Transform Complex PDF and Document Archives Into Structured Data
We build high-accuracy document intelligence pipelines that parse messy PDFs, scanned images, contracts, and financial statements into clean, validated JSON schemas.
Primary Architecture
Document Intelligence
Modular · Resilient · Cloud Native
Challenges This Solves
- Hundreds of manual hours spent retyping data from invoices, forms, and contracts
- Traditional OCR breaking when formatting, layouts, or fonts change
- Complex nested tables and multi-column layouts losing structural meaning
- Lack of validation against existing database records
What Code Rockers Offers
- Multi-modal vision and text document extraction (GPT-4o, Claude 3.5 Sonnet, AWS Textract)
- High-precision tabular data extraction preserving column-row relationships
- Entity extraction: dates, totals, legal clauses, signatures, line items
- Automated cross-validation against internal ERP and accounting databases
- Audit trail linking extracted fields directly to bounding boxes on source documents
Key Deliverables
Clear, concrete artifacts handed over to your team upon milestone completion.
Suitable Use Cases
Scenarios where this technical engagement yields immediate commercial value.
Engineering & Implementation Process
Schema Definition
Define target JSON structures, required validation rules, and confidence thresholds.
Vision-Text Extraction
Implement multi-modal processing with table parsing algorithms.
Validation Engine
Enforce arithmetic checks (e.g. subtotal + tax = total) and database lookups.
System Integration
Feed clean structured outputs directly into your core business systems.
Related Services
Frequently Asked About Document Intelligence
Ready to Begin Your Document Intelligence Project?
Let's review your objectives and map out a concrete architecture. Schedule a free 30-minute consultation with our engineering team today.