Obsidian Notes Read Aloud: Available as a Podcast Feed
This workflow automatically converts Obsidian notes into audio files and generates a standard podcast RSS feed, compatible with major podcast platforms. By utilizing text-to-speech technology and language models, it quickly generates audio and program descriptions, and uploads the audio files to cloud storage. Users can dynamically manage podcast metadata through Google Sheets, enabling bulk updates and efficient publishing, significantly simplifying the content creation and podcast publishing process.
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Workflow Name
Obsidian Notes Read Aloud: Available as a Podcast Feed
Key Features and Highlights
This workflow automates the conversion of Obsidian note content into audio files and generates a standard podcast RSS feed compatible with major podcast platforms such as Apple Podcasts, Google Podcasts, and Spotify. Leveraging OpenAI's text-to-speech (TTS) and language models, it automatically produces audio recordings and engaging episode descriptions. Audio files are uploaded to Cloudinary cloud storage for easy management and access. Podcast metadata is dynamically managed via Google Sheets, supporting batch processing and continuous updates, significantly enhancing content publishing efficiency.
Core Problems Addressed
- Manual conversion of text notes to audio is tedious and time-consuming
- Generation and maintenance of podcast RSS feeds are complex
- Podcast publishing workflows across multiple platforms are fragmented and lack automation
- Management of podcast metadata and audio files is inconvenient
This workflow resolves these pain points through automation, enabling one-click transformation of notes into podcasts and streamlining content creation and distribution.
Use Cases
- Knowledge workers and content creators who want to convert text notes into audio podcasts
- Users aiming to quickly share daily notes with audiences in podcast format
- Individuals or organizations building dedicated podcast channels with automated content management and updates
- Those needing automatic generation of podcast descriptions and metadata to optimize user experience
Main Workflow Steps
- Users install the Post Webhook plugin in Obsidian to send selected note content to an n8n Webhook.
- The OpenAI text-to-speech node is triggered to generate the corresponding MP3 audio file.
- Simultaneously, OpenAI’s language model generates a concise and engaging podcast episode description.
- The generated audio file is named and uploaded to Cloudinary cloud storage to obtain the audio URL and duration metadata.
- Audio file information and descriptions are consolidated, formatted, and stored in a Google Sheets spreadsheet as the podcast episode data source.
- An RSS XML feed compliant with podcast standards is dynamically generated based on the data in Google Sheets.
- The generated RSS feed is returned via the Webhook interface, enabling real-time podcast updates and distribution.
- The audio file is also sent back to Obsidian for convenient local management by the user.
Involved Systems and Services
- Obsidian (sending note content via the Post Webhook plugin)
- OpenAI (text-to-speech service and text summarization)
- Cloudinary (audio file upload and storage)
- Google Sheets (podcast metadata management and storage)
- n8n Webhook (request reception, workflow triggering, and response output)
- Podcast platform-compatible RSS standards (supporting Apple, Google, Spotify, etc.)
Target Users and Value Proposition
- Content creators, podcast producers, and knowledge workers
- Users who need rapid conversion of text notes into audio content
- Individuals or teams seeking automated management of podcast episodes and RSS feeds
- Users aiming to improve content production efficiency and simplify podcast publishing workflows
This workflow significantly enhances the automation level of note audio conversion and podcast publishing, empowering users to effortlessly create personal or branded podcast channels and achieve multi-channel content distribution.
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