Bulk Upload & Data Migration SDK

Bulk Upload & Data Migration SDK

Stop rebuilding uploaders | ivandt

4 followers

Ivandt is a high-performance data onboarding SDK for modern apps. Embed a native importer (no iframe) to handle messy CSV/Excel entirely in-browser with web workers, schema-based or schema-less + AI type detection, powerful validation and transforms, Smart Fix suggestions, and flat pricing with unlimited imports.
Bulk Upload & Data Migration SDK gallery image
Bulk Upload & Data Migration SDK gallery image
Bulk Upload & Data Migration SDK gallery image
Bulk Upload & Data Migration SDK gallery image
Bulk Upload & Data Migration SDK gallery image
Bulk Upload & Data Migration SDK gallery image
Bulk Upload & Data Migration SDK gallery image
Free Options
Launch tags:ProductivitySaaSData
Launch Team / Built With
Anima Playground
AI with an Eye for Design
Promoted

What do you think? …

Roy Williams
Maker
📌
Hi everyone I’m one of the makers of Ivandt. If you’ve ever shipped an “Upload CSV/Excel” feature and then spent days dealing with broken spreadsheets, this is for you. Ivandt is an embeddable importer that lives inside your app, processes large CSV/Excel files in the browser, auto-detects column types, validates and cleans data, and gives users one-click “fix” suggestions so they can correct errors themselves. Would love your feedback and import horror stories.
Agbaje Olajide

This addresses a universal dev headache. Moving validation and cleaning to the browser with web workers is the right architectural choice for performance and cost.

A key technical question: How does the SDK handle truly massive files (e.g., 500MB+ CSV) in the browser? Does it implement chunked processing or streaming to prevent browser tab crashes, or does it have a recommended fallback to a server-side flow?

Roy Williams

Hi @olajiggy321 
Absolutely, chunking and parallel processing is at the core of our SDK. Every single line of the code is scrutinised to be performing well under pressure. Smallest thing like favouring "for loops" over "maps", to bigger things like handling millions of cell validation and transformation off the main threat and in parallel, aggressive caching, smart reusing of the results and much.
Regarding 500mb+ csv, if your browser can actually manage to accept a large file as an input, then our SDK can perfectly handle it. We've tried cases where we've generated a 500k rows*10 cols ( 5m cells ) Excel file, and tried to open it to edit it in a high performing Mac, funny enough, the Mac's Numbers app actually crashed, while you can upload the file to our SDK and it will perfectly handle it !!!
With CSV files, our SDK is even incredibly faster, since CSV can perfectly be chunked and it doesn't have the heavy meta information that a typical Excel file would have.

Agbaje Olajide

@ivandt 
Thanks for the detailed breakdown. The focus on low-level optimization (for loops vs maps) and parallel processing is impressive—it shows the depth.

It gave me a small, practical idea on how to communicate that raw performance advantage more viscerally to developers on your landing page. Something you could try on your own.

Best way to send it over?

Roy Williams

Hi @olajiggy321 
I'm not sure what you mean, are you suggesting you're designing something that you can send over ?
If so, you can send it to support@ivandt.com

Agbaje Olajide

@ivandt 
sent you the idea

Milad

I tried the CSV editor free tool ( https://www.ivandt.com/tools/csv-editor) ;
It's actually pretty amazing and accurate. The fact that it demonstrates the Ivandt SDK while offering a free tool to the community is really nice.

Milad

I think the video on the landing page could be improved, it doesn't tell much of the functionalities that the SDK has