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FFMPEG vs imgix: What are the differences?
What is FFMPEG? The universal multimedia toolkit. The universal multimedia toolkit.
What is imgix? Real-time image resizing service and CDN. imgix is a real-time image processing service and CDN. Resize, crop, and edit images simply by changing their URLs.
FFMPEG and imgix belong to "Image Processing and Management" category of the tech stack.
Coursera, Product Hunt, and Zillow are some of the popular companies that use imgix, whereas FFMPEG is used by AmperVue, Mux, and AbemaTV. imgix has a broader approval, being mentioned in 55 company stacks & 6 developers stacks; compared to FFMPEG, which is listed in 19 company stacks and 13 developer stacks.
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Learn MorePros of FFMPEG
Pros of imgix
Pros of FFMPEG
- Open Source5
Pros of imgix
- Image processing on demand28
- Easy setup24
- Smart Cropping18
- Reduce Development Costs18
- Efficient15
- Insanely Fast12
- Filters, resizing, blur and more as url parameters11
- Easy to understand pricing10
- Professional Features and Options9
- Lightyears better than ImageMagick6
- Excellent Face Detection6
- S3 as source5
- Scales to your company's needs4
- Great for Dynamic Compositing4
- Video encoding1
- Fast Image Delivery1
- Free tier1
- Amazing support1
- Great libraries and integrations1
- Automatic scrset generation1
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What is FFMPEG?
The universal multimedia toolkit.
What is imgix?
imgix is the leading platform for end-to-end visual media processing. With robust APIs, SDKs, and integrations, imgix empowers developers to optimize, transform, manage, and deliver images and videos at scale through simple URL parameters.
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What companies use FFMPEG?
What companies use imgix?
What companies use FFMPEG?
What companies use imgix?
See which teams inside your own company are using FFMPEG or imgix.
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What tools integrate with FFMPEG?
What tools integrate with imgix?
What tools integrate with FFMPEG?
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What are some alternatives to FFMPEG and imgix?
GStreamer
It is a library for constructing graphs of media-handling components. The applications it supports range from simple Ogg/Vorbis playback, audio/video streaming to complex audio (mixing) and video (non-linear editing) processing.
OpenCV
OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.
Cloudinary
Cloudinary is a cloud-based service that streamlines websites and mobile applications' entire image and video management needs - uploads, storage, administration, manipulations, and delivery.
Pillow
It adds image processing capabilities to your Python interpreter. It provides extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities.
scikit-image
scikit-image is a collection of algorithms for image processing.