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Summarize RSS articles with Gemini and OpenAI, send to Slack, and save TTS audio

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Open on n8n.io

1. Workflow Overview

Who’s it for This workflow is designed for Japanese speaking professionals, and learners who want to efficiently stay up to date with practical productivity, lifehack, and efficiency related insigh...

Best for

  • Market Research automation workflows
  • Multimodal AI automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.scheduletrigger, n8n-nodes-base.rssfeedread, n8n-nodes-base.merge, @n8n/n8n-nodes-langchain.chainllm, @n8n/n8n-nodes-langchain.lmchatgooglegemini, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.httprequest, n8n-nodes-base.code

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title
Summarize RSS articles with Gemini and OpenAI, send to Slack, and save TTS audio
Workflow name
Summarize RSS articles with Gemini and OpenAI, send to Slack, and save TTS audio

## Who’s it for

This workflow is designed for Japanese-speaking professionals, and learners who want to efficiently stay up to date with practical productivity, lifehack, and efficiency-related insights from Japanese content platforms such as blogs and media sites.

It is particularly suitable for individuals who prefer actionable, real-world tips—such as workflow improvements, time management strategies, and daily efficiency techniques—rather than abstract motivational content.

This workflow is also ideal for users who want to consume information not only as text but also as audio, enabling hands-free learning during commuting or multitasking.


## What it does

This workflow automatically collects, evaluates, summarizes, and delivers high-quality Japanese productivity and lifehack articles from multiple RSS sources such as Roomie, Lifehacker, and note.

It retrieves articles published within the last 24 hours, merges multiple RSS feeds, and filters them for relevance.

Then, AI evaluates the articles based on practical usefulness, reproducibility, and clarity, selecting only the top 10 most valuable pieces.

For each selected article, the workflow:

  • Fetches the full article content
  • Cleans and extracts readable text
  • Generates structured summaries in Japanese, including:
  • Summary
  • Target audience
  • Use cases
  • Expected effects

Additionally, the workflow converts the summarized content into natural, audio-friendly narration using AI, allowing users to listen to the information like a daily news briefing.

Finally, it sends text summaries to Slack for easy daily consumption, while optionally saving audio outputs to Google Drive for later access and playback.


## How it works

  1. A scheduled trigger starts the workflow automatically at a specified time.
  2. RSS feeds from multiple sources (Roomie, Lifehacker, note hashtags) are fetched.
  3. All articles are merged into a single dataset.
  4. Articles are filtered to include only those published within the last 24 hours.
  5. Article data is normalized into a structured format for AI processing.
  6. Gemini AI evaluates and ranks articles based on practical value and selects the top 10.
  7. Each article link is accessed and HTML content is retrieved.
  8. HTML is cleaned and converted into readable text data.
  9. OpenAI generates structured summaries in Japanese.
  10. Another AI step converts summaries into natural, spoken-style Japanese scripts.
  11. The scripts are converted into audio files (text-to-speech) and stored in Google Drive.
  12. The summarized text results are formatted and delivered to Slack.

## Requirements

  • Google Gemini API credentials
  • OpenAI API credentials
  • Slack OAuth2 credentials
  • (Optional) Google Drive credentials for audio file storage
  • A Slack channel for receiving notifications

## How to set up

Set up your API credentials within n8n, configure the Slack destination channel, and activate the workflow.

If audio generation is enabled, ensure your OpenAI API has access to text-to-speech features and optionally connect Google Drive for file storage.

You can also adjust scheduling settings and AI prompts to match your preferences.


## How to customize the workflow

You can customize this workflow by:

  • Adding or replacing RSS sources (e.g., specific Japanese productivity blogs or niche communities)
  • Adjusting the filtering window (e.g., last 48 hours instead of 24 hours)
  • Modifying AI scoring criteria (e.g., prioritize beginner-friendly or advanced content)
  • Changing summary structure (e.g., adding “key takeaway” or “action steps”)
  • Customizing Slack message format for readability
  • Enabling or disabling audio generation
  • Changing narration tone or style for audio output
  • Switching output language if needed

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 - Trigger: Schedule Workflow

Type / Role
n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices
Version 1.3

Block 2 - Fetch RSS: Roomie Feed

Type / Role
n8n-nodes-base.rssFeedRead - rssFeedRead
Config choices
Version 1.2

Block 3 - Merge: Combine All RSS Feeds

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

Block 4 - AI: Rank Articles by Practical Value

Type / Role
@n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices
Version 1.9

Block 5 - Model: Gemini

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

Block 6 - Parser: Structured JSON

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

Block 7 - Fetch: Article HTML

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.4

Block 8 - Format: Slack Message Output

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

Block 9 - Notify: Send Summary to Slack

Type / Role
n8n-nodes-base.slack - slack
Config choices
Version 2.4

Block 10 - AI: Generate Structured Summary

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3.1

Block 11 - Model: OpenAI

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

Block 12 - Filter: Articles from Last 24 Hours

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

Block 13 - Aggregate: Build Article Array

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

Block 14 - Split: Top 10 Articles

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

Block 15 - STEP1

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

Block 16 - STEP2

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

Block 17 - STEP3

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

Block 18 - STEP4

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

Block 19 - STEP5

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

Block 20 - STEP6

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

Block 21 - WORKFLOW OVERVIEW

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

Block 22 - Prepare: Extract Article Link for HTTP

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 23 - Transform: Normalize Article Data

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 24 - Extract: Clean Text from HTML

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

Showing the first 24 of 37 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow Summarize RSS articles with Gemini and OpenAI, send to Slack, and save TTS audio
Complexity advanced
Nodes 37
Categories Market Research, Multimodal AI
Author Koyanagi Naoyuki
Published 16 Apr 2026

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/15096/15096.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 Summarize RSS articles with Gemini and OpenAI, send to Slack, and save TTS audio do?

Who’s it for This workflow is designed for Japanese speaking professionals, and learners who want to efficiently stay up to date with practical productivity, lifehack, and efficiency related insigh...

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 Market Research, Multimodal AI use case.