Transcripto

sanketkulkarni7

Collaborators

Sahil Sinnarkar

@sahilsinnarkar82

Yuvraj Khade

@khadeyuvraj86517

sanketkulkarni7

Transcripto

70%
FindCoder AI-Powered Review (Beta)

Speech-To-Text-To-Text Translation

Designed With 😇 :

  • CssCss
  • DiscordDiscord
  • FirebaseFirebase
  • FlaskFlask
  • JavaScriptJavaScript
  • ReactReact
  • VercelVercel
  • WindicssWindicss

This React-based frontend integrated with a Flask backend streamlines content creation, video transcription, and file management. Users can input text, upload documents, or process videos, ensuring accessibility and efficiency.

Problem it solves 🙅‍♂️

  • This solution streamlines content creation and management by allowing users to upload text or video files for automated transcription and translation. It enhances efficiency, accessibility, and collaboration by converting videos into text for inclusivity, enabling multilingual support, and securely storing files. With its user-friendly interface and Markdown support, it simplifies workflows, saves time, and ensures data safety, making it ideal for blogging, documentation, and global content sharing.

Challenges I ran into 🙅‍♂️

  • One significant challenge was implementing support for both text and video uploads while ensuring proper storage and handling. Coordinating the React frontend with the Flask backend required careful planning to seamlessly manage file uploads and organize them into appropriate folders. Additionally, handling large file uploads for videos posed difficulties in maintaining responsiveness during the process. To address this, we implemented progress indicators and optimized file handling mechanisms to ensure a smooth user experience. Debugging issues with file type validation and ensuring that users could upload either text or video while maintaining flexibility added to the complexity. These challenges were resolved through thorough testing and iterative improvements.
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