EasyOCR vs Tesseract OCR

Overview

Tesseract OCR

Stacks96

Followers286

Votes7

GitHub Stars70.7K

Forks10.4K

EasyOCR

Stacks8

Followers67

Votes0

GitHub Stars28.3K

Forks3.5K

EasyOCR vs Tesseract OCR: What are the differences?

Both EasyOCR and Tesseract OCR are popular optical character recognition (OCR) tools that enable the extraction and recognition of text from images or scanned documents. Let's explore the key differences between them.

Ease of Use: EasyOCR focuses on simplicity and ease of use, providing an intuitive user interface and straightforward integration with various programming languages. On the other hand, Tesseract OCR is more complex and requires a higher level of technical expertise for proper implementation and customization.
Recognition Accuracy: While both OCR tools offer decent recognition accuracy, Tesseract OCR, being an open-source OCR engine, has undergone extensive community-driven development and improvements, which has resulted in higher accuracy rates compared to EasyOCR.
Language Support: EasyOCR supports a wide range of languages, including commonly used languages such as English, Spanish, Chinese, and French, as well as several less common languages. Tesseract OCR, on the other hand, boasts impressive language support with over 100 languages, including various scripts and non-Latin characters.
Training and Customization: Tesseract OCR provides robust options for training and customization. It allows users to fine-tune the OCR engine according to their specific requirements, making it a preferred choice for projects that demand extensive customization. EasyOCR, although not as flexible in terms of customization, offers a simple and out-of-the-box solution for most OCR needs.
Optical Character Recognition Techniques: EasyOCR utilizes a combination of Convolutional Neural Networks (CNNs) and Long Short Term Memory (LSTM) models to recognize and extract text from images. In contrast, Tesseract OCR predominantly relies on a traditional OCR approach based on statistical and rule-based algorithms, although it has started integrating neural network-based models in recent versions.
Community Support and Documentation: Tesseract OCR has a vast and active user community, which provides extensive support, resources, and documentation. This ensures that users can find assistance and solutions to common issues easily. EasyOCR, while gaining popularity, may have a relatively smaller community and fewer available resources in comparison.

In summary, EasyOCR offers ease of use and good language support, while Tesseract OCR provides higher recognition accuracy, customization options, and a strong community support system.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs

CLI (Node.js)

Manual

Advice on Tesseract OCR, EasyOCR

Vladyslav

Sr. Directory of Technology at Shelf

Oct 25, 2019

Decided

AWS Rekognition has an OCR feature but can recognize only up to 50 words per image, which is a deal-breaker for us. (see my tweet).

Also, we discovered fantastic speed and quality improvements in the 4.x versions of Tesseract. Meanwhile, the quality of AWS Rekognition's OCR remains to be mediocre in comparison.

We run Tesseract serverlessly in AWS Lambda via aws-lambda-tesseract library that we made open-source.

53.4k views53.4k

Comments

Detailed Comparison

Tesseract OCR	EasyOCR
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.	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 70.7K	GitHub Stars 28.3K
GitHub Forks 10.4K	GitHub Forks 3.5K
Stacks 96	Stacks 8
Followers 286	Followers 67
Votes 7	Votes 0
Pros & Cons
Pros 5 Building training set is easy 2 Very lightweight library Cons 1 Works best with white background and black text	No community feedback yet
Integrations
No integrations available	Windows

What are some alternatives to Tesseract OCR, EasyOCR?

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’s API enables you to quickly add sophisticated deep learning-based visual search and image classification to your applications.

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.

Editaimg: Edit and enhance photos with AI Image Editor

Editaimg helps you edit images with AI: remove backgrounds, edit text on images, upscale resolution, retouch faces, and export in popular formats.

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.

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.

image describer

Turn any photo into descriptive text with AI. Upload a picture to get detailed descriptions, find objects, or ask specific questions about what's inside.

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.

AI Food Photography: Studio Quality in 30 Seconds

AI food photography turns any photo into professional menu images in 30 seconds. Trusted by 1,500+ restaurants. 95% cheaper than photographers. Try free →

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.

Related Comparisons

EasyOCR vs Tesseract OCR: What are the differences?

Ease of Use: EasyOCR focuses on simplicity and ease of use, providing an intuitive user interface and straightforward integration with various programming languages. On the other hand, Tesseract OCR is more complex and requires a higher level of technical expertise for proper implementation and customization.
Recognition Accuracy: While both OCR tools offer decent recognition accuracy, Tesseract OCR, being an open-source OCR engine, has undergone extensive community-driven development and improvements, which has resulted in higher accuracy rates compared to EasyOCR.
Language Support: EasyOCR supports a wide range of languages, including commonly used languages such as English, Spanish, Chinese, and French, as well as several less common languages. Tesseract OCR, on the other hand, boasts impressive language support with over 100 languages, including various scripts and non-Latin characters.
Training and Customization: Tesseract OCR provides robust options for training and customization. It allows users to fine-tune the OCR engine according to their specific requirements, making it a preferred choice for projects that demand extensive customization. EasyOCR, although not as flexible in terms of customization, offers a simple and out-of-the-box solution for most OCR needs.
Optical Character Recognition Techniques: EasyOCR utilizes a combination of Convolutional Neural Networks (CNNs) and Long Short Term Memory (LSTM) models to recognize and extract text from images. In contrast, Tesseract OCR predominantly relies on a traditional OCR approach based on statistical and rule-based algorithms, although it has started integrating neural network-based models in recent versions.
Community Support and Documentation: Tesseract OCR has a vast and active user community, which provides extensive support, resources, and documentation. This ensures that users can find assistance and solutions to common issues easily. EasyOCR, while gaining popularity, may have a relatively smaller community and fewer available resources in comparison.

In summary, EasyOCR offers ease of use and good language support, while Tesseract OCR provides higher recognition accuracy, customization options, and a strong community support system.

EasyOCR vs Tesseract OCR

Overview