Check JSON syntax, structure, and potential risks in real time. Includes error navigation, warnings, statistics, and exportable validation reports, all processed locally with no login required.
इस टूल को बुकमार्क करने के लिए Ctrl/Cmd+D दबाएं
JSON इनपुट
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वैलिडेशन परिणाम
JSON वैलिडेट करना शुरू करें
वैलिडेशन परिणाम देखने के लिए JSON दर्ज करें
ऑनलाइन JSON कैसे वैलिडेट करें – चरण‑दर‑चरण गाइड
1स्टेप 1 – JSON को validator में पेस्ट या इम्पोर्ट करें2स्टेप 2 – वैलिडेशन परिणाम देखें3स्टेप 3 – त्रुटियाँ ठीक करें और फिर से वैलिडेट करें4स्टेप 4 – वैलिडेशन रिपोर्ट एक्सपोर्ट करें
इस ऑनलाइन JSON validator से real‑time में JSON syntax, structure और data integrity जाँचें, और errors, warnings व statistics देखें।
Find the problem before guessing at the fix
The validator does more than say invalid - it shows what broke and where
A lot of JSON does not just look messy; it is actually unparseable. The validator is useful because it tells you where the JSON breaks, what kind of issue it is, and whether there are broader structural risks that matter downstream.
JSON to validate
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{
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"orderId":"SO-1024"
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"items":[
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{
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"sku":"A-1",
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"qty":2,
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}
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]
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}
Validation feedback
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Error 1
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Line 3, Column 3: Expected "," or "}"
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.
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Error 2
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Line 7, Column 5: Trailing comma is not allowed
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.
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Statistics
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Objects:2
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Arrays:1
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Max Depth:3
When there are multiple errors in the same payload, scan the full list first, then decide whether to fix it manually or send it to Repair JSON.
3 validator examples that match real work
These examples cover the most common validation scenarios in development, testing, and operations: API responses, configuration files, and log payloads.
API Debugging
Catch a missing comma in an API response immediately
Useful during API debugging, webhook testing, and response inspection when you need to know whether the backend returned malformed JSON or the payload was copied incorrectly.
अमान्य JSON (कॉमा गायब)
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{
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"user":{
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"id":42,
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"name":"Maeve"
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}
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"roles":["admin","editor"]
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}
वैलिडेशन परिणाम
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Error
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Line 6, Column 3: Expected "," or "}"
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.
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Suggestion
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Add a comma after the "user" object
This is exactly the kind of issue the validator handles best: mostly-correct JSON with one local syntax break.
Configuration
Spot trailing commas and comments before a deploy fails
A common problem is treating JavaScript object syntax as if it were valid JSON. The validator helps separate what JS allows from what strict JSON actually accepts.
अमान्य JSON (कॉमा गायब)
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{
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"env":"prod",
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"retry":3, // retry count
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"features":{
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"betaCheckout":false,
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}
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}
वैलिडेशन परिणाम
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Error
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Line 3, Column 15: Comments are not allowed in JSON
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Line 6, Column 3: Trailing comma is not allowed
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.
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Result
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Remove the comment and trailing comma
Running config through the validator before release is usually faster than debugging config failures in production.
Log Review
Use warnings and stats to catch structural risk even when JSON is valid
Some payloads parse successfully but are still risky because of depth, field shape, or payload size. Warnings and statistics help expose that early.
अमान्य JSON (कॉमा गायब)
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{
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"event":"audit",
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"payload":{
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"meta":{
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"trace":{
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"deep":{
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"nested":{
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"value":"..."
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}
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}
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}
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}
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}
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}
वैलिडेशन परिणाम
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Validation Result
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OK - JSON is valid
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.
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Warning
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Payload depth is high and may be harder to transform or inspect downstream
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.
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Statistics
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Objects:6
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Max Depth:6
Even when JSON is valid, warnings and stats can tell you that downstream processing will be more expensive.
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Tutorial Step
स्टेप 1 – JSON को validator में पेस्ट या इम्पोर्ट करें
Start by putting the raw JSON into the input editor. You do not need to clean it up first. One of the main benefits of the validator is catching syntax problems early instead of discovering them only after you send the data to an API or save it as configuration.
बाएँ editor में JSON पेस्ट करें, या “Import” से फ़ाइल, URL या clipboard से लोड करें।
आपके टाइप करते ही वैलिडेशन चलता रहता है—एक live JSON linter की तरह।
real API responses, config files या log snippets से शुरुआती चरण में ही issues पकड़ें।
Single-line JSON is fine. Monaco diagnostics and structural statistics still work without pre-formatting the input.
Validation updates as you type, so the page also works well as a lightweight live JSON linter.
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Tutorial Step
स्टेप 2 – वैलिडेशन परिणाम देखें
Most people only look at the first error message, but the faster approach is to read the errors panel, warnings panel, and statistics together. Errors tell you what is already broken, warnings tell you what may break later, and statistics tell you how complex the payload really is.
Errors सूची में parse issues देखें, जैसे missing commas, unclosed brackets या invalid escape sequences।
Warnings में deep nesting, बहुत बड़ी strings या संदिग्ध patterns पर ध्यान दें।
Statistics में object/array counts, maximum depth और कुल size देखें।
When a JSON file has multiple issues, do not stop after the first one. Scan the full list first so you can tell whether the problems are isolated or systemic.
If you need to hand the problem off to someone else, the report plus the diagnostics is much more useful than a screenshot alone.
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Tutorial Step
स्टेप 3 – त्रुटियाँ ठीक करें और फिर से वैलिडेट करें
The goal here is not to delete characters blindly. Use the location and context around each error to understand why the JSON broke. Most invalid JSON falls into a small set of patterns: missing commas, single quotes, comments, trailing commas, unmatched brackets, or nested JSON strings that need another pass.
किसी भी error या warning पर क्लिक करके उसी line और column पर जाएँ।
सामान्य fixes: missing commas जोड़ना, braces/brackets बंद करना, special characters को escape करना, या trailing commas हटाना।
अगर JSON बहुत खराब है, तो “Repair JSON” टूल में खोलकर common syntax issues को auto-fix करें।
When the file is heavily damaged or the error list is long, move to Repair JSON and let it fix common syntax issues before coming back for validation.
After the payload passes validation, scan the warnings and statistics again so you do not miss structural risks that survived syntax repair.
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Tutorial Step
स्टेप 4 – वैलिडेशन रिपोर्ट एक्सपोर्ट करें
Once the JSON is valid, it is ready for the rest of your workflow. Export a validation report if you need traceability, then move to the formatter, compare tool, schema generator, or table editor based on what you need next.
“Report” पर क्लिक करके सभी errors, warnings और statistics सहित JSON report डाउनलोड करें।
डिबगिंग, code reviews या API contract checks के लिए रिपोर्ट टीम के साथ शेयर करें।
रिपोर्ट में line numbers, messages और high-level recommendations शामिल होती हैं।
If you want to generate a schema, types, or review data in a table, validated JSON is a much more stable starting point.
Putting the validator at the beginning of the workflow usually saves rework later when debugging APIs, editing configs, or generating code.
A more reliable validator workflow
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Paste the rawest version of the JSON into the validator instead of pre-editing it first.
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Read the errors, warnings, and statistics together so you understand both syntax failures and structural risk.
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Fix small issues in place, but switch to Repair JSON when the payload is heavily damaged or the error list is long.
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Once the payload is valid, move it to the formatter, compare tool, or schema generator for the next stage of work.
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If you need to collaborate, export the report instead of sending screenshots so others can reproduce the problem faster.
Placing the validator at the start of your JSON workflow usually surfaces most downstream problems early, especially during API debugging, config review, and log analysis.
शुरुआती लोगों के लिए त्वरित सुझाव
अधिकांश अमान्य JSON missing commas, trailing commas या double quotes की जगह single quotes के कारण होता है।
अगर “JSON parse error” दिखे, तो संदेश में दिए गए line और column से शुरुआत करें।
APIs को भेजने या डेटाबेस में सेव करने से पहले JSON वैलिडेट करें ताकि runtime errors और broken payloads से बचा जा सके।
Before sending JSON to Repair, Compare, or Schema tools, a validation pass usually gives you a cleaner start.
संबंधित JSON वैलिडेशन व फ़ॉर्मैटिंग टूल्स
वैलिडेशन के साथ इन टूल्स को मिलाकर डेटा क्वालिटी बेहतर करें और JSON workflows को आसान बनाएं।
JSON वैलिडेशन यह जाँचता है कि आपका JSON सिंटैक्स के अनुसार सही है या नहीं, और साथ ही type count, nesting depth और payload size जैसी statistics भी दिखाता है।
मुझे किस तरह की त्रुटियाँ दिखेंगी?
सामान्य त्रुटियों में missing commas, unclosed braces/brackets, invalid escape sequences, trailing commas और malformed strings शामिल हैं।
चेतावनियाँ किस बारे में होती हैं?
Warnings संभावित जोखिम दिखाती हैं—जैसे बहुत गहरी nesting, अत्यधिक लंबी strings या असामान्य patterns—जो JSON वैध होने पर भी आगे समस्याएँ पैदा कर सकते हैं।
क्या मैं वैलिडेशन रिपोर्ट डाउनलोड कर सकता/सकती हूँ?
हाँ। “Report” से आप errors, warnings और statistics सहित एक JSON validation report डाउनलोड कर सकते/सकती हैं।
What is the difference between JSON validation and JSON repair?
Validation is for finding and explaining what is wrong, with precise locations and diagnostics. Repair is for automatically fixing common syntax problems. Use the validator when you want clarity; use repair when the JSON is too broken to fix efficiently by hand.
Can it handle large JSON files?
Yes. Typical API responses, config files, log snapshots, and medium-to-large JSON payloads work well. Larger payloads may take longer to analyze, but everything still runs locally in the browser.
Is my JSON uploaded anywhere?
No. Validation, diagnostics, and report generation all happen locally in your browser, which makes this page suitable for internal data, config values, and sensitive log payloads.
