ActionDeepLUpdated May 2026

What languages does DeepL support?

Short answer: Drop the "DeepL → List DeepL Languages" action anywhere in your workflow, map the inputs from upstream nodes, and publish.

Use this action All 3 DeepL actions

Inputs

The fields this action accepts.

Every field can be mapped from an upstream trigger, AI step, table row, or hard-coded literal.

Field	Type	Required	Description
Language Type type	options	Optional	Language Type. Options: Source languages, Target languages

Sample request

{
  "type": "{{trigger.type}}"
}

Returns

[
  {
    "name": "English",
    "language": "EN",
    "supports_formality": true
  },
  {
    "name": "German",
    "language": "DE",
    "supports_formality": true
  }
]

Use these fields in downstream nodes for routing, logging, or error handling.

Triggered by

Apps that pair well as the trigger for List DeepL Languages.

Any of these apps can fire this action as part of a workflow.

Google Sheets → DeepL

2 Google Sheets triggers

HubSpot → DeepL

18 HubSpot triggers

FAQ

Questions about List DeepL Languages.

What does the List DeepL Languages action do in DeepL?

Returns supported source and target languages. Useful for dynamically populating language pickers in translation UIs or for validating that requested translation pairs are supported.

What inputs does List DeepL Languages require?

List DeepL Languages has no required inputs. Sensible defaults are applied if you leave fields blank.

Can I use dynamic inputs from earlier workflow nodes?

Yes. Any field on this action can pull values from upstream nodes, whether that's a form response, a trigger payload, an AI output, or a lookup result.

What happens if DeepL returns an error?

The workflow pauses on the failed node, the error message is captured in the run log, and you can retry the run with one click. Auto-retry policies are configurable per workflow with exponential backoff up to 5 attempts.

Does List DeepL Languages support batch operations?

Yes. Run List DeepL Languages inside a Loop node to process arrays. Tiny Command handles DeepL's rate limits automatically so you don't have to throttle manually.

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