API-First Documents-as-a-Database Platform
Put Document Understanding To Work
Redshred treats documents as a database by turning data trapped inside documents into usable, structured information.
Reshape Data into AR/VR
Workflow Integrations
Collaboration & Teams
Leverage Human-like Document Understanding
From Documents to Data
Built from the ground-up to be API-first, Redshred offers your team a powerful solution that goes beyond just text and object recognition.
Power Smarter Applications
Get to Higher Value Work Faster
Data scientists and developers can use unstructured data to build new models and smart applications without the hassle of extracting, cleaning, and aligning content from documents.
Extract Layers of Interconnected Metadata.
Structured & Searchable.
Collaborative & API-First.
RedShred Features: Create Value that Scales
Our API-First Platform makes it easy to integrate
with existing platforms & technologies
Easy Document Upload API
Simply upload your documents into Collections on RedShred
Tailored Configuration
Targeted extraction and enrichment tailored to your document types
Supports Common Formats
Scanned Images, PDFs, Spreadsheets, Plaintext, etc.
Developer Friendly
API endpoints return structured JSON data for easy integration
Escape from Paper
Stop Making Excuses for Legacy Documents
Don't find yourself six months behind on day one
It's easy to underestimate the effort required to liberate data from the tarry manacles of page-based layouts. Don't let hidden work slow your roll.
Get access to important data in seconds
Redshred automates document-centric processes while providing rich structured data.
It's easy to underestimate the effort required to liberate data from the tarry manacles of page-based layouts. Don't let hidden work slow your roll.
Get access to important data in seconds
Redshred automates document-centric processes while providing rich structured data.
How Redshred Works
How Redshred Reshapes Content Into Your Format
Simplify your data journey through a powerful 3-stage process.
1
Extract
Page content is extracted using NLP & Computer Vision
2
Enrich
Metadata is attached to page segments and indexed
3
Reshape
Document data is now searchable and reusable
Collections
Groups of document based on how they'll be processed
Segments
Regions of a page such as tables, images, paragraphs, etc.
Enrichment Data
Metadata that lives on a page segment
Layers
Groups of segments that are related semantically
Technical Manual Shredding
Redshred Does all the Heavy Lifting
so You Don't Have to
System Manuals
Access Alerts, Diagrams, and Tables
Custom Language Models
Structured & Semantic Search
Fault Trees
From Static Documents to Interactive Applications
Link to Historical Maintenance Records
Simplified Navigation
Procedure Steps
Identify Tools, Parts, and Consumables
Flatten Hierarchical Procedures
Easy Checklist Extraction
Link Content
Navigate Through Entities
Attach Custom Metadata
Cross-Reference Pages Across Documents
Get Started Today!
Turn your technical documents into an
easy-to-access & searchable database.
