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Panda

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Followers16

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Tesseract.js

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Followers73

+ 1

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Panda vs Tesseract.js: What are the differences?

Developers describe Panda as "Dedicated video encoding in the cloud". Panda is a cloud-based platform that provides video and audio encoding infrastructure. It features lightning fast encoding, and broad support for a huge number of video and audio codecs. You can upload to Panda either from your own web application using our REST API, or by utilizing our easy to use web interface.
. On the other hand, Tesseract.js is detailed as "Pure JavaScript OCR for 60 Languages". 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.

Panda belongs to "Media Transcoding" category of the tech stack, while Tesseract.js can be primarily classified under "Image Analysis API".

Tesseract.js is an open source tool with 17K GitHub stars and 1.15K GitHub forks. Here's a link to Tesseract.js's open source repository on GitHub.

Pros of Panda

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Graph Recognization

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- No public GitHub repository available -

What is Panda?

Panda is a cloud-based platform that provides video and audio encoding infrastructure. It features lightning fast encoding, and broad support for a huge number of video and audio codecs. You can upload to Panda either from your own web application using our REST API, or by utilizing our easy to use web interface.<br>

What is 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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What companies use Panda?

What companies use Tesseract.js?

Foretag

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What tools integrate with Panda?

What tools integrate with Tesseract.js?

Heroku

No integrations found

What are some alternatives to Panda and Tesseract.js?

Pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.

NumPy

Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

Grizzly

Writing scalable server applications in the Java™ programming language has always been difficult. Before its advent, thread management issues made it impossible for a server to scale to thousands of users. This framework has been designed to help developers to take advantage of the Java™ NIO API.

Amazon Elastic Transcoder

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.

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.

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How much does Panda cost?

How much does Tesseract.js cost?

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News about Panda

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News about Tesseract.js

Tesseract.js: How To OCR Remote Images from a URL in Node

(twilioinc.wpengine.com)

Nov 1, 2016

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