CSVJetty vs. UseCSV: React CSV importers compared
Compare CSVJetty and UseCSV on pricing, file formats, browser callbacks, mapping, validation, and React integration.
View as MarkdownWhich should you choose?
CSVJetty fits a React application that needs CSV uploads, column mapping and editable validation within its published limits. UseCSV is worth evaluating when Excel or TSV support, localization, or higher row limits are requirements. Both provide callbacks and webhooks; the delivery model alone does not settle the choice.
Formats, limits and pricing
| Requirement | CSVJetty | UseCSV |
|---|---|---|
| File formats | CSV | CSV, TSV and Excel |
| Interactive review | Automatic matching, manual mapping, inline correction | Automatic matching and inline spreadsheet editing |
| Schema and validation | Dashboard fields, per-session columns overrides, ten field types and synchronous custom validators | Dashboard or JavaScript schemas; built-in rules and validation hooks |
| Published plans | Free: 100 imports/month, 10,000 rows/upload. Paid: $9/month, 500 imports/month, 20,000 rows/upload. | Hobby: free, 50 imports/month, 10,000 rows/upload. Starter: $49/month, 250 imports/month, 10,000 rows/upload. |
| Higher row counts | 20,000 rows/upload on paid; 20 MB file limit | Plus: $99/month, 1,000 imports/month, 100,000 rows/upload |
| Branding | Free includes CSVJetty branding; paid removes it | Check current plan and styling options |
Source: UseCSV features and pricing →
For an application needing 300 CSV imports per month with fewer than 20,000 rows each, CSVJetty’s $9 plan covers the published allowance. Check the largest real customer file before deciding on price. An Excel requirement would rule out CSVJetty regardless of the monthly fee.
Callback delivery is available in both
CSVJetty callback delivery keeps imported row data out of CSVJetty servers. Configuration and import metadata still use the hosted service. Webhook delivery routes records through CSVJetty. The npm wrapper’s MIT license does not make the hosted importer offline or self-hosted.
UseCSV documents local browser processing with callbacks and metadata collection. Its optional webhook path sends row data through UseCSV. Do not treat browser callbacks as a CSVJetty-only feature.
Review the import experience
Test a file with ambiguous headers, a missing required value and an invalid email. Confirm that the chosen invalid-row policy matches your backend rules. CSVJetty supports blocking invalid rows or skipping them; permitting them is a separate choice.
Try the CSVJetty integration
When replacing UseCSV, treat this as a new integration. Recreate your destination schema, aliases, validation and styling, then adapt the delivery handler. Similar prop names do not guarantee identical row objects, errors or event behavior.
Install csvjetty with npm, pnpm, or your existing package manager. Create an importer in the dashboard and select OnData Callback. Pass its public importerKey to the default CSVJetty export and handle onData({ rows }). Keep your existing save endpoint, authentication and tenant authorization. A successful callback means data was delivered to your code; your application must still confirm persistence.
Complete React example and authenticated saving →
Inspect configuration, correction and preview
Resources
Make the decision against your own import requirements
For a React application with an existing save API, begin with a representative customer file rather than a feature count. Compare the exact delivery contract, privacy path, branding and current plan limits. Use the same valid file, malformed values, renamed headers and duplicate identifiers in each evaluation.
Choose CSVJetty when its hosted React workflow, CSV-only format, current file and row limits, and application-owned persistence fit the job. If a required capability falls outside those boundaries, verify the alternative directly. A cheaper monthly plan does not compensate for a missing required format or an incompatible delivery architecture.
Before migrating, record the current destination field names, aliases, validation rules, invalid-row policy and save-handler contract. Recreate the schema, test row-level errors, and verify both retry behavior and repeat-file duplicate handling. Run the replacement against a test database before switching customers.
Build your importer
Configure the fields your app expects, then connect CSVJetty to your application.
Create an importer →