EasyOCR vs Google Cloud Vision API

Overview

Google Cloud Vision API

Stacks139

Followers276

Votes16

EasyOCR

Stacks8

Followers67

Votes0

GitHub Stars28.3K

Forks3.5K

EasyOCR vs Google Cloud Vision API: What are the differences?

Introduction

In this analysis, we will highlight the key differences between EasyOCR and Google Cloud Vision API for text recognition and extraction.

Accuracy: EasyOCR uses pre-trained models focused on the recognition of text in images, providing high accuracy in various languages and fonts. On the other hand, Google Cloud Vision API utilizes Google's machine learning technology for accurate text recognition but may require additional training on specific fonts or languages for optimal results.
Ease of Use: EasyOCR offers a simpler and more user-friendly interface that is easy to integrate into different applications without complex configurations. In contrast, Google Cloud Vision API requires setting up a Google Cloud project, authentication, and API usage, which may be more challenging for beginners.
Language Support: EasyOCR supports a wide range of languages, including Asian languages like Chinese, Japanese, and Korean, making it suitable for diverse text recognition tasks. Google Cloud Vision API also supports numerous languages but may require additional customization for specific language variants or scripts.
On-device Processing: EasyOCR can be deployed on-site or on local servers for text recognition tasks, ensuring data privacy and security. Google Cloud Vision API, on the other hand, relies on cloud-based processing, which may raise concerns about data privacy and latency for some users.
Customization: EasyOCR allows users to fine-tune models, add new fonts, or train on specific datasets for improved text recognition performance in specialized domains. In contrast, Google Cloud Vision API offers limited customization options compared to self-hosted or custom machine learning models.
Cost: EasyOCR is an open-source library that can be used free of charge, making it cost-effective for projects with budget constraints. Google Cloud Vision API, however, follows a pay-as-you-go pricing model based on usage, which may lead to higher costs for large-scale or continuous text recognition tasks.

In Summary, EasyOCR provides high accuracy, ease of use, language support, on-device processing, customization options, and cost-effectiveness compared to Google Cloud Vision API.

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CLI (Node.js)

Manual

Detailed Comparison

Google Cloud Vision API	EasyOCR
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.	It is ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai.
Powerful Image Analysis; Insight From Your Images; Detect Inappropriate Content; Image Sentiment Analysis; Extract Text	Currently supporting 45 languages; Run on command line
Statistics
GitHub Stars -	GitHub Stars 28.3K
GitHub Forks -	GitHub Forks 3.5K
Stacks 139	Stacks 8
Followers 276	Followers 67
Votes 16	Votes 0
Pros & Cons
Pros 9 Image Recognition 7 Built by Google	No community feedback yet
Integrations
No integrations available	Windows

What are some alternatives to Google Cloud Vision API, EasyOCR?

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 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.

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.

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.

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.

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.

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

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

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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EasyOCR vs Google Cloud Vision API: What are the differences?

Introduction

In this analysis, we will highlight the key differences between EasyOCR and Google Cloud Vision API for text recognition and extraction.

Accuracy: EasyOCR uses pre-trained models focused on the recognition of text in images, providing high accuracy in various languages and fonts. On the other hand, Google Cloud Vision API utilizes Google's machine learning technology for accurate text recognition but may require additional training on specific fonts or languages for optimal results.
Ease of Use: EasyOCR offers a simpler and more user-friendly interface that is easy to integrate into different applications without complex configurations. In contrast, Google Cloud Vision API requires setting up a Google Cloud project, authentication, and API usage, which may be more challenging for beginners.
Language Support: EasyOCR supports a wide range of languages, including Asian languages like Chinese, Japanese, and Korean, making it suitable for diverse text recognition tasks. Google Cloud Vision API also supports numerous languages but may require additional customization for specific language variants or scripts.
On-device Processing: EasyOCR can be deployed on-site or on local servers for text recognition tasks, ensuring data privacy and security. Google Cloud Vision API, on the other hand, relies on cloud-based processing, which may raise concerns about data privacy and latency for some users.
Customization: EasyOCR allows users to fine-tune models, add new fonts, or train on specific datasets for improved text recognition performance in specialized domains. In contrast, Google Cloud Vision API offers limited customization options compared to self-hosted or custom machine learning models.
Cost: EasyOCR is an open-source library that can be used free of charge, making it cost-effective for projects with budget constraints. Google Cloud Vision API, however, follows a pay-as-you-go pricing model based on usage, which may lead to higher costs for large-scale or continuous text recognition tasks.

In Summary, EasyOCR provides high accuracy, ease of use, language support, on-device processing, customization options, and cost-effectiveness compared to Google Cloud Vision API.