slide-to-video-converter

End-to-end pipeline for converting PPT/PPTX/PDF slides with speaker notes into narrated MP4 videos. Defaults to Edge TTS (Microsoft free online API) for universal compatibility. Supports three TTS modes: Edge TTS (default), Qwen3-TTS (local GPU acceleration), and HTTP service. Features audio validation, auto-synced subtitles, batch processing, and PPTX support via LibreOffice conversion. Input: PPT/PPTX/PDF file + JSON subtitles. Output: High-quality MP4 video with narration and subtitles. Use when users want to: (1) Automate video creation from presentations, (2) Generate training/lecture videos with TTS, (3) Batch produce slide-based content, (4) Create videos with consistent quality control, (5) Convert PPTX files to video.

Complete end-to-end pipeline for converting PPT/PPTX/PDF slides with speaker notes into high-quality narrated MP4 videos with auto-synced subtitles.

Architecture

3-Stage Pipeline with Audio Validation

text

Stage 1: Audio Generation & Validation
┌─────────────────────────────────────────────────────────┐
│ PPTX/PDF → Images (png)                                 │
│ Script → TTS → Audio → STT Validation → Validated Audio│
└─────────────────────────────────────────────────────────┘

Stage 2: Per-Slide Video Composition
┌─────────────────────────────────────────────────────────┐
│ Image + Validated Audio + Subtitle → Individual MP4      │
└─────────────────────────────────────────────────────────┘

Stage 3: Final Video Assembly
┌─────────────────────────────────────────────────────────┐
│ Merge All Slide Videos → final.mp4                      │
└─────────────────────────────────────────────────────────┘

TTS Mode Support

• Edge TTS (Default): Free online API, no local model required
• Qwen3-TTS: Local GPU acceleration (Apple Silicon)
• HTTP Service: Independent TTS server for multi-client usage

PPTX Support

• PPTX → PDF → PNG: Optimized conversion path using LibreOffice for best quality
• Fallback Method: Python-pptx based conversion when LibreOffice not available
• Auto-detection: Automatically uses PPTX if PDF not available

Workflow

Step 1: Prepare Inputs

Require two inputs from the user:

1. Slide file: PPT/PPTX or PDF. Supports automatic PPTX conversion:

   • PPTX: Uses LibreOffice for high-quality conversion (recommended)
   • PDF: Direct conversion using pdf2image
   • Auto-detection: Automatically uses PPTX if PDF not available

2. Speaker notes: A JSON file with per-page narration. See references/script-format.md for the expected format.

Step 2: Install Dependencies

bash

# System dependencies
brew install poppler ffmpeg libreoffice   # macOS (add libreoffice for PPTX support)
# apt install poppler-utils ffmpeg libreoffice   # Linux

# Python dependencies
pip install -U mlx-audio soundfile numpy edge-tts pdf2image Pillow moviepy python-pptx

# Optional: HTTP service dependencies
pip install fastapi uvicorn python-multipart

Step 3: Run Pipeline (Default: Edge TTS)

Default Mode: Edge TTS - Free online API (recommended for universal compatibility)

bash

python scripts/pipeline.py

PPTX Support Options:

bash

# Use PPTX file (if both PDF and PPTX exist)
python scripts/pipeline.py --use-pptx

# Force PPTX conversion even if PDF exists
python scripts/pipeline.py --use-pptx --force-audio

# PPTX with fallback method (no LibreOffice required)
python scripts/pipeline.py --use-pptx --fallback

Alternative TTS Modes:

Edge TTS - Free online API, no local model required (default)

bash

python scripts/pipeline.py --tts-edge

HTTP Service - Independent TTS server for multi-client usage

bash

# Start TTS server
python scripts/tts_server.py &
# Run pipeline
python scripts/pipeline.py --tts-http

Qwen3-TTS - Local GPU acceleration

bash

python scripts/pipeline.py --tts-direct

Step 4: Run Pipeline

bash

# Full pipeline with audio validation
python scripts/pipeline.py

# Specific slides only
python scripts/pipeline.py --slides 1-5

# Fast preview mode (lower quality, quicker)
python scripts/pipeline.py --fast

# Skip image generation (use existing)
python scripts/pipeline.py --skip-images

# Force regenerate audio
python scripts/pipeline.py --force-audio

# Skip audio validation (use existing audio as-is)
python scripts/pipeline.py --skip-validation

# Custom validation threshold
python scripts/pipeline.py --threshold 0.7 --max-retries 3

Step 5: Customize

Edit config.json to adjust:

• Edge TTS: voice, rate, volume
• Video: fps, codec
• Image: dpi, resolution
• Subtitle: font, size, color, position

Available TTS Voices

Edge TTS Voices (Default - Online API)

Voice	Gender	Style
serena	Female	Warm, natural (default)
chelsea	Female	Professional, clear
max	Male	Authoritative, deep
brian	Male	Friendly, energetic

Edge TTS Chinese Voices (Online API)

Voice	Gender	Style
zh-CN-YunyangNeural	Male	Professional news anchor (default)
zh-CN-XiaoxiaoNeural	Female	Warm, natural
zh-CN-YunjianNeural	Male	Energetic sports
zh-CN-XiaoyiNeural	Female	Lively cartoon
zh-CN-YunxiNeural	Male	Sunny, cheerful

List all Edge voices: edge-tts --list-voices | grep zh-CN

Key Design Decisions

• Three TTS Modes: Support for Qwen3-TTS (local GPU), Edge TTS (online), and HTTP service - flexibility for different use cases
• Audio Validation Pipeline: STT-based quality control ensures TTS output matches original text (configurable threshold)
• Per-Slide Processing: Independent audio/video generation for each slide enables partial regeneration and parallel processing
• Smart Subtitle Sync: Text segmentation at sentence boundaries with proportional time allocation based on character count
• Zero-Reencoding Merge: FFmpeg concat demuxer for fast video assembly without quality loss
• GPU Acceleration: Apple Silicon Metal support for fast local TTS inference (~3 seconds per page)
• Quality Control: Multi-stage validation including duration checks, silent audio detection, and similarity scoring

Resources

This skill includes example resource directories that demonstrate how to organize different types of bundled resources:

scripts/

Executable code (Python/Bash/etc.) that can be run directly to perform specific operations.

Examples from other skills:

• PDF skill: fill_fillable_fields.py, extract_form_field_info.py - utilities for PDF manipulation
• DOCX skill: document.py, utilities.py - Python modules for document processing

Appropriate for: Python scripts, shell scripts, or any executable code that performs automation, data processing, or specific operations.

Note: Scripts may be executed without loading into context, but can still be read by Claude for patching or environment adjustments.

references/

Documentation and reference material intended to be loaded into context to inform Claude's process and thinking.

Examples from other skills:

• Product management: communication.md, context_building.md - detailed workflow guides
• BigQuery: API reference documentation and query examples
• Finance: Schema documentation, company policies

Appropriate for: In-depth documentation, API references, database schemas, comprehensive guides, or any detailed information that Claude should reference while working.

assets/

Files not intended to be loaded into context, but rather used within the output Claude produces.

Examples from other skills:

• Brand styling: PowerPoint template files (.pptx), logo files
• Frontend builder: HTML/React boilerplate project directories
• Typography: Font files (.ttf, .woff2)

Appropriate for: Templates, boilerplate code, document templates, images, icons, fonts, or any files meant to be copied or used in the final output.

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Any unneeded directories can be deleted. Not every skill requires all three types of resources.