Parse The Data
Local only

CSV cleaner

Clean a CSV without uploading it.

Data workspace

Ready in this tab

Source

0 B Processed locally

Paste data or choose a file to begin.

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

Clean a working copy locally.

Trim, deduplicate, mask, infer a schema, 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.

CSV cleanerProfile + clean tables JSON validatorValidate + inspect records JSONL converterPrepare streaming data Schema generatorInfer a data contract Delimiter detectorFind hidden separators PII scannerCatch obvious exposure

Practical guide

A safer CSV cleanup workflow

CSV looks simple until quoted commas, inconsistent row widths, formula-like cells, and mixed date formats reach a spreadsheet or database. This tool parses quoted fields, detects common delimiters, and shows the quality impact before you export.

  • 01Confirm the detected delimiter and row count.
  • 02Review missing cells, duplicate rows, and mixed column types.
  • 03Apply only the cleanup actions you understand.
  • 04Export CSV with spreadsheet-formula protection enabled.
How are dangerous spreadsheet formulas handled?

CSV exports prefix cells beginning with equals, plus, minus, or at-sign characters so spreadsheet software treats them as text rather than formulas.

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?

The first release supports CSV, TSV, JSON, and JSON Lines (JSONL or NDJSON), including pasted text and local files.

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 tool. It never receives the dataset.

Parsing runs in a separate browser thread. There are no accounts, upload endpoints, third-party scripts, advertising trackers, or cloud storage in the analysis path.

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