Prisma SpaceAI WORKSPACE
SOLUTION · PRISMA SPACE

Review and convert CSV, JSON, and Excel data

A table file may appear correct but still contain duplicate headers, empty rows, unexpected delimiters, or inconsistent value formats. Before converting, it's a good idea to inspect the structure and confirm that the output preserves the fields you need.

Complete the task step by step

  1. 1

    Inspect the original file

    Review headers, delimiters, empty rows, and values that mix numbers, dates, and text. Do not delete columns without confirming their use.

    Open CSV Audit ↗
  2. 2

    View statistics

    Check the number of rows, columns, and values reported by the tool to detect obvious anomalies.

    Open CSV Statistics ↗
  3. 3

    Convert to the necessary format

    Choose CSV to JSON or JSON to CSV according to the target application. If working with Excel, use the specific converter and review the resulting book.

    Open CSV to JSON Conversion ↗
  4. 4

    Validate the output

    Compare a sample of records with the original file and verify that no leading zeros, accents, or separators have been lost.

    Open JSON to CSV Conversion ↗

Common questions

Is CSV the same format as Excel?

No. CSV stores tabular text with delimiters; an Excel book can include multiple sheets, formulas, styles, and other elements.

Does the conversion validate data quality?

No. The conversion changes the representation; you must review fields, types, duplicates, and required values.