Android

Mobile

Private Videos

Player

Player update

Normal

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Thibault Beyou

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Tutorials

Kotlin

We have now released an [api.video](https://api.video/) player for Android. The api.video player helps you to include your videos in your Android applications very easily and quickly. In this tutorial, we are going to show how to add an api.video player to your Android application. It will only take 5 minutes. Let’s do this! 👊

Before starting this tutorial, you can upload a video to your api.video. If you haven’t yet, you can check [Upload your first video guide](https://docs.api.video/vod/upload-a-video-regular-upload), which will walk you through your first video upload. The video that you have uploaded to your api.video account will have an assigned `videoId`. In the following steps, we will call for your videoId using the `YOUR_VIDEO_ID` parameter.

To just give you a quick preview, we are going to create an Android application with an api.video player that looks like this:

## The api.video player for Android

The api.video Android player is available on GitHub and comes with an example application, and the artifact is hosted on Maven Central.

The minimum Android API version supported by the api.video Android player is 24. Make sure that you don’t have a `minSdk` version under 24.

The API is divided into 2 main components:

- **The player view:** This component displays the video and its controls: `ApiVideoExoPlayerView` class.
- **The player controller:** This component controls the video and its events: `ApiVideoPlayerController` class.

## Add api.video Android player to your project

If you don’t have an Android application yet, you need to create one before you go further. The [Build Your First Android App in Java](https://developer.android.com/codelabs/build-your-first-android-app#0) is a simple guide that will help you create your Android application. 

### Dependency

The first thing is to add the [api.video](https://api.video/) Android player to your project dependencies. In your application `build.gradle`, add your `dependencies` tag as shown below:

It’s always good to check out if a [new version](https://github.com/apivideo/api.video-android-player/releases) is available.

To have access to the view, I am going to use `ViewBinding` in this tutorial because it is elegant to use as it will be more user-friendly. Now we add the `android` tag:

### XML Layout

In your `Activity` layout, add a player view:

You might have some constraints to add depending on the parent layout.

With `ViewBinding`, we can access our `ApiVideoExoPlayerView` by using the following field:

### Implementation

The main part of the implementation is to create a player controller, but it depends on several other components.

To manipulate video from api.video, the `videoId` is wrapped in an object called `VideoOptions`:

Create a player controller in your `Activity`. For example, in the `onResume`:

Launch the application. You have successfully integrated the [api.video](https://api.video) Android player in your application! 🥳🥳🥳

### Video privacy setting

For more information on changing video privacy settings, see this [article](https://api.video/blog/product-updates/video-access-management-how-to-create-deliver-and-manage-private-videos-and-what/).

If your application requires the use of private videos, then pass your private token to the `VideoOptions`:

### Fullscreen

For the fullscreen button, you will have to develop the fullscreen behavior. The base principles are: 

* When full screen is activated, hide all surrounding views, menu,…, and lock the application in landscape mode.
* When the full screen is deactivated, display surrounding views and unlock the application orientation.

These behaviors must be implemented on the `onFullScreenModeChanged` of `ApiVideoExoPlayerView.Listener`:

In this quick tutorial, you learned about how to simply add an [api.video](https://api.video) player for your Android application. Now you know how to add the api.video player as a dependency, configure the XML layout, and implement the player controller. Moreover, you learned how to change your video privacy and how to set up a fullscreen behavior. 

You can successfully integrate the api.video Android player in your own application by following the steps in this tutorial. For an example of api.video Android player, see the [example](https://github.com/apivideo/api.video-android-player/tree/main/example) provided in the player repository.

If you miss any features, face any bugs, or come across any other issues, we will be happy to help you on our [GitHub issues](https://github.com/apivideo/api.video-android-player/issues) page.🤝

How to add an api.video player to your Android application

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Player SDK

video create

Video list

Video upload

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Github Mathieu Thiry

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LinkedIn Mathieu Thiry

Mathieu Thiry

React

Typescript

Next.js

This tutorial will show how quick and straightforward it is to build a TikTok clone as a progressive web app (PWA) with [api.video](https://api.video/use-cases/short-form/) and Next.js. A PWA is a website that looks and behaves like a mobile app. It can have all the capabilities of a native mobile app, like design and functionality, and you can even install it on your phone!

TikTok’s core functionality is to create and share short-form content. So today, we will focus on these crucial features:
- **Get** videos with [@api.video-node.js-client](https://github.com/apivideo/api.video-nodejs-client) package
- **Display** videos with [@api.video/react-player](https://github.com/apivideo/api.video-react-player) package
- **Upload** videos with [@api.video-typescript-uploader](https://github.com/apivideo/api.video-typescript-uploader) package
    
Thanks to these 3 easy-to-use api.video tools, you will have everything you need to build a **smooth scrolling** TikTok feed. Let's start 🎬
    

*NB: You can see the demo [here](https://api-video-tiktok-demo.vercel.app) and the complete code [here](https://github.com/apivideo/tiktok_clone). We invite you to clone the project, insert your free-to-use API key from our Sandbox environment and start testing it with your videos!*

Screenshot TikTok demo on desktop screen size

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## Quick Setup

As in this tutorial, we will focus on the core features. We provide two links on how to start the project easily: 

We created a dedicated [tutorial](https://github.com/apivideo/Next.js_Starters-) on building a **new Next.js application** using Create Next App and Typescript. Please follow these [instructions](https://github.com/apivideo/Next.js_Starters-) to get an up-to-date Next.js app.

1. Transform the Next.js app into a PWA with [next-pwa](https://www.npmjs.com/package/next-pwa). Complete all steps with this article [here](https://blog.avneesh.tech/how-to-create-a-pwa-with-nextjs).
2. Once inside our project, install api.video’s [Node.js client](https://github.com/apivideo/api.video-nodejs-client), [typescript video uploader](https://www.npmjs.com/package/@api.video/video-uploader), [react’s player SDK](https://www.npmjs.com/package/@api.video/react-player), and [swr](https://www.npmjs.com/package/swr) for data fetching.

## Get videos

## Back-end: **Create API routes with api.video/nodejs-client**

You can declare the API under the `pages/api` directory. When you declare a file or folder inside `pages/api`, it will generate an URL endpoint that matches `/api/<folder>/<file>`. We set our API key in an environment variable in the `.env.local` file for security.

Now create a `pages/api/videos/index.ts` file. Inside this file, add the following code:

We can get videos in just a few lines of code by applying the method `list`. Check more methods you can use with our *nodejs* client [here](https://github.com/apivideo/api.video-nodejs-client/blob/main/doc/api/VideosApi.md#list).

### Front-end: Client-side data fetching

**Initialize swr**

[useSWR](https://swr.vercel.app/docs/getting-started) is a React Hook library made by Vercel. It fetches data from an API or other external source, then saves that data in a cache and renders the data. We configure swr in `_app.tsx`.

The useSWR hook takes two parameters and returns data. It accepts the following:

- A `Key`: API URL we are calling.
- A `fetcher`: a function that returns the fetched data.

We call `useSWR` hook. Once we get the result, we store data in the state `videos`. Then, we  `map` videos around  `VideoComponent`, whose role is to display videos.

### How to create smooth scrolling

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The app has a `height: 100vh`. It has 2 sections. The first one, the div `app__video`, is scrollable with a `height: calc(100%-50px)`, and the second one, the upload section, has a fixed `height: 50px`.

**CSS scroll snap**

As written above, the class `app__videos` has the property `scroll-snap-type: y mandatory;` and  `overflow-y: scroll;` making the scroll vertical. This property allows for the creation of well-controlled scroll experiences by declaring a scroll snapping position, in our case, at the `start` of the video. To obtain this perfect result, we just need to add the property `scroll-snap-align: start` to the child component, here the `ApiVideoPlayer` *(see code in the section below.)*

## Display videos

We are going to use [api.video react player component](https://github.com/apivideo/api.video-react-player), which allows us to display our videos in just a few lines of code. The only requirement is to pass the `videoId`. Create a `ref` to manipulate methods like `pause` or `play` easily. We set the `object-fit` CSS property in `cover` to ensure that even a landscape video will take the full size.

## Upload a video

[api.video](https://api.video) provides a [typescript library](https://www.npmjs.com/package/@api.video/video-uploader) to upload videos to api.video using delegated upload token. The easiest way to create an upload token is to open your api.video’s dashboard, go to the upload tokens section from the sidebar, then click on the “*Create upload token*” button. Find the full guide [here](https://docs.api.video/vod/delegated-upload-tokens).

**Upload using delegated upload token**

We create a hidden input with a type `file` that we activate programmatically. Create a new object `VideoUploader`, and add two options, the `upload token` set as an environment variable for security purposes and the current `file` to upload.

That’s it. You are done 🎉. Now you can safely and efficiently upload videos.

## Conclusion

We recreated TikTok thanks to [api.video’s features](https://api.video/use-cases/short-form/) in just a few steps. We did not cover every topic, but the entire code is available [here](https://github.com/apivideo/tiktok_clone).

And we're done! To start building right now, check out our **[docs](https://docs.api.video/)** and **[sign up for a free account](https://dashboard.api.video/register)**.

***BONUS***

In this part, I will explain how **to send** 💟’s

Each video object has a `metadata` property containing an array of key-value objects. So we can add a ‘*likes*’ metadata with a numeric value and increase this value when the user has pressed on the 🤍 icon!

To record the new data, we need to update the video by making an API call 

Note: Find a full description of the upload method [here](https://github.com/apivideo/api.video-nodejs-client/blob/main/doc/api/VideosApi.md#update).

Ready to build your own TikTok-like project? Get started by [signing up](https://dashboard.api.video/register) with api.video!

Build your own TikTok with PWA and api.video

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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.

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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.

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

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

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

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- **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!

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_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!

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_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!

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

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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

Product updates

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!

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

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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.

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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?

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- 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. 

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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.

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_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. 

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[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.

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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. 

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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.

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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. 

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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. 

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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. 

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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.

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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. 


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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. 

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

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Canva Magic Studio, though currently in a very basic state, 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, I have full confidence that their AI video tool will evolve too. 

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As of now, 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](https://zapier.com/blog/best-ai-video-generator/#runway) (our #2 in the list).

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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.

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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>. 

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Let's start.

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_*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.

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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.

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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. 

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**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.

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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.

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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.

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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.

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_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._

How to build AI facial expression detection into your videos with React

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AI face recognition (React) - Version 2.png

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