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  ---
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- title: Unstructured To Structured Converter
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- emoji: πŸ“Š
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- colorFrom: red
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- colorTo: yellow
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  sdk: gradio
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- sdk_version: 5.38.0
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  app_file: app.py
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  pinned: false
 
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  ---
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ title: Unstructured to Structured JSON Converter
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+ emoji: πŸ”„
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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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+
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+ A production-ready system for extracting structured data from unstructured text following complex JSON schemas.
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+
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+ ## Key Features
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+
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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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+
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+ ## Performance Metrics
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+
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+ | Complexity Tier | Max Depth | Fields | Cost | Time | Accuracy |
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+ |-----------------|-----------|--------|------|------|----------|
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+ | **Tier 1** (Simple) | ≀2 levels | ≀20 | $0.01-0.05 | 5-15s | 95-98% |
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+ | **Tier 2** (Medium) | ≀4 levels | ≀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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+
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+ ## How to Use
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+
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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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+
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+ ## Example Use Cases
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+
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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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+
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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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+
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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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+
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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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+
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+ ## How It Works
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+
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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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+
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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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+
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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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+
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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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+
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+ ## Technical Innovation
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+
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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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+
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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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+
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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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+
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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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+