video api

api video plugin

strapi

Normal

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Github Mathieu Thiry

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LinkedIn Mathieu Thiry

Mathieu Thiry

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Tutorials

JavaScript

Typescript

React

[Strapi](https://strapi.io/) is a headless CMS used to develop websites, mobile applications, eCommerce sites, and APIs. Strapi allows you to create an API without knowing anything about backend development or databases. 

Today, we're pleased to announce our new plugin on the Strapi marketplace 🎊. A powerful, easy, and secure way to bring video content to your websites and applications using the Strapi interface. 

In this tutorial, we will focus on how to use the [api.video](https://api.video) plugin, and provide a basic example on how to integrate the api.video plugin into your project. 

## Install the api.video plugin for Strapi

Take a look at the following video which goes through the following:

* How to install the api.video uploader on your Strapi CMS with a few simple steps.
* How to add your api.video key to the Strapi CMS to connect your accounts.




You will need to have your instance of Strapi installed. If you haven’t installed a Strapi project yet follow this [guide](https://docs.strapi.io/dev-docs/quick-start). 

We are going to install the [api.video uploader](https://www.npmjs.com/package/@api.video/strapi-uploader-plugin) Strapi plugin in this step. Run the following command from within the project root of Strapi.

🎉 Congrats, the *api-video-uploader* plugin should appear in the **Plugins** section of Strapi sidebar after you run app again.

## Connect your api.video API Key

Before getting started, you will need to obtain an **API Key** which can be generated from the [api.video dashboard.](https://dashboard.api.video/)

On your Strapi dashboard, you will see the api.video uploader on the left side. Click on the api.video uploader and you will see the *Go to settings* button. Enter your API Key you have obtained on your api.video dashboard and copy it here. 

Now you are all set to upload your videos 🎖️

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## Manage and integrate your videos 

Take a look at the following video which goes through the following:

* How to add, update, and delete your videos on the api.video uploader in your Strapi CMS.
* How to integrate your videos into your application using the Postman application for testing.



## Upload your first video

As you can see, you have two options to add a video. Click any of the buttons, and a pop-up window will appear.

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You can choose to upload your video file by either clicking on the Select a video box or drag and drop your video file into the boxed area. As you can see, the video must have a title. Once you select a video and enter a title, you can go ahead and click the Upload button. Wow! You have just uploaded your first video 🎈

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Before clicking the *Upload* button, you can also add several video attributes that would help you or your business to organize and rank your videos in a more efficient way. You can write a description of the video, list a number of tags to categorize your video, and add metadata. 

By default, the metadata sends the value Strapi as upload source and can’t be deleted. However, you can add as many other metadata as needed.

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It’s worth mentioning that behind the scenes, it uses our home made [`typescript uploader`](https://github.com/apivideo/api.video-typescript-uploader) for fast uploading.

### Edit or delete your videos

You can edit and update your videos at any time. The information modified will be applied and visible on the Strapi dashboard. The delete option is available on the thumbnail.

### Configure the external resources**

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If you encounter an issue in visualising the thumbnail and the video like the image above, please add those 2 external resources `embed.api.video` and `cdn.api.video`. Modify the `middlewares.js` file like below:

## Permissions

With the Community Edition of [Strapi](https://strapi.io/), any user with the role of super administrator can configure and use the plugin.

With *Strapi Enterprise* the permissions can be fine tuned according to the role of the users. This is done in the **Roles** view in the **Administration Panel**.

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## Integrate the api.video uploader with your application

The `api-video-asset` collection type gives users a way of easily integrate [api.video](https://api.video) assets in their front-end application thanks to custom api call. 

The info that is stored on the `api-video-asset` collection type is the following: 


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The endpoint is protected, so you need a token to authenticate. Go to the *Settings* section on your Strapi dashboard and then select *API Tokens*. Click on Create new *API Token*. Select *Custom*  as your *Token type* and then scroll down to *Api-video-uploader* and choose what type of permission you want.

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After clicking on the Save button, copy the bearer token published. We are going to test it on Postman. Copy the following URL address ```http://localhost:1337/api/api-video-uploader/api-video-asset``` and paste it next to your request type. Go to Authorization, select the Type Bearer and paste the copied token. Click send and you will get your videos details! 

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## Final thoughts

We're super excited to see what folks will build with the api.video and Strapi 🤩 

If you're looking for an easy way to integrate video into your application, check out our **[docs](https://docs.api.video/)** and **[sign up for a free account](https://dashboard.api.video/register).**

api.video Strapi Plugin: Add videos to your headless CMS

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Product updates

As we all know, WordPress is an excellent platform to use for building your own website because it is easy to you. The variety of plugins at your disposal is a game-changer, especially if you do not code. 

We're pleased to announce our new WordPress integration on the [Wordpress plugins directory](https://wordpress.org/plugins/api-video/). 
If you have a WordPress website or blog, our plugin will allow you in a few clicks to:
* embed any of your videos in your WordPress content using our HTML5 video player
* manage your videos from your WordPress admin interface: list all your videos, upload a new one, and edit existing ones

All you need is: 

1. A WordPress website 🤓
2. An api.video API key (get a free sandbox key [here](https://dashboard.api.video/register))


## Installing the api.video WordPress plugin

### Adding the plugin from the plugins library

The easiest way to install the plugin is to use the plugin search. Log in to your WordPress administration area, and go to the **Plugins » Add New** page. 

Plugin installation from the plugins directory

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You'll see a screen like the one above. In the top-right search area, type "api.video". You should see the api.video plugin appear. 

Click on the **Install now** button on the api.video plugin card. After a few seconds (or minutes, depending on your connection), the **Install now** button changes to **Activate**. Click on **Activate** to activate the plugin. That's it; the plugin is installed!

### Setting up the plugin

There is one last step before using the plugin: you have to enter your api.video API key in the plugin settings.

A new entry called **api.video** automatically appeared in your administration menu after you installed the plugin. Go to the **api.video » Settings** page.

Enter your API key in the plugin settings

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Copy your API key from your [api.video dashboard](https://dashboard.api.video) and paste it in the dedicated field, as shown in the above screenshot. Finally, click on the Save button. If an error message appears, double-check your API key. 

## Usage

### Uploading a video

To upload a new video, go to the **api.video » Add new** page. From here, you'll be able to select the video file you want to upload by clicking on the **Select files** button.

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Once the video file has been selected, the upload starts automatically. Once the upload is complete, a link is provided to the video editing page ("Watch the video here" link). By clicking on this link, you'll be redirected to the video editing page (see bellow [Editing a video](#editing-a-video)). 

### Listing your videos

You can find the list of all the videos you have uploaded to your api.video account by clicking on **api.video » Library**. For each of your videos, you will see the associated thumbnail and its title.

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If you want to integrate one of the videos into an article and then modify it, click on the associated thumbnail. You will be redirected to the **video editing page**. 

### Editing a video

You can access the video editing page right after uploading a video or selecting an entry in the videos list.

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From here, you'll be able:
- to update the video title, description, and tags
- to decide whether the video is private or not, panoramic or not, and downloadable or not 

Don't forget to click on the **Save** button after making your changes!

Another essential element on this page is the **"shortcode"**. This is what will allow you to embed the video on your website.

### Embedding a video in a post/page

The first step is to copy the **shortcode** associated with the video you want to embed. This shortcode can be found on the [video editing page](#editing-a-video). 

Once you have copied this shortcode, go to the editing page of the article where you want to embed the video. 

At the spot where you want the video to appear, insert a "shortcode" block into your article. One way to do that is to show the **block inserter** by clicking on the big **+** at the top left of the page. Then type "shortcode" in the search input and click on the **Shortcode** element. 

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Once the block has been added in your article, you now have to paste the value you copied in the video editing page (it should look like **[api.video video_id=123456789]**).

Paste the shortcut value into the dedicated input

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In most cases (but it depends on your WordPress theme), you will get a better result if you transform the block to "Columns." To do so, click on the first icon above the block and select **Columns**.

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And that's it! Once your article is saved, you will see the video appear where you inserted it. 

Your video is now embedded in your article

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## Conclusion

If you have any questions, please ask us on our [community forum](https://community.api.video/).

For any feature request or bug report, don't hesitate to open an issue on the [Wordpress plugin Github repository](https://github.com/apivideo/api.video-wordpress-plugin).

The New api.video WordPress Plugin

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Uploading a video to api.video just got easier!

We have created a [JavaScript uploader](https://docs.api.video/sdks/vod/apivideo-typescript-uploader) script to abstract this code into a single function - allowing you to focus on your code and making the video upload process easier for you and your development team!


## JS Uploader Widget

You can read about uploading a video in the [tutorial](https://api.video/blog/tutorials/uploading-large-files-with-javascript/) describing the code. The JS Uploader widget abstracts the file slice, creating all of the headers, and uploading the files - it also adds retries for segments that have issues!

The new code for uploading is under 30 lines, and most of that is for updating the page during the upload.

First, we add the script to the head (with a defer tag to not slow page load)

```
   <script src="https://unpkg.com/@api.video/video-uploader" defer></script>

```
Next we have a event listener for changes in the file upload form:

```
     input.addEventListener('change', () => {
       console.log("upload commencing");
       uploadFile(input.files[0]);
       function uploadFile(files) {
           const uploader = new VideoUploader({
               file: input.files[0],
               //changed to sandbox, because we cannot have nice things
               uploadToken: "to5PoOjCz98FdLGnsrFflnYo",
               chunkSize: 1024*1024*10, // 10MB
               retries: 10
           });
           uploader.onProgress((event) => {
               var percentComplete = Math.round(event.currentChunkUploadedBytes / event.chunksBytes * 100);
               var totalPercentComplete = Math.round(event.uploadedBytes / event.totalBytes * 100);
               document.getElementById("chunk-information").innerHTML = "Chunk # " + event.currentChunk + " is " + percentComplete + "% uploaded. Total uploaded: " + totalPercentComplete +"%";
           })
           uploader.upload()
               .then((video) => {
                   console.log(video);
                   playerUrl = video.assets.player;
                   console.log("all uploaded! Watch here: ",playerUrl ) ;
                   document.getElementById("video-information").innerHTML = "all uploaded! Watch the video <a href=\'" + playerUrl +"\' target=\'_blank\'>here</a>" ;
               });
       }
     });

```

### Walking through the code

The uploadFile function takes the files and creates an uploader function:

```
 const uploader = new VideoUploader({
               file: input.files[0],
               //changed to sandbox, because we cannot have nice things
               uploadToken: "to5PoOjCz98FdLGnsrFflnYo",
               chunkSize: 1024*1024*10, // 10MB
               retries: 10
           });

```

The chunkSize defaults to 50MB, but I have lowered this to 10MB for the sake of the demo, so you can see multiple chunks uploaded.

The retry count defaults to 5.  

#### During Upload

```
 uploader.onProgress((event) => {
               var percentComplete = Math.round(event.currentChunkUploadedBytes / event.chunksBytes * 100);
               var totalPercentComplete = Math.round(event.uploadedBytes / event.totalBytes * 100);
               document.getElementById("chunk-information").innerHTML = "Chunk # " + event.currentChunk + " is " + percentComplete + "% uploaded. Total uploaded: " + totalPercentComplete +"%";
           })


```

The onProgress updates the video upload every 50ms.  We calculate the % uploaded, and update the browser - so the user is aware that the video upload is underway.

#### Upload complete

When the video upload is complete, the API will reply with the videoId, and links to the video. We take this information to display the url to the user:

```
           uploader.upload()
               .then((video) => {
                   console.log(video);
                   playerUrl = video.assets.player;
                   console.log("all uploaded! Watch here: ",playerUrl ) ;
                   document.getElementById("video-information").innerHTML = "all uploaded! Watch the video <a href=\'" + playerUrl +"\' target=\'_blank\'>here</a>" ;
               });

```


## Conclusion

The new JS video uploader widget weighs in at just 11.5 KB, and as it is not required until after the page loads, will not impact your page speed (as long as you use the defer tag).

It will make building video upload widgets in JavaScript easier, as we've abstracted all the complexity into the library - allowing you to focus on your application, and not on the intricacies of partial uploads of video files.

Read all of the [technical details](https://docs.api.video/sdks/vod/apivideo-typescript-uploader) in our documentation, and [get started](https://dashboard.api.video/register) with your video app uploads today!


New video uploader JavaScript library

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Here at [api.video](https://api.video), we love making video delivery easy for our customers. We take care of doing all the video transcoding and [video streaming](https://api.video/product/live-stream/) so that you can focus on all the other facets of your product. Using our APIs (and our SDKs) is a straightforward and easy way to add video to your service. In this post, we’ll walk through the steps to create a website where you can upload videos.

> Note: Use NodeJS in the middle results in a "double upload" - the video is uploaded to the Node server - then to api.video.  You can avoid this with a [delegated token](https://api.video/blog/endpoints/delegated-upload/) and our [JS library](https://api.video/blog/tutorials/new-video-uploader-javascript-library/).

You can also check out our API reference documentation here: [API Reference documentation](https://docs.api.video/reference)

## Overall Architecture

![Overall architecture api.video](https://cdn-images-1.medium.com/max/800/1*Vje7Cz76uC0VTHLkrAmGFQ.png)

1.  Starting with a web form, a video is submitted to the Node server.
2.  The video is immediately uploaded to api.video for processing
3.  api.video acknowledges the video upload, returns the videoId, and begins encoding the video.
4.  The node server polls api.video to obtain the playable status (confirming that encoding is completed).
5.  As long as the result is “false”, the polling continues.
6.  When the video is playable, the Node server returns a page with the video. The video autoplays to show that the video is ready to play. The page also returns the timings for upload & for video processing.
7.  The video link is e-mailed to the user (optional).

### Getting Started

### Node & Dependencies

There are a number of required Node dependencies:

``` 
npm install express dotenv @api.video/nodejs-sdk fs pug serve-favicon formidable email-validator
```

This tutorial also optionally connects to Intercom to send emails to your users. This will require:

``` 
npm install intercom-client
```

### Building the Site

### Starting index.js

You can clone the GitHub repository to follow along, but here is the code that builds your video uploader:

In the src/index.js file, copy the following code:

In this snippet, Node imports Express (and dotenv for environmental variables). The first big chunk of code creates and sets up an express app. It will use Pug to build the views. Static files are saved in the ‘public/’ directory, and serve-favicon adds the favicon to the site. You can use the default favicon in the public directory on GitHub, or create your own.

Next we have app.get — on the default entry point of the site. If a request occurs at the “/upload-demo” directory of the web server, we’ll deliver the start.pug file that is saved in the views directory.

Finally, the app listens on port 3000 for requests. If you run npm start from the terminal, you should get a response of “Example app listening on port 3000!” You can now enter “localhost:3000/upload-demo” into your browser, and if you have added the views directory — you’ll see the form. If you have not yet added the view, you’ll probably get an error.

### Start.pug

The landing page is simply an introductory text describing the upload and a form to select the file. This page is created with Pug. Pug is really persnickety about indentation spaces, so it might be best to copy the code (or just use the code) from GitHub rather than copy and paste from this post.

In the head tag, we load some CSS and the favicon.

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The body loads descriptive text on api.video, and the submission form. The form takes 4 inputs: video name, e-mail, true/false mp4 support and the video file. You may notice that the form action will reload the root directory of the server. Since the data submission is a POST, it will be easy to identify the 2nd request.

### POST Form Processing

Add these additional lines to the index.js. At the top of the file, we need to add dependencies:

api.video is our backend where uploaded videos are transcoded into video streams. We add the SDK, and then I store my API key in a .env file. I have added the .env file to my .[gitignore](https://git-scm.com/docs/gitignore) file so that when I post my code on GitHub, my key is not uploaded and remains secure.

We also add formidable to read the form data and save the video locally on the Node server. The e-mail validator does what it sounds like it might do, and finally I add three variables to measure how quickly the service handles the video processing.

In the body of index.js, add the following:

We are now building the POST response. Formidable saves the video in the directory specified in the .env variable videoDir (this doesn’t have to be private, but it is nice to save all configurable variables in one place). When the upload requests mp4 support, the variable must be a boolean, so we use the string from the response to create the corresponding boolean value. The email validator validates the email, and if the email is valid  -  we use production credentials at api.video (permanent video hosting). If there is no e-mail, or it is not valid, the video is instead processed in the Sandbox, meaning that it will be watermarked & deleted after 24 hours. For your use — you probably just want to post to production, so you can simplify this logic.

Finally, we begin the upload of the video to api.video (and capture the time of the upload start).

If you try to run this code now, it will hang — we are not yet listening for the response from api.video. However, adding:

```
console.log(result);
```

Will show the JSON response from api.video:

The videoID is important to display and playback the video, as are the assets. We also can see useful metadata about the video — Mp4Support, Panoramic, public/private, etc. Note that there is no mp4 url — the video must be encoded to receive that url, so we’ll grab it later.

### Video Upload Response

After the “let result = client.videos.upload(files.source.path, {title: fields.title, mp4Support: mp4Support});” paste in the lines below.

We listen for the result from the upload. This allows us to mark upload completed (to measure the elapsed upload time). If the video has successfully been uploaded to api.video, we now have 2 copies of the video: one on the node server, and the other at api.video. Fs.unlink deletes the file on the node server. The JSON response gives us the videoId at api.video, and links to the iframe and player video urls (which we assign to variables). The mp4 url is only presented in this response when encoding is finished.

Even though we have the urls to the videos, they have not been processed yet. To determine if the video is playable, we call the videoStatus function. This sends a request to api.video to obtain the video status. The response is a JSON with lots of details about upload status, file size, and metadata like the dimensions and bitrate (you can learn more about these parameters in the [documentation](https://docs.api.video/reference/api/Videos#retrieve-video-status-and-details)):

Reading the videoStats.encoding.playable value tells us if it is ready to play or not. If it is not ready, we call videoStatus again recursively until we get the affirmative response. When we receive that ‘playable’ is true (as in the example above), the function can then query for the MP4 url, and return the view to the user: return res.render(‘video’, {iframe, player, uploadSeconds,processSeconds});

This means that video.pug will be displayed to the end user with some variables (the urls of the video, and timings on upload and processing). We’ll discuss that view in the next section.

### Displaying the Video

The Video.pug file is a simple html file that simply adds an iframe for the video, and reports the elapsed times for upload and processing of the video. The variables are ensconced in #{} tags. One other interesting thing to note is adding #autoplay to the url tells the video player to autoplay the video (you can also add #loop to loop the video).

And there we have it, a working video upload tool, where the response page shows the encoded video, along with the time for upload and for processing! Pretty cool!



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### Optional Step: Email integration

In the video upload response section, there is a line of code that calls the intercom integration:

We first create a lead (or a contact) inside Intercom. This will come back with an id that uniquely IDs the user. If the email address already exists, Intercom returns an error message that says “There is already a user with the id=<idnumber>.” So, if the user already exists, we can parse the error message to grab the user id.

Then we can add a tag to Intercom to show that the user has used the video upload tool, and we send an email to the user’s email address with links to the videos, and the time it took to upload and process the videos. The text of the email is right in the code, so easy to modify.


### Update (2022)
	
We have a new version of a video uploader that uses a delegated token. It is live at [upload.a.video](https://upload.a.video), and you can read a post on [delegated token upload](https://api.video/blog/tutorials/uploading-large-files-with-javascript/). Delegated tokens remove the "double upload" to Node and then to api.video: videos are directly uploaded to api.video.
	
	
### Conclusion

We’ve built a video uploader using Node.js and api.video. The easy to build tool now gives us the ability to easily share our videos across our internet properties. Using Node and api.video, the entire process creates an easy to use interface to take regular videos, and convert them into video streams. If this tutorial has inspired you (or if you have any questions), let us know by posting in our [community forum](https://community.api.video/). 

Building a video upload demo with Node.js and api.video

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api.video Strapi Plugin: Add videos to your headless CMS.

Announcements

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Cédric Montet

Company News

AI, models, assistants, agents and prompts sound and look magical on social networks. But from the countless conversations we have had with startups and Enterprise customers over the last months, we have realized that the gap between existing video workflow and concrete use cases is real.

&nbsp;

Whether it’s getting transcripts in seconds, changing the language of your video or being able to search for items in your content – the benefits, value or potential savings you see and can get with AI are obvious.

&nbsp;

This is why we are thrilled to unveil how we are bringing AI into video, where we are heading and how you can get more value from it!

## What does the future of video streaming look like?

AI will completely upend video consumption as we know it today. We envision a world where video is not a content piece anymore which you can only start and stop – because AI will make videos discoverable and universally understandable. More than ever it resonates fully with our core mission – connecting people through their cameras.

&nbsp;

Since Day 1, we are building api.video to make your use cases, first, a reality and, then, a success.

&nbsp;

Back in the days, the fragmented video streaming market, the number of services you had to aggregate, the lack of innovation by the incumbents was preventing you from joining our video-first world, while your efforts and budgets were consumed by maintaining mashups instead of focusing on what matters. 

&nbsp;

This is why we have built the video backbone and seeing that, now, you host 2.5 millions videos on api.video and deliver dozens of millions videos every month demonstrate why simplicity, exceptional performances and an E2E approach were key.


&nbsp;

What’s happening today with AI, the efforts it requires to benchmark, setup and customize LLMs, to run and maintain them, the Infrastructure you have to build to execute them before getting any value, remind us of the state of the streaming market when we had launched api.video.

&nbsp;

Helping you to benefit from the AI revolution by abstracting all the underlying complexity became obvious and a natural next step in our evolution.

&nbsp;

To get there and to bring you there, here is what we are building, api.video’s very first – **Video Model Hub**.

&nbsp;

Let’s start with the root principles encompassing our work on this Hub:

&nbsp;

- **Open-source models over private ones.** We are long time believers and contributors of the open source community and we have chosen to run only models that are available publicly.

- **Your data is… your data.** You already trust us to host and deliver sensitive content,and this is exactly why we won’t train our own models or sell the data generated from your videos to anyone.

- **Privacy at the core.** We host and execute the models inside our own infrastructure. Your data remains inside the api.video infrastructure. Your videos or data is not sent to external partner, SaaS providers like OpenAI, or others.

- **We believe that every organization will eventually build their own models to leverage their unique data sets**. Next year, alongside the ability to run public and open source models on api.video, we will offer you the ability to host your own.

- **One API to rule them all.** As we have already replaced a dozen of services and vendors under GET/videos to make your videos available worldwide in seconds, we are abstracting all the complex work of executing LLMs behind clear and straightforward endpoints.

&nbsp;

At a glance, api.video brings to you today the power of AI by:

- Leveraging its years of experience in video management and building infrastructure, with GPUs.
- Combining with the most advanced LLMs available on the market.

so that you get more value from your videos in a few lines of code!

&nbsp;

## Here are the first three new features from the Video Model Hub

### 1. Summarization of long-form videos

Upload a video in English, Spanish, French, Portuguese or Chinese and get a text summary of 120 characters with the 3 key takeaways discussed in the video (within seconds!). Ideal to index or preview long form recorded meetings or courses!

&nbsp;

_The video below gives you a glimpse into AI summarization._


### 2. Transcription of your video in seconds

Get a transcript (in .VTTformat) from your uploaded video with the timecodes and offer the captions to your audiences. The best part? The api.video player supports VTT files so there’s nothing new that you need to build on your side!
This also makes your content more inclusive by making it accessible to people with hearing impairments. 


### 3. Translation of subtitles in 5 different languages (and more to come!)

Is your video in English? You can get Spanish and French subtitles. In Chinese? You will get English subtitles and three more languages. In short, this is the perfect solution to spread your message to your international audience!

&nbsp;

_Check out the video below for a glimpse into AI translation._ 


_Try it for yourself now by uploading a video in your [sandbox account](https://dashboard.api.video/overview)._ 

## What’s next

From video classification, alteration, generation, audio alteration, metadata generation, we have identified and plan to implement more than 200 additional use cases and features within the upcoming months!

&nbsp;

From next year, we will let you bring your own models on the infrastructure to get even better and more personalized outcomes.

&nbsp;

This is a long-journey and we’re only getting started. The whole team is thrilled to be at the forefront of this next chapter!


AI  >< Video: The Video Model Hub unveiled

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Arushi Gupta

Our mission at api.video has always been to turn your use cases into successful realities. We built the video backbone with this goal in mind, and today, you host 2.5 million videos and deliver tens of millions more!

&nbsp;

Helping you harness the power of AI, while simplifying the problems that come along with, was the next direction to take. 

&nbsp;

To achieve this and to support your journey, we bring to you –  **AI features for your videos.**



## What are the AI video features?

### 1. AI video transcription & captions

With AI transcription, you can convert spoken words in your videos into written text, providing an accurate, searchable record of your content. This means you can easily create subtitles, enhancing accessibility for the hearing impaired or getting a written record of your meetings or events. 






### 2. AI video translation

With AI translation, you can translate your videos into multiple languages, ensuring that viewers from different linguistic backgrounds can understand and engage with your content. This can be useful if you’re hosting an international virtual event, creating multilingual educational materials, or expanding your marketing reach.

&nbsp;

Translation will be available for 5 languages – French, English, Spanish, Portuguese and Chinese.


### 3. AI video summarization

Using AI summarization, you can distill lengthy content into concise, digestible summaries, allowing viewers to quickly grasp the key points without watching the entire video with AI video summarization. This can prove invaluable for educational lectures, business presentations, and lengthy seminars where time is of the essence.

## Do you really need this?

Well, the potential [uses of our AI features](https://api.video/use-cases/generative-ai/) are limitless! From e-learning and e-commerce to online streaming, these [AI features](https://api.video/product/ai-features/) are going to be the difference between ordinary and excellent. What can you do really?

&nbsp;

- Summarize educational lectures for a quick review
- Translate virtual events into multiple languages for global reach
- Transcribe video interviews for easy reference
- And so much more!

## More than just encoding, hosting, and delivery

We’ve gone beyond the basics of video hosting and delivery to give you features that are a step up from the ordinary. Now, not only can you ensure that your customers get video delivery at minimal cost, but also that they get the flexibility to offer content  in their preferred language and in a crisp manner. 

&nbsp;

Additionally, when the features are in production, you may also get the option of adding them via your API. This means that you get complete power to add the features you like without having to go through the dashboard.

## Your videos stay private to you

Your data is yours, and we respect that. You already trust us to host and deliver your most sensitive content, which is why we will never train our own models or sell data generated from your videos. Privacy is at the core of everything we do, and that’s why we host and execute the models within our own infrastructure. Your data stays entirely within the api.video ecosystem and is never sent to external partners, SaaS providers like OpenAI or others.

&nbsp;

_Our CEO and founder, Cedric Montet, speaks more about privacy being our topmost concern in his latest [blog](https://api.video/blog/company/video-model-hub-ai/)._

## Give it a try!

See a glimpse how these AI features look like with a free sandbox account! [Upload a video now in your dashboard](https://dashboard.api.video/overview) and witness AI make a difference to your videos. As this is a Beta release, any feedback, questions, doubts on the features are welcome and much appreciated.

Create a sandbox account now 

Lights, Camera, AI Action! Discover our AI features

Introducing AI features to compliment your videos

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AI >< Video: The Video Model Hub unveiled

How to integrate AI facial expression detection to control your video – Javascript 

5 AI tools that will save you 10+ hours on video production

Lights, Camera, AI Action! 

Video trends

In a world where time is money and creativity reigns supreme, AI tools that convert text to video are game-changers! These AI-powered wonders are designed to save your day—and countless hours. Join us as we unveil the top 5 AI video tools that can dramatically cut down your video creation and editing time. From transforming text into captivating visuals to adding that perfect touch of magic to your edits, these tools are set to become your new best friends in the digital playground!

## **1. CapCut**

At number 1, we have Capcut. 

&nbsp;

[CapCut](https://www.capcut.com/) surged in popularity due to its user-friendly interface and powerful editing features, making it a favorite among video creators. Its integration with TikTok and social media platforms is also reason for its widespread adoption.

&nbsp;

The best part about using CapCut is that most of these important features are available for free, which kicks out budget-constraints out of the window. CapCut uses AI to empower users to create stunning videos without needing any fancy editing experience. With mobile and desktop apps, as well as a web version, CapCut can easily be used on the go. 

&nbsp;

CapCut offers a range of AI-driven features that are very, very impressive. With 'Smart Cuts & Trims', CapCut's AI automatically detects shaky parts, long pauses, or unnecessary bits, suggesting cuts to tighten up your video and eliminate boring footage. 'Effortless Audio Magic' helps isolate voices and enhance audio quality, making your message crystal clear even if there’s noisy background interference. 'Instant Captions' auto-generate captions, making your videos more accessible and saving you time and effort. Moreover, if your filming didn't capture the perfect lighting, 'Light Like a Pro' allows CapCut’s AI to adjust lighting in your videos post-production, creating the ideal mood.

What I most love about CapCut AI video generator is its AI-driven background removal feature which eliminates the need for a green screen, allowing me to replace any background with an image or color of my choice.

&nbsp;

Something to note about Capcut is that the free version includes watermarks on exported videos. which can be removed only with a paid subscription. This may potentially pose a barrier for you if you’re a budget-conscious user.

## **2. Runway**

[Runway](https://runwayml.com/) can be called a virtual sorcerer's wand for video editing! It has the potential to be an entire AI video production studio, so it can basically create an entire movie without filming a single frame — if you have the time, that is. Runway can generate videos and animations from simple text prompts, create animations from still images, generate lip-syncing avatars based on a recording of your voice, and even allow you to train your own AI models. 

&nbsp;

Runway might be a little intimidating in the beginning. That’s because it has an array of features that take time to understand, execute and implement, and that could be slightly time-taking and if I can say, complex.

Another aspect to note is that while Runway offers a range of pricing plans, the advanced features that truly set it apart are locked behind higher-tier subscriptions, making it less accessible for small businesses or individual creators on a tight budget.

## **3. Invideo AI**

[Invideo AI](https://invideo.io/ai/) is an excellent tool for generating a starting point for your videos. It helps you to quickly create a basic structure for your videos, which can then be further customized and polished. The  features allow you to input simple prompts, from which the tool generates an initial draft that includes relevant footage, transitions, and effects. 

&nbsp;

A few standout features of Invideo AI are an extensive stock media library that offers a range of options to choose from, AI-powered script generation which creates a complete script for your videos and, voiceover addition. Their AI voiceover generator is particularly good because it has an option to add your own voice which it then uses to narrate scripts in. The narration is also decent, with multiple accents and focussing well on the feeling, intent, and emotion behind each word.

Overall, the tool is great for YouTubers and people who want to start off their video making journey with minimal effort. 

&nbsp;

One of the shortcomings of Invideo AI is its dependency on a stable internet connection, as the tool is cloud-based. This can be a significant limitation for users in areas with unreliable internet access. I also noticed that rendering videos on Invideo AI can sometimes be slow, especially for longer or high-resolution projects, so keep enough time in hand before you expect a final video. 

## **4. Wondershare Filmora**

[Wondershare Filmora](https://filmora.wondershare.net/de/ad/videobearbeitungsprogramm-brand.html) has been a staple in the video editing world for over 15 years. Despite its long history, it's continuously evolving, with a suite of AI features that enhance video quality without requiring professional training or extensive time investments. 

&nbsp;

Filmora is a popular choice among full-time influencers and video editors for advanced-level video editing. It is also a preference because the tool keeps evolving based on new technological developments, and therefore is easily able to meet the demanding standards of modern digital media.

&nbsp;

Some of Filmora’s features include 'AI smart cutout', which allows you to cut objects out of scenes simply by painting their area on the screen, and 'AI audio denoise', which helps control background noise. 'AI audio stretch' lets you extend music to match scene transitions, while AI motion tracking enables face blurring for privacy or fun effects. They also have AI remove background which allows you to create imaginative scenes without hefty budgets. 

Wondershare also provides detailed explanations of these features on their website, so if you ever face a problem using any of them, be sure to check their dedicated pages. 


&nbsp;

However, do note that Filmora's performance can be sluggish when handling large files or high-resolution videos, leading to slower rendering times and potential crashes at times.

## **5. Canva Magic Studio**

Easy to use. Neat interface. Quick results. 

&nbsp;

Those were the three things I liked best about [Canva Magic Studio](https://www.canva.com/magic/). 

&nbsp;

Canva Magic Studio looks very promising as an AI video tool. Having been a fan of Canva for infographics, presentations and social posts since the past few years, their AI video tool has quite impressed me. What stands out is that their UI is very, very simple to understand. Plus, their features don't seem to be overwhelming when it comes to video editing, which I often feel is the case with other professional editing tools. 

&nbsp;
 
Canva Magic Studio gives you amazing results when it comes to video quality and is also very quick to generate the final video. The good video quality comes from its integration with Runway (our #2 in the list).

&nbsp;

To show you an example, I used the prompt: "A cute rabbit watching a video on a laptop”. And the [result](https://www.canva.com/design/DAGGCqwwf4A/GS7q42J5C9nx26gxJGR9lA/watch) was surprisingly very apt!

Canva Magic Studio is a great option if you want to bulk-create your social media posts – create a chunk of Instagram reels or Facebook ads in a go or create similar kinds of videos using a single template. The template options Canva offers have a wide range and are decent for beginners to start with.

## Sora – Open AI’s video generator

Open AI sparked a wave of excitement around AI with ChatGPT, demonstrating its incredible potential in natural language processing. Now, it's taking things a step further with [Sora, an innovative AI](https://openai.com/index/sora/) video creator.

Open AI recently shared a series of tweets showing the potential of Sora and I must say, I am amazed. Be it [several giant mammoths](https://x.com/OpenAI/status/1758192960116785459) rushing through a snowy meadow or a [fluffy monster](https://x.com/OpenAI/status/1758192964222988506) behind a melted candle, the kind of videos Sora will be able to create is astounding! It looks like it will be able to take detailed prompts into consideration, just like it did with ChatGPT, to create exactly what the user needs.

&nbsp;

As Sora continues to evolve and improve, it will undoubtedly shape the future of video production, showing way to new forms of storytelling and engagement in the years to come.

## AI is great – but it cannot replace you

While these AI video tools can ease the load for you and save some time, they cannot really take the place of your creativity, intuition, and emotional intelligence. In the end, it is your perspective, personal touch, and experiences that shape the videos you create. 

&nbsp;

_If you’re finding a place to store, host and deliver your [AI generated videos](https://api.video/use-cases/generative-ai/), api.video could be just what you’re looking for. With quick video upload options, flexible hosting capabilities, ability to add watermarks and keep videos private, you can choose api.video for all your video needs. If you would like to test out our features, [sign-up](https://dashboard.api.video/register) for a sandbox account now and you wound’t be disappointed._

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5 ways the human eye impacts how we do video compression

7 eye-opening stats that prove the impact of product videos in e-commerce

5 ways to utilize product videos to boost your e-commerce sales

Yohann Martzolff

In today's tech-driven world, enhancing user interaction and creating immersive experiences is crucial. One exciting way to achieve this is by integrating AI facial expression detection into your video content.  In this blog, we'll guide you through the steps to <u>integrate AI facial expression detection to control your videos using React</u>. 

&nbsp;

Let's start.

&nbsp;

_*To learn how to do the integration with Javascript, head to this [blog](https://api.video/blog/tutorials/AI-facial-expression-detection-javascript/).*_

## 1. Create a minimal React app

As the first step, we need to create a new React app. Run the following command for the same. 

Now add the MediaPipe and the api.video React player packages

## 2. Add a video player

You’re going to use the official [api.video’s React player](https://github.com/apivideo/api.video-react-player) in this application, but feel free to use your favorite one and adapt the callbacks to it.

&nbsp;

Replace the code inside `App.tsx` with the following.
The `playerRef` allows us to control the [api.video player](https://api.video/product/player/).

Run your application with the npm run start command and go to `http://localhost:3000/`, you should see a video that you can play, pause or mute. 

## 3. Record your facial expressions

To control the player with your facial expressions, you need to stream your face through your webcam and pass this streamed data to the trained machine-learning model.

&nbsp;

Add a `<video />` HTML tag to `App.tsx`. 
Its `webcamRef` allows the video element to be targeted.
Apply a `display: "none"` inline style to hide the element, and an `autoPlay` attribute so the webcam stream time is updated. 

&nbsp;

**Note:** You can remove the `display: "none"` style and customize your CSS, it doesn’t matter.

## 4. Load the machine-learning model

Before we can use the machine-learning model, we must wait for it to finish loading. These models can be large and take a moment to get everything needed to run.

&nbsp;

Put this logic inside a `useEffect` and store the `faceLandmarker` class as a React stateful value.

## 5. Start detecting the webcam stream

Once the machine-learning model has been loaded and the `faceLandmarker` class has been instantiated, you can start detecting the stream.

&nbsp;

Create a new `useEffect`

Run your application with the `npm run start` command, go to `http://localhost:3000/`, and open your console. You should see a lot of console logs appearing each millisecond.

&nbsp;

Each one of them logs an array of objects of type:

## 6. Use the facial expression detection results

You now have access to a list of facial expression detection results. Use them to do whatever you want and in this case, to control your video player.

Let’s assume that you want to play the video when you smile, and pause it when you do a kiss.

Check the facial expression detection results on each frame and play or pause your video depending on the score of the wanted result by replacing your console.log with the following.

Once again, run your application with the `npm run start` command, go to `http://localhost:3000/`, and try to smile at your webcam. It should trigger the player’s `play` callback and play the video. Then, try to do a kiss ( 😗 ) in front of your webcam, and the video should pause.

## 7. Display the results

It can be helpful to have a visual representation of the detection results. Display these results as a list and highlight the detected facial expressions by adding a `<ul />` HTML tag to your JSX and creating a new ref to target it.

Add the code to update the HTML according to the results.

Now, you should see a list of results displayed in your application, with a green highlight on the ones with more than 60% confidence.

## 8. Code samples

Check the full `App.tsx` code below.

We hope this blog helped you understand the coding behind integrating AI facial expression detection to your videos.

 &nbsp;

_For any questions or doubts you may have, chat with us on our [website](https://api.video/contact/). If you would like to try out api.video for your videos, [sign-up](https://dashboard.api.video/register) for a free sandbox account here._

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