See your use case run

Big files. Private data.
A practical way forward.

Every example runs here in your browser, using the streaming foundation behind Diakrio. Explore three real tasks: extract Apple Health records, prepare private transactions, and deliver a clean supplier catalog to a slower receiver. Inspect each result and switch between browser and Node.js code. Downloads also include a Node.js runner.

Run in your browser

Stream large XML in your browser

Stream 11.48 GB of synthetic Apple Health XML directly in your browser and turn it into consistent CSV records, or process your own local export.

Large XML · Converter SDK

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Run in your browser

Process files privately in the browser

Prepare a transaction feed for a budgeting app without uploading the bank export. Keep identifiers, amounts and currencies; leave private notes out of the result.

Private finance · browser + Node.js

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Run in your browser

Build a reliable conversion pipeline

Turn supplier product records into a store-ready catalog. Normalize prices and stock, choose the output format, and keep delivery controlled when the destination slows down.

Supplier catalogs · transformation + delivery

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Give your users this import experience.

The embedded importer adds file selection, mapping, validation and correction to your onboarding flow.

Try the importer

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Big files. Private data.A practical way forward.

Stream large XML in your browser

Process files privately in the browser

Build a reliable conversion pipeline

Give your users this import experience.

Big files. Private data.A practical way forward.

Stream large XML in your browser

Process files privately in the browser

Build a reliable conversion pipeline

Give your users this import experience.

Big files. Private data.
A practical way forward.

Big files. Private data.
A practical way forward.