MedSnapshot turns lab reports, scans, and clinical PDFs into structured, queryable biomarker data — through a single API built for hospitals, labs, and health-tech teams.
Lab results and checkups end up as paper printouts, PDFs, and photos spread across different clinics. MedSnapshot brings them together: upload a report or a photo, and the service automatically recognizes biomarkers, builds a single health history, and explains what a term or value means and which type of doctor handles it — plus reminders to take a medication or book a follow-up checkup. It never tells you what condition you have or how to treat it.
Everything a care platform needs to ingest, secure, and ship structured health data.
Pulls structured biomarkers and clinical values out of lab reports, scanned PDFs, and free-text notes using computer vision and LLM pipelines.
End-to-end encryption in transit and at rest, HIPAA-aligned data handling, and full audit logging on every access.
A versioned REST API on a Spring Boot backend, designed for high-throughput clinical integrations and predictable latency.
Drop-in client libraries so your team ships on any platform without touching raw HTTP.
An early look at the MedSnapshot mobile app — records, biomarkers, and reminders in one place.

Founder, building MedSnapshot's Spring Boot backend and AI document pipeline. LinkedIn ↗
Join clinical teams and developers building with MedSnapshot before public launch.
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