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  1. Stackups
  2. Application & Data
  3. Media Processing
  4. Media Transcoding
  5. Amazon Elastic Transcoder vs Tesseract OCR

Amazon Elastic Transcoder vs Tesseract OCR

OverviewDecisionsComparisonAlternatives

Overview

Amazon Elastic Transcoder
Amazon Elastic Transcoder
Stacks89
Followers114
Votes0
Tesseract OCR
Tesseract OCR
Stacks96
Followers286
Votes7
GitHub Stars70.7K
Forks10.4K

Amazon Elastic Transcoder vs Tesseract OCR: What are the differences?

What is Amazon Elastic Transcoder? Media transcoding in the cloud using Amazon EC2. 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.

What is Tesseract OCR? Tesseract Open Source OCR Engine. 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.

Amazon Elastic Transcoder belongs to "Media Transcoding" category of the tech stack, while Tesseract OCR can be primarily classified under "Image Analysis API".

Tesseract OCR is an open source tool with 27.8K GitHub stars and 5.31K GitHub forks. Here's a link to Tesseract OCR's open source repository on GitHub.

Crowdsourced Testing, N49, and MyBhutan are some of the popular companies that use Amazon Elastic Transcoder, whereas Tesseract OCR is used by Shelf, ESCHR, and DLabs. Amazon Elastic Transcoder has a broader approval, being mentioned in 28 company stacks & 5 developers stacks; compared to Tesseract OCR, which is listed in 6 company stacks and 6 developer stacks.

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Advice on Amazon Elastic Transcoder, Tesseract OCR

Vladyslav
Vladyslav

Sr. Directory of Technology at Shelf

Oct 25, 2019

Decided

AWS Rekognition has an OCR feature but can recognize only up to 50 words per image, which is a deal-breaker for us. (see my tweet).

Also, we discovered fantastic speed and quality improvements in the 4.x versions of Tesseract. Meanwhile, the quality of AWS Rekognition's OCR remains to be mediocre in comparison.

We run Tesseract serverlessly in AWS Lambda via aws-lambda-tesseract library that we made open-source.

53.3k views53.3k
Comments

Detailed Comparison

Amazon Elastic Transcoder
Amazon Elastic Transcoder
Tesseract OCR
Tesseract OCR

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.

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.

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.
-
Statistics
GitHub Stars
-
GitHub Stars
70.7K
GitHub Forks
-
GitHub Forks
10.4K
Stacks
89
Stacks
96
Followers
114
Followers
286
Votes
0
Votes
7
Pros & Cons
No community feedback yet
Pros
  • 5
    Building training set is easy
  • 2
    Very lightweight library
Cons
  • 1
    Works best with white background and black text

What are some alternatives to Amazon Elastic Transcoder, Tesseract OCR?

Google Cloud Vision API

Google Cloud Vision API

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.

Zencoder

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.

Kurento

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

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

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

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

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.

Bacon AI

Bacon AI

Create studio-quality images, videos, and UGC - in minutes

Vmake

Vmake

Is a video editor designed for talking head videos, making it easier to generate creative video editing ideas.

SAM 3D

SAM 3D

Meta's SAM 3D brings human-level 3D perception to computer vision. Reconstruct objects and bodies from single images with unprecedented accuracy and speed.

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