{"id":19248782,"url":"https://github.com/kevinkoech357/transkript","last_synced_at":"2025-04-21T12:30:28.319Z","repository":{"id":210116073,"uuid":"723437531","full_name":"kevinkoech357/transkript","owner":"kevinkoech357","description":"A flask built web app that leverages the power of OpenAI's whisper model to transcribe audio and video files. Has support for various file formats. 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It utilizes the Whisper Model from OPENAI for accurate transcriptions.\n\n\n\nhttps://github.com/kevinkoech357/transkript/assets/102515005/c756a12b-842c-47e3-90cd-7d95ff9ed3af\n\n\n\n## Table of Contents\n\n- [Features](#features)\n- [Getting Started](#getting-started)\n  - [Prerequisites](#prerequisites)\n  - [Installation](#installation)\n  - [Configuration](#configuration)\n  - [Running the Application](#running-the-application)\n  - [Usage](#usage)\n- [Contributing](#contributing)\n- [License](#license)\n- [Acknowledgments](#acknowledgments)\n\n## Features\n\n- **Audio Transcription:** Transcribe audio files to text.\n- **Video Transcription:** Transcribe video files to text.\n- **Downloadable Transcripts:** Users can download the transcriptions as SRT files.\n- **User-Friendly Interface:** An intuitive and easy-to-use web interface for file upload.\n\n## Getting Started\n\nFollow these instructions to set up and run Transkript on your local machine for development or testing purposes.\n\n### Prerequisites\n\n- [Python](https://www.python.org/) (version 3.8+)\n- ffmpeg ==\u003e ```bash sudo apt update \u0026\u0026 sudo apt install ffmpeg -y```\n\n### Installation\n\n1. Clone the repository:\n\n    ```bash\n    git clone https://github.com/kevinkoech357/transkript.git\n    ```\n\n2. Navigate to the project directory:\n\n    ```bash\n    cd transkript\n    mkdir uploads\n\n    # Create .env file and add\n    UPLOAD_FOLDER='/path/to/upload/folder'\n    ```\n\n3. Create a virtual environment:\n\n    ```bash\n    python3 -m venv venv\n    ```\n\n4. Activate the virtual environment:\n\n    - On Windows:\n\n    ```bash\n    .\\venv\\Scripts\\activate\n    ```\n\n    - On macOS and Linux:\n\n    ```bash\n    source venv/bin/activate\n    ```\n\n5. Install dependencies:\n\n    ```bash\n    pip install -r requirements.txt\n    ```\n\n### Running the Application\n\n1. Run the Flask backend:\n\n    ```bash\n    python run.py\n\n    or \n\n    gunicorn -w 4 run:app\n    ```\n\n2. Visit [http://localhost:5000](http://localhost:5000) in your web browser.\n\n### Usage\n\n1. Upload your audio or video file using the provided form.\n2. Wait for the transcription process to complete.\n3. Once completed, you can download the transcription as an SRT file.\n\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## Acknowledgments\n\n- OPENAI for providing the powerful Whisper model.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkevinkoech357%2Ftranskript","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkevinkoech357%2Ftranskript","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkevinkoech357%2Ftranskript/lists"}