

Ivandt
Ivandt is a data import SDK that lets applications accept bulk CSV, Excel, or JSON uploads and turn them into clean, validated JSON.
Cost / License
- Subscription
- Proprietary
Platforms
- Online
- Software as a Service (SaaS)
Features
- Bulk uploader
Tags
- Data migration
- data-onboarding
- spreadsheet-migration
- csv-bulk-upload
- bulk-data-validation
- flatfile-alternative
- excel-bulk-import
- bulk-import-sdk
- oneschema-alternative
- data-importer
- dromo-alternative
Ivandt News & Activities
Recent activities
- syptime updated Ivandt
- smiladhi reviewed Ivandt
We ran Dromo Enterprise for about a year, and it was “fine” until we tried to do anything real with it. The iframe UI always felt bolted on, every non-trivial rule turned into another hook and custom script, and anything beyond ~10k rows started to feel slow and fragile. Moving to Ivandt felt like finally using the importer we thought we were paying for in the first place: it lives in our React app like a native component, the schema + DataSources model replaced a huge pile of Dromo hooks, and...
- smiladhi added Data migration as a feature to Ivandt
- syptime added Ivandt
- POX updated Ivandt
syptime added Ivandt as alternative to Dromo, Ingestro, Flatfile.io and OneSchema
Ivandt information
What is Ivandt?
Ivandt is a data onboarding platform and SDK for bulk upload, bulk forms, and data migration, focused on turning messy spreadsheets into clean, validated data. It supports CSV, Excel, TSV, and JSON uploads and can be used either via a hosted migration dashboard or as an embeddable SDK/web component inside React, Vue, Svelte, Angular, or vanilla apps. The importer flow covers upload, parsing, AI-powered header mapping, validation, transformation, review, and submission, ending in clean JSON delivered to the developer’s handler. Ivandt offers schema-based imports, where fields, validation rules, and transforms are defined up-front in JSON/TypeScript schemas, enabling strict, repeatable onboarding pipelines. It also provides a schema-less mode where users map columns to field types on-the-fly (text, numeric, monetary, phone, date, etc.), with built-in validation and formatting per type. Performance is a core focus: Ivandt uses concurrent web workers for parsing and validation, keeping the UI responsive even with hundreds of thousands of rows and claims of processing over a million cells per second. Its validation engine goes beyond simple field checks, including cross-field and dataset-level logic powered by a JSON rules engine, plus smart inline feedback and bulk correction tools. AI-powered transformers and natural-language style commands (such as splitting names, formatting dates, or removing duplicates) help teams clean data with minimal manual effort. The SDK is designed to be privacy-friendly, with processing happening client-side so that files and data can remain within the customer’s infrastructure and are not stored by Ivandt. Alongside the core importer, Ivandt provides free online tools like CSV?JSON converters and duplicate removers that showcase its data transformation capabilities and attract developer users.







Comments and Reviews
We ran Dromo Enterprise for about a year, and it was “fine” until we tried to do anything real with it. The iframe UI always felt bolted on, every non-trivial rule turned into another hook and custom script, and anything beyond ~10k rows started to feel slow and fragile. Moving to Ivandt felt like finally using the importer we thought we were paying for in the first place: it lives in our React app like a native component, the schema + DataSources model replaced a huge pile of Dromo hooks, and performance on large files is in a completely different league. The Smart Fix suggestions are a game changer for our non-technical users (they can actually fix their own data), and the flat, unlimited pricing means I’m no longer staring at “imports used” counters. If you’ve hit the ceiling with Dromo and you’re tired of duct-taping hooks around an iframe, Ivandt is absolutely worth the switch.