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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Numerous customers of Amazon Web Services (AWS) seek a data storage and analytics solution that surpasses the agility and flexibility of conventional data management systems. A data lake has emerged as an innovative and increasingly favored method for storing and analyzing data, as it enables organizations to handle various data types from diverse sources, all within a unified repository that accommodates both structured and unstructured data. The AWS Cloud supplies essential components necessary for customers to create a secure, adaptable, and economical data lake. These components comprise AWS managed services designed to assist in the ingestion, storage, discovery, processing, and analysis of both structured and unstructured data. To aid our customers in constructing their data lakes, AWS provides a comprehensive data lake solution, which serves as an automated reference implementation that establishes a highly available and cost-efficient data lake architecture on the AWS Cloud, complete with an intuitive console for searching and requesting datasets. Furthermore, this solution not only enhances data accessibility but also streamlines the overall data management process for organizations.

Description

Reducto serves as an API designed for document ingestion, allowing businesses to transform intricate, unstructured files like PDFs, images, and spreadsheets into organized, structured formats that are primed for integration with large language model workflows and production pipelines. Its advanced parsing engine interprets documents similarly to a human reader, accurately capturing layout, structure, tables, figures, and text regions; an innovative "Agentic OCR" layer then scrutinizes and rectifies outputs in real-time, ensuring dependable results even in complex scenarios. The platform also facilitates the automatic division of multi-document files or extensive forms into smaller, more manageable units, employing layout-aware heuristics to enhance workflows without the need for manual preprocessing. After segmentation, Reducto enables schema-level extraction of structured data, such as invoice details, onboarding documents, or financial disclosures, ensuring that pertinent information is efficiently placed exactly where it is required. The technology begins by utilizing layout-aware vision models to deconstruct the visual framework of the documents, thereby improving the overall accuracy and effectiveness of the data extraction process. Ultimately, Reducto stands out as a powerful tool that significantly enhances document handling efficiency for organizations of all sizes.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Google Sheets
HTML
Microsoft Excel
Microsoft PowerPoint
Microsoft Word
Rocket Data Replicate & Sync
Slack
VE3 DataWise

Integrations

Google Sheets
HTML
Microsoft Excel
Microsoft PowerPoint
Microsoft Word
Rocket Data Replicate & Sync
Slack
VE3 DataWise

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$0.015 per credit
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/solutions/implementations/data-lake-solution/

Vendor Details

Company Name

Reducto

Country

United States

Website

reducto.ai/

Product Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

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