Translate Telegram audio messages with AI (55 supported languages)

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Use case This workflow enables a Telegram bot that can: Accept speech input in one of 55 supported languages Automatically detect the language spoken and translate the speech to another language Re...

Best for

Personal Productivity automation workflows
Multimodal AI automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.telegramtrigger, n8n-nodes-base.stickynote, n8n-nodes-base.telegram, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.chainllm, @n8n/n8n-nodes-langchain.openai

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Derek Cheung.

Original n8n.io source

1.1 Workflow description

Title: Translate Telegram audio messages with AI (55 supported languages)
Workflow name: Translate Telegram audio messages with AI (55 supported languages)

Use case

This workflow enables a Telegram bot that can:

Accept speech input in one of 55 supported languages
Automatically detect the language spoken and translate the speech to another language
Responds back with the translated speech output.

This allows users to communicate across language barriers by simply speaking to the bot, which will handle the translation seamlessly.

How does it work?

Translation

In the translation step the workflow converts the user's speech input to text and detects the language of the input text.

If it's English, it will translate to French. If it's French, it will translate to English.

To change the default translation languages, you can update the prompt in the AI node.

Output

In the output step, we provide the translated text output back to the user and speech output is generated in the translated language.

Setup steps

Obtain Telegram API Token

Start a chat with the BotFather.
Enter /newbot and reply with your new bot's display name and username.
Copy the bot token and use it in the Telegram node credentials in n8n.

Update the Settings node to customize the desired languages
Activate the flow

Full list of supported languages

All supported languages:

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Telegram Trigger

Type / Role: n8n-nodes-base.telegramTrigger - telegramTrigger
Config choices: Version 1

Block 2 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 3 - Text reply

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1

Block 4 - Telegram1

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.1

Block 5 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1

Block 6 - Input Error Handling

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.2

Block 7 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 8 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 9 - Settings

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.3

Block 10 - Auto-detect and translate

Type / Role: @n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices: Version 1.4

Block 11 - Audio reply

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.1

Block 12 - OpenAI2

Type / Role: @n8n/n8n-nodes-langchain.openAi - openAi
Config choices: Version 1.3

Block 13 - OpenAI

Type / Role: @n8n/n8n-nodes-langchain.openAi - openAi
Config choices: Version 1.3

3. Summary Table

Workflow	Translate Telegram audio messages with AI (55 supported languages)
Complexity	intermediate
Nodes	13
Categories	Personal Productivity, Multimodal AI
Author	Derek Cheung
Published	29 Mar 2024

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/2206/2206.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Personal Productivity workflows Multimodal AI workflows

Frequently asked questions

What does Translate Telegram audio messages with AI (55 supported languages) do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Personal Productivity, Multimodal AI use case.

Derek Cheung

15 workflows

Nodes

n8n-nodes-base.telegramtrigger n8n-nodes-base.stickynote n8n-nodes-base.telegram @n8n/n8n-nodes-langchain.lmchatopenai n8n-nodes-base.set @n8n/n8n-nodes-langchain.chainllm @n8n/n8n-nodes-langchain.openai

Complexity

intermediate

Published 29 Mar 2024

Likes 0

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Install path: /data/workflows/2206/2206.json

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Translate Telegram audio messages with AI (55 supported languages)

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Use case

How does it work?

Translation

Output

Setup steps

Full list of supported languages

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Telegram Trigger

Block 2 - Sticky Note1

Block 3 - Text reply

Block 4 - Telegram1

Block 5 - OpenAI Chat Model

Block 6 - Input Error Handling

Block 7 - Sticky Note

Block 8 - Sticky Note2

Block 9 - Settings

Block 10 - Auto-detect and translate

Block 11 - Audio reply

Block 12 - OpenAI2

Block 13 - OpenAI

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions