Bhashini AI

Bhashini AI is a groundbreaking initiative that strives to break down language barriers and bring digital empowerment to all Indians. Launched by the Prime Minister of India in July 2022 as part of the National Language Technology Mission, Bhashini utilizes the power of AI, ML, and NLP to create language technology solutions for Indian languages. The platform offers a range of features, use cases, and a unique crowd-sourcing initiative called Bhasha Daan.

What is Bhashini AI?

Bhashini AI is an AI-led language translation platform aimed at providing digital public goods for Indian languages. It supports 22 scheduled Indian languages and English, covering over 99% of the Indian population. The platform offers 1000+ pre-trained AI models and 100+ APIs for various language technology tasks, making it a versatile solution for translation, speech recognition, text-to-speech, and more.

Features of Bhashini AI:

• Supports 22 Indian languages and English.
• Offers 1000+ pre-trained AI models and 100+ APIs.
• Platform-agnostic, cloud-based service accessible through web, mobile, or voice interfaces.
• Seamless integration with existing applications and platforms.
• Fosters a vibrant language technology ecosystem involving startups, industries, academia, research groups, and government agencies.

Use Cases of Bhashini AI:

Bhashini AI finds application in various domains:

• Enabling internet and digital service access in Indian languages.
• Improving education, healthcare, and financial services in Indian languages.
• Preserving and enriching Indian languages and culture.
• Empowering citizens through digital inclusion.

How To Use Bhashini AI?

Using Bhashini AI is a simple, step-by-step process:

1. Register on the Bhashini portal.
2. Create an account and access resources like models, APIs, and datasets through the dashboard.
3. Contribute to Bhasha Daan by participating in tasks like Suno India, Likho India, Bolo India, and Dekho India.
4. Explore the Bhashini marketplace for applications developed by ecosystem partners.

How to Use Bhashini Ai Api :

Below is Example Of Bhashini TTS Api:

# Import requests library
import requests

# Define the text, language, and voice
text = "सौर मंडल में सूर्य और वह खगोलीय पिंड सम्मलित हैं, जो इस मंडल में एक दूसरे से गुरुत्वाकर्षण बल द्वारा बंधे हैं।"
language = "hi"
voice = 0

# Define the Bhashini TTS endpoint and API key
endpoint = "https://tts.bhashini.ai/"
api_key = "Your_Api_Key"

# Define the headers and payload for the request
headers = {"X-API-KEY": api_key}
payload = {"text": text, "languageId": language, "voiceId": voice}

# Send the POST request and get the response
response = requests.post(endpoint, headers=headers, json=payload)

# Save the audio file from the response
with open("output.mp3", "wb") as f:
    f.write(response.content)

You Have To Insert your Api

How to Get your Bhashini Api :

• Register on the Bhashini website and log in to your account.
• Open the “My Profile” section and click on the “Generate” button under the “API Key” tab.
• Copy the user ID, ULCA API key, and inference API key value that are generated for you.
• Pass them as arguments to the bhashini.auth function in your code.

FAQ about Bhashini AI:

Alternatives or Similar AI Platforms:

While Bhashini is unique, some similar platforms include OpenAI, Google Cloud Translation, Amazon Translate, Microsoft Translator, and IBM Watson Language Translator.

Additional Updates and Pricing:

Bhashini continually evolves, introducing new features and collaborations. Recent updates include the Grand Innovation Challenge and partnerships with the Ministry of Education and Ministry of Culture. Pricing details can be found on the Bhashini portal.

Conclusion:

Bhashini AI is not just a language translation platform; it’s a gateway to digital empowerment for all Indians. Breaking language barriers, fostering innovation, and preserving cultural heritage, Bhashini is steering India towards a more inclusive digital future.

Remember, Bhashini AI is not just a tool; it’s a bridge connecting diverse cultures and communities in the vast landscape of digital India.