Podcast to X (Twitter) pipeline with OpenAI Whisper, GPT-4o & Slack approval

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Important notice

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

1. Workflow Overview

Best for

Content Creation automation workflows
Multimodal AI automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, n8n-nodes-base.scheduletrigger, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.slack, n8n-nodes-base.twitter, n8n-nodes-base.code, n8n-nodes-base.set, n8n-nodes-base.httprequest

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Podcast to X (Twitter) pipeline with OpenAI Whisper, GPT-4o & Slack approval
Workflow name: Podcast to X (Twitter) pipeline with OpenAI Whisper, GPT-4o & Slack approval

Turn your favorite podcast episodes into engaging social media content automatically. This workflow fetches new episodes from an RSS feed, transcribes the audio using OpenAI Whisper, generates a concise summary using GPT-4o, and drafts a tweet. It then sends the draft to Slack for your review before posting it to X (Twitter).

Who is this for

Content creators, social media managers, and podcast enthusiasts who want to share insights without manually listening to and typing out every episode.

Key Features

Large File Support: Includes a custom logic to download audio in chunks, ensuring stability even with long episodes (preventing timeouts).
Human-in-the-Loop: Nothing gets posted without your approval. You can review the AI-generated draft in Slack before it goes live.
High-Quality AI: Uses OpenAI's Whisper for accurate transcription and GPT-4o for intelligent summarization.

How it works

Monitor: Checks the Podcast RSS feed daily for new episodes.
Process: Downloads the audio (handling large files via chunking) and transcribes it.
Draft: AI summarizes the transcript into bullet points and formats it for X (Twitter).
Approve: Sends the draft to a Slack channel.
Publish: Once approved by you, it posts the tweet to your X account.

Requirements

OpenAI API Key
Slack Account & App (Bot Token)
X (Twitter) Developer Account (OAuth2)

Setup instructions

RSS Feed: The template defaults to "TED Talks Daily" for demonstration. Open the [Step 1] RSS node and replace the URL with your target podcast.
Connect Credentials: Set up your credentials for OpenAI, Slack, and X (Twitter) in the respective nodes.
Slack Channel: In the [Step 12] Slack node, select the Channel ID where you want to receive the approval request.

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 - 付箋9

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

Block 2 - Sticky Note

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

Block 3 - Sticky Note1

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

Block 4 - Sticky Note2

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

Block 5 - [Step 0] Schedule — Daily 09:

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

Block 6 - Sticky Note3

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

Block 7 - Sticky Note4

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

Block 8 - [Step 11] LLM — Summarize as News Bullets

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

Block 9 - [Step 12] Slack — Review & Approve

Type / Role: n8n-nodes-base.slack - slack
Config choices: Version 2.3

Block 10 - [Step 13] X (Twitter) — Post Tweet

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

Block 11 - [Step 10] Text — Merge Transcript & Pass Date

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

Block 12 - [Step 9] Text — Attach Part Number

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

Block 13 - [Step 8] Speech-to-Text — Transcribe Chunks

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

Block 14 - [Step 7] HTTP — Download Chunk

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 15 - [Step 6] Chunk — Plan Byte Ranges

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

Block 16 - [Step 5] HTTP — Probe Content-Range (0–0)

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 17 - [Step 4] Item — Select Enclosure URL & Date

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

Block 18 - [Step 3] Date — Format as YYYY-MM-DD

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

Block 19 - [Step 2] RSS — Take Latest Item

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

Block 20 - [Step 1] RSS — Fetch Feed

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

3. Summary Table

Workflow	Podcast to X (Twitter) pipeline with OpenAI Whisper, GPT-4o & Slack approval
Complexity	advanced
Nodes	20
Categories	Content Creation, Multimodal AI
Author	Shun Nakayama
Published	15 Oct 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/9710/9710.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 Content Creation workflows Multimodal AI workflows

Frequently asked questions

What does Podcast to X (Twitter) pipeline with OpenAI Whisper, GPT-4o & Slack approval 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 Content Creation, Multimodal AI use case.

Shun Nakayama

7 workflows

Nodes

n8n-nodes-base.stickynote n8n-nodes-base.scheduletrigger @n8n/n8n-nodes-langchain.openai n8n-nodes-base.slack n8n-nodes-base.twitter n8n-nodes-base.code n8n-nodes-base.set n8n-nodes-base.httprequest

Complexity

advanced

Published 15 Oct 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/9710/9710.json

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Podcast to X (Twitter) pipeline with OpenAI Whisper, GPT-4o & Slack approval

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Who is this for

Key Features

How it works

Requirements

Setup instructions

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - 付箋9

Block 2 - Sticky Note

Block 3 - Sticky Note1

Block 4 - Sticky Note2

Block 5 - [Step 0] Schedule — Daily 09:

Block 6 - Sticky Note3

Block 7 - Sticky Note4

Block 8 - [Step 11] LLM — Summarize as News Bullets

Block 9 - [Step 12] Slack — Review & Approve

Block 10 - [Step 13] X (Twitter) — Post Tweet

Block 11 - [Step 10] Text — Merge Transcript & Pass Date

Block 12 - [Step 9] Text — Attach Part Number

Block 13 - [Step 8] Speech-to-Text — Transcribe Chunks

Block 14 - [Step 7] HTTP — Download Chunk

Block 15 - [Step 6] Chunk — Plan Byte Ranges

Block 16 - [Step 5] HTTP — Probe Content-Range (0–0)

Block 17 - [Step 4] Item — Select Enclosure URL & Date

Block 18 - [Step 3] Date — Format as YYYY-MM-DD

Block 19 - [Step 2] RSS — Take Latest Item

Block 20 - [Step 1] RSS — Fetch Feed

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