Paste a top-level JSON array (e.g. [{"id":1,"name":"Alice"},...])
FILTER CONDITIONS
Ready to filter
Paste JSON, add conditions, click Apply// keep only matching objects from json arrays
Filter JSON arrays by field conditions instantly. Keep only matching objects using equals, contains, greater than, and more filter rules — free, browser-based.
Paste a top-level JSON array (e.g. [{"id":1,"name":"Alice"},...])
Ready to filter
Paste JSON, add conditions, click ApplyInput must be a top-level array of objects in the left textarea.
Click "Add Condition", enter a field name (supports dot notation like user.role), pick an operator, and enter a value.
AND keeps objects matching ALL conditions; OR keeps objects matching ANY condition.
Click Apply Filters to see matched objects. Copy or download the result.
Access nested keys with dots: address.city, meta.tags
JSON Array Filter lets you query any JSON array using field-based conditions — like a WHERE clause for your JSON data. No code, no server, no login required.
All processing happens in your browser. Nothing is ever sent to a server.
The tool requires a top-level JSON array — an array of objects, e.g. [{"id":1,...},{"id":2,...}]. Nested arrays inside objects are supported for reading values but the top level must be an array.
Enter the field path using dots to separate levels. For example, if your object has {"user":{"role":"admin"}}, enter user.role as the field name to filter on that nested value.
No — string comparisons (equals, contains, starts with, ends with) are all case-insensitive. Only the regex operator uses the /i flag by default, so regex matches are also case-insensitive.
Yes. Add as many conditions as you need. Use AND mode to keep objects that match every condition simultaneously, or OR mode to keep objects that match at least one condition.
The exists operator returns objects where the specified field is present (even if its value is null, false, or 0). The not exists operator returns objects where the field is missing entirely.
The >, >=, <, and <= operators convert both the field value and the comparison value to floats before comparing. Non-numeric field values will not match numeric conditions.
No. All filtering is processed client-side in JavaScript directly in your browser. No data leaves your machine. The PHP API endpoint is only used as a fallback and is not called in the default flow.
Because everything runs in the browser, performance depends on your device. JSON arrays up to several thousand objects typically process instantly. Very large files (hundreds of thousands of objects) may cause the browser to pause briefly during parsing.
A JSON Array Filter is a tool that lets you query a JSON array and extract only the objects that match specific field conditions — similar to a SQL WHERE clause, but for JSON data. Instead of writing code or installing a library, you define your conditions visually and get filtered results instantly.
This is especially useful when working with API responses, exported datasets, config files, or any structured JSON that contains a list of records you need to narrow down. With field-based filtering, you can isolate the exact subset of data you need without modifying your source files or writing a single line of code.
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At its core, JSON array filtering iterates over each object in the array and evaluates one or more conditions against that object's fields. If an object satisfies the conditions (depending on whether you're using AND or OR logic), it is included in the output. Objects that don't satisfy the conditions are discarded.
In JavaScript, the equivalent operation is array.filter() combined with conditional checks on object properties. Our tool wraps this logic in a clean visual interface so you can work with JSON data the way a developer would query a database.
The tool supports fifteen operators covering string matching, numeric comparison, existence checks, and even regular expressions — covering the vast majority of real-world filtering scenarios without requiring you to know any programming language.
Here is a breakdown of every operator available in the JSON Array Filter tool and when to use each one:
role = "admin" or status ≠ "inactive".contains to find objects where a string field includes a given word or phrase anywhere within it.When you add multiple conditions, you need to choose how they interact. AND logic means all conditions must be true simultaneously — use this when you want to narrow results to a precise intersection. OR logic means at least one condition must be true — use this when you want a broader union of results.
For example, if you have employee records and you want senior administrators in a specific region, you would use AND to combine role = "admin" AND region = "west" AND years_experience >= 5. If instead you want any administrator OR any record in the west region, you would use OR.
Real-world JSON is often deeply nested. A user record might contain an embedded address object with its own city, state, and country fields. Rather than requiring you to flatten your JSON first, the tool supports dot notation for accessing nested properties.
For instance, given the structure {"user": {"profile": {"city": "Austin"}}}, you can target the city field by entering user.profile.city as your field name. This works at any depth level and makes it practical to filter against complex API response structures without any preprocessing.
JSON array filtering is useful across a wide range of development and data tasks. Some common scenarios where this tool saves time include:
not exists or is empty operators.All filtering in this tool runs entirely in your browser using JavaScript. Your JSON data is never transmitted to any server, stored in any database, or logged anywhere. This makes the tool safe to use with sensitive data, internal API responses, or proprietary datasets — just be sure not to share the URL with others if you've pasted sensitive data into the input field, since some browsers may retain form state.
For one-off tasks and smaller datasets, a browser-based tool like this is ideal. However, for production pipelines or very large JSON files, you may want to use purpose-built tools. jq is a command-line JSON processor that handles filtering, transformation, and aggregation with a concise query language. For server-side work, JavaScript's native Array.prototype.filter() combined with JSON.parse() is trivially simple to implement. If your data lives in a database, exposing a filtered endpoint via a SQL query or a MongoDB-style query with $match is usually the right long-term solution.
For ad-hoc exploration and quick data work, though, a visual filter tool with no setup required gets you to answers faster than any of the alternatives above.