Why Dromo?
The best Excel importer
for Next.js
Handle multi-sheet Excel imports in your Next.js app with automatic parsing, validation, and AI-powered column matching. SOC 2 compliant.
Managing Multi-Sheet Excel Imports in Next.js
Most lightweight parsers crash or drop data when handed complex, multi-sheet .xlsx files. Dromo's React SDK completely changes the game for Next.js applications dealing with enterprise Excel data. Our importer component gives users a beautiful UI specifically designed for sheet selection and cross-sheet reference validation.
Whether you are implementing large file streaming via Next.js API routes or handling the payload in a Server Action, Dromo's AI-powered column matching ensures that even the most chaotic workbooks are mapped, cleaned, and ingested properly.
Dromo helps you fix Excel files from customers, collaborators, and other software.
- Reduce onboarding errors by 98%
- Save more than a year of engineering time
- Migrate in less than an hour
We support every team that deals with data files
Get startedDevelopers
Never build and maintain a data importer again.
Product Managers
Deliver fully-featured data importing capabilities in the next sprint.
Operations
Automate data file-based workflows with hundreds of integrations. No coding required.
Customer Success
Delight new customers with seamless, self-service data onboarding.
Flexible plans to meet your requirements
Sign up for the Starter plan for free, or get the full power of Dromo with the Professional plan.
Use Cases
Engineered for multiple use cases.
Use Dromo to make your life easier and delight your customers.
Validate and transform the output of other software and then move the files wherever they need to go.
Get startedWhat Our Customers Say
"We have now rolled out Dromo across our entire customer onboarding experience, and it has made our lives so much easier. Most importantly, our customers love the new experience!"
FAQ
Product FAQ
- The Dromo importer walks a user through the process of validating, cleaning, and transforming a data file, guaranteeing that the final output meets all your quality standards and is in the form you expect.To configure Dromo, you simply define what the final data file should look like, along with any validation rules or constraints. You do this by creating a "schema" for each import, either in code (Dromo Pro only) or using the no-code Schema Studio.To use Dromo, you or an end user must:
- Initiate an import. This happens in one of two ways:
- A user opens the embedded Dromo importer and uploads a file (or manually enters their data)
- You send a file to the Headless API (this feature is a premium add-on)
- Match columns. After uploading a file, the user matches their column names to the names you require (where possible, the importer does this automatically on their behalf or uses AI to recommend matches).
- Run bulk transformations. The user may perform bulk transformations on the data, with suggestions powered by AI.
- Clean remaining errors. The user may review the final data in a familiar workbook interface, which highlights and annotates any errors. They can quickly isolate and diagnose problems and correct the data.
- If a user prefers to fix errors offline, they may download the current state of the import as an Excel workbook, complete with error annotations, from the review screen. Whenever they re-upload that file, the importer will pick up where they left off.
Dromo outputs the final cleaned data as a JSON object. You can now move the file to the next stage of your data pipeline (e.g., upsert it into a database, attach it to an email, save it in cloud storage) with confidence.Dromo also provides access to metadata about the import and has an option to view final data as a CSV file. - Initiate an import. This happens in one of two ways:
- Dromo's pricing is flexible, accessible, and honest. We list starting prices on our Pricing page, and we do not have hidden fees or surprise upcharges (such as for monthly billing or white labeling). You can get started without talking to sales or making any upfront commitment.We encourage new customers to experiment on the Free plan, then graduate to a usage-based plan that bills monthly (you can cancel anytime). Once you're confident in Dromo, we recommend an unlimited plan at a flat annual rate, so you don't have to manage variable costs as you scale or your usage fluctuates.
- Yes, you may launch an import programmatically using the Headless API (this feature is a premium add-on). If there are any errors during the import process (for example, a column cannot be matched automatically or a data validation fails) you are provided a URL where you can direct your user to fix the issues. If there are no errors, the import succeeds automatically and the user does not need to be involved.
- In many cases, no! Although we are SOC 2 certified and can securely process and store data, Dromo believes the very best way to protect your end user data is to never have access to it in the first place. To that end, we offer numerous private configurations that allow you to operate Dromo without the contents of your data files ever transiting our servers or networks.You can also deploy Dromo yourself via Kubernetes and host it in your own cloud.
- Yes, you can pass the final results of an import to services like Google Drive, Microsoft OneDrive, Dropbox, Slack, and hundreds of other out-of-the-box integrations via Zapier.You can also write your own server-side integrations using webhooks and the Dromo API.
- Yes, all Dromo plans are white label out of the box. You may customize the importer to match your brand and style guide by following these instructions.
- An embeddable CSV importer is a drop-in component that adds CSV, Excel, and TSV file upload capability to your web application. Instead of building import logic from scratch — parsing files, mapping columns, validating data, handling errors — you embed a pre-built importer that handles all of it. Your users get a polished import experience, and your engineering team saves months of development time. Dromo is an embeddable CSV importer used by SaaS teams to ship production-ready data import in minutes. It supports React, Angular, Vue, Next.js, and vanilla JavaScript.
- Dromo and Flatfile both offer embeddable data import, but they differ in several important ways. Dromo offers a zero-retention privacy architecture where imported data never touches Dromo's servers — the entire import runs in the browser or writes directly to your own cloud storage. Dromo is SOC 2 Type II certified and HIPAA compliant, and offers a self-hosted deployment option via Kubernetes for teams with strict data residency requirements. Dromo's pricing is transparent with no hidden fees for white labeling or monthly billing. Dromo also offers a Headless API with SFTP support for fully automated import pipelines, and AI-powered column mapping and data cleanup.
- Yes. Dromo is built for production-scale data imports. The Headless API is optimized for high-volume files and supports SFTP for large file transfers without browser limitations. For browser-based imports, Dromo uses streaming and chunked parsing to handle files that would crash a typical spreadsheet application. If you need to process millions of rows on a recurring basis, the Headless API with your own cloud storage (S3, GCS, Azure Blob) is the recommended approach.
- Yes. Dromo Embedded works with any JavaScript framework including React, Angular, Vue, Next.js, Svelte, and vanilla JavaScript. Integration typically takes less than 30 minutes. You install the Dromo package, define your schema (the columns and validation rules you expect), and render the importer component. Dromo handles everything else — file parsing, column mapping, data validation, error correction, and output. Quickstart guides are available in the Dromo documentation for each framework.
Ready to Ship a Better Data Import Experience?
AI-powered mapping. Real-time validation. SOC 2 certified. Deploys in minutes.