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    Movie Masher

     Info
    Deployed on AWS
    JavaScript video editor, encoder, and streamer
    5

    Overview

    The Movie Masher AMI includes the entire moviemasher.js open source repository, with both its ReactJS client and ExpressJS server. Together they provide the front and back ends of this complete audio/video editing system. Modern JavaScript facilitates a realtime, low resolution preview in the browser, while FFmpeg is utilized under the hood to render a final video from high resolution source material. The result can be formatted and encoded as needed for download or streaming.

    Highlights

    • Open source under the Mozilla Public License version 2.0, available on Github, NPM, and DockerHub
    • Browser preview is SVG based and has no dependencies, while the rest of the editor is implemented as a ReactJS application
    • The FFmpeg filter chain mechanism is essentially replicated in the browser, allowing many potential effects to be configured

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    AmazonLinux 2.0.20220912.1

    Deployed on AWS
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    Features and programs

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    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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    Pricing

    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (33)

     Info
    Dimension
    Cost/hour
    m4.2xlarge
    Recommended
    $0.20
    t2.2xlarge
    $0.20
    t2.medium
    $0.025
    c3.xlarge
    $0.10
    c4.xlarge
    $0.10
    r4.large
    $0.05
    m4.16xlarge
    $1.60
    r4.xlarge
    $0.10
    r4.8xlarge
    $0.80
    r3.large
    $0.05

    AI Insights

     Info

    Dimensions summary

    You pay by the hour for this software running on an Amazon Machine Image (AMI). Pricing is organized by EC2 instance type, so your rate depends on the instance you launch. The options span several families: t2 for general-purpose use, m4 for balanced compute and memory, c3 and c4 for compute-focused work, r3 and r4 for memory-intensive tasks, and g2 for GPU workloads. Within each family, larger sizes carry higher hourly rates. You can match instance size to your video editing and rendering workload, and stop paying when you stop the instance.

    Top-of-mind questions for buyers

    You get a ready-to-run Amazon Machine Image with the video editor, encoder, and switcher installed. It bundles the ReactJS client and ExpressJS server, plus the rendering engine. You run it inside your own AWS account and pay the software rate for each hour the chosen EC2 instance runs.
    The software rate meters only running instance-hours. When you stop the instance, software charges stop too. You pay again when you start it. Note that stopped instances may still accrue AWS storage fees for attached volumes, which are separate from the hourly software charge.
    The g2 family adds GPU hardware, which can speed up visual compositing and video rendering. The c3 and c4 families favor CPU-heavy encoding. The r3 and r4 families suit memory-heavy editing of large projects. You match the instance family to your workload and pay that family's hourly rate.
    moviemasher.com
    Helpful?

    Vendor refund policy

    Refunds cannot currently be facilitated, though you can cancel at any time to stop incurring charges

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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Version release notes

    New container/content pattern, vector-based masking, transform/color tweening, reorganized inspector.

    Additional details

    Usage instructions

    Access the application by loading the Public DNS Name or Public IP Address of the instance via HTTP in your web browser - use the instance ID as the password and any username when prompted. Server configuration can be provided as User Data in JSON format.

    Support

    Vendor support

    General support is available through issue tracking, while help specific to your deployment is available at an hourly prepaid consulting rate support@moviemasher.com 

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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    Customer reviews

    Ratings and reviews

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    1 AWS reviews
    jack

    Test Movie Masher

    Reviewed on Aug 03, 2016
    Review from a verified AWS customer

    Transcoding audio and video is extremely processor intensive, so while installation might be possible on most machines it isn't reccommended for all environments. In particular, running alongside a web server is only practical for demonstration purposes. Typically in production a pool of machines is deployed with each instance running a single process solely engaged in transcoding.

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