AkshitIreddy/AI-Powered-Video-Tutorial-Generator

Create AI-Generated Video Tutorials with Character Animation and Slides!

What it solves

AI Video Tutorial Generator is a local-first desktop environment designed to transform complex ideas or source materials into structured, source-grounded educational videos. It solves the problem of creating high-quality tutorials while maintaining full ownership of project data and providing a flexible choice between local AI models and cloud-based providers.

How it works

The system uses a supervised pipeline that moves from research to final export through several stages:

  1. Research & Planning: It processes input sources (PDFs, code, websites, etc.) to create an evidence ledger, concept graph, and script.
  2. Storyboarding: The script is converted into a storyboard with assigned speakers and visual elements.
  3. Asset Generation: The tool generates narration, captions, and optional visual assets (images or presenters) using a Bring-Your-Own-Key (BYOK) model or local weights.
  4. Rendering: A deterministic renderer uses Chromium and FFmpeg to compile scenes into a final video file.
  5. Review & QA: Users can review claims for factual accuracy (Grounded vs. Strict modes) and perform bounded repairs before exporting.

Who it’s for

Educators, technical writers, and content creators who need to produce evidence-based educational videos and prefer a local-first workflow for privacy and data ownership.

Highlights

  • Local-First Architecture: Projects and artifacts are stored in local directories using SQLite and content-addressed storage, with no required cloud account.
  • Flexible AI Integration: Supports a wide range of providers (OpenAI, Anthropic, Gemini, NVIDIA NIM, etc.) and local model weights (Qwen, FLUX, Kokoro) via a BYOK system.
  • Source-Grounded Content: Includes a research pipeline that connects factual claims to immutable source versions and exact text offsets.
  • Comprehensive Scene System: A typed registry covering everything from code walkthroughs and formulas to simulations and quizzes.
  • Deterministic Rendering: Ensures consistent output across different targets (landscape, portrait, square) using a frame-driven path.

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