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Cover image for โšก Brisk โ€” Text-to-Speech Web App ๐Ÿ—ฃ๏ธ Convert text into natural-sounding speech in seconds.
Sripadh Sujith
Sripadh Sujith

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โšก Brisk โ€” Text-to-Speech Web App ๐Ÿ—ฃ๏ธ Convert text into natural-sounding speech in seconds.

๐Ÿ’ก Inspiration

We often come across situations where reading long paragraphs or notes becomes tiring โ€” whether itโ€™s studying, accessibility needs, or multitasking.
Thatโ€™s where Brisk was born โ€” a minimal, fast, and beautiful text-to-speech web app that instantly converts any text into realistic speech.

Our goal was to build something simple, powerful, and accessible to everyone โ€” without complicated installations or expensive APIs

๐Ÿง  How We Built It

Frontend & Backend: Streamlit
โ€” used to build the entire web interface with Python

Speech Engine: gTTS (Google Text-to-Speech)
โ€” used for generating high-quality speech output

Language: Python 3.x

Hosting: Can be deployed easily on platforms like Streamlit Cloud or Render

We combined the simplicity of Streamlit with the power of Googleโ€™s TTS API to create a smooth, responsive, and reliable experience.

๐Ÿ”ฎ Whatโ€™s Next for Brisk

Weโ€™re excited to expand Brisk with:

๐ŸŒ Multilingual support for regional accents

๐ŸŽจ Dark/light theme switching for better UX

๐ŸŽ™๏ธ Voice tone and pitch customization

๐Ÿ“ฑ Mobile-responsive design

๐Ÿ’ฌ Integration with PDFs and documents for direct reading aloud

Try it yourself

Webapp: https://brisktts.streamlit.app
Source code: https://github.com/Sripadh-Sujith/Brisk

โค๏ธ Team & Credits

Developer: Sripadh Sujith
๐Ÿ’ผ GitHub: @sripadh_sujith_1487e8db18

๐Ÿ“ง Email: sripadhsujith2009@gmail.com

โ€œBrisk โ€” Because your words deserve a voice.โ€

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