The Automatic Speech Recognition (ASR) tool enables users to convert speech in audio files to text using advanced AI-powered transcription models. This service supports file formats like .mp4 and .wmv, allowing for accurate and efficient speech-to-text conversion.

 Feature Highlights

1. File Upload: Users can upload .mp4 or .wmv files that contain the audio to be transcribed. The system only accepts these file formats to ensure compatibility with the recognition engine.

2. Conversion Process: Once the file is uploaded, users can click the Convert button to initiate the transcription process.

3. Download Transcription: After the conversion is complete, the transcribed text is made available for download, making it easy to obtain and store the output.

4. Refresh Option: If necessary, users can refresh the interface to clear any existing inputs or start the process again.

 Use Cases

– Transcription of Interviews or Meetings: Recordings of interviews, meetings, or podcasts can be easily converted to text for documentation or further analysis.

– Caption Generation for Videos: Generate text-based captions or subtitles for video content to improve accessibility.

– Note-taking for Lectures or Presentations: Recordings from classes or presentations can be transcribed for better understanding and reference.

This ASR tool is a practical solution for anyone looking to convert spoken content into written format quickly and accurately, enhancing productivity and accessibility.