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Tesseract OCR

Tesseract Open Source OCR Engine
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What is 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.
Tesseract OCR is a tool in the Image Analysis API category of a tech stack.
Tesseract OCR is an open source tool with 31.5K GitHub stars and 6K GitHub forks. Here鈥檚 a link to Tesseract OCR's open source repository on GitHub

Who uses Tesseract OCR?

9 companies reportedly use Tesseract OCR in their tech stacks, including Shelf, Irene, and ESCHR.

14 developers on StackShare have stated that they use Tesseract OCR.

Why developers like Tesseract OCR?

Here鈥檚 a list of reasons why companies and developers use Tesseract OCR
Top Reasons
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Tesseract OCR Reviews

Here are some stack decisions, common use cases and reviews by companies and developers who chose Tesseract OCR in their tech stack.

Daniel Quinn
Daniel Quinn
Senior Developer at Workfinder | 7 upvotes 5.2K views
atThe Paperless ProjectThe Paperless Project
Tesseract OCR
Tesseract OCR

I use Python because it's a beautiful (both visually and in terms of function) and multi-purpose language. In Paperless, Python is the primary connecting tissue holding all of the parts together: it's the basis of the consumption engine (communicating with Tesseract OCR via pyOCR) and the user-interface (based on Django).

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Daniel Quinn
Daniel Quinn
Senior Developer at Workfinder | 5 upvotes 3.2K views
atThe Paperless ProjectThe Paperless Project
Tesseract OCR
Tesseract OCR

I needed a tool that could convert a rasterised image into text. There are a few out there, but I don't think there's any that match Tesseract OCR for cross-language capability, community support and freedom (it's Free as in freedom and beer).

The setup isn't super-obvious, but once you've got it figured out, all of that can be automated. On top of that, there's lots of programming language-specific libraries out there that'll help plug your stuff into it.

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Tesseract OCR Alternatives & Comparisons

What are some alternatives to Tesseract OCR?
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.
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鈥檚 API enables you to quickly add sophisticated deep learning-based visual search and image classification to your applications.
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.
scanR is a simple OCR API service that supports 32 languages and can extract text from images or PDF files.

Tesseract OCR's Followers
29 developers follow Tesseract OCR to keep up with related blogs and decisions.
Evan Wright
J贸natan Einarsson
Nurullah 脰zdemir
John Alton
Asif Istiaque
Greg Gaba
Taylor Host