live - create

Videos - Upload a Thumbnail

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Doug Twitter

Doug Sillars

Tutorials

NodeJS

JavaScript

When publishing a video on the web, sometimes it is desirable to add a defining mark on the video, often called a watermark.

When you use api.video in the sandbox, we add a watermark to show that the videos are being played back in our test environment:


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Perhaps you want to add your corporate logo in the corner of the video.  Or perhaps the class name.  There are a number of different reasons you might want to add a watermark to your video, and in this post, I'll walk through two approaches to add a watermark to your videos. 

NOTE: We now have watermarking available as part of the API. Check out the new way to update content here: [https://docs.api.video/reference/api/Watermarks#upload-a-watermark](https://docs.api.video/reference/api/Watermarks#upload-a-watermark)
 
## The watermark

In this study, we'll be adding the api.video logo as our watermark.  I (randomly) chose to insert the logo in the top right corner of the video.



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Your watermark should be appropriately sized for the space in the video.  In this case 100x100 pixels to fit inside a 1920x1080 video (~5%x10% of the screen). 

I have adapted the [record.a.video](https://record.a.video) app to add a watermark and you can test it at [watermark.a.video](https://watermark.a.video), and in this app, I have provided 2 ways to add the watermark: the frontend and the backend.  

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If the box is checked, the watermark is inserted on the frontend. If unchecked, the watermark is added on the backend.  The field allows you to change the image being added as a watermark.  

## Frontend Watermark

In the watermark.a.video application, the screen (screenCaptureAPI) and the camera (MediaRecorded API) are drawn to a canvas.  I've [described this process in detail](https://api.video/blog/tutorials/building-record-a-video-the-screencapture-api/) with code samples. The canvas is refreshed every 20ms, giving 50 FPS video on the canvas.  

To add a watermark, I simply load the image into the app, and instead of only drawing the screen (videoElem) and the camera (cameraElem), I add the watermarkImg:

```
        console.log("FE watermark", canvasWatermark);
        //load watermark image
        var watermarkImg = new Image;
        watermarkImg.src = canvasWatermark;
            //draw the 2 streams to the canvas
            drawCanvas(videoElem, cameraElem,watermarkImg,ctx);

```

Inside the drawCanvas function, I draw the watermakrImg on top of the other 2 elements (by placing it last in the list of things drawn):

```
    function drawCanvas(screenIn, cameraIn,watermarkImg, canvas){
        var textLength = 60;
        canvas.drawImage(screenIn, screenX0,screenY0, screenX1, screenY1);
        canvas.drawImage(cameraIn, cameraX0, cameraY0, cameraX1, cameraY1);
        canvas.drawImage(watermarkImg, watermark_x, watermark_y);
```

For this demo, I have hardcoded the watermark to be in the upper right corner, so watermark_x = watermark_y = 25.


## Backend Watermark

Perhaps the watermarking for your videos needs to be hardcoded into your process, or you do not want your users to be able to modify the watermark. Adding a processing step in the backend to insert a watermark makes this easy.

> Note that this approach oly works on a live stream, and not with the video on demand.  The VOD recording is done completely on the front end.

In the [record.a.video](https://record.a,video) app, livestreams are sent to a NodeJS server, where the WebRTC video recorded by the browser is converted to RTMP for ingestion into the api.video livestream server.  This conversion is done with FFMPEG.  We can simply modify the FFMPEG command insert the watermark on top of the video while it is being transcoded.  

```
			var ops = [
				'-i', socket._watermarkUrl,
				'-i','-',		
         '-preset', 'ultrafast', '-tune', 'zerolatency', 
			       '-r', framerate, '-g', framerate*2, '-keyint_min',keyint_min, 
				'-filter_complex', '[1:v][0:v] overlay=25:25',
     				'-c:a', 'aac', '-b:a','44k', '-ar', 44100, 
			        '-f', 'flv', socket._rtmpDestination		
		
		];

```

The FFMPEG options for watermarking has 2 lines added to the code from record.a.video.

```
				'-i', socket._watermarkUrl,
```

We have to give the URL of the image to add as the watermark.

```
	'-filter_complex', '[1:v][0:v] overlay=25:25',
```

The filter complex tells FFMPEG the order of the overlay.  Since I add the watermark first (index 0), and then the video stream(index 1) - we place the video stream first, and then the watermark on top, with an offset of 25x25.

FFMPEG reads the image file and just inserts it on each frame encoded to the api.video server.

### Watermark addition

In both cases, the live video that is sent to api.video has the watermark added. In the first case it is added in the browser as the video is being recorded, and in the second case, it is inserted by FFMPEG during a transcoding step.

Here's what the resulting video looks like:




In either case, you can see that we have successfully added the api.video logo as a watermark in the upper right corner.  Try out the demo: [watermark.a.video](https://watermark.a.video).  If you want to add watermarks to your videos - try out [api.video](https://dashboard.api.video/register). Feel free to fork the repo on [Github](https://github.com/dougsillars/watermarkavideo) and try it out yourself! And you can check out all the API reference documentation here: [api.video API Reference documentation](https://docs.api.video/reference). If you have any questions or suggestions, please let us know on our [communtiy forum](https://community.api.video/). 



Watermarking your video or live stream

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Erikka Innes

Python

Video thumbnails have the power to make a video more watchable. Thumbnails give people an initial impression of what your video is about. 
If you have time, the best thumbnail for a video is going to be one where you choose something representative of the video's content, and then add it. But sometimes, you might not have the time to manually choose the perfect thumbnail for every video you create. Sometimes, you might just want to quickly add a thumbnail that represents a frame from the video, and move on. 
You can easily accomplish this with FFMPEG for Python. 

## Pre-requisites

* Mac that's OSX10.7 or higher (as always, you can tweak the instructions for Linux or PC if you want to try that but it's a Mac focused tutorial)
* Homebrew - if you don't have it we'll include a little about installing it
* Xcode - you can add this as part of a homebrew installation
* api.video account - you can get one for FREE right [here](https://dashboard.api.video/register)
* Python
* requests module for Python
* ffmpeg-python
* Homebrew - installation of FFMPEG is much easier with homebrew

## Install FFMPEG
Sometimes an FFMPEG install can get complicated. You'll see a lot of people online asking why their installation doesn't work. If you have a Mac, there is an easy answer to this problem...hopefully. Let's go over one simple way you can install FFMPEG so it starts working at the command line for you right away. We're going to use the homebrew method, because it makes installation simple if you already have homebrew installed.

## For Users Who Already Have Homebrew
If you've got homebrew installed, all you need to do is this:

`brew install ffmpeg`

That's it. It should install without issue. (Famous last words right?) Test that it works with this:

`ffmpeg -version`

If it's installed, you will get back a bunch of information about your configuration. If not you will get an error of some type. Troubleshooting installation is beyond the scope of this tutorial, but you can post questions in the [community forum](https://community.api.video) and we'll help you figure it out.

## For Users Who Don't Have Homebrew
If you fall into this category, you may be wondering what homebrew is. It's a free, open-source software package manager. It simplifies installation of software on macOS and Linux.

To install homebrew, you'll need to run this command:

`/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"`

If you don't have Xcode, or the appropriate Xcode components installed, you'll have to install those. Fortunately, you'll be told what's missing so you can install it. Follow the instructions to install and if you run into problems, there is a lot of documentation online to help you through. We can't be more specific for Xcode, because there's a lot of ways your installation can differ from another one. However, if you need help, feel free to contact us in the 
[community forum](https://community.api.video/).

## Thumbnail Creation Method - Using FFMPEG 

You can use ffmpeg-python to create a thumbnail and upload it for use with your video. If you don't want to get into learning FFMPEG, you can also use api.video's endpoint that allows you to pick a time from the video, and have it set as the video thumbnail for you automatically. 

NOTE: The thumbnail must be .jpg or .jpeg and 8MB or smaller.


If you're interested in trying it with ffmpeg-python, then here's the code: 

Let's dig in a bit to what's going on here. First, to make the sample easier to work with, we have the file we want to take a thumbnail from in the folder. Our thumbnail will output to the same folder. 

Next in our code, we create a function that will create a thumbnail for us. It takes the path to the file we want to grab a thumbnail from. Then we retrieve the length in seconds of our movie. Right now this function takes a thumbnail from about halfway through the video it receives. It then outputs the file, named 'THUMBNAIL.jpg' to the same folder where we can check it out if we want. 

Now we're ready to upload our video and thumbnail. 

## Upload the Video 

The code for this is straightforward. You can upload a video using one of these options: 

* [Delegated Uploads for Videos Large and Small](https://api.video/blog/tutorials/delegated-uploads-for-videos-large-and-small-python/)
* [Upload a Big Video File Using Python](https://api.video/blog/tutorials/upload-a-big-video-file-using-python/)
* [Upload a Video From Your Computer with the api.video API (Python)](https://api.video/blog/tutorials/upload-a-video-from-your-computer-with-the-api-video-api-python/)

Make sure you grab the videoId for your video. 

## Add Your Thumbnail 

The code to add a thumbnail looks like this:

In this code, you retrieve your access token, then you set up your headers and URL. The URL must contain the videoId for the video you want to add a thumbnail to. Add your thumbnail as a binary file. You can check the json response to make sure everything was a success, and double check by looking in your dashboard at your video. Sometimes the new thumbnail populates to the video faster on the individual page for viewing that video, so give it a few minutes and then hit refresh to be sure your thumbnail was added. 

You could potentially use this method with some tweaks to create a short trailer of thumbnail images. We'll go over how to do that next! 

Don't hesitate to ask us questions on [our community forum](https://community.api.video/)!

Create a thumbnail for your video with Python and FFMPEG

Create a Thumbnail For Your Video with Python and FFMPEG

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codec

video create

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Cédric Montet

Product updates

At api.video, our goal is for video to be easy and affordable for anyone to build, be it individuals or organizations. We understand that achieving this goal means reducing costs at some stage of the video streaming process. That’s why, we now offer adaptive bitrate encoding for your videos at zero cost. 

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Yes, you heard me right. 

&nbsp;

**Encoding videos will be absolutely free for all video qualities (1080p or 4K) at [api.video](https://api.video/) - no hidden calculations, footer notes or tricks.**

(Check out this [video](https://www.youtube.com/watch?v=ouosgLbW7Ts) for more details) 


## A step towards making video streaming affordable

Video encoding is crucial as it makes it possible for videos to be shared and played smoothly on the internet. It is why we are easily able to consume various types of video media, whether it’s a YouTube video, our favorite shows on Netflix, or even catching up with friends across the globe on Zoom. Video encoding basically makes the world go around in regards to anything related to video and video content.

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We at api.video recognize that. From [increasing the transcoding and playback speed ](https://api.video/blog/product-updates/2021-in-review/)to building [specialized hardware like ASICs](https://api.video/blog/video-trends/the-comeback-of-specialized-hardware/) cards to increase our transcoding capacities, we've been working to make video streaming easier for you every day. And after dedicating ample time to engaging with our customers and learning about their concerns, free encoding seemed to be the next step in this direction. 

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So, we worked tirelessly behind the scenes to give you what no one else will - free encoding for all video qualities, be it 360p or 4K. 

## How does free video encoding benefit you as a customer

The benefit is straightforward: you save a LOT of money!

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- With free video encoding, you will have one less thing to worry about. As you know, you pay for three things for streaming videos — encoding, hosting, and delivery – out of which encoding is the most expensive, especially if you have a lot of videos. Free video encoding will allow you to focus your attention and resources to what is most important.

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- As the video needs of your app users grow, you might need to scale up your encoding capacity. Free video encoding services will give you the power to scale without any additional costs, meaning your users can handle more videos without increasing your expenses.

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- You can [migrate from your previous provider to api.video](https://api.video/compare/azure-media-services/) without paying an ‘entry tax’ to us. With free video encoding, you no longer need to spend money on encoding videos with a new provider when you have already paid for encoding with an older one.

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Now with all the saved cost, you can allocate your resources and money to a place where it is actually important – building your product and delighting your users. 

## How to get started

To use the free video encoding benefit, getting started is easy. 

&nbsp;

- If you’re a new user, [sign-up](https://dashboard.api.video/register) for a free sandbox account and start uploading your videos
- If you are looking to migrate from another vendor, [import](https://import.api.video/) your videos from your current vendor
- If you have any questions, [talk to us](https://meetings.hubspot.com/diego398/cc-talk-to-us?__hstc=54467703.754940701eda85e3c99a902d8ab0b988.1687266643206.1694417789132.1694427271479.149&__hssc=54467703.3.1694427271479&__hsfp=3654297906) by booking a slot in our calendar

&nbsp;

To know more about our[ features](https://api.video/features/), [pricing](https://api.video/pricing/) or ask any other questions, [talk to our team ](https://meetings.hubspot.com/diego398/cc-talk-to-us?__hstc=54467703.754940701eda85e3c99a902d8ab0b988.1687266643206.1694162373815.1694167498585.144&__hssc=54467703.1.1694167498585&__hsfp=3654297906)and we will help you out. 

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Or, you can straightaway [sign-up](https://dashboard.api.video/register) for a free sandbox account and check our product out for yourself. 


Huge pricing update: Introducing video encoding at no cost

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api.video

Video trends

Modern technology has been helpful for an increasingly fast and simple method of consuming various types of video media, whether it’s a YouTube video, our favorite shows on Netflix, or even catching up with friends across the globe on Zoom. Despite the relative ease of doing anything related to video, a few complex processes take place behind the scenes, away from public view. One such process is video encoding.

Video encoding basically makes the world go around in regards to anything related to video and video content. Thanks to the technologies behind the video encoding process, it has become much easier for people and companies to share video content on the internet. But what exactly is video encoding, and what happens during the process? We’ll take a closer look at this and much more in this handy guide to video encoding.

## What is video encoding?

In a nutshell, video encoding occurs when you take raw video footage, either from a digital camera or an analog film camera, and digitally compress it to make it a more manageable file size. Video encoding happens daily in both professional and personal capacities, and many people don’t realize it.

But, without encoding, services like Netflix and YouTube would not exist – or, at least, not in the same way that it does today. Without it, we couldn’t send videos of our beloved pets to our friends and family as easily as we can today.

## Why is video encoding used?

There are a variety of reasons why video encoding is used, but all factors point to the single function of video encoding – **compression**.

This is done to ensure optimal performance and compatibility with a selected suite of software and hardware, be it for DVD/Blu-ray playback, mobile viewing, online video streaming, or general video editing. A file's video and audio information undergo transformation and compression during the encoding process, all in accordance with the requirements of the selected encoding standard.

On a professional level, the ability to compress raw video into more manageable sizes makes it easier to transmit video content such as training, promotion, presentation, and so on over the internet. 

On a personal level, video encoding makes it much easier to send videos taken from your phone directly to friends and family. Most modern-day personal devices have built-in video encoding capabilities to allow for this to happen without a second thought.

To put things in perspective, uncompressed or unencoded video can have a data rate that’s as low as 3,000 Mbps and as high as 12,000 Mbps, depending on the length and quality of the video recorded. 

**Without encoding, it would take up to days for anyone to not just transmit video, but to be able to consume it, too.**

## Differences between video encoding and video transcoding

You need to be familiar with two more [essential terms related to video encoding](https://api.video/what-is/) – transcoding and codecs.

Transcoding relates to the conversion from one digital encoding format to another. It takes the already encoded video file, decompresses it, and then alters it before re-encoding or compressing it into a different codec. Codecs are what allow encoding to occur in the first place. They are software or hardware that gives us the ability to compress video to make them more easily stored and delivered tightly.

While you may hear “encoding” and “transcoding” used interchangeably, the two terms actually mean different things. Putting it succinctly, encoding is the initial process of compressing a video from a source – such as a camera – into a codec, while transcoding takes an already encoded video file to convert it into a different codec.

## Examples of video codecs

In order to understand video encoding, you must first be familiar with two interrelated terms: [video codecs and video formats](https://api.video/blog/product-updates/every-video-format-codec-and-container-explained/). These also tend to be used interchangeably, but much like the terms encoding and transcoding, they refer to two different things.

Video formats are the type of files in which the compressed video/audio is stored. Also known as a “container”, you can tell what a video format is by looking at the file’s extension — the three to four characters that sit after a period in a file name. Here are some of the most common video formats used today:

* MP4
* FLV
* MOV
* MKV
* LXF
* MXF
* AVI
* WebM
* QT

On the other hand, **the codec is short for “Coder / Decoder” (compression / decompression)** and relates to the video compression algorithms that allow encoding to happen. Over the years, codecs have gone through multiple iterations as it coincides with the increasing sophistication and rise in the quality of filmmaking. 

If you’re a content creator, you might be aware of some of the video codecs that exist today:

- **H.264 – also known as AVC, this is the most widely-used video codec available on every platform and mobile device.**
- H.265 – also known as HEVC, stands for High-Efficiency Video Coding, and it’s slowly overtaking H.264 as the standard. This codec can compress video much more efficiently than its predecessor.
- **VP9 – is an open-source, royalty-free codec developed by Google and is considered the direct competitor of H.265. The video compression codec VP9 was created to reduce file sizes, making streaming videos simpler.**
- **AV1 – is another royalty-free, open-source codec released in 2019 by the non-profit Alliance for Open Media. It was developed to become the successor to Google’s VP9 and contend with HEVC more directly.**

## How do different technologies handle video encoding

As you may have suspected, there are a majority of ways that different technologies handle the video encoding process. Let’s take a look at the most common technologies that use video and how video encoding works on each of them:

### Video editing software

When it comes to video content creation, a majority of people will use one of two video editing software — Adobe Premiere Pro or Apple’s Final Cut Pro. Both of these video editing software handle video encoding in very similar ways: when exporting the finished video.

Depending on which device the video content is recorded on, it will already be encoded and formatted according to the settings of the device. For those using iPhones recording 1080p video at 25 frames per second (FPS), for example, the iPhone will automatically encode the video using H.264 and contain it in a .mov file format. The video editing software will “open up” the container to get to the encoded, compressed video file within so the editing process can begin.

After editing the footage is complete, it will need to be exported, which typically concerns video encoding. The edited raw media taken from a recording device such as a camera will be encoded via the codec of the person’s choosing before being put into a .mp4 container once they’ve hit “export”. As we’ve mentioned before, the most common codec used in video content creation is H.264 for HD videos, with 4K videos using H.265. 

### Websites

Different websites utilize different techniques to handle video encoding – with a majority of the major sites like YouTube, Netflix, and so on using their own technologies to handle the process. A majority of social media websites allow you to upload video files directly onto the site to share, although most of them require the files to be saved in specific containers. 

These websites will take your video file and transcode it before using their own systems and serves to re-encode it to match multiple display resolutions. This process will happen regardless of your video file's original codec and settings. Different websites have different processes, but companies that don’t have the capacity to build their own video encoding systems can use a third-party application programming interface (or API) to handle this process. These APIs act as [dedicated video encoder](https://api.video/encoding/) that allows companies to add on-demand videos to their websites more efficiently.

Using [api.video](http://api.video) as an example, all of the videos submitted to the platform will be transformed into H.264 codec in an MP4 container. This may be done using transmuxing and/or transcoding.

We expect the video bitrate to be lower than 16 Mbps for up to 1080p resolution and 50 Mbps for up to 4K resolution. We accept any bitrates, however, we will scale them down to the limits mentioned because anything above is usually challenging for most viewers’ connection to watch.

### API

The ability to generate, store, and distribute video is made possible via a video API. [api.video](http://api.video)’s solution can be tailored to suit any specific need. 

The backend process of video on demand (VOD) is exceptionally complex, even if you’re a software programmer specializing in video. It is necessary to encode, package, and typically transcode the data before sending it to any of several possible destinations. All of these things, and more, may be done with minimal fuss using api.video.

Our API basically keeps the complexities of streaming media hidden from view, so you can rapidly develop apps with as much control as you need. This saves time and effort so developers can concentrate on making the product.

## Conclusion

As you can see through this video encoding guide, a lot of work goes into making the video you watch and the video you share possible. Without video encoding compressing raw video footage, it could take days to upload and transmit video content over the internet and perhaps even longer to be able to download and enjoy them. 

The best part about encoding at api.video is that is offered at ZERO cost. You will only be charged for delivery and hosting of your videos, and the encoding will be free. Now integrate your videos in minutes with api.video or [contact us](https://api.video/contact) for more information.

A Guide to Video Encoding & Video Codecs

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Encoding and transcoding are often used interchangeably but they have slightly different definitions. **Encoding is the initial process of converting raw video files into a specific digital format or codec.** It involves compressing and packaging the video data, often to reduce file size while maintaining acceptable quality. Encoding prepares the video for storage, transmission, or playback.

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**Transcoding, on the other hand, involves converting a video from one digital format or codec to another.** This is typically done to optimize the video for different devices or platforms, adapt to varying network conditions, or ensure compatibility with specific playback requirements. Transcoding occurs after encoding and often involves changing resolution, bitrates, or formats without altering the content itself.

## What goes on behind encoding a video?

It's easy to say that encoding is when you go from an _uncompressed source_ to a _compressed source_, but you may ask, what exactly do compressed and uncompressed sources mean?

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Uncompressed sources are video files that contain data that comes directly from a camera sensor vs. encoded video. In the digital space, it's SDI (Serial Digital Interface) or HDMI (High Definition Multimedia Interface). Both of them are popular standards. You'll find HDMI in places like your GoPro camera, or a mini camcorder. These days, you might also find HDMI in professional settings, but SDI is more common due to its reliability. Another example of an uncompressed source would be something analog, for instance, VHS tapes.

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A compressed sources, on the other hand, are video files that have undergone compression during the encoding process. Compression involves reducing the file size by removing unnecessary information or encoding the data in a more efficient format. This process results in a smaller file size, making it more manageable for storage, transmission, and playback.


## What are the types of transcoding methods?

There are three types of transcoding, depending on what you are trying to do to get a video to suit a particular browser, player, or platform:

* **Lossless-to-lossless** - This type of transcoding maintains the quality of your video across formats but allows you to take advantage of better hardware or compression algorithms. 
* **Lossless-to-lossy** - This type of transcoding will decrease your video in quality, but it will benefit you in ways such as – you will get a smaller and/or faster playing file, or a file that is compatible with the requirements of a particular platform, player, or browser.
* **Lossy-to-lossless** - Sometimes people think this means they are regaining quality. This isn't the case in this type of transcoding. If you transcode from a lossy format to a lossless format, all that it means is that you will not lose additional quality in the conversion process. You will not regain data you already lost through compression.

## Codecs for encoding and transcoding

For both encoding and transcoding, you will need to make use of codecs. A codec's job is to compress and decompress video files. It's right there in the name -  **co**mpress **dec**ompress or encode decode. So basically, codec is an algorithm that takes the video and shrinks it or changes it into a format that makes it compatible with the requirements of wherever you want the video to play. There are many codecs because there are many ways to compress a video or livestream for playback.



## What is transmuxing?

Now that you know the difference between encoding and transcoding, let's throw one more term in there - transmuxing. Transmuxing is when you change the container for a video instead of the format. It's a way of repackaging a video to make it compatible somewhere without changing what's in the file. 

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This process is faster than encoding or transcoding and takes less computing power because you only change the container, not the file. It's great when you need to quickly make something available, but the downside is that it doesn't handle things like making multiple video resolutions available. If you choose a container type that's incompatible with your video file, you may also cause compatibility issues, resulting in not being able to play the video.

## In closing

* **Encoding** - Encoding happens when you compress a raw data file from a video camera sensor or an analog source like a VHS tape. 
* **Transcoding** - Transcoding happens when you take an already compressed video file and change it to another format.
* **Transmuxing** - Transmuxing happens when you change the container of a video file but leave the video file untouched. 

We hope that explains the difference between encoding and transcoding clearly. 

_If you are looking for an affordable video API solution that does not burn a hole in your pocket for transcoding and encoding videos, check out our offerings on our [homepage](https://api.video/) or [sign-up for a free account here](https://dashboard.api.video/register)!_

Encoding and transcoding: what's the difference? 

Encoding and Transcoding - What's the Difference?

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Once I upload my video, how quickly will it be ready to be viewed?

Our reply to this question has always been “it's really fast.”  And it is really fast. But, the dev team gave me access to the backend database, and pointed me to a few tables that might be helpful (thanks to Thomas Persohn for your patient help!)

Thus armed, I waded into a sea of data to better understand how fast our videos are encoded at api.video

## Encoding

When a video is uploaded to api.video, it is re-encoded to a HLS stream, with several different video dimensions and bitrates.  This allows api.video to deliver properly sized video to all users - no matter the device or network connection. (Read our post on [Responsive video delivery](https://api.video/blog/video-trends/responsive-video-delivery/) to learn more.)

> Summary:  All videos are encoded at 240p, 360p, 480p, 720p, 1080p and 2160p. However, the videos are only encoded up to the initial size of the video (so if the original video is 720p, there will not be 1080p or 2160p versions available). 

**FYI:** For our customers, encoding is absolutely free – we offer adaptive bitrate encoding at zero cost. 

How long does this step take? If a customer uploads a video to our service - they want to know how efficient api.video creates the content for viewing.

### Data in the study

We are constantly making adjustments to our infrastructure to speed the encoding step of our video (and that is one reason this post is dated 2H 2020 - we expect to be faster in early 2021). The last major adjustment was made in mid October, so the data presented in this study from every video uploaded to the api.video service between 15 October and 2 December 2020.

### Parameters that affect encoding

There are 2 major parameters that affect the speed of encoding a new video stream: the output dimensions and the length (duration) of the video.  

#### Dimensions

The output video dimensions have a huge impact on video creation - a 3840 × 2160 (or 4K or 2160p) video has millions more pixels than a 320x240 (240p) video, so it takes a lot longer to create.  In general, the videos exit the encoding process from smallest to largest.

#### Duration

If a video is 30 frames per second, and is 60 seconds long, there are 1800 frames to be created.  If a 30 frame per second video is an hour long 3600s), there are 108,000 frames to be created, so the longer the video - the more time for creation.

## Analysis

To better understand the encoding time, I divided the data by the size of the output video size, and looked at 2 lengths of video  - those under 5 minutes, and videos that are 45-75 minutes long (we are often asked how long a 1 hour video takes to encode).

I calculated encoding time for each bucket of video using percentiles.  

> Quick review - percentiles break the data into 100 evenly sized segments, so the 25th percentile is when 25% of the videos have been encoded. The median is the 50th percentile, and is when 50% of videos have been encoded.  We report here to the 95th percentile for video encoding.

### Short videos - under 5 minutes long

Many of the videos uploaded to api.video are short - under 5 minutes long.  These videos are generally ready to play in a few seconds:



The above chart has a lot of data, the 25, 50, 75, 90 and 95th percentile encoding times for all 6 variants of the video that api.video creates.

The median video is ready to play (at 240p) in 5.6 seconds, but a 720p version will be ready in 15s after encoding begins, and the 4K version will be ready in 37 seconds.

95% of all videos (under 5 minutes) will be playable in 32.6s, and will have 1080p versions ready in just over 2 minutes (140s).

### Long videos - 45 - 75 minutes long

Our most frequently asked question on encoding is "how long for a 1 hour video to be encoded and ready?"  Here are the numbers:


Observant viewers will see there are no 4K videos in this report. At this time, there are very few 4K streams that reach the 1 hour timeframe, and the data was quite noisy.  Hopefully, more of our 'long uploads' will add 4K support, so we can add this metric in our next update.

The median hour long video (red line) will be ready to play (at 240p) in just over 9 minutes (555s), and a 720p version will be ready about 18 minutes after encoding begins (1099s).

95% of hour long videos will have a 240p version ready in 33 minutes, and 720p in 54 (3230s).  the 1080p version will be available for 95% of videos in 108 minutes,

## Conclusion

Short videos will be ready to play - even at high resolution - in under a minute: the median 4K encoding for a short video is 37s. 

Hour long videos take longer to encode, and the median 720p video will be ready in 18 minutes.  95% of 720p videos will be ready to play in 54 minutes.

This is really fast! You can have responsive streaming video ready for your customers in just a few minutes with a simple upload!

That said, our team is working hard in the background to improve our infrastructure to make our encoding speeds even faster! 

We're really excited to have hard numbers to share with you on our encoding speeds, and we cannot wait to re-benchmark this data in 2021 to see how much faster your videos will be encoded as we improve our service.

Do you have questions about api.video or video encoding? Reach out on our [community page](https://community.api.video).


How fast does api.video encode video? 2H 2020 data

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Huge pricing update! Introducing video encoding at zero cost

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Huge pricing update! Introducing video encoding at zero cost