Keywords to JSON array: a safe no-upload workflow
Keyword lists are valuable research. Treat them like sensitive data: don’t paste them into random “online” tools that upload content to a server. Convert locally instead.
Why keyword lists are sensitive
A list can reveal product plans, customer segments, or campaign strategy. Uploading it to third-party sites creates unnecessary exposure. A local converter keeps the list on-device.
Cleaning checklist
- Trim whitespace and remove empty lines.
- Decide whether to dedupe (often yes for ad groups/lists).
- Keep strings as-is (don’t “normalize” punctuation unless your pipeline requires it).
Export formats that work
A JSON array of strings is widely compatible: configs, scripts, local storage, and many APIs. If you need pairs (keyword + tag), keep CSV and convert to JSON objects.
Practical checklist (fast)
If you’re stuck, use this quick checklist to narrow the problem before you try “random fixes”. Start by validating the input format (syntax first), then confirm shape expectations (array vs object, headers vs rows). Convert a small sample, inspect the output, and only then export the full result.
- Validate: confirm the input is strict JSON/XML/CSV (no stray characters).
- Confirm shape: arrays vs objects; headers vs row lengths; repeated tags vs arrays.
- Test a sample: first 20–50 rows/items are enough to detect parsing issues.
- Export: copy/download the output and re-check it in the consumer (script/spreadsheet/API).
This workflow is privacy-first by design: All processing happens locally in your browser. Files are never uploaded.
Practical checklist (fast)
If you’re stuck, use this quick checklist to narrow the problem before you try “random fixes”. Start by validating the input format (syntax first), then confirm shape expectations (array vs object, headers vs rows). Convert a small sample, inspect the output, and only then export the full result.
- Validate: confirm the input is strict JSON/XML/CSV (no stray characters).
- Confirm shape: arrays vs objects; headers vs row lengths; repeated tags vs arrays.
- Test a sample: first 20–50 rows/items are enough to detect parsing issues.
- Export: copy/download the output and re-check it in the consumer (script/spreadsheet/API).
This workflow is privacy-first by design: All processing happens locally in your browser. Files are never uploaded.
FAQ
Should I keep case? Keep original case unless you have a strong reason. Case can matter for matching/reporting.
Can I share the output safely? Share only what you intend—JSON is still the same data, just re-encoded.
Trust note: All processing happens locally in your browser. Files are never uploaded.
Local verification snippet
Run a quick local check before export/convert:
const text = input.trim();
const value = JSON.parse(text);
console.log(Array.isArray(value) ? 'array' : typeof value);