Automate transcription, translation, and text-to-speech using Sarvam AI APIs.
npx skills add https://github.com/ImpactMojo/ImpactMojo --skill sarvam-ai
Please help me install this Agent Skill. Skill: sarvam-ai Source: https://github.com/ImpactMojo/ImpactMojo/tree/main/.claude/skills/sarvam-ai Command: npx skills add https://github.com/ImpactMojo/ImpactMojo --skill sarvam-ai
South Asian language processing for content, accessibility, and education, enabling transcription, translation, and TTS via Sarvam AI APIs.
Transcribe a Hindi audio file, translate it to English, and generate Hindi speech for the translated text.
High-intent search queries and answers about installing and using this skill.
To transcribe and translate South Asian language audio, you can use Sarvam AI APIs to convert speech to text with Saaras and then translate the content across Indian languages using the Mayura model. This workflow supports field interviews and multilingual media processing.
You can convert Hindi text to natural-sounding speech by using the Bulbul text-to-speech API, which generates target language audio for accessibility and education workflows. This enables generating spoken content for multilingual audiences.
Yes, you need a Sarvam API key and base URL to authenticate requests for Indian language transcription, translation, and text-to-speech. This provides access to the Saaras, Mayura, and Bulbul models for South Asian language processing.
Yes, you can translate field interview audio across Bengali, Tamil, and other Indian languages by first transcribing the source audio and then applying the translation model. This workflow enables content adaptation for multilingual education and media.
The best way to automate South Asian language processing for media and education is using dedicated APIs for transcription, translation, and text-to-speech. This approach sequentially processes audio to text, translates across languages, and generates natural speech.
Yes, the South Asian language API supports transcription and translation for multiple languages including Hindi, Bengali, Tamil, and more. It processes these languages through dedicated models for media, education, and accessibility workflows.
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