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README.md
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title: Unstructured
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emoji:
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colorFrom:
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sdk: gradio
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sdk_version:
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app_file: app.py
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pinned: false
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---
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title: Unstructured to Structured JSON Converter
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emoji: π
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colorFrom: blue
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colorTo: purple
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sdk: gradio
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sdk_version: 4.0.0
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app_file: app.py
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pinned: false
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license: mit
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---
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# Unstructured to Structured JSON Converter
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A production-ready system for extracting structured data from unstructured text following complex JSON schemas.
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## Key Features
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- **Schema Agnostic**: Handles unlimited complexity (6+ levels, 250+ fields, 500+ enums)
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- **Large Document Support**: Processes 50+ page documents and 10MB+ files
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- **Dynamic Resource Allocation**: Scales from $0.01 to $5.00 based on complexity
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- **Confidence-Based Review**: Automatic quality assessment with human review routing
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- **Multi-Stage Processing**: Hierarchical extraction for complex schemas
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## Performance Metrics
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| Complexity Tier | Max Depth | Fields | Cost | Time | Accuracy |
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|-----------------|-----------|--------|------|------|----------|
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| **Tier 1** (Simple) | β€2 levels | β€20 | $0.01-0.05 | 5-15s | 95-98% |
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| **Tier 2** (Medium) | β€4 levels | β€100 | $0.08-0.25 | 15-45s | 90-95% |
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| **Tier 3** (Complex) | >4 levels | >100 | $0.30-2.00 | 45-120s | 85-90% |
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## How to Use
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1. **Paste your unstructured content** (documents, emails, contracts, etc.)
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2. **Define your target JSON schema** (or use the provided examples)
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3. **Click "Extract Structured Data"** to process
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4. **Review the results** with confidence scores and quality assessment
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## Example Use Cases
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### GitHub Actions Metadata
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Extract action configuration from documentation:
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- Inputs, outputs, steps, branding
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- **Complexity**: Medium (4 levels, 22 fields)
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- **Time**: ~25 seconds, **Cost**: ~$0.15
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### Resume/CV Processing
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Structure personal profiles:
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- Work experience, education, skills
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- **Complexity**: Complex (5 levels, 85+ fields)
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- **Time**: ~45 seconds, **Cost**: ~$0.35
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### Email Chain Analysis
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Extract requirements from stakeholder communications:
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- Participants, decisions, timelines
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- **Complexity**: Complex (4 levels, 50+ fields)
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- **Time**: ~30 seconds, **Cost**: ~$0.25
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### Legal Contract Processing
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Structure contract terms and conditions:
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- Parties, terms, deliverables, timelines
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- **Complexity**: Complex (4 levels, 60+ fields)
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- **Time**: ~35 seconds, **Cost**: ~$0.30
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## How It Works
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### 1. Schema Analysis
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- Analyzes JSON schema complexity (depth, fields, objects, enums)
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- Creates optimal extraction strategy
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- Estimates cost and processing time
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### 2. Document Processing
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- Handles large documents with semantic chunking
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- Preserves context across chunk boundaries
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- Supports multiple input formats
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### 3. Multi-Stage Extraction
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- **Stage 1**: Simple fields (strings, numbers, booleans)
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- **Stage 2**: Enums and choice fields
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- **Stage 3**: Arrays and lists
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- **Stage 4**: Complex nested objects
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### 4. Quality Assessment
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- Field-level confidence scoring
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- Schema compliance validation
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- Human review routing for uncertain extractions
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## Technical Innovation
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### Schema-Agnostic Processing
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Unlike traditional systems that impose rigid constraints, this system:
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- **Analyzes** any schema complexity dynamically
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- **Decomposes** complex schemas into manageable stages
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- **Allocates** resources based on actual complexity
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- **Scales** from simple forms to research papers
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### Confidence-Based Review Routing
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- **High Confidence** (>90%): No review needed
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- **Medium Confidence** (70-90%): Quick validation
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- **Low Confidence** (<70%): Detailed human review
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### Dynamic Model Selection
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- **GPT-4o-mini**: Simple fields, cost-effective
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- **GPT-4o**: Complex structures, high quality
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- **Adaptive routing**: Based on field complexity
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## Configuration
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This space requires an OpenAI API key to function. The key should be added to the space secrets as `OPENAI_API_KEY`.
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