Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Amazon Textract is a sophisticated, fully managed machine learning service that goes beyond basic optical character recognition (OCR) to automatically extract text and data from scanned documents, including forms and tables. In today's fast-paced business environment, many organizations rely on either time-consuming manual data entry, which is both costly and error-prone, or on basic OCR software that requires frequent manual adjustments whenever forms are updated. To eliminate these cumbersome processes, Textract leverages advanced machine learning techniques to swiftly read and analyze various document types, delivering precise extraction of text, forms, tables, and additional data without necessitating any manual input or custom programming. By using Textract, businesses can streamline and automate their document processing tasks, allowing them to handle millions of pages in just a matter of hours, significantly enhancing operational efficiency. This shift not only saves time but also reduces the likelihood of human error, paving the way for more accurate and reliable data handling.
Description
ScanTextAI is a web-based tool designed to transform images, photographs, screenshots, and scanned documents into editable text, enabling users to accurately retrieve text from images and save the results in PDF or Word formats. By employing sophisticated Optical Character Recognition (OCR) technology, it quickly processes a variety of image files, such as JPG, PNG, BMP, GIF, TIFF, and WEBP, while supporting a wide range of over 50 languages to guarantee precision and effectiveness. The platform prioritizes user privacy and security, ensuring that any uploaded files are kept on the user's device, with no external access, thereby protecting the user's copyright and ownership rights. ScanTextAI is straightforward and does not require any registration, allowing users to take advantage of its complimentary services for tasks like digitizing handwritten notes, converting printed texts into e-books, and extracting text from screenshots, which makes editing and information retrieval simple and efficient. Additionally, its intuitive interface makes it accessible to users of all skill levels, further enhancing the overall experience.
API Access
Has API
API Access
Has API
Integrations
AWS AI Services
AWS App Mesh
Amazon Augmented AI (A2I)
Amazon Quick Suite
Bika.ai
Camunda
Datasaur
FormKiQ
Kognitos
Mantium
Integrations
AWS AI Services
AWS App Mesh
Amazon Augmented AI (A2I)
Amazon Quick Suite
Bika.ai
Camunda
Datasaur
FormKiQ
Kognitos
Mantium
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
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
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/textract/
Vendor Details
Company Name
ScanTextAI
Website
scantextai.com
Product Features
Data Extraction
Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction
Natural Language Processing
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization
OCR
Batch Processing
Convert to PDF
ID Scanning
Image Pre-processing
Indexing
Metadata Extraction
Multi-Language
Multiple Output Formats
Text Editor
Zone Selection Tool
Text Mining
Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering