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Multimodal Slack AI assistant with voice, image & video processing

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Multimodal Slack AI assistant with voice, image & video processing preview
Open on n8n.io

Important notice

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

1. Workflow Overview

What it's for: This is a base template for anyone trying to develop a Slack bot AI Agent. This base allows for multiple inputs (Voice, Picture, Video, and Text inputs) to be processed by an AI mode...

Best for

  • AI Chatbot automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.switch, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.openai, @n8n/n8n-nodes-langchain.memorybufferwindow, n8n-nodes-base.datetimetool, @n8n/n8n-nodes-langchain.lmchatanthropic, n8n-nodes-base.stickynote, n8n-nodes-base.merge

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title
Multimodal Slack AI assistant with voice, image & video processing
Workflow name
Multimodal Slack AI assistant with voice, image & video processing

What it's for:

This is a base template for anyone trying to develop a Slack bot AI Agent. This base allows for multiple inputs (Voice, Picture, Video, and Text inputs) to be processed by an AI model of their choosing to a get a User started. From here, the User may connect any tools that they see fit to the AI Agent for their n8n workflows.

NOTE: This build is specifically for integrating a Slack bot into a CHAT Channel

If you want to allow the Slack bot to be integrated into the whole workspace, you'll need to adjust some of the nodes and bot parameters

How it works:

Input: Slack message mentioning a bot in a chat channel

n8n Processing: Switch node determines the type:

  1. Voice Message
  2. Picture Message
  3. Video Message
  4. Text Message

(Currently uses OpenAI and Gemini to analyze Voice/Photo/Video content but feel free to change these nodes with other models)

AI Agent Proccessing: LLM of your choosing examines message and based on system prompt, generates an output

Output: AI Output is sent back in Slack Message

How to use:

1. Create your Slack bot and generate access token

This part will be longest part of the guide but feel free to Youtube search "How to install Slack AI agent" or soemthing similar in case it's hard to follow

  • Sign in to the Slack website then go to: https://api.slack.com/apps/
  • Click "Create App" (Top Right Corner)
  • Choose "From Scratch"
  • Enter desired name of App (bot) and desired workspace
  • Go to "OAuth and Permissions" tab on the left side of the webpage
  • Scroll to "Bot Token Scopes" and Add Permissions: - app_metions:read - channels:history - channels:join - channels:read - chat:write - files:read - links:read - links:write

(Feel free to add other permissions here. These are just the ones that will be needed for the automation to work)

  • Next, go to "Event Subscriptions" and paste your n8n webhook URL (Find webhook URL by clicking on the Slack trigger node and there should be a dropdown for webhook URL at the very top)
  • Go back to "OAuth & Permissions" Tab and install your bot to the Slack workspace (should be a green button under the "Bot User OAuth Token" (Remember where this token is for later because you'll need it to create the n8n credentials)
  • Add the bot to your channel by going to your channel, then type "@[your bot name]"
  • Should be a message from Slack to add bot to Channel
  • Congrats for following along, you've added the bot to your channel!

2. Create Credentials in n8n

  • Open Slack trigger node
  • Click create credential
  • Paste access token (If you followed the steps above, it'll be under "OAuth & Permissions" -> Copy the "Bot User OAuth Token" and paste it in n8n accesss
  • Save

3. Add Bot Token to HTTP Request nodes

  • Open HTTP Request Nodes (Nodes under the "Downlaod" Note - Scroll down and paste your Bot Access token under "Header Parameters". Should be a placeholder "[Your bot access token goes here]".
  • NOTE: Replace everything, including the square brackets
  • Do not remove "Bearer". Only replace the placeholder. Finalized Authorization value should be: "Bearer + [Your bot access token]" NOT "[Your bot access token ONLY]"

4. Change ALL Slack nodes to your Slack Workspace and Channel

  • Open the nodes, change workspace to your workspace
  • Change channel to your channel
  • Do this for all nodes

5. Create LLM access token

(Different per LLM but search your LLM + API in google)

  • (You will have to create an account with the LLM platform)
  • Buy credits to use LLM API
  • Generate Access token
  • Paste token in LLM node
  • Choose your model

Requirements:

  • Slack Bot Access Token
  • Google Gemini Access Token (For Picture and Video messages)
  • OpenAI Access Token (For Voice messages)
  • LLM Access Token (Your preference for the AI Agent)

Customizing this workflow:

  • To personalize the AI Output, adjust the system prompt (give context or directions on the AI's role)
  • Add tools to the AI agent to give it more utility besides a personalied LLM (Example: Calendars, Databases, etc).

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 - Switch

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

Block 2 - AI Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 2.2

Block 3 - Transcribe a recording

Type / Role
@n8n/n8n-nodes-langchain.openAi - openAi
Config choices
Version 1.8

Block 4 - Simple Memory

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

Block 5 - Date & Time

Type / Role
n8n-nodes-base.dateTimeTool - dateTimeTool
Config choices
Version 2

Block 6 - Anthropic Chat Model

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

Block 7 - Sticky Note

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

Block 8 - Sticky Note1

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

Block 9 - Sticky Note2

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

Block 10 - Sticky Note3

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

Block 11 - Sticky Note4

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

Block 12 - Sticky Note5

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

Block 13 - Sticky Note6

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

Block 14 - Sticky Note7

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

Block 15 - Sticky Note8

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

Block 16 - Sticky Note9

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

Block 17 - Sticky Note10

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

Block 18 - Sticky Note11

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

Block 19 - Merge

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

Block 20 - Sticky Note12

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

Block 21 - Sticky Note13

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

Block 22 - Sticky Note14

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

Block 23 - Analyze video

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

Block 24 - Analyze an image

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

Showing the first 24 of 34 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow Multimodal Slack AI assistant with voice, image & video processing
Complexity advanced
Nodes 34
Categories AI Chatbot
Author Keith Uy
Published 01 Oct 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/9149/9149.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

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

  4. 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. 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.

Frequently asked questions

What does Multimodal Slack AI assistant with voice, image & video processing do?

What it's for: This is a base template for anyone trying to develop a Slack bot AI Agent. This base allows for multiple inputs (Voice, Picture, Video, and Text inputs) to be processed by an AI mode...

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 AI Chatbot use case.