#Html5 audio autoplay loop free

Upload and Transcription: Here we will use the Cloudinary upload API to upload the user-selected video file.In the transcribe.js file, we will handle two major logic: Inside this folder, let’s create another folder called routes and create a file called transcribe.js. To create this route, let’s navigate to the project directory and create a folder named server. now assign the response to our videoUrl stateįrom the above snippet, we are making a POST request to the /transcribe route but we have not created this route.send a POST request to our server route ( /transcribe), with the value of the selected state as the body of the request.prevent the default action of the onSubmit event by calling the preventDefault() function.Then, in the handleSubmit method, we will: Then we will assign it to the selected state. In the handleChange method, we will convert the user-selected video file into a data url format using Javascript’s built-in FileReader() constructor. To learn more about the useState composable visit here. To manage our states we will use the Nuxt provided useState composable. The snippet above shows how we manage our states, monitor and process the user’s input using the handleChange method and what to do with the file once the user submits it. Video Transcription App Upload a Video file Įnter fullscreen mode Exit fullscreen mode To set up a development environment, we will need to run the following commands in the terminal: Now, we have successfully registered the Google AI video transcription addon.

#Html5 audio autoplay loop free

The preceding step will take us to the screen below, where we can select the Free plan link. Navigate to the addon tab, then click the Google AI video transcription card as shown in the image below: We can do this by following the steps below: Registering the Google AI Video Transcription AddonĪfter creating a free tier account, enable the Google AI video transcription addon to use the Cloudinary transcription endpoint. A Cloudinary free tier account and valid API keys.Finally, we will make the transformed video downloadable. Then we will use the Cloudinary transformation API to overlay the AI-generated text on the video. In this article, we will build a Nuxt application that uploads a video to Cloudinary and applies the Cloudinary transcription add-on on upload. These generated texts can be overlayed on our video as subtitles using Cloudinary video transformations. It applies an effective AI algorithm to our videos using Google’s Cloud Speech API to generate the best possible speech recognition results. The add-on converts the audio in our videos to text automatically. As a result, several SaaS companies, such as Cloudinary, offer a method to transcribe videos smoothly.Ĭloudinary, a cloud-based platform for managing and optimising media assets such as images and videos, also offers a video transcription add-on.

This implies that video transcription is a necessity for improved accessibility. Language Learning: Transcription can be used as a tool for language learning, allowing students to read along with native speakers and improve their listening and comprehension skills.Subtitling: Transcription can be used to create subtitles for videos, making them more accessible to a broader audience.Searchability: Transcribed videos can be searched and indexed, making it easier for viewers to find specific information within the video.Accessibility: Transcription can make videos more accessible to people with hearing impairments or those who speak different languages.

There are a variety of use cases for video transcription, including: The transcribed text is usually synchronised with the video, allowing viewers to read along as they watch. This can be done automatically using speech recognition technology or manually by transcribers. Video transcription is the process of converting the spoken words in a video into written text.