This Langflow flow implements a web-to-audio content automation pipeline.

It begins by ingesting a blog URL and scraping the page content. Parsing and cleaning components remove navigation, ads, and boilerplate so only the article body remains. The flow then restructures the content into a narration-friendly script, optionally adding headings, transitions, and a short intro/outro to improve listening quality.

A voice selection stage chooses a suitable ElevenLabs voice based on the target audience and desired tone (e.g., professional, warm, energetic). This supports consistent branding while adapting delivery to different content types.

Next, the workflow generates audio using ElevenLabs text-to-speech, applying settings such as stability, style, and pacing to achieve a polished, podcast-like sound. The flow can also generate metadata (title, summary, tags) to organize outputs.

Finally, OneDrive integration uploads the resulting audio file to a configured folder using consistent naming conventions, enabling easy sharing and downstream distribution workflows.

The flow can be extended to support batch processing and multi-channel publishing. Add scheduling and feed ingestion to automatically convert newly published posts, and implement deduplication so the same URL is not processed twice. You can generate multiple voice variants per brand/persona, create short audio trailers for social distribution, and integrate with podcast hosting platforms to publish episodes directly. For quality control, add pronunciation dictionaries and a review gate for high-visibility content. Advanced setups can store scripts and audio metadata in a database for search, analytics, and reuse across campaigns.