In document-heavy workflows—especially onboarding, legal, and finance—forms vary wildly in layout and field naming. Tensorlake lets you extract consistent, normalized field-value pairs from noisy or custom forms.

This enables analytics, auditing, and cross-document comparison without requiring brittle LLM prompts or regex scripts.

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Why This Matters

  • Field names vary: “Name,” “Full Name,” “Client Name,” etc.
  • Manual mapping is slow, and regex is fragile
  • Most tools extract raw text without structure or layout context

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How Tensorlake Helps

  • Extract K/V pairs using a schema or structured form detection
  • Normalize field names using post-processing hooks
  • Trace values back to exact location on page (bounding box, page #)
  • Chain results into validation pipelines or analytics dashboards

Want help mapping your field names to a stable schema? Join the Slack Community.