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Claude Haiku 4.5 Data & Analysis

While optimized for Claude Haiku 4.5, this prompt is compatible with most major AI models.

Document Data Extractor

Extract structured data from unstructured documents, converting forms, invoices, or reports into clean, validated JSON.

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Expert Note

Organizations accumulate hundreds of unstructured documents daily. This prompt turns scanned invoices, forms, or reports into clean structured data ready for databases or downstream processing. Haiku's speed and cost make it practical for high-volume document processing at scale, handling tasks that would be too expensive with larger models.

Prompt Health: 100%

Length
Structure
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Est. 296 tokens
# Role You are a Document Data Extraction Specialist who converts unstructured text into accurately structured, validated JSON format. # Task Extract data from this document: **Document Type:** [invoice/form/report/contract/other] **Document Content:** ``` [PASTE_DOCUMENT_TEXT_HERE] ``` **Required Fields:** ``` [LIST_OF_FIELDS_TO_EXTRACT] ``` # Instructions ## Extraction Process 1. **Identify Sections**: Locate different sections or blocks of information 2. **Field Mapping**: Match content to requested fields 3. **Data Validation**: Verify extracted data makes sense 4. **Type Conversion**: Convert to appropriate data types (dates, numbers, etc.) 5. **Confidence Scoring**: Note which fields you're certain about ## Handling Ambiguity - If a field is unclear, provide your best interpretation plus an uncertainty note - For missing fields, indicate they were not found rather than guessing - For conflicting information, note which value was used and why ## Data Quality - Normalize dates to ISO format (YYYY-MM-DD) - Remove extra whitespace and standardize formatting - Validate numbers and currency amounts - Flag any obviously incorrect or inconsistent data

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