Amazon Elastic Transcoder vs Google Cloud Vision API
Overview
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Detailed Comparison
Convert or transcode media files from their source format into versions that will playback on devices like smartphones, tablets and PCs. Create a transcoding “job” specifying the location of your source media file and how you want it transcoded. Amazon Elastic Transcoder also provides transcoding presets for popular output formats. All these features are available via service API, AWS SDKs and the AWS Management Console. | Google Cloud Vision API enables developers to understand the content of an image by encapsulating powerful machine learning models in an easy to use REST API. |
Amazon Elastic Transcoder runs your transcoding jobs using the Amazon Elastic Compute Cloud (Amazon EC2). Built to work with content you store in Amazon Simple Storage Service (Amazon S3);Automatically receive status of your transcoding jobs via Amazon Simple Notification Service (Amazon SNS);Query the status of transcoding jobs.;Manage your transcoding jobs by stopping, starting or canceling them.;SDKs available for Java, .NET, Node.js, PHP, Python and Ruby, and the new AWS Command Line Interface;Supports the following output formats- Audio codecs: AAC, MP3 and Vorbis. Video codecs: H.264 and VP8. Container types: MPEG-4, MPEG-2 Transport Stream (TS) and WebM. | Powerful Image Analysis;
Insight From Your Images;
Detect Inappropriate Content;
Image Sentiment Analysis;
Extract Text |
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What are some alternatives to Amazon Elastic Transcoder, Google Cloud Vision API?
Zencoder
Zencoder downloads the video and converts it to as many formats as you need. Every output is encoded concurrently, with virtually no waiting—whether you do one or one hundred. Zencoder then uploads the resulting videos to a server, CDN, an S3 bucket, or wherever you dictate in your API call.
Tesseract OCR
Tesseract was originally developed at Hewlett-Packard Laboratories Bristol and at Hewlett-Packard Co, Greeley Colorado between 1985 and 1994, with some more changes made in 1996 to port to Windows, and some C++izing in 1998. In 2005 Tesseract was open sourced by HP. Since 2006 it is developed by Google.
Kurento
It is a WebRTC media server and a set of client APIs making simple the development of advanced video applications for WWW and smartphone platforms. Media Server features include group communications, transcoding and more.
Amazon Rekognition
Amazon Rekognition is a service that makes it easy to add image analysis to your applications. With Rekognition, you can detect objects, scenes, and faces in images. You can also search and compare faces. Rekognition’s API enables you to quickly add sophisticated deep learning-based visual search and image classification to your applications.
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.
Cloudflare Stream
Cloudflare Stream makes integrating high-quality streaming video into a web or mobile application easy. Using a single, integrated workflow through a robust API or drag and drop UI, application owners can focus on creating the best video experience.
Tesseract.js
This library supports over 60 languages, automatic text orientation and script detection, a simple interface for reading paragraph, word, and character bounding boxes. Tesseract.js can run either in a browser and on a server with NodeJS.
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