LangExtract - Transform Unstructured Text into Actionable Data with a Google Open-Source Library

Stop the manual grind. Our smart text information extraction tool helps you instantly grasp the core of long documents.

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See the power of unstructured information extraction for yourself

Highlights Legend: character emotion relationship
class: relationship
attributes: {type: romantic longing, character_1: Lady Juliet, character_2: Romeo}
Lady Juliet gazed longingly at the stars, her heart aching for Romeo
Entity 3/3 | Pos [42-68]
Note on LLM Knowledge Utilization: This example demonstrates extractions that stay close to the text evidence - extracting "longing" for Lady Juliet's emotional state and identifying "yearning" from "gazed longingly at the stars." The task could be modified to generate attributes that draw more heavily from the LLM's world knowledge (e.g., adding "identity": "Capulet family daughter" or "literary_context": "tragic heroine"). The balance between text-evidence and knowledge-inference is controlled by your prompt instructions and example attributes.

This demo showcases our long document summarization and structured data extraction capabilities. The highlighted parts in the video are the key entities identified by our AI, such as contract values, effective dates, and company names. This drastically simplifies data organization.

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Powerful & Efficient, Powered by Google's Open-Source LangExtract

Our platform is built on the robust Google open-source text extraction library, LangExtract. This provides us with a solid technical foundation and ongoing community support. We understand the challenge of how to extract key information from long documents, which is why our solution excels at processing large-scale, unstructured data.

Unlike other solutions, we have optimized our platform specifically for complex long documents, ensuring high recall and precision. We are not just a tool; we are your professional assistant for solving the problem of how to structure unstructured data.

Still asking, "Is there a good Python text extraction library?" We are the answer.

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