Isomeric is an AI tool that transforms unstructured text into structured, machine-readable JSON. It uses artificial intelligence to semantically understand text and extract specific data, enabling scalable data gathering pipelines.
Isomeric is an AI-powered solution designed to convert any unstructured text into structured, machine-readable JSON data. It leverages artificial intelligence to semantically understand text, allowing users to extract specific information as defined by a JSON Schema. This tool is highly versatile, catering to needs such as web scraping, enhancing browser extensions, and general information extraction. Isomeric streamlines data gathering pipelines, making it easier to process diverse data from sources like websites, transcripts, legal documents, and customer conversations. It supports various use cases including customer support analysis, data platform orchestration, and legal document processing, providing deterministic JSON output for insights and actions.
Best used for
Ideal for developers and data scientists who need to convert messy text into structured JSON, automate web scraping, and extract key details from various documents. Especially valuable for scaling data gathering pipelines and integrating structured data into applications or platforms.
Common actions
structure unstructured data
extract data from text
automate web scraping
process legal documents
analyze customer conversations
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Isomeric offers several paid plans: Solo at $149/month for 2,500 requests, Startup at $259/month for 5,000 requests, and Growth at $899/month for 25,000 requests. Custom enterprise solutions are also available, with pricing as low as $0.004 per request.
Does Isomeric offer a free trial or free usage?
Yes, Isomeric provides a free tier where the first 50 requests are free across all its standard plans (Solo, Startup, Growth). This allows users to test the service before committing to a paid subscription.
Can Isomeric be used for web scraping?
Absolutely. Isomeric is designed to extract data from webpages by taking the page text and applying a user-defined JSON Schema. This allows for efficient and scalable web scraping, transforming unstructured web content into machine-readable data.