Data Workshop
One place for every tool in Data Workshop.
CSV, JSON and tables.
9 free toolsNo sign-up requiredWorks on any deviceYour files stay with you
Explore Data Workshop below and find the right tool for your task.
Tools in Data Workshop
0 tools · 9 plannedGrouped by the job you came to do. 0 are live now; the rest are in build and marked Soon.
Tables & records
Read, reshape and clean tabular data.9 toolsCSV to JSONSoonHeaders become keys, with types guessed sensibly and quotes handled properly.CSVJSON to CSVSoonFlatten an array of objects into a spreadsheet-ready table.JSONCSV viewerSoonRead a messy CSV as an aligned table, with the row and column counts confirmed.CSVCSV cleanerSoonDrop duplicate rows, trim every cell and remove the empty columns Excel leaves behind.CSVCSV sorterSoonSort by any column, as text or as numbers, header row kept in place.CSVCSV to SQLSoonINSERT statements with values quoted and escaped the way the database expects.CSVJSON to YAMLSoonReadable YAML with proper indentation, for config files and CI pipelines.JSONYAML to JSONSoonTurn a config file back into JSON, with the limits stated rather than guessed.YAMLJSON Lines converterSoonBoth directions, for log pipelines and bulk import formats that need one object per line.JSON ↔ JSONL
About Data tools
How big a file can I paste?
A few megabytes of text is comfortable. Beyond that the browser slows down; that is a limit of pasting rather than of the conversion itself.
Does the CSV parser handle quoted commas?
Yes — quoted fields, escaped double quotes inside them, and empty trailing cells all parse correctly. Line breaks inside quoted fields are the one case still on the list.
Other habitats
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