Convert your PowerPoint presentations to beautifully translated documents while preserving formatting
Clean, fast, and reliable PowerPoint translation with multi-provider support and formatting preservation
✨ Features • 🚀 Quick Start • 📖 Usage • 🧪 Testing • 🤝 Contributing
• ⚡ Lightning Fast: Sub-2 second translation for most presentations • 🔄 Multi-Provider Support: Switch between DeepSeek, OpenAI, Anthropic, Grok, and Gemini with a simple CLI flag • 🎨 Rich Formatting: Preserves fonts, colors, spacing, tables, and alignment after translation • 🔗 Smart Caching: Avoids duplicate API calls for repeated strings • 📦 Batch Processing: Convert entire directories of presentations at once • 🛡️ Robust Processing: Handles all PowerPoint content types with graceful fallbacks
- Gemini support: Added Google Gemini as a translation provider
- Updated model defaults: Now using latest model versions (GPT-5.2, Claude Sonnet 4.5, Grok 4.1)
- Security fix: Replaced unsafe
eval()with safe lookup functions
- Python 3.10+
- macOS (primary target), Linux, or Windows
- Provider API keys stored in environment variables (see below)
Install dependencies:
python3 -m venv .venv
source .venv/bin/activate # macOS/Linux
# .venv\Scripts\activate # Windows PowerShell
pip install -r requirements.txt
Copy example.env to .env and fill in the API keys for the providers you plan to use. All keys are optional – only populate the providers you intend to call.
cp example.env .env
Environment variables of interest:
| Provider | Required variable | Optional variables | Default model |
|---|---|---|---|
| DeepSeek | DEEPSEEK_API_KEY |
DEEPSEEK_API_BASE |
deepseek-chat |
| OpenAI | OPENAI_API_KEY |
OPENAI_ORG |
gpt-5.2-2025-12-11 |
| Anthropic | ANTHROPIC_API_KEY |
— | claude-sonnet-4-5-20250514 |
| Grok | GROK_API_KEY |
GROK_API_BASE |
grok-4.1-fast |
| Gemini | GEMINI_API_KEY |
— | gemini-3-flash-preview |
📝 The CLI reads your
.envfile automatically when run from a shell session that has the variables exported. On macOS you can add the exports to~/.zshrcor usedirenvfor project-specific secrets.
Run the CLI with the path to a single presentation or a directory tree:
python main.py /path/to/decks \
--provider openai \
--model gpt-5-mini \
--source-lang zh \
--target-lang en \
--max-workers 4
Common options:
--provider {deepseek,openai,anthropic,grok,gemini}– choose the model provider.--model MODEL_NAME– override the default model for that provider (e.g.gpt-5-nano).--source-lang/--target-lang– ISO language codes.--max-chunk-size– character limit per translation request (default: 1000).--max-workers– number of threads used when scanning slides (default: 4).--keep-intermediate– keep intermediate XML files for inspection/debugging.
The tool will generate:
{deck}_original.xml– source deck contents.{deck}_translated.xml– translated content.{deck}_translated.pptx– rebuilt presentation with translated text and formatting intact.
Run unit tests with Pytest:
pytest
The test suite focuses on translation chunking/caching and CLI utilities to ensure the core pipeline stays reliable as providers evolve.
.
├── .claude/skills/ppt-translator/ # Self-contained Agent Skill
│ ├── SKILL.md # Skill instructions for Claude
│ ├── LICENSE.txt
│ └── scripts/ # Complete translation toolkit
├── ppt_translator/
│ ├── cli.py # CLI parsing and orchestration
│ ├── pipeline.py # PPT extraction, translation, regeneration
│ ├── providers/ # DeepSeek, OpenAI, Anthropic, Grok, Gemini adapters
│ ├── translation.py # Chunking + caching translation service
│ └── utils.py # Filesystem helpers
├── tests/ # Pytest suite
├── example.env # Environment variable template
├── requirements.txt
└── main.py # Entry point (delegates to CLI)
This project includes a self-contained Agent Skill in .claude/skills/ppt-translator/.
The skill directory contains everything needed to use this translator in any agent workflow:
SKILL.md- Instructions for Claude on how to use the toolscripts/- Complete copy of all translation scripts and dependencies
To use in another project: Copy the .claude/skills/ppt-translator/ directory into your project's .claude/skills/ folder. The skill is fully self-contained with all necessary scripts included.
Pull requests and issues are welcome. Please run pytest before submitting changes and document any new providers or configuration steps in the README.
This project remains under the MIT License. See LICENSE for details.