Lease Data Extraction
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General Concepts
Lease data extraction is the automated process of reading lease documents (PDFs, scans, images) and converting the content into structured data. Modern extraction uses AI and machine learning to identify and categorize lease terms, payment schedules, dates, and clauses.
Why it matters
AI-powered extraction transforms lease accounting from a data entry discipline to a review and approval discipline. Instead of spending weeks manually entering lease terms, accounting teams can process hundreds of documents in hours and focus their expertise on reviewing the AI's output.
Document Intelligence platforms automate the extraction process, using AI to identify and extract the key fields from lease documents with far greater speed and consistency than manual review.
How Arvexi handles this
Arvexi's Document Intelligence reads any lease PDF without templates. The AI identifies payment terms, escalation clauses, options, commencement dates, and over 50 other data points, each with a confidence score and direct link to the source text. Available standalone via the Extraction Service with output to 8 target system formats.