Spojit
Data mapping

Map fields. Transform data.
See it live.

Move data between steps without losing your mind. Drag fields from the source onto the target shape with auto-suggested matches, and watch the result update against real data before you ship it. Formulas and filters included.

customer.email
order_total
ship_to.zip
map
contact.email
customer.email
amount
order_total
address.postcode
ship_to.zip
How it works

From one shape to the next

01

Pick source and target

Choose the step you are mapping from and the shape the next step expects to receive.

02

Map the fields

Drag fields across, accept the auto-suggested matches, and apply formulas where you need them.

03

Preview against real data

See the mapped result on an actual record, so you catch problems before the workflow runs.

Capabilities

The right tool for every transform

Visual field mapping

Drag fields between source and target. The structure is obvious at a glance, not buried in code.

Auto-suggested matches

Spojit proposes the likely field matches for you, so most of a mapping is done before you start.

Live preview

The result updates against real data as you map, so you ship what you can already see is correct.

Formula functions

Transform dates, strings, numbers, and arrays inline, without dropping into a code step.

Filter, query, merge

Filter collections, query nested structures, and join data from several sources, all visually.

Parse any format

CSV, JSON, XML, YAML, and PDF parsing are built in, so the input format is rarely a blocker.

Use cases

Wherever shapes don't match

System to system

Reshape a record from one app into exactly the structure another app requires.

Reshape API payloads

Turn a raw API response into the clean shape the rest of your workflow expects.

Clean and normalize

Trim, format, and standardize messy incoming data before it flows downstream.

Join multiple sources

Merge data from several steps into one record for the next action to use.

The difference

Visual mapping vs hand-written glue

See the result against real data before you ship it, instead of guessing in code.

Map it visually when

  • The shapes differ but the logic is straightforward
  • You want to see the result before it goes live
  • Non-engineers need to read and change the mapping

Hand-written glue means

  • Every mapping is more code to maintain
  • No preview until it runs in production
  • Only the author can safely change it later

Map your data without code

Start free and wire two systems together with a visual mapping and a live preview. No card needed.