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DEVELOPER BENCH
Parse a comma-separated table with a header row, supporting quoted fields and doubled quote escapes, then return an array of row objects.
WHAT THIS DOES
Runs entirely in your browser.
/tools/csv-to-jsoncsv-to-jsonv4.0.0LOCAL · LOCAL RUNIMPLEMENTED — This workbench is functional in the current release.Presets for this workbench
No preset yet. A preset stores the values in this form — never the result — and only for workbenches that run entirely in your browser.
Collections
Saved on this device only. Turn on sync to carry them to another device.
BATCH / ONE VALUE PER LINE
Up to 200 lines, one at a time, in this browser. Each line takes the place of csv and everything else stays as you set it. Nothing is uploaded, and the row limit is not exceeded silently.
METHOD / LOCAL RUN
A local CSV state machine parses rows and quoted cells. The first row becomes property names for subsequent row objects.
Boundary: This converter expects comma-separated text and a header row. It does not infer types, accept malformed quote sequences, or validate a target schema.
The calculation or transformation runs in your browser using the values entered above. No input is sent to UtilityForge for this tool.
EXAMPLES / LOCAL RUN FIXTURES
FAQ
This converter expects comma-separated text and a header row. It does not infer types, accept malformed quote sequences, or validate a target schema.
No. This published tool runs locally in your browser. UtilityForge does not send the values entered in this workbench to a server.
No. This workbench runs in the page: CSV input are read by the code your browser already downloaded, and UtilityForge receives neither the values nor the result.
Yes, and it is enforced rather than advertised: CSV input (100,000 characters). The limit is a browser input limit on a tool that runs on this device, so nothing is truncated after being sent anywhere.
RELATED TOOLS
LOCAL — Runs entirely in your browser.
COMMON USE CASES / SOURCE NOTE
Last reviewed:
Source information: Local CSV character parsing and JSON serialization; no file upload, schema service, or type inference is used.