Fully automated pipeline: Wikipedia → AI Narrated Video (Python + OpenAI)

I’ve been experimenting with building end-to-end automation for turning Wikipedia articles into narrated, illustrated videos — no manual editing required.

Here’s the pipeline:

1. Source – Select and scrape a Wikipedia article.
2. Text Processing – Use GPT-4o to refine text for narration.
3. Audio Generation – Create narration with OpenAI TTS, then clean the audio.
4. Image Generation – Generate supporting visuals via DALL·E 3.
5. Assembly – Combine narration + visuals into a video file.
6. Metadata – Auto-generate title, description, tags.
7. Upload – Push directly to YouTube.
8. Bonus – Automatically clip shorts from the long-form video.

The whole process runs from a Python script with minimal intervention — basically just choosing the article.

Some lessons learned:

• AI speeds up development, but you still need to debug and glue components together.
• Cross-feeding outputs between different LLMs improved quality.
• Most bottlenecks were in image generation runtime.

Happy to share code structure, automation logic, or my approach to chaining AI tools if anyone’s interested in replicating or modifying it for other types of content.

https://preview.redd.it/unqu4gj6gvif1.png?width=1918&format=png&auto=webp&s=cc01932612fca1034f6bf6338b45fde90a2fbb87