Alternatives to Tesseract OCR logo

Alternatives to Tesseract OCR

TensorFlow, OpenCV, Google Cloud Vision API, Amazon Rekognition, and Tesseract.js are the most popular alternatives and competitors to Tesseract OCR.
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What is Tesseract OCR and what are its top alternatives?

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 48.6K GitHub stars and 8.3K GitHub forks. Here’s a link to Tesseract OCR's open source repository on GitHub

Top Alternatives to Tesseract OCR

  • TensorFlow
    TensorFlow

    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
    OpenCV

    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

    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

    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. ...

  • 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. ...

  • libpng
    libpng

    It is the official Portable Network Graphics (PNG) reference library. It is a platform-independent library that contains C functions for handling PNG images. It supports almost all of PNG's features, is extensible, and has been widely used and tested. ...

  • ZXing
    ZXing

    It is a barcode scanning library for Java, Android. Decode a 1D or 2D barcode from an image on the web. ...

  • EasyOCR
    EasyOCR

    It is ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai. ...

Tesseract OCR alternatives & related posts

TensorFlow logo

TensorFlow

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Open Source Software Library for Machine Intelligence
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PROS OF TENSORFLOW
  • 30
    High Performance
  • 18
    Connect Research and Production
  • 15
    Deep Flexibility
  • 12
    Auto-Differentiation
  • 11
    True Portability
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    Powerful
  • 5
    High level abstraction
  • 5
    Easy to use
  • 1
    Is orange
CONS OF TENSORFLOW
  • 9
    Hard
  • 6
    Hard to debug
  • 1
    Documentation not very helpful

related TensorFlow posts

Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber · | 8 upvotes · 1.5M views

Why we built an open source, distributed training framework for TensorFlow , Keras , and PyTorch:

At Uber, we apply deep learning across our business; from self-driving research to trip forecasting and fraud prevention, deep learning enables our engineers and data scientists to create better experiences for our users.

TensorFlow has become a preferred deep learning library at Uber for a variety of reasons. To start, the framework is one of the most widely used open source frameworks for deep learning, which makes it easy to onboard new users. It also combines high performance with an ability to tinker with low-level model details—for instance, we can use both high-level APIs, such as Keras, and implement our own custom operators using NVIDIA’s CUDA toolkit.

Uber has introduced Michelangelo (https://eng.uber.com/michelangelo/), an internal ML-as-a-service platform that democratizes machine learning and makes it easy to build and deploy these systems at scale. In this article, we pull back the curtain on Horovod, an open source component of Michelangelo’s deep learning toolkit which makes it easier to start—and speed up—distributed deep learning projects with TensorFlow:

https://eng.uber.com/horovod/

(Direct GitHub repo: https://github.com/uber/horovod)

See more

In mid-2015, Uber began exploring ways to scale ML across the organization, avoiding ML anti-patterns while standardizing workflows and tools. This effort led to Michelangelo.

Michelangelo consists of a mix of open source systems and components built in-house. The primary open sourced components used are HDFS, Spark, Samza, Cassandra, MLLib, XGBoost, and TensorFlow.

!

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OpenCV logo

OpenCV

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Open Source Computer Vision Library
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PROS OF OPENCV
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    Computer Vision
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    Open Source
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    Imaging
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    Face Detection
  • 9
    Machine Learning
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    Great community
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    Realtime Image Processing
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    Image Augmentation
  • 2
    Helping almost CV problem
CONS OF OPENCV
    Be the first to leave a con

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    Shared insights
    on
    FFMPEGFFMPEGOpenCVOpenCV

    Hi Team,

    Could you please suggest which one need to be used in between OpenCV and FFMPEG.

    Thank you in Advance.

    See more
    Google Cloud Vision API logo

    Google Cloud Vision API

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    Understand the content of an image by encapsulating powerful machine learning models
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    PROS OF GOOGLE CLOUD VISION API
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      Image Recognition
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      Built by Google
    CONS OF GOOGLE CLOUD VISION API
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      Amazon Rekognition logo

      Amazon Rekognition

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      Image Detection and Recognition Powered by Deep Learning
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      PROS OF AMAZON REKOGNITION
      • 4
        Integrate easily with AWS
      CONS OF AMAZON REKOGNITION
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        Tesseract.js logo

        Tesseract.js

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        Pure JavaScript OCR for 60 Languages
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        PROS OF TESSERACT.JS
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          Graph Recognization
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          libpng logo

          libpng

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          The official PNG reference library
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              ZXing logo

              ZXing

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              Decode a 1D or 2D barcode from an image on the web
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              PROS OF ZXING
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                CONS OF ZXING
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                  EasyOCR logo

                  EasyOCR

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                  Ready-to-use OCR with 40 languages
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                  PROS OF EASYOCR
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                    CONS OF EASYOCR
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