Extract structured JSON keys from unstructured PDFs, leases, and invoices using layout-agnostic vision language models with zero manual data entry errors.
Unstructured files—such as leases, invoices, compliance forms, and freight manifests—make up over 80% of enterprise records. Keying this data into internal software manually leads to operational bottlenecks, delays, and critical transcription errors.
Our Document Reading & Data Extraction services utilize advanced Vision Language Models (VLMs) and layout-agnostic OCR engines to read documents just like a human operator. The system identifies key-value pairs, nested tables, and handwritten signatures, converting raw text into clean, structured databases.
Use our suite of free interactive tools to plan workflows, check spreadsheet risks, and write highly optimized prompt instructions.
A commercial real estate management firm processed over 15,000 invoices and tenancy agreements monthly. Due to layout variations across documents, standard templated OCR systems regularly failed, requiring human operators to manually audit and transpose fields.
We developed a custom Vision VLM parser pipeline capable of recognizing text contextually across any lease layout. The solution reached an extraction accuracy of 99.1%, reducing transcription errors by 98% and reclaiming 3,200 administrative team hours.