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All Use Cases

Data Extraction

Turn unstructured documents into clean, structured data. Define your target schema, and ShapeShyft extracts exactly the information you need—every time.

How It Works

1

Define Your Schema

Describe the exact data structure you want to extract—nested objects, arrays, typed fields with validation.

2

Send Your Document

Pass document text to the ShapeShyft API. We handle the prompting and extraction logic.

3

Get Structured Data

Receive validated JSON matching your schema. Import directly into databases, spreadsheets, or APIs.

Example: Invoice Data Extraction

Your JSON Schema

{
  "type": "object",
  "properties": {
    "vendor": {
      "type": "object",
      "properties": {
        "name": { "type": "string" },
        "address": { "type": "string" },
        "taxId": { "type": "string" }
      }
    },
    "invoiceNumber": { "type": "string" },
    "date": { "type": "string", "format": "date" },
    "lineItems": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "description": { "type": "string" },
          "quantity": { "type": "number" },
          "unitPrice": { "type": "number" },
          "total": { "type": "number" }
        }
      }
    },
    "subtotal": { "type": "number" },
    "tax": { "type": "number" },
    "total": { "type": "number" }
  },
  "required": ["invoiceNumber", "total"]
}

Extracted Output

{
  "vendor": {
    "name": "Acme Supplies Inc.",
    "address": "123 Business Ave, NY 10001",
    "taxId": "12-3456789"
  },
  "invoiceNumber": "INV-2024-0892",
  "date": "2024-01-15",
  "lineItems": [
    {
      "description": "Office Supplies",
      "quantity": 50,
      "unitPrice": 12.99,
      "total": 649.50
    }
  ],
  "subtotal": 649.50,
  "tax": 56.83,
  "total": 706.33
}

Complex nested structures are extracted accurately, with proper typing for numbers, dates, and arrays.

Applications

Invoice Processing

Extract vendor details, line items, totals, and tax information from invoices in any format. Feed directly into your accounting system.

AP automationExpense trackingAudit preparationVendor management

Resume Parsing

Convert resumes into structured candidate profiles. Extract contact info, work history, education, skills, and certifications consistently.

ATS integrationCandidate matchingSkills inventoryRecruitment analytics

Contract Analysis

Pull key terms, dates, parties, and obligations from legal documents. Automate contract review and compliance monitoring.

Due diligenceRisk assessmentRenewal trackingClause extraction

Form Processing

Digitize paper forms, applications, and questionnaires. Extract field values regardless of layout variations.

Insurance claimsLoan applicationsGovernment formsSurvey responses

Why ShapeShyft for Data Extraction?

🎯

Schema Enforcement

Every extraction matches your exact schema. No missing fields, no unexpected formats.

🔄

Format Flexibility

Handle variations in document layouts. The same schema works across different formats.

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Instant Integration

Get clean JSON ready for databases, APIs, and spreadsheets without post-processing.

Start Extracting Data Today

Build your first data extraction endpoint in minutes. No ML training required.

🚀Performance Monitor

Web Vitals

LCPLargest Contentful Paint
2396ms
FIDFirst Input Delay
N/Ams
CLSCumulative Layout Shift
N/A
FCPFirst Contentful Paint
2036ms
TTFBTime to First Byte
69ms

Bundle Performance

JS Load
11368ms
CSS Load
63ms
JS Files
84
Transfer Size
6.2MB

Memory

Used Heap
26.3MB
Total Heap
33.5MB
Usage
1%
GoodNeeds ImprovementPoor