Aadhaar Card Parser API is the missing link between fast digital onboarding and India’s paper-first reality.
In India, every fintech app, lending platform, and insurance product needs to know its customer — and know them fast. But there’s one thing that keeps slowing everyone down: manual Aadhaar data entry.
Users upload a scanned Aadhaar card. Someone on the backend squints at the image, types in the name, DOB, and Aadhaar number. Sometimes it’s accurate. Often, it’s not. The result?
And this isn’t a one-off problem. It happens thousands of times a day across platforms — costing time, trust, and growth.
That’s exactly why we built the Aadhaar Card Parser API — a simple, reliable solution that reads Aadhaar cards the way your ops team wishes they could: quickly, accurately, and without needing a second look.
If your users are uploading IDs, and you’re still relying on manual input or error-prone OCR, you’re not just slowing down. You’re losing users before they ever become customers.
It’s time to automate KYC the right way — with a tool purpose-built for India’s most widely used identity document.
Aadhaar Card Parser API is a simple tool with a powerful job:
It reads scanned Aadhaar cards — and gives you clean, structured data like name, date of birth, Aadhaar number, gender, and address — instantly.
Just send an image or PDF of the Aadhaar card to the API. In return, you get back ready-to-use JSON data that plugs directly into your KYC, onboarding, or user verification flow.
It supports:
No more typing from screenshots. No more cleaning up garbled OCR output. The Aadhaar Card Parser API does the heavy lifting — so your app can move faster, with fewer errors and happier users.
If your platform depends on Aadhaar uploads, this isn’t a “nice to have.” It’s a smarter, faster way to get verified data — without the manual mess.
Fintech moves fast — but regulations are non-negotiable. That’s why teams across lending, insurance, payments, and onboarding platforms trust the Aadhaar Card Parser API to bridge the gap between speed and compliance.
Built with Indian regulations in mind, it helps meet RBI, SEBI, and DPIIT KYC norms by ensuring accurate Aadhaar data capture and privacy-safe output, including masked Aadhaar numbers.
Manual Aadhaar entry can take minutes. The API processes documents in seconds, helping you onboard users faster and reduce drop-offs.
Avoid mismatches, typos, and failed verifications. The Aadhaar Card Parser API returns clean, structured data that’s ready for validation and compliance checks.
No typing, no guesswork. Users upload their Aadhaar card, and your app fills in the rest — quickly, accurately, and without friction.
In a country where identity verification is critical and onboarding speed is everything, the Aadhaar Card Parser API is the quiet engine behind many of India’s fastest-growing digital platforms.
The Aadhaar Card Parser API is designed for easy, fast, and accurate extraction of Aadhaar details. Here’s how it works:
bash
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curl –location ‘https://api.azapi.ai/ind0001d’ \
–header ‘Authorization: prod-XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX’ \
–form ‘front=@”C:/ocr/ocr/all_aadhaar/high/1.jpg”‘ \
–form ‘back=@”C:/ocr/ocr/all_aadhaar/high/2.jpg”‘
json
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{
“name”: “RAVI KUMAR”,
“aadhaar_number”: “XXXX-XXXX-1234”,
“dob”: “1992-08-16”,
“gender”: “Male”,
“address”: “123, Gandhi Nagar, Patna, Bihar – 800001”,
}
You can pass just the front side if the back isn’t needed. The API is flexible, lightweight, and optimized for real-world usage — no preprocessing or clean-up required on your end.
The Aadhaar Card Parser API isn’t just for fintech onboarding — it powers fast, secure identity verification across sectors:
Speed up KYC and reduce drop-offs by extracting Aadhaar data instantly during user registration.
Allow field staff to verify leads or customers on the go — even with low bandwidth or offline-first workflows.
Verify gig workers and delivery agents quickly without manual data entry or onboarding delays.
Prevent impersonation in remote exams or course access by verifying Aadhaar instantly before allowing access.
Capture patient details in clinics or digital health apps quickly and accurately, even in underserved areas.
From compliance to convenience, the Aadhaar Card Parser API helps you bring fast, reliable verification to wherever your users are — not just in the app, but in the real world.
When dealing with sensitive identity data, privacy isn’t optional — it’s foundational. The Aadhaar Card Parser API is built with robust data protection principles to ensure your users’ information stays safe, private, and compliant.
All data is transmitted over secure HTTPS using industry-standard encryption protocols. No information is ever exposed in transit.
We don’t store Aadhaar images or parsed data. Each request is processed in-memory and discarded immediately after the response is delivered.
The API is designed to work within consented workflows — whether it’s app-based onboarding or field data collection — putting user rights and control first.
Our practices are aligned with India’s Digital Personal Data Protection (DPDP) Act, 2023 — and are structured to meet evolving legal standards for personal data processing.
Whether you’re integrating for fintech, healthcare, logistics, or education, you can move fast without compromising on trust. With the Aadhaar Card Parser API, security and compliance are built-in — not bolted on.
The Aadhaar Card Parser API doesn’t just process documents — it drives measurable improvements across your funnel.
Automated Aadhaar parsing reduces KYC processing time from minutes to seconds — saving support bandwidth and operational costs.
Eliminate typos, mismatches, and rejections caused by manual data entry. Clean, structured JSON ensures downstream systems work smoothly.
Frictionless verification means users move through onboarding faster — leading to improved acquisition, better activation, and more completed signups.
Whether you’re scaling to your next million users or tightening your KYC workflows, this API delivers clarity, speed, and trust — right where your business needs it most.
In fintech and KYC, time is money — and trust is everything. The Aadhaar Card Parser API helps you earn both.
From faster onboarding to fewer errors and compliant processing, it’s not just a tool — it’s infrastructure for modern Indian businesses.
No friction. No guesswork. Just clean, verified Aadhaar data — in seconds.
Ans: The Aadhaar Card Parser API is a tool that extracts structured data (like name, date of birth, Aadhaar number, address, and gender) from scanned Aadhaar card images or PDFs. It supports both front and back sides, and returns clean JSON output instantly.
Ans: The Aadhaar Card OCR API is specifically trained to read the format and fonts used in Aadhaar cards. Unlike general OCR tools, it handles watermarks, low-quality scans, and layout variations reliably.
Ans: Yes. The Aadhaar OCR API accepts both front and back images or PDFs, identifies them automatically, and parses data accordingly — including address from the back side.
Ans: Yes. The Aadhaar Card OCR operates with encrypted data transmission, does not store any user data, and supports consent-based processing, making it compliant with India’s data privacy norms.
Ans: The Aadhaar OCR supports JPEG, PNG, and PDF formats. You can upload scanned Aadhaar card files through the API and get instant, structured results.
Ans: Absolutely. The Aadhaar OCR API is built to scale — fintechs, logistics firms, EdTechs, and healthcare companies already use it to onboard thousands of users daily with minimal friction.
Ans: It’s built specifically for Indian Aadhaar cards. That means high accuracy on names, DOBs, Aadhaar numbers, and addresses — even in noisy scans or mobile uploads.
Ans: The Aadhaar OCR API includes preprocessing steps to clean up noisy or low-res images before running OCR. It performs well even when input quality isn’t perfect.
Ans: Basic familiarity with APIs is helpful. You simply pass image/PDF files via a simple curl request or within your application, and the API returns structured data. Clear documentation is available to guide you.
Ans: You can try the demo, view the full API documentation, or contact the team for pricing and integration support.