Technology
Document Processing
Convert unstructured PDFs and images into structured, machine-readable data using specialized machine learning models.
Document Processing (IDP) leverages OCR and natural language processing to automate data extraction from high volume sources like invoices, medical records, and ID cards. Tools like Google Cloud Document AI and AWS Textract achieve 95% plus accuracy on key fields (dates, amounts, and names) while processing thousands of pages per minute. This technology reduces manual entry overhead by 40% on average: it turns static files into actionable datasets for ERP systems and databases. By integrating these APIs, businesses eliminate human error and accelerate turnaround times for critical financial or legal workflows.
What builders pair with Document Processing
Projects using both technologies. Select a pairing to see a project.
8 more pairings
Pairing: Algorithms
LLMs That Read Tables
Pairing: BERT
Unlocking the 95% of unstructured data in construction
Pairing: BLOOM
Unlocking the 95% of unstructured data in construction
Pairing: GPT-3
Unlocking the 95% of unstructured data in construction
Pairing: GPT-4
Unlocking the 95% of unstructured data in construction
Pairing: Llama-2
Unlocking the 95% of unstructured data in construction
Recent Talks & Demos
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