CSV and JSON operations
Choose a CSV and JSON conversion approach
By Tool Factory. Published .
Choose the approach from file sensitivity, data shape, repetition, and verification needs.
| Approach | Useful fit | Checks required |
|---|---|---|
| Browser tool | One bounded conversion with visible controls. | Verify declared processing, format limits, output rows, and types. |
| Spreadsheet | A reviewer needs visible rows and manual corrections. | Use text columns for identifiers. Check date inference and formula handling. |
| Script | A team repeats the same rules across files. | Document dependencies, encoding, schema, errors, and repeatable tests. |
When does browser conversion fit?
You can review the complete input and output. You know the delimiter and header policy. Your data fits the tool limits. Verify the page's processing statement before supplying sensitive records.
When does a spreadsheet fit?
You need row inspection or collaborative correction. Import identifiers as text. A spreadsheet's import settings determine behavior; this guide measures no spreadsheet product.
When does a script fit?
You need repeatability, scheduled processing, explicit typing, or controlled failure handling. A script still requires tests and ownership.
What counts as a successful conversion?
Record expected row counts, field names, identifier formats, null rules, and destination requirements. Test an edge-case sample before converting the full file.
Inspect the eight-case evidence. Read the spreadsheet comparison, cost method, and implementation steps.