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Tarang
About Tarang
Tarang provides AI-driven tools for voice cloning, text-to-speech generation, voice separation, and voice customization. It enables users to create natural-sounding speech from text, replicate voices from short audio samples, and isolate vocals or instruments from mixed audio tracks. The platform supports over 100 languages, including regional Indian languages such as Hindi, Gujarati, Marathi, Tamil, Telugu, Bengali, Kannada, and Malayalam. Users can fine-tune voice attributes like pitch, speed, and tone to create personalized voice profiles. Tarang is designed for content creators, podcasters, game studios, and voice artists who require high-fidelity audio output for scalable content generation. The workflow involves uploading a voice sample, preparing the audio, training a voice model, and generating speech with emotion control before exporting as MP3 or WAV files.
Key features
- Text-to-speech generation
- Voice cloning from 20-30 second samples
- Voice separation for vocals and instruments
- Voice library with hundreds of AI voices
- Fine-tuning of pitch, speed, and tone
- Cross-lingual voice cloning
- Emotion-controlled speech synthesis
- High-fidelity audio export in MP3/WAV
Use cases
- Generating natural-sounding voiceovers for videos or podcasts
- Creating localized content in multiple languages
- Isolating vocals for music production or remixing
Pros
- Supports over 100 languages including regional Indian languages
- Enables voice cloning from short audio samples
- Provides voice separation for isolating vocals or instruments
- Allows fine-tuning of voice attributes like pitch, speed, and tone
- Generates studio-quality audio in MP3 or WAV format
Cons
- No mention of a free tier or pricing model
- Requires uploading voice samples for cloning
- Limited to audio processing tasks
- No explicit support for real-time processing
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Frequently asked questions about Tarang
What does Tarang do?
Tarang provides AI-driven tools for voice cloning, text-to-speech generation, voice separation, and voice customization. It enables users to create natural-sounding speech from text, replicate voices from short audio samples, and isolate vocals or instruments from mixed audio tracks.
Who is Tarang designed for?
Tarang is designed for content creators, podcasters, game studios, and voice artists who require high-fidelity audio output for scalable content generation.
What languages does Tarang support for text-to-speech and voice cloning?
Tarang supports text-to-speech and voice cloning in over 100 languages, including English, Hindi, Gujarati, Tamil, Telugu, Bengali, Marathi, Kannada, Malayalam, Spanish, French, German, Japanese, Chinese, Korean, Arabic, and many more.
Can I clone my voice and speak in a different language?
Yes. Tarang supports cross-lingual voice cloning, allowing users to record their voice in one language and generate speech in any of the 100+ supported languages while preserving the voice's unique characteristics, tone, and emotional quality.
Does Tarang support regional Indian languages like Gujarati or Marathi?
Yes. Tarang supports a wide range of regional Indian languages including Hindi, Gujarati, Marathi, Tamil, Telugu, Bengali, Kannada, Malayalam, Odia, Panjabi, and more, which is a key differentiator compared to many global voice cloning tools.
How do I get started with Tarang?
To get started, users can upload a voice sample, prepare the audio, train a voice model, and generate speech with emotion control before exporting as MP3 or WAV files. The platform offers a step-by-step workflow for voice creation and cloning.
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Last Update: 9 days ago