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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Euresys EasyOCR is a component of the Open eVision software suite that specializes in optical character recognition, focusing on template-based recognition of printed text, which is particularly effective for reading short sequences like part numbers, serial numbers, expiration dates, manufacturing timestamps, and lot identifiers from images or physical components in machine vision contexts. This tool employs a font-dependent template matching technique that can be customized with user-defined character samples, alongside a library of pre-existing fonts, ensuring accurate reading even when the text is distorted, overlapping, or varies in size. The software excels in separating closely positioned text elements even in challenging environments, demonstrating its robustness and efficiency. Additionally, it is designed to be size-invariant and swift, allowing users to train the system with sample images to enhance its character database, ultimately boosting recognition accuracy for specific industrial text formats. EasyOCR is often integrated into vision inspection setups through the Open eVision API, facilitating seamless implementation in various applications. Its versatility and adaptability make it a valuable asset for industries relying on precise text recognition.

Description

Effortless receipt transcription that truly delivers. Receipt OCR technology is designed to analyze images of receipts and convert them into organized and comprehensible data that can be utilized by other applications. This data typically encompasses elements such as the total sum, tax details, date of purchase, and the merchant's name. The RESTful API provided by TAGGUN is developer-friendly and supports various formats including JPG, PDF, PNG, GIF, and file URLs. It recognizes the language printed on the receipt and transforms the image into straightforward raw text. Leveraging top-tier OCR engines, the system employs machine learning algorithms to identify essential keywords found on the receipt. The TAGGUN engine effectively extracts vital information from the raw text, while also calculating the confidence level for each field to ensure precision. Results are returned in a detailed JSON format, making it easy for your application to utilize the information seamlessly, thereby enhancing the user experience. Moreover, this innovative approach streamlines the entire process of receipt management and makes data handling more efficient.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

.NET
C++
Python

Integrations

.NET
C++
Python

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

EURESYS

Founded

1989

Country

Belgium

Website

www.euresys.com/en/products/software/easyocr/

Vendor Details

Company Name

Taggun

Founded

2017

Country

New Zealand

Website

www.taggun.io

Product Features

OCR

Batch Processing
Convert to PDF
ID Scanning
Image Pre-processing
Indexing
Metadata Extraction
Multi-Language
Multiple Output Formats
Text Editor
Zone Selection Tool

Product Features

Expense Report

Approval Process Control
Invoice Management
Multi-Currency
Receipt Management
Reimbursement Management
Spend Control
Time Tracking
Workflow Management

OCR

Batch Processing
Convert to PDF
ID Scanning
Image Pre-processing
Indexing
Metadata Extraction
Multi-Language
Multiple Output Formats
Text Editor
Zone Selection Tool

Alternatives

Alternatives

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