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 42.8K GitHub stars and 7.6K GitHub forks. Here’s a link to Tesseract OCR's open source repository on GitHub
Who uses Tesseract OCR?
14 companies reportedly use Tesseract OCR in their tech stacks, including Shelf, backend, and The Paperless Project.
56 developers on StackShare have stated that they use Tesseract OCR.
Pros of Tesseract OCR
Very lightweight library
Building training set is easy
Decisions about Tesseract OCR
Here are some stack decisions, common use cases and reviews by companies and developers who chose Tesseract OCR in their tech stack.
Can I use both TensorFlow and Tesseract OCR to create a model that detects text out of a document pdf
Tesseract OCR Alternatives & Comparisons
What are some alternatives to Tesseract OCR?
See all alternatives
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
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.
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 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.
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.