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SurveyJSSurveyJS comprises a collection of four open-source JavaScript libraries that provide the advantages of a customized, in-house survey application while significantly minimizing the time and resources required for deployment. These libraries function independently of specific server code or database needs, allowing for seamless integration with well-known JavaScript frameworks such as React, Angular, Vue.js, jQuery, Knockout, and others. They are built to interact with any server capable of processing JSON requests, thereby ensuring compatibility with a wide range of server setups and databases. This product suite includes: - An open-source library licensed under MIT that facilitates the rendering of dynamic JSON-based forms within your web application and captures user responses. - A self-hosted form builder featuring drag-and-drop functionality, an integrated CSS theme editor, and a graphical user interface for setting conditional rules; it also generates JSON definitions of your forms in real time. - A PDF Generator library that allows for the conversion of SurveyJS surveys and forms into PDF files directly in the browser. - The Dashboard library, which enhances survey data analysis through interactive and customizable charts and tables. We invite you to explore our website and experience our comprehensive demo at no cost. This opportunity will allow you to assess the full capabilities of SurveyJS firsthand.
What is Supametas.AI?
Supametas.AI is a state-of-the-art platform designed to convert unstructured data into structured formats that align seamlessly with large language models (LLMs) and retrieval-augmented generation (RAG) systems. This groundbreaking tool seeks to simplify the data collection, construction, and preprocessing workflows tailored to various industries, allowing businesses to sidestep the complexities associated with intricate data cleaning tasks. Moreover, users can convert data from a diverse range of sources, such as APIs, URLs, local files, images, audio, and video, into JSON and Markdown formats, which can then be effortlessly integrated into LLM RAG knowledge bases. This functionality significantly boosts data accessibility and empowers organizations to make better-informed decisions based on their data resources. As a result, companies can leverage their data more effectively, ultimately driving innovation and growth.
What is AddToIt?
Our company specializes in the extraction, reorganization, and processing of data from a multitude of sources, such as web pages, PDFs, DOC files, and many others. We possess comprehensive skills in every facet of the ETL (Extract, Transform, Load) process. Our proficiency lies in transforming complex, unstructured data into accurate and useful insights, no matter the format. If you are encountering a tough issue that others have struggled to overcome, our nearly twenty years of expertise in data collection and processing could provide the solution you are looking for. AddToIt offers services in both English and Chinese, making our offerings accessible to a wider audience. All activities are conducted within the United States, in compliance with US contractual laws. Established in 2000, AddToIt.com, Inc. is based in Bedford, Massachusetts, and is focused on creating cutting-edge technologies for accessing unstructured data. Our business model prioritizes delivering data as a service, with a strong commitment to customer satisfaction and providing high-quality results at competitive prices. In addition, we are dedicated to continually evolving our services to keep pace with the dynamic needs of the data industry, ensuring that our clients always receive the best solutions available. By staying ahead of trends and innovations, we aim to maintain our position as leaders in the data processing field.
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
API Availability
Pricing Information
Pricing not provided
Pricing Information
Pricing not provided
Supported Platforms
SaaS
Supported Platforms
SaaS
Customer Service / Support
Not specified
Customer Service / Support
Standard Support
Web-Based Support
Training Options
Not specified
Training Options
Not specified
Company Facts
Organization Name
Supametas.AI
Date Founded
2025
Company Location
United States
Company Website
supametas.ai
Company Facts
Organization Name
AddToIt
Date Founded
2000
Company Location
United States
Company Website
www.addtoit.com
Categories and Features
Unstructured Data Analysis
Not specified
Categories and Features
Data Extraction
Document Extraction
Pricing Extraction
Web Data Extraction
Unstructured Data Analysis
Not specified