How conversion actually works

Three things make a best-effort conversion trustworthy: matching steps by what they do rather than just their name, an AI-assisted fallback for anything that doesn't match, and a structured report so you always know exactly what still needs a manual look.

One converter, every platform

The building blocks of a reliable conversion

From parsing the source workflow to a feasibility score — what makes a conversion between automation platforms trustworthy, not just plausible.

Bidirectional by design

One shared IR converts any supported platform to any other through the same parsers and emitters — not a separate one-way script per pair.

Capability-based mapping

Nodes are matched by what they do, not just their name — an Azure Blob Storage node still maps to its Logic Apps connector.

Expressions, translated

n8n's {{ $json.field }}, Logic Apps' @{body('Name')?['field']}, and Make's {{1.field}} translate directly; arbitrary code is flagged, never guessed.

Feasibility scoring

A 0–100 score and red/amber/green traffic lights on every step estimate how much manual work is actually left.

Nothing invented, everything flagged

Credentials are never fabricated. Every placeholder and untranslatable expression lands in a structured review report.

AI fills the gaps

Unmapped steps get a Pro-suggested equivalent automatically — clearly marked in the output, never silently blended in.

Built for conversions you can trust

Capability matching, structured reports, credential placeholders, and live feasibility scoring — everything that makes a best-effort conversion actually dependable.

Registry match rate83%
scheduleTriggermatched
httpRequestmatched
customNodeunmapped

Capability-based registry

Nodes are matched by what they do, not just their type name — most steps map on the first pass.

n8nLogic AppsMakeTriggersActionsExpressions

Full coverage, every platform pair

Triggers, actions, expressions, and credentials — mapped across n8n, Logic Apps, and Make.

manual-review.json
unmapped-nodestep: Post to Slack
Medium
AI suggestion attached● reviewable

Structured review report

Every unmapped node and untranslatable expression lands in a report — severity, category, difficulty.

azureBlobStoragematched
n8n Wait → Delaymatched
HTTP actionbuilt-in
custom nodeAI fallback

Growing connector registry

Azure Blob Storage, Wait/Delay, and more — matched by capability, with new ones added the same way.

Placeholdersflagged
HTTP_HEADER_AUTH••••••
AZURE_STORAGE_KEY••••••
API_CONNECTION••••••

Credentials, never invented

Every credential reference becomes a placeholder — reconnect it on the target platform, nothing is guessed.

Feasibility score92%
+20pts

Feasibility, scored live

Start at a deterministic baseline — the score climbs as Pro resolves each unmapped step.

workflow.json
"type": "Recurrence",
"recurrence": {
  "frequency": "Minute",
  "interval": 5
}

Real target-platform JSON

Not a summary — the actual Recurrence trigger, Http action, or n8n node, ready to import.

Slack post → ApiConnectionMedium
ConfidenceHigh
Applied · markedReview

Review before you trust it

AI suggestions are marked and scored — reviewable, never applied silently.

Convert, review, and ship with confidence

Structured output, always

Every conversion produces valid target-platform JSON plus a structured report — nothing silently dropped, nothing silently guessed.