Process medical records with zero cloud risk.
ParseFlow extracts patient data, diagnoses, medications, and treatment details from clinical PDFs — entirely on your Mac. No protected health information ever leaves your device.
The old way vs. the ParseFlow way
Medical staff manually transcribe patient records from PDFs into EHR systems. It's slow, error-prone, and creates HIPAA compliance risks when using cloud-based tools.
ParseFlow processes medical PDFs entirely on-device. Extract patient demographics, diagnoses, medications, and lab results without any data leaving your Mac. HIPAA-friendly by architecture.
Example extraction schema
Define this schema once in ParseFlow, then reuse it across all your medical records extraction documents.
{
"patient_name": "string",
"patient_id": "string",
"date_of_visit": "date",
"provider": "string",
"diagnoses": [{
"code": "string",
"description": "string"
}],
"medications": [{
"name": "string",
"dosage": "string",
"frequency": "string"
}],
"vitals": {
"blood_pressure": "string",
"heart_rate": "number",
"temperature": "number"
},
"follow_up": "string"
}Input → Output
A clinical visit note PDF with patient demographics, chief complaint, examination findings, diagnoses, prescribed medications, and follow-up instructions.
Patient: Jane Doe, ID: PAT-2024-1234, Visit: 2024-03-15, Provider: Dr. Smith, Diagnoses: J06.9 (Acute upper respiratory infection), Medications: Amoxicillin 500mg TID x10 days, Follow-up: 2 weeks.
Automate medical records extraction today
Stop copying data by hand. ParseFlow extracts structured data from your PDFs in minutes — entirely on your Mac.
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