ayushsoni1010 / textify

🎙️Seamlessly transcribing the world, one spoken word at a time, in any language you desire.

Textify 🎙️

A Speech to Text Conversion Tool for Audio and Video Files

Convert Spoken Content into Written Text with Ease!

Table of Contents

• Introduction
• Features
• Getting Started
• Usage
• Contributing
• License
• Issues
• Tech Stack Used
• Learn More
• Deploy on Vercel
• Acknowledgments

Introduction 📝

Textify is a versatile tool that allows you to convert audio and video content into text, making it easier to transcribe interviews, lectures, podcasts, and more. With Textify, you can streamline the process of transforming spoken words into written text.

Features ✨

• Audio and Video Conversion: Easily convert audio and video files into text.
• Language Support: Supports multiple languages for transcription.
• Real-time Transcription: Near real-time transcription for shorter files.
• High Accuracy: Utilizes advanced speech-to-text technology for precise results.
• User-Friendly Dashboard: An intuitive and user-friendly interface for seamless conversion.

Getting Started 🚀

To get started with Textify, follow the installation and usage instructions in the project's documentation.

1. Clone the repository to your local machine:

   git clone https://github.com/ayushsoni1010/textify.git

2. Install the required dependencies:

   cd textify
   npm install

3. Configure your environment, including API keys or settings (if applicable).

4. Start the application:

   npm run dev

5. Access Textify in your web browser at http://localhost:3000.

Usage 📊

1. Upload your audio or video file to Textify.

2. Textify will convert the spoken content into written text.

3. View and edit your transcriptions in the user-friendly dashboard.

Contributing 🤝

Contributions to Textify are encouraged! Feel free to open issues, submit pull requests, or provide feedback to help enhance the project.

License 📜

This project is licensed under the Apache License.

Issues 🐛

If you encounter any issues or have suggestions, please report them in the issue tracker.

Tech Stack Used 💅

• Next.js
• Radix UI
• JavaScript
• Shadcn UI
• TypeScript
• TailwindCSS
• OpenAI
• Whisper API
• Prompt Engineering

Learn More 📚

To learn more about Next.js, take a look at the following resources:

• This is a Next.js project bootstrapped with create-next-app.
• Next.js Documentation - learn about Next.js features and API.
• Learn Next.js - an interactive Next.js tutorial.

You can check out the Next.js GitHub repository - your feedback and contributions are welcome!

Deploy on Vercel ✅

The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.

Check out our Next.js deployment documentation for more details.

Acknowledgments 🙏

• Special thanks to the open-source community for their valuable contributions and tools that made this project possible.
• Inspired by the need for efficient portfolio data analysis.

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Transcribe with ease using Textify! 🎙️