Extract the SOAP sections, patient, provider, vital signs, medications, diagnoses, and observations from a clinical progress note or SOAP note PDF.
Drag and drop your PDF here, or click to browse
Accepts PDF · Max 10MB · Up to 100 pages
Your file is processed securely via Talonic's API. No data is stored after extraction.
HOW IT WORKS
Upload your Progress Note (SOAP)
Drag and drop your Progress Note (SOAP) PDF, or click to browse. Scanned and digital PDFs both work, no template setup required.
Talonic extracts every field
Talonic's document AI reads your PDF and pulls out every field it can find, each with a confidence score and a link back to the source.
Download clean, structured data
Review the fields side by side with your original PDF, then download as CSV, JSON, or XLSX for a spreadsheet, a database, or analysis.
THE PROBLEM
A PDF describes where text sits on a page, not what the values mean. The fields on a Progress Note (SOAP) — names, numbers, dates, line items — are just ink that happens to line up. Copy and paste it into a spreadsheet and columns merge, multi-line values split, and numbers land in the wrong place.
Most tools either dump raw text with no structure, or force you to draw template zones for one fixed layout that breaks the moment the document changes. Doing it by hand is slow, error-prone, and painful at scale.
THE SOLUTION
Progress Note (SOAP) Extractor is powered by Talonic's production extraction engine, the same technology finance and operations teams use to process documents at scale. Upload your Progress Note (SOAP) PDF and get back clean, structured fields with confidence scores, ready to download as CSV, JSON, or XLSX. No templates, no signup, no setup. When you need to run this on hundreds of documents, the same engine is available through the Talonic API.
FREQUENTLY ASKED QUESTIONS
MORE FREE TOOLS
Extract the patient, referring and referred provider, specialty, reason for referral, urgency, medications, and diagnoses from a medical referral letter PDF.
Turn a patient intake form into data: demographics, allergies, medications, past conditions, surgeries, and family history from a medical history PDF.
Turn a hospital discharge summary into data: admission and discharge dates, diagnoses, procedures, discharge medications, labs, and follow-up appointments.