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  1. Stackups
  2. AI
  3. Image & Video Models
  4. Image Analysis API
  5. EasyOCR vs Tesseract.js

EasyOCR vs Tesseract.js

OverviewComparisonAlternatives

Overview

Tesseract.js
Tesseract.js
Stacks41
Followers105
Votes2
GitHub Stars37.4K
Forks2.3K
EasyOCR
EasyOCR
Stacks8
Followers67
Votes0
GitHub Stars28.3K
Forks3.5K

EasyOCR vs Tesseract.js: What are the differences?

Introduction:

EasyOCR and Tesseract.js are two popular optical character recognition (OCR) tools used for extracting text from images and documents. Although they share the same purpose, there are some key differences between them that set them apart in terms of functionality and performance.

  1. Supported Languages: EasyOCR offers support for a wide range of languages, including English, Spanish, French, German, Chinese, Japanese, and many more. On the other hand, Tesseract.js primarily focuses on English and provides limited support for other languages. This makes EasyOCR a more versatile tool for multilingual applications or documents.

  2. Installation and Usage: EasyOCR is a Python library that requires installation and setup on a local machine. It provides an easy-to-use API for integrating OCR capabilities into applications. Tesseract.js, on the other hand, is a JavaScript library that can be used directly in web browsers without any installation or setup. It provides a convenient way of performing OCR tasks using front-end technologies.

  3. Accuracy and Performance: EasyOCR utilizes pre-trained deep learning models, such as ResNet and Transformer, to achieve high accuracy in text recognition. It can accurately recognize text in various fonts, sizes, and orientations. Tesseract.js, although powerful, relies on trained models that may not be as accurate as EasyOCR in some cases. EasyOCR's advanced models and techniques give it an edge when it comes to accuracy.

  4. Speed and Scalability: EasyOCR is designed to process images and documents efficiently, making it suitable for bulk processing and high-speed OCR tasks. It can process multiple pages of documents or a large number of images quickly. Tesseract.js, being a client-side solution, may not be as fast or scalable as EasyOCR when it comes to handling large volumes of data or complex OCR requirements.

  5. Additional Features: EasyOCR offers additional features like detection of region of interest (ROI), layout analysis, and confident predictions. These features enhance the overall OCR experience and improve the results. Tesseract.js, while being a robust OCR tool, does not provide these additional features out of the box.

  6. Community and Support: EasyOCR has a growing community of developers who actively contribute to its development and support. This helps in obtaining timely updates, bug fixes, and feature enhancements. Tesseract.js also has a community, but it may not have the same level of active contributors compared to EasyOCR.

In Summary, EasyOCR offers comprehensive language support, accuracy, speed, additional features, and a strong community, making it a preferred choice for multilingual OCR tasks and demanding applications. Tesseract.js, on the other hand, is a lightweight, easy-to-use OCR solution suitable for basic English OCR needs in web-based projects.

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Detailed Comparison

Tesseract.js
Tesseract.js
EasyOCR
EasyOCR

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.

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

-
Currently supporting 45 languages; Run on command line
Statistics
GitHub Stars
37.4K
GitHub Stars
28.3K
GitHub Forks
2.3K
GitHub Forks
3.5K
Stacks
41
Stacks
8
Followers
105
Followers
67
Votes
2
Votes
0
Pros & Cons
Pros
  • 2
    Graph Recognization
No community feedback yet
Integrations
No integrations available
Windows
Windows

What are some alternatives to Tesseract.js, EasyOCR?

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.

Tesseract OCR

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.

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.

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.

Image to Prompt AI

Image to Prompt AI

Free AI-powered image to prompt generator. Upload images and get detailed prompts for AI art generation with our advanced converter.

Free Online Background Remover

Free Online Background Remover

BGRemoverFree is a smart AI tool designed to turn any image into a clean, professional visual within seconds. With a single upload, it automatically removes distracting backgrounds and highlights the main subject with perfect clarity. Whether you're preparing product photos, designing social media content, or creating marketing materials, BGRemoverFree gives you studio-quality cutouts without any editing skills. Fast, accurate, and fully web-based — it’s the easiest way to create polished, ready-to-use images for any purpose.

Free AI Image Detector

Free AI Image Detector

Is this image AI-generated? Free AI detector with 99.7% accuracy detects fake photos, deepfakes, and AI images from DALL-E, Midjourney, Stable Diffusion. No signup required.

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.

OpenJPEG

OpenJPEG

It is an open-source JPEG 2000 codec written in C language.

ZXing

ZXing

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

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