JSONPath query

Find one JSON value—or every value that matches.

Data workspace

Ready in this tab

Source

0 B Processed locally
Import settingsAuto-detect enabled
JSON text

Overrides apply on the next analysis. File decoding and every transform run only in this tab.

Paste data or choose a file to begin.

Analysis results

Analysis canvas

Ready when you are.

  1. Add a local file or paste data.
  2. Analyze format, quality, and likely sensitive fields.
  3. Review, clean, and export the in-tab working copy.
01 / Parse

Know the shape of the data.

Detect delimiters, validate structured text, and surface useful error locations.

02 / Review

Spot quality and privacy risks.

Measure completeness, duplicates, mixed values, and likely identifiers before sharing.

03 / Prepare

Shape a working copy locally.

Filter, sort, select, rename, deduplicate by keys, validate schemas, and export without changing the original file.

Focused utilities

Start with the job in front of you.

Every route opens the same private engine with guidance tailored to that format.

Practical guide

Use JSONPath for sets and JSON Pointer for one location

JSONPath produces a list of matching nodes; JSON Pointer identifies one exact location. The query results show normalized paths beside value previews so you can inspect what matched before copying the JSON array or using it as an undoable dataset.

  • 01Analyze a JSON document and open the JSON tab.
  • 02Run an RFC 9535 query against the original document or working records.
  • 03Review normalized paths and previews for up to 200 displayed matches.
  • 04Copy all bounded matches or use them as the undoable working dataset.
What is the difference between JSONPath and JSON Pointer?

JSONPath can select multiple nodes with wildcards, slices, descendant selectors, and filters. JSON Pointer identifies one exact node using slash-separated reference tokens.

Does Parse The Data upload my files?

No. Parsing, profiling, cleanup, and export run inside your browser tab. The application does not send dataset contents to our server or any third party.

What file types are supported?

CSV, TSV, JSON, and JSON Lines (JSONL or NDJSON) are supported as pasted text or local files up to 10 MB. CSV files can also be decoded as UTF-8, UTF-16, or Windows-1252.

Can it detect every privacy risk?

No. The privacy scan uses deterministic patterns and column-name hints. It can find common emails, phone numbers, IP addresses, SSNs, and payment-card patterns, but it is not a substitute for a formal privacy review.

Designed for restraint

The server delivers the tools. Your dataset stays in the browser.

The app files arrive first. Parsing, profiling, and cleanup then happen in a browser worker on your device. The dataset has no upload path.

  • No accounts
  • No cloud storage
  • No third-party scripts

Use the PII scan as an early warning—not as legal advice or a compliance certification.