AI Document Translator workflow blueprint
Translate documents between languages with a back-translation quality check
See where this blueprint fits in the production workflow lifecycleDag
2
0
0
Inputs for the Document Translator workflow
Provide the following information when starting this workflow. Required inputs are validated before the first workflow stage runs.
Document
RequiredDocument text to translate
Type: StringTarget Language
RequiredTarget language (e.g. Spanish, French)
Type: String
Input template
This request shape is generated from the blueprint's input schema. Angle-bracket values are placeholders; defaults and examples appear only when the source blueprint defines them.
{
"document": "<required string>",
"target_language": "<required string>"
}How the Document Translator AI workflow works
This content & writing blueprint uses a dag workflow with 2 agents, 0 functions, and 0 MCP servers. This catalog blueprint is available by request; contact GraphN to discuss access and customization for your use case.
Translator
Agent using Translator
Back Translator
Agent using Back Translator
Blueprint resources and prerequisites
These are the actual agents, functions, and MCP servers declared by the blueprint. If an MCP server connects to an external system, configure the required connection and credentials in your GraphN workspace before running the workflow.
Translator
Translate the document to the target language preserving meaning, tone, and formatting.
Back Translator
Translate the output back to the original language and compare against the source to flag discrepancies.
Workflow output contract
The completed workflow makes the following output available to downstream steps, applications, or API clients:
Frequently asked questions
- What does the Document Translator blueprint do?
- Translate documents between languages with a back-translation quality check
- What inputs does the Document Translator workflow use?
- The workflow uses Document, Target Language. Required fields and their expected formats are listed on this page.
- What resources are included in the Document Translator blueprint?
- The blueprint contains 2 AI agents, 0 functions, 0 MCP servers. Its workflow pattern is Dag.
- Can I customize the Document Translator blueprint in GraphN?
- This blueprint is currently available by request. Contact GraphN to discuss access and customization for your use case.
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