Data Conversion Tools

Q: Will CSV to JSON preserve quoted fields?

Yes. The CSV parser respects double-quoted fields, escaped quotes, and embedded commas, so values that contain delimiters or line breaks are kept intact when converted to JSON strings.

Q: How does XML to JSON handle attributes?

Element attributes are emitted under a dedicated key alongside the element value, so attribute information is preserved instead of silently dropped. Mixed content elements with both text and child nodes round-trip cleanly.

Q: Is YAML to JSON lossless?

For data, yes. YAML constructs that JSON cannot represent (comments, anchors, multi-document streams) are normalized to their data-equivalent during conversion. Use the converter for content, not for round-tripping authoring metadata.

Q: Are these converters safe for sensitive data?

Yes. Every converter runs entirely in the browser. CSVs, configs, schemas, and SQL output never leave the device.

Q: What is a reasonable file size limit?

The converters handle multi-megabyte payloads comfortably on a typical device. Very large datasets may run faster on a desktop browser than on mobile because parsing happens locally.

Choose the converter that matches your source format, destination format, and cleanup workflow instead of starting from a generic tools list.

Conversion pages tend to compete when every title looks like a minor variation of JSON or CSV. This hub groups them by source format and destination format so each page can target its own workflow.

Decision tree: which converter do I need?

Skim the questions below and stop on the first match.

Have CSV, need JSON? Use CSV to JSON. Read Convert CSV to JSON in Python if you want the script-based version.
Have JSON, need CSV for a spreadsheet? Use JSON to CSV.
Have XML payloads or SOAP responses? Use XML to JSON or JSON to XML. Parse XML to JSON in JavaScript covers the script flow.
Working with config or CI files? Use YAML ↔ JSON for Kubernetes, GitHub Actions, and similar tooling.
Have SQL output? Use SQL to JSON. Export SQL Query Results to JSON shows the typical workflow.
Have a table on a web page or in markdown? Use HTML Table to JSON or Markdown Table to JSON.
Have TSV from a spreadsheet export? Use TSV to JSON.

How these converters actually differ

Tabular vs structured markup

CSV, TSV, HTML tables, and markdown tables are flat: one row per record. XML, YAML, and JSON are nested: each value can hold more values. Picking the right page first saves a lot of cleanup later.

Bidirectional vs one-way

YAML and JSON round-trip cleanly because both represent the same underlying data model. XML round-trips with caveats because attributes, namespaces, and mixed content do not have one-to-one JSON equivalents.

Source-driven vs destination-driven workflows

Start from the source format when cleanup is the hard part (quoted CSV fields, namespaced XML). Start from the destination format when you are preparing exports for a fixed downstream system.

Most-used converters

CSV to JSON

Turn spreadsheet-style rows into JSON arrays for APIs, fixtures, and browser tools.

JSON to CSV

Flatten JSON arrays into rows for export, auditing, and quick spreadsheet review.

XML to JSON

Move XML payloads into a JSON workflow without leaving the browser.

JSON to XML

Generate XML from structured JSON when a downstream system expects tags, not objects.

YAML ↔ JSON

Switch between YAML and JSON for config files, CI pipelines, and Kubernetes manifests.

SQL to JSON

Convert query results or hand-written SQL output into browser-friendly JSON arrays.

Table-oriented input

Structured markup conversion

Related guides

The conversion guides below walk through the workflow before linking to the matching tool page.

Frequently asked questions

Will CSV to JSON preserve quoted fields?

Yes. The parser respects double-quoted fields, escaped quotes, and embedded commas, so values with delimiters or line breaks stay intact.

How does XML to JSON handle attributes?

Attributes are kept under a dedicated key alongside the element value, so XML attribute data is preserved instead of silently dropped.

Is YAML to JSON lossless?

For data, yes. YAML-only constructs such as comments and anchors are normalized to their data-equivalent. Use the converter for content, not for round-tripping authoring metadata.

Are these converters safe for sensitive data?

Yes. Every converter runs in the browser. CSVs, configs, schemas, and SQL output never leave the device.

What is a reasonable file size limit?

Multi-megabyte payloads work comfortably on most devices. Very large files run faster on a desktop browser because parsing happens locally.