Overview
The AI Document Parser uses a combination of OCR, NLP, and large language model (LLM) prompting to extract structured data from unstructured documents — project specs, tender documents, equipment schedules, invoices, and engineering drawings.
What It Solves
Construction and engineering projects generate enormous volumes of PDFs — specs, RFIs, submittals, and schedules. Extracting key data manually is slow and error-prone. This tool automates extraction into structured JSON or Excel output.
Capabilities
- PDF and scanned image ingestion with OCR pre-processing
- Field extraction: dates, references, quantities, material specs, vendor details
- Drawing title block extraction (drawing number, revision, scale, date)
- Equipment schedule parsing into structured tables
- Output to JSON, CSV, or Excel
- Configurable extraction schemas per document type
Architecture
- OCR layer: Tesseract / Azure Document Intelligence for scanned inputs
- Extraction layer: GPT-4o with structured output (JSON mode) for intelligent field parsing
- Post-processing: Python validation and schema enforcement
- Delivery: REST API or batch CLI tool
Current Status
The tool is in Beta — available to select clients for testing on real project documents. We are actively refining extraction accuracy and adding support for additional document types.
Get Access
Reach out via the contact form to join the beta programme.