Step 1: File Upload
The user begins by uploading a lab test in PDF, TXT, or JPG format. AI-LabTest instantly runs OCR (if needed), parses the document, and extracts relevant clinical values such as hemoglobin, WBC count, cholesterol levels, etc.
Step 2: AI-Driven Parsing and Validation
The platform uses custom logic and advanced language models to identify, organize, and validate numerical and categorical lab data while ignoring visual clutter, headers, or unrelated notes.
Step 3: Medical Contextualization
Our AI-supported model interprets each marker in the context of normal clinical ranges, age, and gender if provided. It flags low/high/critical values and begins forming a narrative.
Step 4: Structured Explanation
AI generates a comprehensive 6-section report, detailing marker relationships, causes and implications. It explains possible causes and provides recommendations.
Step 5: Optional Chatbot for Clarification
Users can ask follow-up questions about their report using our built-in AI medical chatbot, which is available for unlimited use to paid users.
This structured approach turns complex data into clear, medically relevant interpretations in seconds — helping users make informed decisions faster.