AI Medical Records Parser

Send any patient form or medical record to Google Sheets, your practice management system, or your API — no templates, no typing.

Drop a medical record here, or browse

AI auto-detects every field. Parse 10 pages free — no credit card.

PDF, image, Word, Excel · up to 30 MB
Any form layoutReads handwritingLands in your tools10 pages free

10 pages free · No credit card

Accurate Lock and Hardware
ArchTrade
BikBoom Trucks
Carrefour
Dubai Land Department
Fixico
InfoQuest
LUV Car Wash
Miracle Method
NatureGreen
Power X
Span America
Takhlees
Walthamstow Academy
Accurate Lock and Hardware
ArchTrade
BikBoom Trucks
Carrefour
Dubai Land Department
Fixico
InfoQuest
LUV Car Wash
Miracle Method
NatureGreen
Power X
Span America
Takhlees
Walthamstow Academy
Accurate Lock and Hardware
ArchTrade
BikBoom Trucks
Carrefour
Dubai Land Department
Fixico
InfoQuest
LUV Car Wash
Miracle Method
NatureGreen
Power X
Span America
Takhlees
Walthamstow Academy
Accurate Lock and Hardware
ArchTrade
BikBoom Trucks
Carrefour
Dubai Land Department
Fixico
InfoQuest
LUV Car Wash
Miracle Method
NatureGreen
Power X
Span America
Takhlees
Walthamstow Academy
Gemini 2.5 Pro
Powered by Google's most accurate multimodal model
99%
Extraction accuracy on production documents
9 sources
Independent benchmarks cited in our research
30 sec
From signup to first extraction

What is a medical record?

A medical record is the file a practice keeps on each patient — registration details, intake questionnaires, insurance information, referrals, and clinical notes. Parsing medical records and patient forms means turning those documents (typed, scanned, or handwritten) into structured fields you can enter into a practice management system, a spreadsheet, or a database — without anyone typing them in.

How medical record parsing works

Three steps from a medical record in your inbox to clean rows in your tools.

Step 1

Send your documents

Scan intake packets at the front desk, forward emails, snap photos, or POST via the API. Typed, scanned, and handwritten pages all work.

Step 2

Parsli reads every field

Powered by Google Gemini 2.5 Pro, Parsli pulls patient details, checkbox answers, medication lists, insurance card fields, and handwritten notes — as structured, typed data.

Step 3

Clean data lands in your tools

Send extracted fields to Google Sheets or Excel, or into your practice management system via Zapier, Make, webhooks, or the REST API.

What Parsli reads from a medical record

Every field below ships out of the box. Add custom fields anytime — Parsli reads them too.

Patient details

FieldTypeExample
Full nameTextMaria K. Alvarez
Date of birthDate1988-04-17
Patient / chart IDTextMRN-0047215
PhonePhone+13125550143
EmailEmailmaria@example.com
AddressTextStreet, city, state, ZIP

Intake & registration forms

FieldTypeExample
Reason for visitTextNew patient — annual exam
Current medicationsTableOne row per medication
AllergiesListPenicillin; latex
History checkboxesBooleantrue / false per condition
Emergency contactTextR. Alvarez — +1 312 555 0177
Signature presentBooleantrue
Date signedDate2026-07-12

Insurance cards

FieldTypeExample
Member nameTextMaria K. Alvarez
Member IDTextXQH204817744
Group numberTextGRP-88213
Payer / plan nameTextBlueCross PPO
Plan effective dateDate2026-01-01
Copay amountsTextOffice $25 · Specialist $40

Referrals & clinical notes

FieldTypeExample
Referring providerTextDr. S. Patel
Referred-to specialtyTextOrthopedics
Date of serviceDate2026-07-08
Reason as writtenTextRight knee pain, 3 weeks
Handwritten note textTextTranscribed free text

Send medical record data anywhere

One-click integrations to the tools your team already uses. No middleware, no glue scripts.

Who parses medical records with Parsli

Medical records live in different parts of the business — Parsli works for all of them.

Medical & healthcare centres

Automate new-patient onboarding: intake packets are extracted the moment they're scanned, and the structured record is ready to enter into your practice management system — no front-desk re-typing.

Learn more

Front-desk & admin teams

Registration forms and insurance cards arrive on paper all day. Snap or scan them and Parsli returns every field — including the handwritten ones — as clean rows.

Learn more

Medical billing teams

Pull member IDs, group numbers, and payer names from insurance cards and registration forms into your billing spreadsheet or system without re-keying a digit.

Learn more

Why pick Parsli for medical record parsing

Three reasons teams move off manual entry, templates, or traditional OCR.

vs. manual data entry

A front desk re-keying a new-patient packet types the same name, date of birth, and policy number three or four times across systems. Parsli reads the whole packet in seconds and returns every field once — typed, structured, and ready to import.

vs. template-based tools

No two practices use the same intake forms, and even one practice's forms change between revisions. Template tools need a fresh template for every version. Parsli reads any form layout on day one — nothing to maintain.

vs. traditional OCR (Textract, Tesseract)

Traditional OCR returns raw text and struggles with handwriting. Parsli reads the meaning — which checkbox is ticked, which lines are the medication list, what the cursive note actually says — and outputs structured fields your systems can use.

Get started in 30 seconds

No demo call. No sales cycle. Drop a medical record and you'll see structured data the same minute.

1

Sign up free

10 pages free to start. No credit card.

2

Drop a patient packet

Scan, photo, PDF, or email — intake forms, registration forms, insurance cards, referrals.

3

Get clean data

Lands in Google Sheets, Excel, or your practice management system via Zapier, webhooks, or the REST API.

Start free

10 pages free · No credit card

Frequently asked questions

Can Parsli read handwritten patient forms and clinical notes?
Yes. Parsli's AI reads handwriting, including cursive — patient-filled intake forms, handwritten clinical notes, and annotations on printed forms. Clearer writing yields higher confidence scores, and low-confidence fields are flagged so a person can review them before the data flows on.
What can Parsli extract from patient intake and registration forms?
Every labeled field: names, dates of birth, contact details, checkbox answers, medication and allergy lists, emergency contacts, and signature presence. You define the schema once and Parsli reads any version of the form — paper or digital.
Can Parsli extract data from insurance cards?
Yes. Photograph or scan the card and Parsli returns member name, member ID, group number, payer and plan name, and copay amounts as structured fields — ready for your billing spreadsheet or system.
How does extracted data get into my practice management system?
Export to Google Sheets, Excel, or CSV for bulk import, or connect Zapier, Make, webhooks, or the REST API to enter data into your system automatically. Subscribers can also ask us to build a bespoke integration for their specific system.
What is a medical record parser?
A medical record parser reads medical records the way a person would — visually, layout-aware — and outputs structured data fields ready to flow into your accounting software, CRM, or spreadsheet. Unlike template-based OCR, an AI medical record parser doesn't need a fresh template every time a sender changes their layout.
Can I process medical records in bulk?
Yes. Three options: drag-and-drop multi-file upload in the dashboard, forward a batch of emails to your unique Parsli inbox address, or POST documents via the REST API. The output is the same structured JSON regardless of how the medical records arrived.
Does Parsli work with medical records in other languages?
Yes. Parsli runs on Google Gemini 2.5 Pro, which is multilingual out of the box — over 100 languages including all major European, Asian, Arabic, and Cyrillic scripts. Extraction accuracy is highest in English but stays usable across the rest.