Questions tagged with Amazon Elastic Transcoder

I want to generate an output in AWS elastic transcoder 1080p 60fps encoded with h264 but it doesn't play for me because the maximum level configured is 4.1. Is there a way to generate an output to be able to play in 1080p 60fps in hls?

We want to create our own codec to stream the audio files on our app(developing stage) which will support high resolution audio files , does AWS provide containers to create our own codec and stream the audio files in our own codec. For example : if we create our codec say .xyz and we want that the audio files are saved in S3 can run on this codec by media converter. can that happen ? So, in conclusion can we create a container that can run our codec for the same with the help of **creating a new transcoding preset** option available in the media convert and will AWS Media Converter, will support our codec to stream those audio files.

Is there a way to get more fine grain status notifications from Elastic Transcoder when Progressing a job? Would like to be able to display a more fine grain progress status to users when a transcoding job is in progress. Currently in my app's UI, I'm only able to show the status as "Processing" when the ET job is progressing. This is not enough feedback for the user, especially for jobs that can take a long time. They think the job is stuck. Would be great to be able to at least display progress increments of 25%, 50%, 75%. Thanks!

Hello, I have an elastic transcoder job which stuck in the `Progressing` state for 1.5 hours now and I can't cancel, nor do anything with it and based on the pricing, I think this keeps billing us for every minute of doing nothing :( I tried to cancel it but obviously it doesn't work because it's not in `Submitted` state. ``` $ aws elastictranscoder cancel-job --id 1643628415554-$jid An error occurred (ResourceInUseException) when calling the CancelJob operation: The job was already in use: accountId=<redacted>, resourceId=1643628415554-$jid. ``` The `read-job` doesn't tell much more than `"Status": "Progressing"` :/ How could I terminate the job? ### Job timing on the details page - Submit Time: 2022-01-31T12:26:55+0100 - Start Time: 2022-01-31T12:26:56+0100 - Time in Queue: 0:00:00.905 - Transcoding Time: - - Finish Time: -

We manage many thousands of video uploads and recently received a video that despite being converted to a number of different formats (mp4, mkv, mov) continually errored during the transcode (4000 error Amazon Elastic Transcoder could not interpret the media file.). The video had the following encoding attributes (created on an iPhone 12) Codecs: AAC, Timed Metadata, HEVC Colour profile: BT.2020 HLG (9-18-9) Dimensions: 1080 × 1920 I was able to play the video locally with no issues. We are using the following preset: 1351620000001-000020 (MP4, 480P, H264, etc) - I tested with a series of other presets on our dev host and none of them could handle this video. We were able to finally get Elastic Transcoder to ingest the video after taking it into Adobe Premierre and converting it to an MP4 there, with the following changes: Codecs: AAC, H.264 Colour profile: HD (1-1-1) I had earlier created an MP4 without changing the colour profile and that failed - so I think it may be something to do with the colour space. Changing the preset colour space conversion mode to Auto didn't fix this issue either. Thankfully this is the only one of these that I've seen this week - wondering if anyone knows what the best preset is for dealing with these new colour profiles?

Hi! Is it possible to raise the number of allowed inputs to the job? I get the following error when creating a job with lots of inputs: > 'inputs' failed to satisfy constraint: Member must have length less than or equal to 200 I need to handle more than 200 inputs and while I could do that in multiple passes, it would be a lot more convenient to do it with a single job.

I would like to know if you can download the files that have been transcoded and use them outside of AWS. As our project grows, I would like to keep an eye on potentially using an alternate CDN service that is not tied to AWS. I would like a backup with the files that I have already transcoded using AWS Elemental MediaConvert in storage as we are figuring out our best option for a service provider being a small company if that is possible. Would I have to transcode the videos again with their software, or can the .m3u8/.ts files be taken elsewhere? Our launch of our product will be done with AWS CloudFront and it is already set up and working, but we are unaware of what traffic we might incur, and we would like to be ready if it gets expensive quick. There isn't much information that I can find about the actual process of how a .m3u8 file works dissected. I keep seeing that it is a playlist that points to the files, and how the distribution works, but what happens when the .m3u8 file url is called. A lot of the examples show a url in the .m3u8 file, but looking at the ones I downloaded from my bucket, it seems like it looks for a name. Is it because it is in the same folder that it plays? Is there a process I don't see that runs when the URL is called that finds the files? I'm a app developer so video formats, transcoding, and a lot of AWS features are very foreign to me and very confusing, but I would like to know how the process works. My main question is if you can use the transcoded files elsewhere easily, but if anyone can point me to a good breakdown of how the process works, I would greatly appreciate that. I Like to know how a car engine works, not just put the key in and turn it to start it, but if I just get how to start it then I'm good with that.

In order to be backwards-compatible with our Elastic Transcoder lambda function I'm hoping I can figure out a way to achieve finer-grained control over how the output M3U8 and TS files are created. In Elastic Transcoder we can create a JobPlaylist containing a list of OutputKeys that are tailored to other public-facing services. These services expect to see "sgmt\[N].m3u8" for each of the streams we're creating (low, medium, and high resolution), with the name of each TS segment formatted as "sgmt\[N]NNNNN.ts" (for example, "sgmt100001.ts"). I've been able to get fairly close to satisfying this requirement with the existing MediaConvert jobs and presets... except I still haven't been able to figure out how to eliminate the underscore that MediaConvert insists on including in the filenames ("sgmt1_00001.ts"). Is there any way to eliminate this underscore? Barring that, is there any way (aside from having to write another lambda to wait for the first lambda to complete the transcoding) to either iterate / rename the TS files or use another MediaConvert API to achieve the same playlist effect we're currently getting with Elastic Transcoder? EDIT 26NOV19: I've also tried using the "$Number$" formatter described in the MediaConvert documentation ("Using Settings Variables with Streaming Outputs"), and it's treated as a string literal instead of a formatter in the output filename.

1000件の動画をmp4→HLS(m3u8)に変換する、効率的な方法はありますか。 MediaConvertとElastinTranscoder、どちらのGUIからもCUI（API）からも、1件ずつしかできなさそうなので、1000個のリクエストを生成・実行するコードを書こうか検討しています。 Is there an efficient way to convert 1000 videos from mp4 to HLS (m3u8)? From MediaConvert and ElastinTranscoder, both GUI and CUI (API) seems to be able to do only one by one, so we are considering writing code to generate and execute 1000 requests.

I am getting an 403 error when trying to use AWS Elastic Transcoder on my test site and I can’t seem to figure out where the problem lies. I have checked in my IAM policies and identity pools etc. to no avail. The error: GET https:// elastictranscoder.us-east-1.amazonaws.com/2012-09-25/pipelines/xxxxxxxxxxxxx-xxxxxx 403 (Forbidden) index.html:xxx AccessDeniedException: User: arn:aws:sts::xxxxxxxxxxxx:assumed-role/Cognito_Unauth_Role/CognitoIdentityCredentials is not authorized to perform: elastictranscoder:CreateJob on resource: arn:aws:elastictranscoder:us-east-1: xxxxxxxxxxxxx:pipeline/xxxxxxxxxxxxx-xxxxxx ``` AWS.config.region = ‘xx - xxx - x’; // Region AWS.config.credentials = new AWS.CognitoIdentityCredentials({ IdentityPoolId: "xx-xxx-x:xxxxx-xxxxx-xxxx-xxxx-xxxxxxxxx”, }); var elastictranscoder = new AWS.ElasticTranscoder(); var button = document.getElementById('button'); button.addEventListener('click', function() { var params = { PipelineId: ‘xxxxxxxxxxxxxx’, /* required */ Input: { Key: “xxxxxxxxxx / xxxxxxx.xxx” }, OutputKeyPrefix: ‘xxxxxxx / ‘, Outputs: [{ Key: ‘xxxx.xxx’, PresetId: ‘xxxxxxxxxxxx’, }, ], }; elastictranscoder.createJob(params, function(err, data) { if (err) console.log(err, err.stack); // an error occurred else console.log(data); // successful response }); }); ```