A professional PDF translation tool that allows you to translate PDF documents into multiple languages using advanced AI models and APIs.
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Updated
Jul 19, 2025 - Python
A professional PDF translation tool that allows you to translate PDF documents into multiple languages using advanced AI models and APIs.
Fine-tuned and compared 3 🤗 pre-trained Multilingual LLMs
This project provides a tool for automatically generating subtitles for videos, supporting both transcription and translation into multiple languages using Whisper and Helsinki-NLP MarianMT models.
The Multilingual Translator is a real-time text translation tool built using Hugging Face’s Helsinki-NLP/opus-mt models. It supports multiple language pairs and provides instant translations via a responsive ReactJS frontend and a scalable Flask backend. Perfect for breaking language barriers in travel, education, business, and more!
translatorlab: a machine translation tool that uses artificial intelligence models to provide accurate and fast translations between different languages
🌐 Sophisticated Telegram translator bot with automatic language detection, 50+ language pairs, and Helsinki-NLP models. Built with FastAPI, aiogram, and transformers.
High-performance, asynchronous translation service leveraging the Helsinki-NLP OPUS-MT zh-en model optimized via CTranslate2. The solution provides a RESTful API endpoint that accepts Chinese text input and returns English translations with sub-second latency. Development supported by DeepSeek.
NLP course project: Comparison of mBART-50 and Helsinki-NLP MarianMT models for Polish–Croatian machine translation with BLEU evaluation
This project is a AI tool translator using NLP techniques
A transformer-based English-to-French machine translation using the Helsinki-NLP OPUS-MT model.
Translate English tech docs (Markdown) to Russian while preserving code blocks, headings, and formatting. Powered by Hugging Face’s opus-mt-en-ru model. Ideal for developers & writers!
A modular, inteligent, multi-agent support platform powered by NLP, Hugging Face, CrewAI and SQLAlchemy.
This project involves fine-tuning Helsinki's English-to-Japanese language translation model using the KDE4 dataset to improve translation quality for domain-specific text.
Using LLMs in huggingface for sentiment analysis, translation, summarization and extractive question answering
A machine translation project featuring RNN-based Seq2Seq, Transformer model, and pretrained models for translating English to Spanish and Urdu.
Translate JSON localizations automatically - Helsinki NLP model
Linguaflow is a multilingual translation API built using FastAPI and MarianMT from Hugging Face Transformers. This project enables translation between English and other languages like French, Portuguese, and Spanish.
Translate from English to French using machine translation models. It includes training and evaluating Helsinki-NLP's Opus-MT and Google's T5 models on the WMT14 French-English dataset. The integration allows users to practice literacy in both English and French
Translate english srt-file to foreign language
Vernā — offline neural machine translation built with MarianMT + Streamlit. Supports EN↔HI, EN↔ES, EN↔FR. Runs entirely on your machine after first model download. No API keys, no data transmitted. Single-file app with beam search decoding.
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