ImportCSV alternative with no row caps and no monthly import limit
Updog costs a flat $19 per production domain per month. Nothing counts the files your users import, and nothing caps the rows inside them.
100% client-sideWhite-labelNo row caps
Updog and ImportCSV at a glance
| Dimension | Updog | ImportCSV |
|---|---|---|
| Data privacy | Files are parsed, validated, and edited in the browser. Row data never reaches Updog's servers, so there is no data processor, DPA, or residency to manage. | In local mode the browser does everything and no row data leaves it. Backend mode sends row data to an API, which is ImportCSV's own unless you run one yourself. The hosted plans describe managed file storage and delivery. The published privacy policy and terms are written for a different product, so no retention period, data region, DPA, or certification is stated for imported files. |
| White-label | Full styling through CSS variables and class overrides. No Updog logos or "powered by" on any plan, including the free one. | A dark-mode prop, a primary color, seven preset themes, and a style object for fonts, spacing, radius, borders, and the color sets behind text, buttons, modals, inputs, and menus. The self-hosted frontend carries no branding, and removing it on the hosted plans starts on Pro. |
| Pricing | Free for development, and a 14-day trial with no card when you go live. In production, a flat $19 per domain per month, the same at any volume, and your first paid domain includes a free one for staging. | Public and tiered by imports and rows. The package and backend are free to run yourself. Hosted plans are Free $0 a month (100 imports, 10K rows an import), Pro $49 (2,000 imports, 100K rows), and Business $149 (unlimited imports, 500K rows). |
| Data mapping | Schema in code. Fuzzy column matching with a built-in synonym dictionary you can extend, or connect the AI your organization already approves through a hook, so it runs on infrastructure you control with no new AI vendor to clear. Updog keeps no mapping history. Your app owns that state and can supply saved selections on later imports. Maps incoming values to your options. Auto-detects number and date formats. Combines files by upserting on a key. | Columns come from a schema in your code or from an importer set up in the hosted dashboard. Local mode matches headers by name, then by similarity, and users can correct any mapping by hand. AI matching needs the backend, which reads the column names and a few sample values and caches its suggestions for repeat imports. No value-level mapping or deduplication was found. |
| Data cleaning | Cells edit inline through a typed editor per column, text, number, date, select, or multi-select, with clipboard, fill handle, and full undo and redo. Values pass a transform on the way in, then validation runs at three levels, built-in rules, your own checks, and asynchronous ones. Sorting, full-text search, filters on the columns you enable, and formulas. Invalid rows can block submit or come through flagged. Any view also exports in any supported format. | A review step where users filter to the rows with errors and fix cells one at a time, with errors marked inline. Validators cover required, unique, email, phone, date, and number, and a Zod schema adds typed and cross-field checks. Invalid rows can block the import, be skipped, or come through flagged. Column transforms clean values in the browser, and plain-English or bulk fixes by error type need the backend. No undo, clipboard paste, fill handle, find & replace, or formulas were found. |
| Scale & performance | About one million rows at around 20 columns in the browser, with a filter on every column. No fixed row cap, the browser tab's memory is the ceiling, and fewer columns reach further. Filtering and sorting run in a worker, measured at 30 to 250 milliseconds over a million rows. | Local mode runs in the browser, up to 100,000 rows per the README, with memory around twice the file size. The large-file guide advises keeping files under 50MB and splitting past 50,000 rows. Hosted plans cap an import at 10K, 100K, or 500K rows by tier, and a backend processes larger files in the background. |
| Integration | React component, plus a Web Component for Vue, Angular, Svelte, and vanilla JS. Renders inline in your page's DOM. Imports CSV, TSV, Excel, JSON, and XML, plus any other format through a parser you register yourself. | React and Preact packages, documented for Next.js as well, plus a bundled build for pages without React. The README states there is no Vue or Angular version. It renders inline as a modal, with headless primitives for a UI you build yourself. Reads CSV and Excel, with Excel behind a separate install. |
| Languages & RTL | English by default, with every interface string overridable, so you can localize into any language. Right-to-left is first-class. It flips layout, text alignment, scrollbars, and column pinning, and carries through to export. | The interface is English. No locale files, string overrides, or right-to-left support was found. |
| Accessibility | An ARIA grid with full keyboard navigation and screen-reader support. WCAG 2.2 AA is the level Updog builds to, with automated rule checks over every component and every step of the importer on each test run. Updog holds no independent audit or VPAT. | Dialogs and controls carry roles and labels from the component library underneath, while the data table has no grid semantics and no keyboard navigation. Key handling is limited to the AI transform panel. No accessibility statement was found, and the accessibility test tool in the package is installed but unused. |
ImportCSV ships an MIT-licensed React frontend with an AGPL-3.0 backend, and sells a hosted service built on the same code. Local mode, a self-hosted backend, and the hosted plans differ on privacy, price, and limits, and are answered separately. Facts checked against ImportCSV's public pages in August 2026.
Which one fits your team
ImportCSV may fit better if
- You want a lightweight import modal rather than a full spreadsheet editor, or headless primitives to build the flow yourself.
- You want files larger than a browser can hold processed on a backend, hosted or run by you.
- You want a free, MIT-licensed package, with a backend that is also free to run yourself.
- You want AI column mapping without connecting a model of your own.
- You define columns and validation as a Zod schema and want it to type what comes back.
Updog may fit better if
- You want an importer and spreadsheet editor embedded in your own app.
- You want to match your app's design exactly, styling the editor with your own CSS through variables and class overrides.
- You want to handle large files in the browser, with nothing stored on a server.
- You want flat, public pricing with no per-import fees.
- You want to use the AI your organization already approves, with no new vendor to clear.
Questions people ask
Is Updog a drop-in replacement for ImportCSV?
No. Both are React components you drop into your app, but the columns are configured differently, and Updog carries the import on into a full spreadsheet editor rather than ending at a review step.
How do the two handle data privacy?
Updog has no server mode, so row data never leaves the browser. ImportCSV keeps it in the browser too when you set the columns in your code. Turn on its backend and the rows go to an API, either ImportCSV's own or one you run.
How does Updog pricing compare?
Updog is a flat $19 per production domain per month, free in development. ImportCSV is free if you run it yourself, and its hosted plans are $0, $49, and $149 a month.
Can Updog handle large files like ImportCSV?
Yes, about 1 million rows in the browser, bound by the machine's memory. ImportCSV's README says up to 100,000 rows in the browser, and its hosted plans stop an import at 10K, 100K, or 500K rows depending on the plan. Anything bigger goes through its backend.
Does either one need a backend?
Updog needs none, on any plan. ImportCSV runs without one if you set the columns in your code. Its backend is what adds AI column matching, fixing data by typing an instruction, webhooks, and the dashboard, and you can host that backend yourself.
How does the AI work in each product?
Updog has no AI of its own. It passes the data to your app, your app asks whichever model your company already approves, and Updog applies the answer in the browser. ImportCSV's AI runs on a server, either ImportCSV's own or yours if you host it with your own OpenAI key.
Can Updog be used to view or edit existing data, without an import?
Yes. Load existing data straight into Updog's editor to view and edit it, with a read-only mode. ImportCSV's review screen only appears during an import.
How do the two handle accessibility?
Updog's grid uses ARIA semantics with full keyboard navigation and screen-reader support, and the importer is checked against WCAG 2.2 A and AA rules on each test run. Updog holds no independent audit or VPAT. ImportCSV's dialogs and controls carry roles and labels from the component library underneath, while its data table has no grid semantics and no keyboard navigation, and no accessibility statement was found.
Can the interface be translated, and does right-to-left work?
Updog ships in English with every interface string overridable, so you can localize into any language, and it renders right-to-left layouts natively. The ImportCSV interface is English, and no locale files, string overrides, or right-to-left support were found.
See how Updog compares to other CSV importers
Try Updog for free
Install the package, add your columns, render the component. Free on localhost and preview domains. Every feature included.