Sold by: UnstructuredÂ
Deployed on AWS
AWS Free Tier
Unstructured extracts and transforms data for use with every major vector database and LLM framework
Overview
Ingest and preprocess complex natural language data from any document, file type, or layout with Unstructured.
Under the hood, the Unstructured engine involves breaking a document into its constituent parts and identifying the document's structure, such as its header, tables, and body text. Unstructured provides diverse preprocessing strategies for documents each catering to different document types and requirements. Utilizing the optimal strategy enhances document element classification accuracy and extraction efficiency, which is crucial for image-based files and layout-intensive documents.
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Highlights
- Transforms all your data for downstream analytics. Next-generation vision transformer for images, PDF, and table extraction
- Enhanced models for table extraction, document hierarchy, and element classification. Chunks your data for LLM applications
- Compatible with any embedding model, vector database, and LLM framework. API client libraries in multiple client languages (e.g. Python, Javascript)
Details
Sold by
Delivery method
Delivery option
UnstructuredAPI
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
OtherLinux 9
Deployed on AWS
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Features and programs
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
m4.xlarge Recommended | $4.40 |
t2.micro AWS Free Tier | $1.10 |
t3.micro AWS Free Tier | $2.20 |
m4.4xlarge | $17.60 |
r5.24xlarge | $105.60 |
r5.large | $2.20 |
r5.8xlarge | $35.20 |
m5n.16xlarge | $70.40 |
r3.xlarge | $4.40 |
i3.2xlarge | $8.80 |
Vendor refund policy
We do not currently support refunds, but you can cancel at any time.
Legal
Vendor terms and conditions
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Content disclaimer
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
1.0.72
- update contextual chunking chunk window size to be 100k from 15k
Additional details
Usage instructions
"To connect to the operating system, use SSH and the username rocky. You will need the same SSH Key Pair supplied during stack launch. For more details see the Unstructed API deployment guide here: https://docs.unstructured.io/api-reference/api-services/aws "
Resources
Vendor resources
Support
Vendor support
Please allow 24 hours. Join us in our Slack workspace for support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Unstructured
By SS&C Blue Prism
Top
10
In Software Development, Data Analysis
Top
10
In Text/OCR
Top
10
In Handwriting Recognition
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Document Parsing
"Advanced document parsing engine that breaks documents into constituent parts and identifies structural elements like headers, tables, and body text"
Preprocessing Strategy
"Diverse preprocessing strategies optimized for different document types and layout-intensive files"
Multi-Format Extraction
"Supports data extraction from complex natural language documents across multiple file types and layouts"
Vision Transformer Technology
"Next-generation vision transformer for processing images, PDFs, and extracting table data"
Multilingual API Integration
"Provides API client libraries compatible with multiple programming languages and supports integration with embedding models and vector databases"
Machine Learning Extraction
Advanced machine learning-based document processing with 99% accuracy for extracting data from diverse document types
AI Infrastructure
Proprietary model-based architecture capable of reading and understanding multiple content formats with 98.5% automation rates
Enterprise Data Processing
Capability to transform non-machine readable data formats into structured, machine-readable information across organizational workflows
Content Understanding
Advanced AI system that can process complex documents including handwritten forms, PDFs, and low-resolution images
Generative AI Enablement
Platform designed to support generative AI applications by providing automatically labeled enterprise data for model training
Optical Character Recognition
Advanced machine learning engine capable of extracting printed and handwritten text with 98% accuracy
Document Classification
Image recognition algorithms for identifying and sorting structured forms from various input sources
Form Template Processing
Automated template-based document field extraction without requiring coding or machine learning training
Data Transformation
Capability to apply data transformations for consistent output preparation and RPA integration
Multi-Format Recognition
Advanced detection of complex document elements including signatures, QR codes, barcodes, and checkboxes
Standard contract
No
No
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