Flatfile
csvbox
OneSchema
Flatirons Fuse
Impler.io
Flatfile 3.0 – Embeds
DolphinCSV
Add CSV import functionality to your app in minutes

Flatfile
Flatfile 3.0 – Embeds
csvbox
Csv Easy
CSVLens
OneSchema
Let customers upload CSVs, match columns, and fix errors before importing.

Which is more popular?
Website, pricing, platforms and company facts side by side.
|
LUC
Layercode UseCSV
|
|
|
|---|---|---|
| Website | usecsv.com | csvjetty.com |
| Pricing | — | |
| Platforms | — | |
| Company | — | 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.

Add CSV and Excel import to your web app in minutes. 🤝 A delightful data import experience for your users 🧑💻 Easily integrate with a few lines of JS and a webhook or callback 💪 Handle large import files with ease 💯 Supports CSV and all Excel formats.
CSVJetty is an embeddable CSV importer for React and Next.js apps. It lets customers upload a file, match columns, correct invalid values, and import records into your application. Define your expected fields in the dashboard or in code. CSVJetty handles automatic column matching, required...
What each product offers, as listed by its team.

Possible disadvantages
How often each product is chosen within a category, 0–100% relative to the other.

As answered by people managing Layercode UseCSV and CSVJetty.
CSVJetty's answer:
CSVJetty combines column mapping, validation, and inline error correction in an embeddable React importer. With callback delivery, imported row data passes directly to your application without going through CSVJetty’s servers.
CSVJetty's answer:
CSVJetty is a straightforward option for developers who need customer-facing CSV imports with configurable fields, editable previews, and callback or signed webhook delivery. It handles the import interface while letting you keep your existing backend and database.
CSVJetty's answer:
React and Next.js developers, SaaS founders, and small engineering teams adding customer-facing imports for contacts, products, inventory, or other structured data.
CSVJetty's answer:
CSVJetty addresses a common development task: letting customers import CSV files with inconsistent headers and invalid values. It packages upload, mapping, validation, and correction into a reusable component.
CSVJetty's answer:
React, Next.js, and JavaScript, with an npm package for embedding the importer and signed webhooks for backend integration.
Share your experience with using Layercode UseCSV and CSVJetty. For example, how are they different and which one is better?
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The ultimate CSV Editor. Import, tweak, fix, analyse and convert.
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