Overview
The AMI comes preconfigured with ffmpeg and all of its dependencies to carry out a variety of image and video conversion pipelines. This is ideal for preparation of images and videos for machine learning applications or to processes data for media production companies.
Highlights
- Tested for a variety of tasks for image preparation for machine learning: resizing, format conversion, cropping, etc.
- Used for media transcoding by post-production companies to quickly process large amounts of videos of all formats.
- Built on top of secure Linux distributions and hardened to keep your data secure.
Details
Unlock automation with AI agent solutions

Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Cost/hour |
---|---|
c4.large Recommended | $0.17 |
t3.micro AWS Free Tier | $0.17 |
c4.4xlarge | $0.17 |
c6a.large | $0.17 |
c6a.8xlarge | $0.17 |
t3a.small | $0.17 |
t3a.micro | $0.17 |
c4.2xlarge | $0.17 |
t3.small | $0.17 |
c4.8xlarge | $0.17 |
Vendor refund policy
We're confident you'll love our software. If you're not completely satisfied, simply request a refund within 30 days of your purchase.
To be eligible for a refund, you must:
- Have used our software according to our recommendations
- Have used our software for the scope it was built for
- Request the refund within 30 days of the original purchase date.
- Provide a reason for the refund.
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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
First release on marketplace
Additional details
Usage instructions
The ffmpeg command is already available in the path for the default user "ec2-user"
Resources
Vendor resources
Support
Vendor support
email: developers@quasiscience.com contact form:
AWS infrastructure support
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Customer reviews
Media Conversion for Website
We have successfully used this product to convert hundreds of assets for our online retail and experience eCommerce platform in less than 1 hr including the time to set everything up. Once we mapped the instance to our S3 using FSX, all we needed to do was to run a simple command and relax.