AI Document Parsing
Turn unstructured PDFs into structured data instantly. We build AI vision pipelines that automate manual data entry and document review.
Your back office receives hundreds of PDFs daily (invoices, purchase orders, medical referrals, customs forms) in completely different layouts. Human clerks have to read them and type the data into your ERP.
Impact
Extremely high administrative overhead, human data entry errors causing billing issues, and a 48-hour backlog just to process incoming paperwork.
Intelligent Document Processing (IDP). We use advanced Vision LLMs to 'read' the document like a human would, instantly extracting line items, dates, and names regardless of the visual layout.
Technical Approach
OpenAI Vision API, Anthropic Claude 3.5 Sonnet (for complex parsing), integrated with n8n and AWS Textract to map unstructured text directly into strict JSON schemas for your database.
A clerk opens an email, downloads an invoice PDF, reads it, and types the line items into QuickBooks. Time: 4 minutes.
An email arrives. The AI instantly extracts the PDF, parses all 50 line items, and creates a draft bill in QuickBooks. Time: 4 seconds.
Strict adherence to global data privacy laws. We never train public AI models on your proprietary data.
Architecture designed to meet rigorous healthcare and enterprise security compliance standards natively.
Scalable cloud-native deployments via AWS and Vercel Edge networks ensuring 99.99% uptime.
Everything you need to know about our AI Document Parsing process.
Traditional OCR breaks the moment a vendor changes their invoice template because it relies on exact coordinate mapping. Vision AI understands the 'meaning' of the document, so it can find the 'Total Due' regardless of where it is placed on the page.
Yes, modern Vision LLMs are exceptionally good at reading messy handwriting and transcribing it accurately.
Let's automate your document processing.
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