Spreadsheet safety

Make CSV files safer to open in Excel without destroying important values.

Join the waitlist for a CSV cleanup tool that detects values Excel may auto-convert, strip, round, or reformat before you send or edit operational files.

Join the waitlist See example

Example

Find CSV values Excel may break.

Preview how CSV columns can be checked before Excel silently changes IDs, SKUs, or ZIP codes.

Example input

Uploaded file: shipping_export.csv

Order ID,ZIP,SKU,Tracking Number,Serial Number,Qty,Weight
1001,00501,00042-RED,9400111899223857390000,000000771234,1,2.50
1002,02108,00123-BLK,1.23098E+21,000000771235,2,1.75
1003,33101,09-XL,9400111899223857390002,000000000009,1,3.00
1004,07030,00099-WHT,9400111899223857390003,ABC-000012,4,0.80
1005,90210,00077-GRN,9400111899223857390004,000000771236,1,2,75

Example output

Report summary

Fields that Excel would silently damage were detected before the CSV is shared or edited.

high

Rows checked

Excel-risk cells

Leading zeros protected

Scientific notation risks

Detected findings

Tracking numbers may convert to scientific notation

high

Long numeric tracking values can become 1.23E+18 when opened in Excel.

ZIP codes with leading zeros detected

high

ZIP 02108 and 00544 would lose their leading zero if treated as numbers.

SKU-like IDs look numeric

medium

Several SKUs are all digits and should be protected as text.

Date auto-conversion risk

medium

Values like 03-04 may be converted into dates depending on locale.

Protected output sample

Column	Original	Excel-safe value
ZIP	02108	="02108"
Tracking	9400111899223857429012	="9400111899223857429012"
SKU	000742	="000742"
Bin	03-04	="03-04"

Recommended next step: Export an Excel-safe copy before sending the file to anyone who may open it in Excel.

Waitlist

Get notified when this tool opens

Leave your email and optionally describe the exact file or workflow you would want checked.

FAQ

Questions before you join

Will this replace Excel?

No. The concept is to make CSVs safer to open, edit, and re-export when fields like SKUs, ZIPs, UPCs, or tracking numbers must stay as text.

What fields are risky?

Values with leading zeros, long numeric IDs, scientific-notation risks, date-looking strings, tracking numbers, postal codes, and SKU codes.

Would it modify my data?

The intended output is a safe cleaned file plus a report explaining which fields were protected and why.

What should I put in the use case box?

Mention the fields Excel keeps breaking for you, such as ZIP codes, tracking numbers, UPCs, customer IDs, or SKU codes.