🌐 Document Translator with Azure AI

This project is a Python-based FastAPI application that allows users to upload documents and translate them into one or more target languages using Azure AI Translator.

🚀 Features

• 🌍 Translate documents into multiple languages using Azure AI

• 📤 Upload a single file via FastAPI endpoints

• 🖥️ Support for local file translation or API-based translation

• 🧠 Language detection and validation via Azure

• 🗂️ Automatically returns translated files or zipped package for multiple outputs

• 🪶 Built using Python, FastAPI, and Azure Translator SDKs

src/
├── api/
│   ├── main.py                # FastAPI app entrypoint
│   ├── routes/
│   │   ├── translation.py     # Upload and translate files
│   │   └── languages.py       # Fetch available languages
├── clients/
│   ├── doc_intel_client.py    # Azure document translation client
│   └── text_client.py         # Azure text translation client
├── config/
│   └── local_env.py           # Environment variable loader
├── libs/
│   └── format_extensions.py   # Maps file extensions to MIME types
├── modules/
│   ├── get_language_info.py   # Azure language info fetcher
│   └── translate_documents.py # Core document translation logic

How to run

1. Install dependencies

pip install -r requirements.txt

2. Set environment variables (via .env or system):

   • AZURE_AI_TRANSLATION_ENDPOINT

   • AZURE_AI_TRANSLATION_KEY

   • AZURE_AI_TRANSLATION_REGION

   • AZURE_AI_DOCUMENT_TRANSLATION

   • AZURE_AI_KEY

3. Run the app

uvicorn src.api.main:app --reload

API Endpoints

POST /translation/upload: Upload and translate a file.

GET /languages/get_languages: Get available translation languages.

TODO:

• Create the Modules needed for Azure AI translation - Done
• Create FastAPI endpoints for it - Done
• Create a streamlit app to run the application
• Create a notebook working through it
• Give option for using App Config