Extract from Text
The Extract from Text block uses AI to identify and pull out specific information from unstructured text content.
Extract specific information from any text content
The Extract from Text block uses AI to identify and pull out specific information from unstructured text content. It accepts two inputs: a content field containing the source text, and an extraction prompt that describes what information to retrieve and how to format the output. The block returns a single output called Extraction Result, which contains the extracted data structured according to the instructions provided in the extraction prompt.
What you can build
Real-world workflows powered by the Extract from Text block.
Parse Contact Details
Extract names, email addresses, and phone numbers from unstructured text such as email signatures or directory listings.
Summarize Customer Feedback
Pull out sentiment indicators, ratings, and specific complaints or compliments from raw customer review text.
Extract Dates and Deadlines
Identify all dates, times, and deadlines mentioned in documents, contracts, or meeting notes for downstream scheduling workflows.
Structure Product Data
Extract product names, prices, and specifications from unformatted catalog text or scraped web content into a consistent format.
Pull Key Clauses from Contracts
Identify and return specific clauses, terms, or obligations from legal or policy documents for review or comparison.
Mine Data from Reports
Extract numerical figures, KPIs, or named entities from financial or operational reports to feed into analysis workflows.
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Get Started FreeCommon questions about Extract from Text
What are the required inputs for this block?
The block requires two string inputs: content, which is the source text to analyze, and extractionPrompt, which describes what information to extract and how to format the output.
What does the block return?
The block returns a single output variable called result, labeled Extraction Result. The structure and format of this output depends on the instructions provided in the extraction prompt.
What kinds of text can be passed into the content field?
The content field accepts any string input. Based on the block's metadata, it is designed to handle general text content such as documents, emails, or other unstructured text.
How specific does the extraction prompt need to be?
The extraction prompt is a free-form string where you describe what to extract and how to format the result. The output will reflect the instructions given, so more specific prompts produce more predictable output structures.
What kinds of workflows commonly use this block?
This block fits into workflows that involve processing unstructured text and passing structured data to downstream steps, such as data parsing pipelines, document analysis flows, or content transformation sequences.
Related capabilities
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