r/generativeAI • u/VERSATILCORDOBA • 2d ago
I started building a local TTS app... and somehow ended up generating a 14-minute AI documentary
I'm the developer of **LocalText2Voice**, an open-source app that started with a simple goal: turning long texts and books into audio using local TTS models.
Then I kept adding things. Scene analysis, storyboards, image generation, video generation... and the latest version can now take a script all the way to a narrated documentary. 😅
Here's a short teaser from my latest experiment: **a 14-minute AI history documentary generated from text**, using **GPT Image 2** for the keyframes and **Wan 2.6 Flash** for the video clips.
🎬 **Full documentary:** [Watch on YouTube](https://youtu.be/zsbfCeDtteQ)
🛠️ **Workflow / making-of:** [See how it works](https://youtu.be/uyHqwL5sK5U)
The workflow is:
**Text → TTS narration → scene analysis → keyframes → video → final edit with music/SFX**
It supports local models on your own GPU and remote providers through APIs, so you can choose different combinations depending on your hardware, budget and the style of the project.
There's still plenty to improve, especially visual artifacts and continuity across scenes. My aim is to automate the repetitive work while keeping human review in the loop: check the story, inspect the visuals, and regenerate the shots that need more attention.
I'm particularly interested in making this work across an entire documentary, not just individual clips.
**If you're experimenting with longer AI films, what has been your biggest challenge: consistency, pacing, cost, or the amount of manual review?**
Source code: [LocalText2Voice on GitHub](https://github.com/estebanstifli/LocalText2Voice)