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AI Document Translator workflow blueprint

Translate documents between languages with a back-translation quality check

See where this blueprint fits in the production workflow lifecycle
Content
Translation
Quality
Multilingual
Request access
Pattern
Dag
Agents
2
Functions
0
MCP servers
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

    Required

    Document text to translate

    Type: String
  • Target Language

    Required

    Target 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.

  1. Translator

    Agent using Translator

  2. 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.

AI agent

Translator

Translate the document to the target language preserving meaning, tone, and formatting.

AI agent

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:

Translator

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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