UI and SDK for real-world data

Turn files into
clean, typed data.

Give your users a guided import UI with Diakrio Importer. Build a programmable data pipeline with Diakrio Converter SDK.

Start locally with the SDK. Add hosted services where available.

Try Diakrio →

Your own file or a sample. No account needed.

Import contactsExample workflow

1. Select2. Map3. Review4. Deliver

Their columns. Your structure.

Match incoming fields to the records your product expects.

customer_emailemail

customer namefullName

yearsage

The record your application receives

{
  "email": "ada@example.com",
  "fullName": "Ada",
  "age": 36
}

Try this workflow →

Products

Choose how you want to use Diakrio.

Diakrio Importer

Use it in your React app

What your users see

Importer source age column mapped to a required age field

Importer with a sample CSV loaded, showing the Map step and a source column matched to an age field

A ready-made import UI for your users to map, validate and correct their data.

Upload → Map → Validate → Fix → Deliver

Explore Importer →

Diakrio Converter SDK

Use it in your code

What you integrate

// @diakrio/converter
const job = processFile(file, {
  inputFormat: 'csv',
  onBatch: async rows => {
    console.log(rows);
  },
});
await job.done;

import { processFile } from
  '@diakrio/converter/processing/browser';

const run = processFile(file, {
  inputFormat: 'csv',
  onBatch: async (rows) => console.log(rows),
  onRejected: async (batch) => console.warn(batch.records),
});
await run.done;

A standalone SDK for parsing, transforming and validating data in your pipeline.

Parse → Transform → Validate → Stream

Explore Converter SDK →

One data import layer

Two ways to use the same pipeline.

Converter SDK processes your records. Importer gives your users an interface to guide that process.

Your files

CSV · Excel · JSON · XML

Format support →

Diakrio Converter SDK

Parse · Map · Validate · Stream

Diakrio Importer

The guided UI for your users

Validated records

Ready for your application

Starting with an image? Diakrio OCR extracts text and line locations from PNG and JPEG images. Connect that output to your own mapping workflow; automatic table reconstruction is not included.

Execution

Run it your way.

Choose a local integration or add managed services where available.

Local SDK

Your infrastructure. Your data path.

Use Importer in the browser or Converter SDK in browser and server pipelines. The playground processes your source on this device, without an account.

Try with your file →

Hosted · private beta

Managed configuration and delivery.

Importer Cloud adds authorized sessions and signed delivery. General hosted Converter SDK execution is not available in this public playground.

Explore hosted availability →

Built for real-world files

Process incrementally. Keep control.

Streaming keeps the entire source and result out of memory. Record size, transformations and the destination still affect usage.

Explore the evidence

Inspect the synthetic 11.48 GB Apple Health XML benchmark, its recorded runtime and backend, or run smaller examples on your own device.

See the benchmark →Measurement guide →

Try Diakrio with your own file.

Use the detected structure or define the data you expect. Run the pipeline, inspect the output and take the integration code with you.

Try Diakrio →

Runs locally in your browser. No account needed.

Loading page…

import { processFile } from '@diakrio/converter/processing/browser'; const run = processFile(file, { inputFormat: 'csv', onBatch: async (rows) => console.log(rows), onRejected: async (batch) => console.warn(batch.records), }); await run.done;

Turn files intoclean, typed data.

Their columns. Your structure.

Choose how you want to use Diakrio.

Use it in your React app

Use it in your code

Two ways to use the same pipeline.

Run it your way.

Your infrastructure. Your data path.

Managed configuration and delivery.

Process incrementally. Keep control.

Explore the evidence

Try Diakrio with your own file.

Turn files intoclean, typed data.

Their columns. Your structure.

Choose how you want to use Diakrio.

Use it in your React app

Use it in your code

Two ways to use the same pipeline.

Run it your way.

Your infrastructure. Your data path.

Managed configuration and delivery.

Process incrementally. Keep control.

Explore the evidence

Try Diakrio with your own file.

Turn files into
clean, typed data.

Turn files into
clean, typed data.