How It Works

A CSV data import tool with AI-powered schema detection automatically identifies column types, validates data formats, and maps headers — even in different languages. Instead of manually mapping 30 columns every time you upload a file, ListPlus recognizes over 100 content types including emails, phone numbers, addresses, currencies, and company names, then applies the right validation rules from the first row.

The Problem: Manual Column Mapping Is Error-Prone

Every data import starts the same way: upload a file, then manually tell the tool what each column contains. With 20–30 columns, this takes 10+ minutes and one wrong mapping — like swapping "City" and "State" — corrupts your entire dataset. It gets worse with multilingual headers: "Firma" means Company, "Telefonnummer" means Phone, but most import tools don't know that.

AI-Powered Schema Detection

Drop your file and ListPlus scans every column to detect its content type. Emails, phone numbers, URLs, currencies, dates, addresses, company names — over 100 content types are recognized automatically. The AI reads column headers in any language and maps them to standard types: "Firma" becomes Company, "Telefonnummer" becomes Phone, "Correo electrónico" becomes Email.

Automatic Validation from Row One

Once column types are detected, ListPlus automatically applies the right validation rules. Email columns get format validation. Phone columns get E.164 normalization suggestions. Country columns get ISO code standardization. You start with clean, validated data from the first row — no separate cleaning step needed.

Any File Format, Any Size

CSV, TSV, Excel (.xlsx, .xls), JSON, and JSONL files are all supported. Large files up to 100,000 rows are handled efficiently with streaming processing — no browser crashes, no timeouts. Unlike tools that choke on large datasets, ListPlus processes files in the background and shows progress in real time.