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Translate & repost Twitter threads in multiple languages with OpenAI

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2/3/2026
Contact ManagementError HandlingSalesforceCRMAPI Automation
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Twitter Thread (Flood) Translator & Poster

What it does

  • Thread Extraction: Automatically detects and extracts all tweets from a provided Twitter thread (flood) link.
  • Translation: Translates each extracted tweet into your target language using OpenAI.
  • Rewriting: Rewrites each translated tweet to maintain the original meaning while improving clarity or style.
  • Automated Posting: Posts the rewritten tweets as a new thread on Twitter using twitterapi.io, preserving the original thread structure.

How it works

  • Accepts a Twitter thread (flood) link as input.
  • Extracts all tweets from the thread in their original order.
  • Each tweet is sent to OpenAI for translation into your desired language.
  • The translated tweets are then rewritten for clarity and natural flow, while keeping the original meaning intact.
  • The processed tweets are automatically posted as a new thread on your Twitter account via twitterapi.io.

Setup Steps

  1. Create a Notion Database:
    Set up a database page in Notion to store and manage your Twitter links and workflow data.
  2. Configure Notion Integration:
    Add the created database page ID to the Notion nodes in your workflow.
  3. Set Twitter API Credentials:
    Add your twitterapi.io API key to the relevant nodes.
  4. Add Twitter Account Details:
    Enter your Twitter account username/email and password for authentication.
  5. Set Up OpenAI Credentials:
    Provide your OpenAI API credentials to enable translation and rewriting.
  6. Subworkflow Integration:
    Create a separate workflow for subworkflow logic and call it using the Execute Workflow node for modular automation.
  7. Set Desired Language & Thread Link:
    Change the target language and Twitter thread (flood) link directly in the Manual Trigger node to customize each run.

Benefits

  • Ultra Low Cost: Total cost for a 15-tweet thread (flood) is just $0.016 USD ($0.015 for twitterapi.io + $0.001 for OpenAI API). (Actual cost may vary depending on the density of tweets in the thread.)
  • End-to-End Automation: Go from thread extraction to translation, rewriting, and reposting-all in one workflow.
  • Multilingual Support: Effortlessly translate and republish Twitter threads in any supported language.

> Note: Detailed configuration instructions and node explanations are included as sticky notes within the workflow canvas.

Ideal for:

  • Content creators looking to reach new audiences by translating and republishing Twitter threads
  • Social media managers automating multilingual content workflows
  • Anyone wanting to streamline the process of thread extraction, translation, and posting

Notes

  • This workflow is not able to post images or videos to Twitter-it handles text-only threads.

n8n Workflow: Translate and Repost Twitter Threads with OpenAI

This n8n workflow automates the process of translating and reposting Twitter (now X) threads into multiple languages using OpenAI's chat model. It's designed to help you expand the reach of your content by making it accessible to a wider, multilingual audience.

What it does

This workflow is a sub-workflow, meaning it's designed to be called by another main workflow. When executed, it performs the following steps:

  1. Receives Thread Data: It starts by receiving a Twitter thread's content as input from a parent workflow.
  2. Prepares for Translation: A "Code" node processes the incoming data, likely extracting the text to be translated and preparing it for the AI model.
  3. Translates with OpenAI: An "OpenAI Chat Model" node uses a large language model to translate the provided text into a target language.
  4. Filters for Valid Translations: An "If" node checks if the translation was successful or if there's any content to post.
  5. Posts to X (Twitter): If a valid translation is available, an "X (Formerly Twitter)" node posts the translated content as a new tweet.
  6. Handles Threading: If the original content was a thread, the workflow intelligently posts each translated part as a reply to the previous tweet, maintaining the thread structure.
  7. Logs to Notion (Optional): A "Notion" node can be used to log the translated and posted tweets, providing a record of the activity.
  8. Manages Delays: "Wait" nodes are strategically placed to introduce delays between posting tweets, respecting API rate limits and ensuring a natural posting rhythm.
  9. Merges and Continues: "Merge" nodes combine paths, ensuring the workflow continues correctly after conditional branches or loops.
  10. Loops for Multiple Items: A "Loop Over Items (Split in Batches)" node processes each item in a thread or multiple threads, ensuring all parts are handled.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running instance of n8n.
  • OpenAI API Key: For the "OpenAI Chat Model" node to perform translations.
  • X (Twitter) Account: Configured as a credential in n8n, with necessary permissions to post tweets.
  • Notion Integration (Optional): If you wish to log activity to Notion, you'll need a Notion API key and a configured database.

Setup/Usage

  1. Import the Workflow: Download the JSON provided and import it into your n8n instance.
  2. Configure Credentials:
    • Add your OpenAI API Key credential to the "OpenAI Chat Model" node.
    • Add your X (Formerly Twitter) credential to the "X" nodes.
    • (Optional) Add your Notion credential to the "Notion" node if you plan to use it.
  3. Integrate as a Sub-workflow: This workflow is designed to be called by a parent workflow using the "Execute Sub-workflow" node. The parent workflow should provide the thread content as input to this sub-workflow.
  4. Activate the Workflow: Once configured, activate the workflow in n8n. It will then be ready to be triggered by your main workflow.

This workflow provides a robust solution for automating multilingual content distribution on X, significantly reducing manual effort and expanding your audience reach.

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