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What is Unstructured?

Around 80% of corporate information is kept in complex formats like HTML, PDF, CSV, PNG, and PPTX, among others. Unstructured offers a solution to streamline the extraction and transformation of this intricate data, ensuring compatibility with all major vector databases and LLM frameworks. This platform allows data scientists to preprocess large volumes of data efficiently, freeing them to focus more on modeling and analysis rather than on the tedious tasks of data gathering and cleaning. Our enterprise-grade connectors facilitate the collection of data from diverse sources and convert it into AI-friendly JSON files, simplifying the integration of AI technologies within organizations. Trust Unstructured to deliver meticulously cleaned data, devoid of any artifacts, and importantly, optimized for LLMs. By doing so, we enable businesses to fully leverage their data for groundbreaking applications. Consequently, organizations can innovate more rapidly and effectively by utilizing the insights derived from their high-quality data.

What is Monkt?

Monkt is a cutting-edge application that revolutionizes document transformation by enabling users to instantly convert a variety of file formats, including PDF, Word, PowerPoint, Excel, CSV, and web pages, into efficient Markdown or structured JSON formats tailored for AI and Large Language Model (LLM) use. This adaptable tool excels in batch processing, allows for the creation of custom JSON schemas, and possesses the capability to interpret images, thereby significantly improving data extraction and formatting efficiency. With an intuitive dashboard and seamless REST API integration, Monkt fits effortlessly into existing workflows, enhancing productivity with minimal disruption. It emphasizes data security through end-to-end encryption during document processing, ensuring that sensitive information remains protected while being optimized for AI applications. The platform's straightforward drag-and-drop interface facilitates easy document uploads, and users can view transformations in real time through a convenient preview panel. Furthermore, Monkt's ability to process multiple documents simultaneously makes it an exceptional choice for large-scale data transformation and preparation of datasets for AI training. This tool not only simplifies the conversion process but also greatly accelerates workflows for teams managing substantial amounts of data, thereby fostering a more efficient working environment. As a result, users can focus on their core tasks while relying on Monkt to handle the complexities of document transformation.

Media

Media

Integrations Supported

HTML
JSON
Broxi AI
DataChain
Databricks Data Intelligence Platform
GitHub
Google Colab
Google Sheets
Langflow
Markdown
Microsoft Excel
Microsoft Word
Pinecone Rerank v0
PowerPoint
Unity Catalog

Integrations Supported

HTML
JSON
Broxi AI
DataChain
Databricks Data Intelligence Platform
GitHub
Google Colab
Google Sheets
Langflow
Markdown
Microsoft Excel
Microsoft Word
Pinecone Rerank v0
PowerPoint
Unity Catalog

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$4.99 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Unstructured

Company Website

unstructured.io

Company Facts

Organization Name

Monkt

Company Website

monkt.com

Categories and Features

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Categories and Features

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