Medical records, digitised

Every parcha.
Perfectly understood.

India's health records are handwritten, photographed and filed away unreadable. Parcha turns any of them into structured, verified data — in seconds, at a fraction of what it costs to read them by hand.

A real handwritten hospital prescription with identifying details removedWhat you have

A real hospital prescription. Patient, doctor and clinic details removed before publishing.

Structured recordFHIR R4 ready
Inj. LIPOSOMAL AMPHOTERICIN B99%
350 mg · daily · 28 daysLiposomal Amphotericin B
Inj AMPHOTERICIN - B.99%
70 mg · daily · 28 daysAmphotericin B
INJ. ISAVUCONAZOLE99%
200 mg · 1-1-1 · 14 daysIsavuconazole
capsule ISAVUCONAZOLE99%
200mg · 1-0-1 · 2 daysIsavuconazole
Read in 36s · 4/4 medicines matched · 8 fields sent for a human to confirm
What you get

A real prescription from an Indian hospital — and the actual, unedited record Parcha produced from it.

The hidden cost

Somebody is reading all of it by hand.

At an insurer or a TPA, every claim means a person squinting at a discharge summary, a bill and a stack of prescriptions. It costs ₹30–50 a document, it is slow, and it is where errors quietly enter the system.

8,000
documents a month
a mid-size claims team
₹3.2 lakh
spent reading them
every single month
₹48,000
the same month with Parcha
reviewers check only the 10–15% flagged

Why people trust it

It tells you when it isn't sure.

In the prescription above — four antifungals in all-capital handwriting, on a form nobody designed for a computer — Parcha read every medicine correctly and matched all four to their generic composition. On a Mumbai clinic's parcha it resolved Lanol-ER to Paracetamol and Dompan to Domperidone, straight from the handwriting.

And on a genuinely illegible one, it does the opposite of pretending: it read the medicine, reported just 28% confidence, and sent every field for a human to confirm. See that one →

That is the whole design. A wrong dose is not a software bug — it is a patient-safety event. So nothing uncertain ever slips silently into your data.

What your reviewer sees
Metadateconfirm

Handwriting was hard to read · not found in the Indian medicine database

iii q dayconfirm
Strength10 mg
How to takePO — by mouth
1,85,000

Indian medicine names, verified — not guessed.

Dolo becomes Paracetamol. Azithral becomes Azithromycin. Zerodol SP becomes Aceclofenac with Paracetamol. Every match is chosen from a real database of Indian brands — the system is not able to invent a medicine that doesn't exist.

Dolo 650ParacetamolAzithral 500AzithromycinOmez 20OmeprazoleMoxikind-CVAmoxycillin + Clavulanic AcidZerodol SPAceclofenac + Paracetamol

What it reads

Four kinds of paper. One clean output.

Prescriptions

Handwritten or printed. Brand names resolved to their generic composition.

Lab reports

Every value with its unit and reference range, flagged high or low.

Discharge summaries

Admission and discharge dates, procedures, and the medicines advised on leaving.

Hospital bills

Line items and totals — with the arithmetic checked against itself.

However it arrives

Photograph it. Upload a thousand. Or just say it out loud.

Photograph

A doctor holds up a phone in the OPD. One tap, and the record exists.

Bulk upload

Send the archive. Hundreds of documents process in the background, with per-document status.

Dictate

Speak the prescription in Hindi or English. Parcha writes it up — Indian brand names and all.

Who it's for

Built for whoever is drowning in paper.

Insurers & TPAs

Your claims team reads discharge summaries, bills and prescriptions by hand. Get structured data your adjudication system can act on — and bills whose totals don’t match flagged before they’re paid.

Diagnostic labs

Reports leave as PDFs and lose all structure. Capture them as data, and become discoverable on India’s ABDM network without writing any code.

Hospitals

Decades of paper in the records room, and rising pressure to digitise. Bulk-process the archive; issue new prescriptions as verifiable digital parchas on your own letterhead.

Health-tech teams

One API instead of an in-house OCR project. Send a document, get FHIR back, with confidence scores you can route on.

Send us your worst document.

The messiest parcha, the longest discharge summary, the bill nobody can reconcile. We'll run it through and show you exactly what comes back — no commitment.

Prefer email? Write to [email protected]

We only use this to reply. No newsletters, no sharing. Or email [email protected].