Clean and standardize CSV files before importing them

Upload a messy CSV and it removes duplicates, fixes formatting, and imports clean data into Google Sheets.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig(("user uploads a csv file")):::human s0["standardize column names"]:::task s1["remove duplicates and clean fields"]:::task s2[("save cleaned csv")]:::store s3[("reload data into sheets")]:::store s4["send cleanup summary"]:::task trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 s3 --> s4 out[/"clean standardized data imported"/]:::out pay{{"reliable data without manual cleanup"}}:::pay s4 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
A stepA personA record or sheetResultPayoff
Build size
Standard

A mid-size build with several tools working together.

Business functions
Spreadsheet & Database OpsAPI & Webhook IntegrationFile & Cloud Storage
Connects
Google SheetsGoogle Drive

The problem it solves

Every new list of customers or leads arrives in a different format, missing fields, mismatched capitalization, duplicate rows. Cleaning it up by hand before it can be used is tedious and easy to get wrong.

Who it fits

Anyone who regularly imports customer lists, leads, or product data from spreadsheets or other systems.

How it works

  1. You upload a CSV file
  2. The system checks the structure and standardizes column names
  3. Duplicate and empty rows are removed, and emails, phone numbers, and names are cleaned up
  4. A cleaned CSV file is saved and the data is reloaded into Google Sheets
  5. You receive a summary of what was cleaned and how many rows were affected
What you get

Clean records ready to load with no errors

You get messy customer or lead lists cleaned, deduplicated, and reloaded into Google Sheets automatically.

What you get

A cleaned CSV file and an updated Google Sheet, plus a summary of what was fixed.

What you need

A Google Drive and Google Sheets account, and a way to upload files such as a web form.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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