Isomeric – Survto AI
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Isomeric
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Website to JSON (1)

Isomeric

Transforming unstructured text into structured data.

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Starting price from $149

Tool Information

Isomeric is an AI-powered service designed to transform unstructured text into structured data. It operates by allowing users to define the structure they desire their data to take and then, using advanced AI techniques, extracts specified information from the raw text and returns it as deterministic JSON. This tool can be beneficial in multiple scenarios where data structure is needed quickly and accurately. This includes capturing important details from web pages (web scraping), extracting key data from various legal documents, and even the processing of data gathered from browser extension integrations. Additionally, customer support platforms can use Isomeric to extract themes, sentiment, and customer details from a large volume of conversations, while data orchestration platforms can enhance the extraction of insights from user behaviour. This service also proves useful in the creation of structured data within the legal sector, by identifying key details in extensive documents. Isomeric provides a robust REST API for integration and is available for usage in various pricing tiers, addressing different usage capacities and custom needs.

F.A.Q (20)

Isomeric's main function is to transform unstructured website text into structured JSON data, making it easy for users to extract and analyze information from the web.

Isomeric uses advanced AI technology to understand and parse unstructured text on a website, extracting relevant information, and organizing it into a structured JSON format.

Isomeric allows users to extract data from entire webpages simply by getting the page text and defining the schema they want the data returned, eliminating the need for a scraper stack and making the process of web scraping faster, efficient, and automated.

With its AI capabilities, Isomeric ensures accurate and reliable data conversion. It is designed to handle complex website structures and adapt to different formatting variations, delivering dependable and high-quality structured data.

Yes, Isomeric can effectively handle complex website structures and adapt to different formatting variations. Its advanced AI is specifically designed to comprehend and traverse these complexities ensuring accurate data conversion.

Isomeric's API service can parse a variety of information from a website's unstructured text. This could range from specific data points like names, dates, and prices, to sentiment analysis, theme extraction, and customer detail extraction.

Isomeric provides a robust REST API, facilitating easy integration into your applications and systems. By calling its API, you can integrate the abilities of Isomeric and benefit from its advanced data structuring capabilities directly within your application.

Isomeric aids in data analysis or machine learning training by transforming unstructured website text into structured, machine-readable JSON. This structured data can then be used by data scientists for modelling, training, and prediction thus facilitating the process of data-based decision making.

Isomeric's services can be beneficial to a variety of sectors and industries. Among others, these include legal industries for document analysis, customer support platforms for conversation analysis, and data orchestration platforms for enhanced insight extraction.

Isomeric assists customer support platforms by enabling them to extract themes, products, sentiment, customer details and much more from large volumes of customer conversations. As a result, this aids in structuring and analyzing customer feedback more effectively and efficiently.

Isomeric provides advanced text analytics capabilities to data orchestration platforms. It enables them to automatically extract insights from user behavior like clicks, scrolls, page views, thereby making data structuring instantaneous and analysis ready.

In the legal sector, Isomeric can automatically extract key details from lengthy legal documents. Attributes such as parties involved, decisions, monetary values, locations, themes can all be identified and structured with the use of Isomeric.

Isomeric offers several pricing options designed to fit different usage capacities. These include the Solo plan for personal use and early projects, the Startup plan for early stage projects not yet ready to scale, and the Growth plan designed for large projects. There's also a Custom subscription for scaled use cases where unit costs are critical.

Isomeric can assist in extracting important details from legal documents by parsing the unstructured text to identify key details such as the names of parties involved, decisions, monetary values, locations and themes and structuring these into a format that can be easily read and analysed.

Isomeric enhances web scraping tasks by simplifying the process of extracting data from entire webpages. This it does by allowing users to define the schema they want their data returned in, extracting the required data from the webpage and returning it as structured JSON.

Yes, Isomeric does provide a robust REST API, which can be used to integrate the service into your applications or systems.

Yes, Isomeric can extract data from user behaviour on websites. Data orchestration platforms leverage Isomeric to automatically extract insights from user behavior like clicks, scrolls, page views and more.

For those using browser extension integrations, Isomeric can extract the data you need across different sites so as to scale your extension. This eliminates the need for site-specific integrations, maximising efficiency and coverage.

Yes, Isomeric can identify and extract customer sentiments from large volumes of conversations. This can be particularly beneficial to customer support platforms, offering a perspective into customer experiences for service improvements.

Isomeric uses artificial intelligence to semantically understand unstructured text from which it then extracts themes, sentiment, and other specified data. It structures this data in the form of deterministic JSON, thus providing insights to understand the underlying themes and sentiment of the text data.

Pros and Cons

Pros

  • Transforms unstructured website text
  • Offers structured JSON output
  • Automates data extraction
  • Handles complex website structures
  • Adapts to formatting variations
  • Accurate data conversion
  • Useful for data analysis
  • Useful for machine learning
  • Robust REST API
  • Tailored pricing tiers
  • Great for legal sector
  • Enhances user behavior insights
  • Simplifies web scraping
  • Beneficial for browser extension integrations
  • Uses advanced data structuring methods
  • Beneficial for customer support platforms
  • Helpful in data orchestration platforms
  • Customizes data output structure
  • Can scale data gathering
  • Automatically identifies key document details
  • Transforms text from legal documents
  • Extracts key web page details
  • Structured data from customer conversations
  • Discovers insight from user behaviour
  • Deterministic JSON output
  • Addresses different usage capacities
  • Accomodates custom needs
  • New Javascript SDK available
  • Extracts semantic details from text
  • Easy integration with other systems
  • Creates machine-readable JSON
  • Supports multiple use scenarios
  • Efficient alternative to traditional scraping
  • Facilitates data storing and manipulation
  • Saves time and resources
  • Supports extraction of sentiment and themes
  • Highly scalable solution
  • User-friendly data structuring design
  • Extracts data from various documents
  • Supports e-commerce and real estate sectors
  • First 50 requests are free
  • No throttle in all plans
  • 14 days money-back guarantee
  • Flexible data schema definition
  • Handles data from diverse sources

Cons

  • Doesn't support real-time processing
  • No free-tier pricing available
  • Potential difficulties with complex schemas
  • Limited compatibility with certain websites
  • Difficulties handling large data volumes
  • Reliant on user-defined structure
  • Limited error recovery
  • Unclear handling of nested structures
  • No SDK for languages other than JavaScript
  • No bulk request handling

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