CSV header mapping API demo

CSV header mapping API for import screens

Messy CSV headers like fname, E-mail, Mobile, Org, and Joined become reviewable schema mappings with confidence scores, warnings, reasons, and safe normalization hints.

Free tier available

Try the browser demo Use the API on RapidAPI

Messy CSV Schema Mapper API Turn messy CSV columns into review-ready schema mappings

fname first_name 96%

E-mail email 97%

Joined signup_date Review

Small CSV samples in. Reviewable mappings out.

CSV mapping suggestions should be reviewed before data is imported. This demo uses small representative samples and does not import full CSV files.

Interactive demo

Map messy CSV headers into a clean application schema

Step 1

Choose a scenario

Step 2

Inspect the CSV sample and target schema

Compare the messy CSV-style input with the clean application fields the importer needs.

Input

Source CSV sample

2 rows

Schema

Target fields

0 fields

Step 3 - Generate mapping suggestions

CRM contacts

Map imported contact columns into a CRM contact schema.

Step 4 - Review and adjust before import

Mapping suggestions

Ready

Select a scenario and run the demo to see reviewable mapping suggestions.

How it fits

Use the CSV mapping API to pre-fill review screens

Step 1 - Send CSV headers and sample rows

Use a small representative sample from the import screen, not the full CSV file.

Step 2 - Show reviewable schema mappings

Display mapped fields, confidence, warnings, reasons, and transformation hints.

Step 3 - Normalize records after review

Your application remains responsible for parsing, validating, normalizing, and importing the full dataset.

Use cases

Built for import screens that already exist

CRM contact imports

Map names, emails, phone numbers, companies, and signup dates before the user reviews.

Newsletter subscriber uploads

Turn exported list headers into email, name, consent, source, and subscribed-at fields.

Ecommerce customer exports

Pre-fill customer, contact, country, spend, and last-order mappings from storefront data.

Event attendee lists

Review attendee, ticket, paid, checked-in, and dietary columns before importing.

Donor and member directories

Handle membership exports where familiar identity fields arrive under local naming conventions.

Internal staff contact lists

Give internal tools a cleaner review screen for staff directories and access rosters.

API workflow

Use the CSV mapping API on RapidAPI

RapidAPI plans include a Basic free tier for evaluation and demos. Check the live RapidAPI plan page for the current included request quota.

Try the browser demo Open RapidAPI listing

Free tier

Start free with the Basic plan on RapidAPI

A free Basic plan is available for evaluation. Use the live RapidAPI plan page as the source of truth for the current monthly request quota before relying on it in production.

Data handling

Designed around small samples and human review

Use the CSV header mapping API with representative headers and sample rows. It is not a full CSV ingestion pipeline, and automatic import without review is not recommended.

We do not store raw request bodies, raw sample rows, raw record values, API tokens, customer emails, account names, or private identifiers as durable records by default.

FAQ

Boundaries that keep the workflow honest

Does this import my full CSV file?

No. The API is designed for headers and small representative samples. Your application handles full parsing and importing.

Can I automatically import without review?

That is not recommended. The response is meant to pre-fill a review screen, not bypass it.

Does it store my customer data?