csv import widget

CSV import widget for SaaS apps that need clean customer data.

Rowslint gives your users a guided CSV import flow: upload a messy file, map columns to your schema, fix bad rows in the browser, and send clean data to your backend.

AI column mappingBrowser-side validationCSV and Excel supportWebhook delivery
01

What a good CSV import widget should handle

The hard part is not reading a CSV file. The hard part is helping a real customer finish an import when their spreadsheet does not match your database.

Messy headers

Customers upload columns like "Email Addr", "Contact email", or "e_mail". Rowslint suggests mappings to your schema before import.

Bad row values

Run validation rules for email, dates, enums, required fields, duplicates, and async checks while the user can still fix the file.

Large uploads

Chunked parsing keeps the interface responsive so users understand progress instead of refreshing the page.

Clean handoff

Send import-ready rows to your webhook or destination flow after mapping and validation have done the messy work.

02

Where teams use a CSV import widget

A CSV importer is most valuable where imported data unlocks the next step of the product experience.

Customer onboarding

Let new accounts import customers, members, contacts, products, or inventory during setup instead of asking support for help.

Admin dashboards

Give operations teams a safer upload UI for recurring data tasks without maintaining one-off import scripts.

B2B portals

Let customer admins upload and validate their own records inside a branded workflow that feels like your app.

how rowslint helps

Rowslint turns CSV upload into a complete import flow.

Embed the widget, define the schema, and let users resolve the import problems that usually become engineering tickets.

  1. Define the target schema

    Tell Rowslint which fields your app expects, what is required, and which values are valid.

  2. Guide the user through mapping

    Rowslint suggests field matches from headers and sample values, then gives the user a clear confirmation step.

  3. Validate before submission

    Users fix or skip invalid rows in the browser before your backend receives the clean result.

  4. Send clean rows forward

    Deliver mapped, validated data to your webhook, API, or storage workflow.

03

Questions this page answers

Short answers written for both buyers and LLM retrieval.

What is a CSV import widget?

A CSV import widget is an embeddable UI that lets users upload a CSV file, map columns, validate rows, and submit clean data to your application.

Why use Rowslint instead of building a CSV importer?

Rowslint handles the user-facing import problems: messy headers, validation errors, large files, retries, and clean handoff to your backend.

Does Rowslint only support CSV files?

No. Rowslint is focused on spreadsheet import workflows and supports CSV plus Excel formats for customer uploads.

next smallest step

Ship an import flow
your next customer can actually finish.

Start with one real spreadsheet, one schema, and one import surface in your app. If the flow feels clearer than what you have today, make it the default.

14-day free trial · No credit card required · Browser-side validation by default