Veriqos Technologies API platform
Aadhaar OCR API

Aadhaar Card
OCR Extraction

Extract the Aadhaar number, name, date of birth, gender and address straight from a photo of the card, in under a second, with no UIDAI database call involved.

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Aadhaar OCR

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Aadhaar OCR API Details
Full nameMohit Chandra
Emailyc3006@gmail.com
Upload Aadhaar Imageaadhaar_front.jpg
StatusVerified
AddressGround Floor, 169, Delhi, PIN 110054

READY TO GET YOUR API ACCESS?

Fill out the form and our team will get back to you within 24 hours. Start extracting Aadhaar data from document images in seconds.

Benefits of
verifying with our
API

Fast, secure, and compliant verification built for real-world scale.

Instant Field Capture

Name, Aadhaar number, DOB, gender and address are extracted from the image in under a second, no manual data entry.

Works Without a UIDAI Call

Extraction happens entirely from the image supplied, so it never depends on UIDAI endpoint availability.

Cuts Manual Entry Errors

Removes the typos and transposition mistakes that come from an agent keying in Aadhaar details by hand.

Pairs With Aadhaar Verification

Chain the extracted number into the Aadhaar Verification API when you need to confirm the document against UIDAI-backed records.

About the Aadhaar OCR API - Extract Aadhaar Details from an Image | Veriqos

Turn a Photographed Aadhaar Card Into Structured Data

Veriqos Aadhaar OCR API extracts the name, Aadhaar number, date of birth, gender and address directly from a photographed or scanned Aadhaar card. It runs entirely on the image supplied, with no call to any UIDAI endpoint, and is built to sit upstream of the Aadhaar Verification API for teams that also need to confirm the document against a UIDAI-backed source.

Field-Level Confidence

Each extracted field is returned with the OCR engine's confidence, so low-confidence reads can be routed for manual review.

Masked Aadhaar Output

The Aadhaar number in the response is masked to the last four digits by default, in line with Section 8A of the Aadhaar Act.

New to this term? See our glossary definition of Aadhaar Verification API.

Where Teams Use Aadhaar OCR

Trusted across industries for fast, compliant verification.

Customer Onboarding
01

Customer Onboarding

Auto-fill a signup form the moment a customer photographs their Aadhaar card, instead of asking them to type every field.

KYC Compliance Checks
02

KYC Compliance Checks

Capture the demographic fields needed for a KYC record before running a deeper verification step.

Financial Account Verification
03

Financial Account Verification

Pre-fill account-opening forms at banks and NBFCs directly from the applicant's Aadhaar card.

Employee Verification
04

Employee Verification

Speed up HR onboarding paperwork by extracting new-hire Aadhaar details straight from a scanned copy.

How it Works

Send a photo or scan of the Aadhaar card to a single REST endpoint.
Veriqos reads the name, Aadhaar number, DOB, gender and address off the document.
Get the extracted fields back as clean, structured JSON ready to populate your forms or records.
How the Aadhaar OCR API - Extract Aadhaar Details from an Image | Veriqos works

Security &
Compliance

Aadhaar OCR only ever processes the image you send it, so the security model is built around what happens to that image, not around holding a copy of it.

  • No Raw Image Retention: The uploaded document image is processed in memory for extraction and is not retained after the response is returned.
  • Masked Sensitive Fields: ID numbers are masked in logs and billing records, in line with the same masking standards used across Veriqos verification APIs.
  • TLS-Encrypted Transit: Every image upload and response travels over TLS 1.2+, matching the transport security of all Veriqos endpoints.
  • Consent-Bound Processing: Extraction should only be run on a document the end user has knowingly submitted, consistent with Veriqos consent guidance across all products.

Why Choose Us

Sub-Second Extraction

Structured fields come back in under a second, fast enough to sit directly inside a live onboarding form.

No UIDAI Dependency

Extraction runs entirely on the image supplied, so it keeps working even if a UIDAI endpoint is briefly unavailable.

Confidence-Scored Fields

Every field returns with an OCR confidence score, so low-confidence reads can be routed to manual review instead of silently accepted.

Masked by Default

The Aadhaar number in the response is masked to the last four digits automatically, in line with Section 8A of the Aadhaar Act.

Chains Into Full Verification

Feed the extracted Aadhaar number straight into the Aadhaar Verification API when a check also needs to confirm the document against UIDAI-backed records.

No Raw Image Retention

The uploaded document image is processed in memory and is not retained after the response is returned.

Frequently Asked Questions?

FAQ

We offer APIs and tools for identity verification, compliance, fraud prevention, financial assessment, and onboarding automation.

Name, Aadhaar number (masked), date of birth, gender and address, extracted from the uploaded image.
OCR reads data off a photo you supply. Verification separately confirms that data against a UIDAI-backed source. Use OCR to capture data quickly, and Verification when you need to confirm it.
Standard JPEG and PNG photos or scans, including phone camera captures, as long as the printed text is legible.
No. OCR only reads what is printed on the document supplied. Pair it with the Aadhaar Verification API if you need to confirm authenticity.
Yes. A public sandbox at sandbox.veriqos.com lets you upload real Aadhaar document images and see the exact JSON response before you sign a contract.
Yes, extraction works on photos or scans of the physical Aadhaar letter, the PVC card and printed e-Aadhaar, as long as the printed text is legible.
Yes -- it's a standard REST API over HTTPS, so it works from any platform that can make an HTTP call, including React Native, Flutter, or native iOS/Android. There is no dedicated React Native SDK today; integration is a direct API call from your app or backend.
No Raw Image Retention: The uploaded document image is processed in memory for extraction and is not retained after the response is returned. Masked Sensitive Fields: ID numbers are masked in logs and billing records, in line with the same masking standards used across Veriqos verification APIs. TLS-Encrypted Transit: Every image upload and response travels over TLS 1.2+, matching the transport security of all Veriqos endpoints. Consent-Bound Processing: Extraction should only be run on a document the end user has knowingly submitted, consistent with Veriqos consent guidance across all products.
Click "Get Production Keys" on this page and tell us a bit about your use case and expected monthly API volume. Our team will set up your keys and schedule an onboarding call.

What Our Clients Say

Teams in mobility, IT services, hiring, education and technology use Veriqos Technologies to verify people and businesses before they onboard them.

Driver onboarding was our biggest bottleneck. DL, Aadhaar and RC checks now run in one flow, so a new driver can start the same day.
Bharat Taxi
Bharat Taxi
Driver Onboarding Team
Freelancers and clients are verified before any project begins. PAN and GST validation came through a single API, so we never had to build it.
Whizlancer Infotech
Whizlancer Infotech
Platform & Trust Team
Background verification was the slowest step in every placement. Automating identity and employment checks cut our overall turnaround by roughly sixty percent.
Resourcedekho
Resourcedekho
Verification Team
Vendor onboarding had to be quick without being careless. The API-first setup let us plug the checks straight into our existing internal workflow.
Tylect
Tylect
Integrations Team
Our trainers work inside school campuses, so background checks are non-negotiable. Instructor identity and credentials are now verified in minutes, not weeks.
Botixbo
Botixbo
Trainer Onboarding Team

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Trusted By
Our Clients

Teams across mobility, IT services, hiring, technology and education run their identity and business verification on Veriqos Technologies.

Bharat Taxi Mobility
Whizlancer Infotech IT Services
Resourcedekho Hiring & Staffing
Tylect Technology
Botixbo Education

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Getting accurate results from the Aadhaar OCR API

Image quality decides most extraction results. Ask users to photograph the card flat, in good light and without glare, and reject blurred images before you send them. Treat the Aadhaar OCR API output as data to confirm rather than data to trust blindly: show the extracted fields back to the user, let them correct obvious errors, and run a verification check before approval. Mask the Aadhaar number wherever you display or store it, as Aadhaar rules require, and keep only the fields your process needs from the Aadhaar OCR API.

Test a range of real-world photos in the sandbox, including older cards and photos taken at an angle, so you know how your flow behaves before customers see it.

Where the Aadhaar OCR API fits

Use the Aadhaar OCR API to pre-fill onboarding forms from a card photo, which removes typing errors and shortens signup. The Aadhaar OCR API reads what is printed on the card; it does not confirm the card is genuine, so always follow extraction with a verification step that checks the details against an authoritative source before you approve the customer.

More about the Aadhaar OCR API

If you are evaluating the Aadhaar OCR API, you may also find our PAN OCR API and Voter ID OCR API useful, or you can talk to our team about your use case. For the official rules behind it, see the UIDAI website.