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JSON to TypeScript

Generate a TypeScript interface from a JSON object.

Related tools

All JSON, XML & formats tools →
CSV to JSON converterParse CSV text (with header row) into a JSON array of objects, handling quoted fields. Drop a file in rather than pasting it — it is read in your browser and never uploaded.JSON comment removerStrip // and /* */ comments from JSONC to make it valid JSON. Drop a file in rather than pasting it — it is read in your browser and never uploaded.JSON flattenerFlatten a nested JSON object into one level of path keys — and put it back together again. Arrays are indexed as user.roles[0] or user.roles.0, values keep their type, and an empty object stays visible as {}. Takes a whole file, so a long log does not have to go through the clipboard.JSON formatterFormat, beautify or minify JSON — with instant validation.JSON keys extractorList all the keys of a JSON object as dot-notation paths. Works on a pasted block or on a file you drop in.JSON Schema generatorTurn a sample of JSON into a JSON Schema. Paste an object, an array or newline-delimited records and it infers the types, properties and array shapes, merges the fields seen across objects into a required list, and recognises common string formats — email, URL, UUID, date and date-time — across Draft 2020-12, 2019-09 or Draft-07.JSON key sorterSort the keys of a JSON object alphabetically at every level. Arrays keep their order, values keep their exact form — even a 20-digit id — and a syntax error says where it is. Paste the text or drop the file; nothing leaves the page either way.JSON to CSV converterTurn a JSON array of objects into comma-separated values with a header row. Takes a whole file, so a long log does not have to go through the clipboard.

Open JSON to TypeScript and you get an answer straight away, with no account to create. Its place is under JSON, XML & formats; CSV to JSON converter and JSON comment remover answer the questions closest to this one.

How to use it

  1. Open the tool — no signup or install needed.
  2. Enter your input or adjust the available options.
  3. Get your result instantly, then copy or download it.

Frequently asked questions

What is JSON to TypeScript?

Generate a TypeScript interface from a JSON object.

When would I actually use this?

Making a machine-generated blob readable, finding the character where a parse fails, and shrinking a file before it ships.

What is the most common mistake?

Assuming valid means correct. A document can parse cleanly and still have the wrong shape for whatever will read it — validation checks the syntax, not the schema.

How is JSON to TypeScript different from CSV to JSON converter?

They sit next to each other but answer different questions: CSV to JSON converter is the one to open when you need it to parse CSV text (with header row) into a JSON array of objects, handling quoted fields. Drop a file in rather than pasting it — it is read in your browser and never uploaded. Pick whichever matches what you're starting from — both are free.

Is there a tool for the next step?

JSON comment remover is the closest one after this: Strip // and /* */ comments from JSONC to make it valid JSON. Drop a file in rather than pasting it — it is read in your browser and never uploaded.

What else is worth having open alongside it?

JSON flattener and JSON formatter — they come up in the same task often enough to be worth a second tab.

Where do the figures come from?

Parsing and serialisation follow each format's specification. Key order and whitespace are not semantically meaningful in JSON or YAML, so a reformatted document is equivalent even when the bytes differ.

Further reading

All guides →
ExplainerJSON Is Simpler Than You Think, and That Is the ProblemJSON has no integer type, no date type, no comments and no schema. Every one of those absences produces a specific bug: a 19-digit ID comes back off by 21, a timestamp becomes a string nobody agreed on, NaN cannot be written down, and duplicate keys are legal. All of it run, in two languages.GuideSQL Formatting and the IN Clause That Breaks ProductionBuilding an IN list by string concatenation is both the classic injection vector and a performance cliff. Parameterisation fixes the first structurally, because the plan is compiled before any value arrives. The second needs arithmetic: the vendors' documented parameter ceilings, and what a query whose text changes with every list length does to a plan cache.ExplainerCSV to JSON: The Five Cases That Break Every ConverterQuoted delimiters, embedded newlines, ambiguous types, duplicate headers and encoding. Each one was run through the converter and the exact output is printed here — including the two cases it does not rescue.How-toHow to Convert JSON to CSV: Flattening Arrays of Objects into Rows and ColumnsA practical guide to turning a JSON array of objects into a clean CSV file, including how to flatten nested fields and handle the tricky edge cases.ExplainerJSON to CSV When the Structure Is Nested: Why There Is No Right AnswerThe same two orders come out as five columns from one converter and ten from another, and neither is wrong. Dotted paths, arrays of scalars, arrays of objects and records with different keys — four decisions, made for you, usually silently.ExplainerXML to JSON: Attributes, Repetition, and the Single-Element Array TrapTwo documents that differ only in how many children exist produce two different JSON shapes, and no converter can tell them apart without a schema. Plus what this one really does with attributes, mixed content and whitespace — and the one thing it still cannot record.