Convert CSV to JSON and JSON arrays back to CSV — with a live table preview, delimiter options, validation, statistics and export to JSON/CSV/TSV/XML/XLSX. 100% local — nothing is uploaded.
Drop a .csv file here or click to choose
Convert CSV to JSON and JSON arrays back to CSV, switching in one click.
See your parsed data as a scrollable table before you export a single byte.
Detects commas, semicolons, tabs or pipes automatically — or set your own.
Treat the first row as column names, or generate keys automatically.
Trim spaces, skip empty rows and auto-detect numbers and booleans.
Invalid JSON is caught with a clear error so you can fix it fast.
Optionally flatten nested objects into dotted column names for CSV.
Rows, columns, empty cells, duplicate rows, processing time and size.
Download as JSON, CSV, TSV, XML or XLSX — or copy the result.
Powered by a battle-tested CSV parser that handles quotes and commas in values.
All parsing runs in your browser. Nothing is uploaded, logged or tracked.
Keyboard navigation, ARIA labels, high-contrast support and a responsive layout.
The ApneSoftware CSV ↔ JSON Converter is a professional, privacy-first utility for moving tabular data between the two formats that dominate everyday computing: CSV and JSON. CSV — comma-separated values — is the lingua franca of spreadsheets, exports and data feeds: a simple, row-and-column text format that Excel, Google Sheets, databases and countless business systems can read and write. JSON — JavaScript Object Notation — is the standard for APIs, configuration and modern applications, representing the same information as structured objects and arrays. Data constantly needs to cross between these two worlds — a spreadsheet export that a program must consume, or an API response that a colleague wants in Excel — and doing it by hand is tedious and error-prone. This tool makes the round trip instant, accurate and completely private.
Converting from CSV to JSON sounds trivial until you meet real data. Fields contain commas inside quotes, values are wrapped in quotation marks, rows have trailing whitespace, some lines are blank, and the delimiter is not always a comma — European exports often use semicolons, and other systems use tabs or pipes. A naive split-on-comma breaks on all of these. This converter is built on a robust, battle-tested CSV parser that handles quoted fields, escaped quotes, embedded delimiters and mixed line endings correctly, so the JSON you get out is faithful to the data you put in. You can treat the first row as headers to produce an array of named objects, or turn that off to get plain arrays; auto-detect the delimiter or choose it explicitly; trim surrounding spaces; skip empty rows; and let the tool infer types so that numbers and booleans become real JSON numbers and booleans rather than strings.
Going the other way, from JSON to CSV, the tool takes an array of objects (or a single object) and flattens it into clean, spreadsheet-ready rows, automatically working out the full set of columns even when different objects have different keys. It validates your JSON first and, if something is wrong, shows the exact parser error so you can find the stray comma or missing bracket immediately instead of guessing. You can pick the output delimiter — comma, semicolon, tab (for TSV) or pipe — and optionally flatten nested objects so that a structure like {"user":{"name":"Ravi"}} becomes a user.name column, which is exactly what you need to open API data in a spreadsheet.
What sets this converter apart is the live table preview. Rather than dumping raw text and hoping it parsed correctly, the tool renders your data as an actual scrollable table the moment you convert, so you can see the columns, spot a misaligned row, and confirm the delimiter was right before you trust the output. Alongside it, a statistics panel summarises the dataset at a glance: the number of rows and columns, how many empty cells it contains, how many duplicate rows exist, the processing time, and the approximate data size. These small signals catch big mistakes — a column count that is double what you expected usually means the wrong delimiter, and a surprising duplicate count often reveals a bad export.
Because converted data rarely stops at one format, the tool offers flexible export. You can copy the result to the clipboard, download it in its native format, or export the same dataset as JSON, CSV, TSV, XML or XLSX — so one paste can feed a spreadsheet, a database import, a config file and an API test without repeating the work. Sample data is one click away to help you learn the format or test an integration, and the interface is fully responsive, collapsing cleanly from a wide desktop layout to a single-column mobile view with touch-friendly controls and drag-and-drop file upload.
Privacy is fundamental. Many online converters upload your file to a server to process it — a serious concern when the data is customer records, financial exports or anything confidential. This tool never does that. Your CSV and JSON are parsed and converted entirely in your browser; nothing is uploaded, there is no account, and nothing about your content is logged or tracked. Because all processing is local, it also works offline once loaded, and it follows accessibility best practices with keyboard navigation, ARIA labelling, visible focus outlines and high-contrast support. In short, it is a fast, accurate, genuinely private data-conversion workbench — robust enough for messy real-world files, simple enough for a quick one-off — that runs entirely on your own machine.
ApneSoftware CSV ↔ JSON Converter tabular data को रोज़मर्रा की computing पर हावी दो formats — CSV व JSON — के बीच ले जाने के लिए एक professional, privacy-first उपयोगिता है। CSV — comma-separated values — spreadsheets, exports व data feeds की साझा भाषा है: एक सरल, row-and-column text format जिसे Excel, Google Sheets, databases व अनगिनत business systems पढ़-लिख सकते हैं। JSON — JavaScript Object Notation — APIs, configuration व आधुनिक applications का मानक है, जो वही जानकारी structured objects व arrays के रूप में दर्शाता है। Data को लगातार इन दो दुनियाओं के बीच जाना पड़ता है, और इसे हाथ से करना थकाऊ व त्रुटि-प्रवण है। यह टूल यह आवागमन तुरंत, सटीक व पूरी तरह निजी बनाता है।
CSV से JSON में बदलना तब तक आसान लगता है जब तक असली data न मिले। Fields में quotes के अंदर commas होते हैं, values quotation marks में लिपटी होती हैं, rows में trailing whitespace होता है, कुछ lines खाली होती हैं, और delimiter हमेशा comma नहीं होता — यूरोपीय exports अक्सर semicolons उपयोग करते हैं, अन्य systems tabs या pipes। एक सरल split-on-comma इन सब पर टूट जाता है। यह converter एक मज़बूत, परखे हुए CSV parser पर बना है जो quoted fields, escaped quotes, embedded delimiters व mixed line endings सही ढंग से संभालता है। आप पहली row को headers मान सकते हैं, delimiter auto-detect कर सकते हैं या स्वयं चुन सकते हैं, spaces trim कर सकते हैं, खाली rows skip कर सकते हैं, और numbers व booleans को असली JSON मानों में बदल सकते हैं।
दूसरी दिशा में, JSON से CSV, टूल objects की एक array (या एक object) लेकर उसे साफ़, spreadsheet-तैयार rows में समतल करता है, और अलग objects में अलग keys होने पर भी columns का पूरा सेट स्वतः निकालता है। यह पहले आपका JSON validate करता है और कुछ ग़लत होने पर सटीक parser error दिखाता है ताकि आप तुरंत भटकी comma या गायब bracket ढूँढ सकें। आप output delimiter चुन सकते हैं — comma, semicolon, tab (TSV के लिए) या pipe — और वैकल्पिक रूप से nested objects समतल कर सकते हैं ताकि {"user":{"name":"Ravi"}} जैसी संरचना एक user.name column बन जाए।
इस converter को जो अलग बनाता है वह है live table preview। raw text उगलने के बजाय, टूल convert करते ही आपके data को एक वास्तविक scrollable table के रूप में render करता है, ताकि आप columns देख सकें, किसी misaligned row को पकड़ सकें, और output पर भरोसा करने से पहले पुष्टि कर सकें कि delimiter सही था। साथ में एक statistics panel dataset का सार देता है: rows व columns की संख्या, कितने empty cells, कितनी duplicate rows, processing time, व अनुमानित data size। ये छोटे संकेत बड़ी ग़लतियाँ पकड़ते हैं।
चूँकि converted data शायद ही एक format पर रुकता है, टूल लचीला export देता है। आप परिणाम clipboard पर copy कर सकते हैं, उसके native format में download कर सकते हैं, या उसी dataset को JSON, CSV, TSV, XML या XLSX के रूप में export कर सकते हैं — ताकि एक paste एक spreadsheet, एक database import, एक config file व एक API test को खिला सके। Sample data एक click दूर है, और interface पूरी तरह responsive है, wide desktop layout से single-column mobile view तक साफ़ ढलता है।
Privacy मौलिक है। कई online converters आपकी file process करने के लिए server पर upload करते हैं — जब data ग्राहक records, वित्तीय exports या कुछ गोपनीय हो तो एक गंभीर चिंता। यह टूल कभी ऐसा नहीं करता। आपका CSV व JSON पूरी तरह आपके browser में parse व convert होते हैं; कुछ भी upload नहीं होता, कोई account नहीं, और आपकी सामग्री के बारे में कुछ log या track नहीं होता। सब कुछ local होने के कारण यह load होने के बाद offline भी काम करता है, और keyboard navigation, ARIA labelling व high-contrast समर्थन के साथ accessibility सर्वोत्तम प्रथाओं का पालन करता है। संक्षेप में, यह एक तेज़, सटीक, सचमुच निजी data-conversion workbench है।
| Concept | Notes |
|---|---|
| Header row | The first line usually names the columns (e.g. name,age,city). |
| Delimiter | Commas are standard, but semicolons, tabs and pipes are common too. |
| Quoting | Wrap a field in " quotes if it contains a comma or newline. |
| Escaped quotes | A literal quote inside a field is written as "". |
| Empty fields | Two delimiters in a row (a,,c) mean an empty value. |
| Line endings | Rows end with a newline; both \n and \r\n are accepted. |
| Concept | Notes |
|---|---|
| Array of objects | Tabular data maps to [{...},{...}] — one object per row. |
| Keys & values | Object keys become columns; values must be quoted strings, numbers, booleans or null. |
| Double quotes | JSON keys and strings must use ", never single quotes. |
| No trailing commas | A comma after the last item is invalid JSON. |
| Nested objects | Values can themselves be objects/arrays; flatten them for CSV. |
| Pretty vs minified | Indentation is for humans; minified JSON is smaller for transport. |
| CSV | JSON |
|---|---|
name,age | [{"name":"Ravi","age":25}] |
a;b;c (semicolon) | [{"a":1,"b":2,"c":3}] |
"Doe, John",NY (quoted comma) | [{"0":"Doe, John","1":"NY"}] |
user.name,user.city | [{"user.name":"Ravi","user.city":"Jaipur"}] |