CSV files are how CRMs, banks, forms, and scripts exchange tables. They look simple until Excel mangles encoding, an importer rejects a workbook, or a 40,000-row dump has duplicate emails.
PaperStack CSV & Data tools let you view, convert, filter, sort, dedupe, and format tables in the browser. That matters because customer lists and payroll extracts should not go to a public “CSV cleaner” website.
Why data tools are useful
You often need a table you can trust before you import it somewhere else. A local viewer shows whether columns split correctly. A converter gives Excel to a manager or CSV to a developer. Filter and sort shrink the file to the rows you actually need. Duplicate Remover stops a mail merge from messaging the same person twice.
View and convert
CSV Viewer opens a file as a grid — the first thing you should do with any export. CSV → Excel builds an .xlsx for people who live in spreadsheets. Excel → CSV flattens a workbook for systems that only accept comma-separated text. JSON ↔ CSV is for API dumps and CMS exports when you do not want to write a script.
Clean the table
Table Filter keeps rows that match a column (one city, one status, one product). Column Sorter ranks amounts or alphabetizes names. Duplicate Remover drops repeated rows. Data Formatter standardizes dates, spaces, and messy values so the next import does not fail.
A practical order: view → format → filter → sort → dedupe → convert.
Who this is for
Students inspecting a class dataset. Operations teams preparing a CRM import. Developers turning JSON into a sheet a colleague can read. Store owners cleaning a product feed.
How to use CSV & Data tools
- Open https://paperstack.in/csv-data-tools/.
- Start with CSV Viewer if you do not yet know what is in the file.
- Clean, then convert to the format the destination system wants.
- Spot-check a few rows (dates, phone numbers, leading zeros) before you import.
Related guides
- Getting started with PaperStack
- How to Use CSV Viewer
- How to Use CSV → Excel
- How to Use Duplicate Remover
Dummy CSV files
Dummy CSV generates a valid table with the column and row count you choose — 3 × 1,000 by default, or 50,000 rows when you need to stress an importer. Leave the filename as testfile and you get dummy-1000-rows.csv. Use it to test upload caps without exporting a real customer list.
Privacy for spreadsheets
CRM exports, payroll extracts, and class rosters should stay on the device. These tools do not upload your table to PaperStack. Spot-check dates, phone numbers, and leading zeros before you import the result anywhere else.
Best tools for students and operations
Students inspect a class dataset in CSV Viewer. Operations teams format, filter, and dedupe before a CRM import. Developers turn JSON into a sheet a colleague can open. Generate a dummy file first if you only need to prove the pipeline works.
Browse the full collection at https://paperstack.in/csv-data-tools/.