element, the message becomes the text of a nested <message> element, and every remaining key=value pair (like user_id, ip or status) becomes its own child element, so the shape of your logs is preserved as real XML structure instead of one long unparsed string.

Output is fully configurable for whatever is consuming it. Rename the root element (default log) and the entry element (default entry) to match a schema your downstream system already expects — both names are honored consistently across every mode, including the entry-wrapping tag itself. Switch field style between the default mixed mode, an attribute-only mode that emits one compact self-closing element per log line (handy for toolchains that read metadata off attributes rather than parsing child nodes), or an element-only mode where every field, including timestamp and level, becomes its own nested child element wrapped inside the entry tag. Toggle pretty-printed, indented output for human review and diffing, or minified single-line output when byte size matters for a pipeline. An XML declaration (<?xml version="1.0" encoding="UTF-8"?>) can be included or omitted depending on whether your consumer expects one.

Special characters — ampersands, angle brackets, quotes and apostrophes — are escaped in both attribute values and element text, so a message containing a literal & or a stray < still produces valid, parseable XML rather than a document that silently fails to load. Element and tag names derived from your data (like a field called 2xx-count) are automatically sanitized into legal XML tag names. Lines that cannot be parsed at all are skipped and reported by line number instead of corrupting the document. Everything — detection, parsing, escaping and XML assembly — runs locally; your logs never leave the page.

• Auto-detect parsing: bracket, plain, key=value, JSONL and syslog styles recognized per line.
• Well-formed output: every special character escaped in both attributes and text, always valid XML.
• Configurable root and entry names: rename both elements to match a schema you already use; the entry name applies consistently in every field style.
• Three field styles: mixed (attrs + elements), all-attributes (compact self-closing entries), or all-elements (every field as a child node).
• Message preservation: log text kept intact as element content.
• Pretty or minified: indented, readable XML or compact one-line output.
• XML declaration toggle: include or omit the version/encoding header.
• Legal tag names: field names are sanitized so every element and attribute name is valid XML.
• Skipped-line reporting: lines that fail to parse are listed, not silently dropped.
• Sample data: load a realistic multi-format feed in one click.
• Local processing: everything runs in your browser, nothing uploaded.

1. Paste your logs. Drop any number of log lines into the input box, or click Load sample to try a realistic multi-format feed.
2. Choose the parser. Auto-detect handles most feeds; pin a format for tricky ones.
3. Set XML options. Rename the root and entry elements, pick a field style, and choose pretty or minified output plus the XML declaration.
4. Convert. A well-formed XML document appears with entry and byte counts, plus a list of any lines that failed to parse.
5. Copy or download. Copy the XML, download as .xml, or open it in an XML viewer or your target system.

Example 1 — Enterprise feed integration. A legacy message bus expects events as XML with specific element names. Rename the root and entry elements to match its schema, choose element-based output, and every log line becomes a well-formed entry the ESB accepts without modification.

Example 2 — Compliance archive. An audit trail must be stored as XML documents. Convert the log export to pretty XML, keep the declaration, and archive a parseable, human-reviewable record with a predictable root and entry structure.

Example 3 — Attribute-style for compact consumers. A toolchain reads logs faster when metadata is in attributes rather than nested elements. Switch to all-attributes mode for compact, low-overhead entries with every field as an attribute on a single self-closing tag.

Example 4 — XSLT-friendly output. You need to transform logs with XSLT. All-elements output with a custom entry name gives the stylesheet clean, predictable node paths to bind against, since every field — including timestamp and level — is its own child element.

Example 5 — Testing an XML parser. Build a fixture of valid log XML to unit-test an XML ingestion parser, with pretty output for readable diffs during development and minified output for byte-size and performance checks.

• Enterprise-ready: logs become valid XML for systems that only ingest XML.
• Always well-formed: escaping and tag-name sanitization guarantee parseable output, every time.
• Structure preserved: fields, levels and timestamps survive as structured data, not flat text.
• Consumer configurable: element or attribute styles, custom root and entry tag names that are honored everywhere.
• Readable or compact: pretty output for review, minified for pipelines.
• Nothing silently dropped: unparsable lines are reported, not discarded.
• Private by design: data is processed locally and never uploaded.