metadata
title: Unstructured to Structured JSON Converter
emoji: 🔄
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 5.38.0
app_file: app.py
pinned: false
license: mit
Unstructured to Structured JSON Converter
A production-ready system for extracting structured data from unstructured text following complex JSON schemas.
Key Features
- Schema Agnostic: Handles unlimited complexity (6+ levels, 250+ fields, 500+ enums)
- Large Document Support: Processes 50+ page documents and 10MB+ files
- Dynamic Resource Allocation: Scales from $0.01 to $5.00 based on complexity
- Confidence-Based Review: Automatic quality assessment with human review routing
- Multi-Stage Processing: Hierarchical extraction for complex schemas
Performance Metrics
| Complexity Tier | Max Depth | Fields | Cost | Time | Accuracy |
|---|---|---|---|---|---|
| Tier 1 (Simple) | ≤2 levels | ≤20 | $0.01-0.05 | 5-15s | 95-98% |
| Tier 2 (Medium) | ≤4 levels | ≤100 | $0.08-0.25 | 15-45s | 90-95% |
| Tier 3 (Complex) | >4 levels | >100 | $0.30-2.00 | 45-120s | 85-90% |
How to Use
- Paste your unstructured content (documents, emails, contracts, etc.)
- Define your target JSON schema (or use the provided examples)
- Click "Extract Structured Data" to process
- Review the results with confidence scores and quality assessment
Example Use Cases
GitHub Actions Metadata
Extract action configuration from documentation:
- Inputs, outputs, steps, branding
- Complexity: Medium (4 levels, 22 fields)
- Time: ~25 seconds, Cost: ~$0.15
Resume/CV Processing
Structure personal profiles:
- Work experience, education, skills
- Complexity: Complex (5 levels, 85+ fields)
- Time: ~45 seconds, Cost: ~$0.35
Email Chain Analysis
Extract requirements from stakeholder communications:
- Participants, decisions, timelines
- Complexity: Complex (4 levels, 50+ fields)
- Time: ~30 seconds, Cost: ~$0.25
Legal Contract Processing
Structure contract terms and conditions:
- Parties, terms, deliverables, timelines
- Complexity: Complex (4 levels, 60+ fields)
- Time: ~35 seconds, Cost: ~$0.30
How It Works
1. Schema Analysis
- Analyzes JSON schema complexity (depth, fields, objects, enums)
- Creates optimal extraction strategy
- Estimates cost and processing time
2. Document Processing
- Handles large documents with semantic chunking
- Preserves context across chunk boundaries
- Supports multiple input formats
3. Multi-Stage Extraction
- Stage 1: Simple fields (strings, numbers, booleans)
- Stage 2: Enums and choice fields
- Stage 3: Arrays and lists
- Stage 4: Complex nested objects
4. Quality Assessment
- Field-level confidence scoring
- Schema compliance validation
- Human review routing for uncertain extractions
Technical Innovation
Schema-Agnostic Processing
Unlike traditional systems that impose rigid constraints, this system:
- Analyzes any schema complexity dynamically
- Decomposes complex schemas into manageable stages
- Allocates resources based on actual complexity
- Scales from simple forms to research papers
Confidence-Based Review Routing
- High Confidence (>90%): No review needed
- Medium Confidence (70-90%): Quick validation
- Low Confidence (<70%): Detailed human review
Dynamic Model Selection
- GPT-4o-mini: Simple fields, cost-effective
- GPT-4o: Complex structures, high quality
- Adaptive routing: Based on field complexity
Configuration
This space requires an OpenAI API key to function. The key should be added to the space secrets as OPENAI_API_KEY.