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Testing

Testing Methodology

How the browser tools on Merge JSON Files are tested, and how editor, extension, file-format, and developer-tool recommendations are reviewed.

How our browser tools are tested

Every file tool on this site runs in your browser. Each one is checked in the same ways:

  • Sample files: each tool ships with sample files that exercise its main options, and the output is checked against them after changes.
  • Automated tests: the site's test suite checks every tool page and runs format-specific tests. For example, merged Word files are validated for broken relationships, duplicate IDs and missing styles, and the EPUB and large-text tools have their own test suites.
  • Published standards: output is written to the format specifications linked at the bottom of each tool page, such as RFC 8259 for JSON or ECMA-376 for Word and Excel files.
  • Documented limits: file-size and file-count limits stated on a tool page come from the code that enforces them.

How reviews are approached

Editor and software guides are reviewed against practical workflows, not just feature lists. The goal is to recommend tools that help with real file-format work: viewing, validating, formatting, editing, converting, and debugging.

Review criteria

  • Installation and setup friction
  • Formatting and minification behavior
  • Syntax validation and error messages
  • Schema support where the format commonly uses schemas
  • Large-file handling and responsiveness
  • Privacy and whether files can stay local
  • Offline use, export options, and workflow fit
  • Pricing, license model, and free-tier usefulness
  • Official documentation quality and update activity

How proof blocks work

Review articles may show a visible proof block with the content cluster, primary format, tested-on workflow, and last-tested date. Those fields come from article frontmatter and are updated when the page receives a real review or material refresh.

Scope limitations

Some articles compare tools across multiple operating systems or editor ecosystems. In those cases, the recommendation is based on representative workflows and current public documentation, then refined when hands-on screenshots or deeper tests are added.