Best AI tools for< Sanskrit Teacher >

GitaGPT is an AI chatbot application that allows users to explore the Bhagavad Gita with the help of artificial intelligence. It offers personalized guidance on life's challenges, insights on Dharma, techniques for inner peace and meditation, and answers to profound questions from the Gita. Users can interact with AI characters like Krishna, Ganesha, Rama, Chanakya, Shiva, Buddha, and Hanuman to receive spiritual guidance and wisdom. The platform aims to provide timeless wisdom from the ancient Sanskrit scripture to guide humanity towards righteousness, purpose, and enlightenment.

MacWhisper is a native macOS application that utilizes OpenAI's Whisper technology for transcribing audio files into text. It offers a user-friendly interface for recording, transcribing, and editing audio, making it suitable for various use cases such as transcribing meetings, lectures, interviews, and podcasts. The application is designed to protect user privacy by performing all transcriptions locally on the device, ensuring that no data leaves the user's machine.

Open dubbing is an AI dubbing system that uses machine learning models to automatically translate and synchronize audio dialogue into different languages. It is designed as a command line tool. The project is experimental and aims to explore speech-to-text, text-to-speech, and translation systems combined. It supports multiple text-to-speech engines, translation engines, and gender voice detection. The tool can automatically dub videos, detect source language, and is built on open-source models. The roadmap includes better voice control, optimization for long videos, and support for multiple video input formats. Users can post-edit dubbed files by manually adjusting text, voice, and timings. Supported languages vary based on the combination of systems used.

Speechlib is a Python library that provides functionalities for speaker diarization, speaker recognition, and transcription on audio files. It offers features such as converting audio formats to WAV, converting stereo to mono, and re-encoding to 16-bit PCM. The library allows users to transcribe audio files, store transcripts, specify language and model size, and perform speaker recognition using voice samples. It supports various languages and provides performance metrics for different model sizes. Speechlib utilizes huggingface models for speaker recognition and transcription tasks.

Expert in Sanskrit, Vedas, and Vedic astrology

Sanskrit translator and tutor, aiding in language learning and translation.

Expert in Sanskrit & Indian scriptures, loved by kids for storytelling