Extrieve SplicerAI

Aadhaar Masking & Redaction SDK and API

Name: Extrieve Aadhaar Masking & Redaction SDK
Brand: Extrieve

Automated SDK/API to mask Aadhaar numbers from documents.

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Industry Leaders

Need to mask an existing archive, not just new documents? For crores of already-stored KYC images across your DMS, LOS or core-banking attachments, see bulk Aadhaar masking for legacy document archives: on-premise remediation with a per-page audit trail.

Handling personal documents in financial services carries one hard obligation: the Aadhaar number must not sit readable in your systems. RBI's 2019 amendment to the KYC Master Direction requires Aadhaar masking (redaction) when an Aadhaar card is accepted for KYC and IRDAI's 2019 guidance extends the duty to insurers and their agencies. For what the DPDP Rules add for documents you already hold, see whether the DPDP Act requires masking Aadhaar in a legacy archive. Extrieve's Aadhaar masking SDK and API handle this automatically.

As per UIDAI, masking means covering the first eight digits of the number, in physical or digital form, with only the last four left visible. Doing that by hand, page after page, is where operations teams struggle and where automation earns its keep.

What is Aadhaar masking?
Aadhaar masking hides the first 8 digits of the 12-digit number and keeps the last 4 visible, with every other detail on the card untouched. Extrieve’s Aadhaar Redaction Module takes an image file in and returns the masked file, using Splicer image segmentation and OCR.

Aadhaar masking is one module of SplicerAI, Extrieve's document data extraction SDK for KYC and identity documents. See the SplicerAI overview for ID detection, document classification and data extraction.

Aadhaar Masking SDK and API

Extrieve offers a powerful API and tool designed to accept input image files and deliver masked Aadhaar output files. Integrate this solution into your document capture process or use it as a reliable backend process for secure Aadhaar redaction.

Our Aadhaar redaction module uses Splicer Image Segmentation and OCR technology, ensuring superior speed and accuracy compared to conventional masking solutions. For enhanced privacy, the module supports on-premise deployment, eliminating the need to upload Aadhaar images to a cloud server, thereby maintaining data security and compliance.

The same engine also runs at archive scale: for crores of already-stored documents, see bulk Aadhaar masking for legacy archives.

Aadhaar masking demo output from SplicerAI

Aadhaar Masking Features

Supports every Aadhaar document format

Handles all formats of Aadhaar documents. Whether it's a physical scanned copy, a PDF, or a digital image in formats such as JPEG, PNG, or TIFF, our solution ensures compatibility and precise processing. This feature ensures that your applications can effectively mask Aadhaar details across diverse document types, providing reliable data security and compliance with regulatory requirements.

Flexible Deployment Options: Cloud and On-Premise

Offer the flexibility to deploy the solution based on your organizational needs. Whether you prefer the scalability and accessibility of a cloud-based setup or the control and security of an on-premise environment, our solution is designed to adapt. This ensures that businesses of all sizes can integrate and utilize the SDK and API efficiently while meeting their specific infrastructure and compliance requirements.

Efficient Image Compression for Optimized Performance

The SDK and API include image compression technology, designed to reduce file sizes while preserving high-quality visuals. This ensures faster processing speeds, efficient storage, and smooth handling of large-scale Aadhaar document workflows. With optimized compression algorithms, businesses can achieve smaller file sizes without compromising document readability or accuracy. Experience enhanced performance and scalability with our image compression solution built for modern document management needs.

Adjustable Confidence Level Settings for Precise Aadhaar Masking

Customizable confidence-level settings are built in, so you can fine-tune the accuracy of Aadhaar detail detection and masking. With this feature, businesses can ensure highly precise data processing, aligning with their specific requirements. By adjusting the confidence thresholds, you can achieve optimal performance, whether prioritizing speed or accuracy. This flexibility ensures compliance with regulations while delivering reliable and efficient document processing solutions for a variety of use cases.

Benefits of Automated Aadhaar Masking

Regulatory Compliance for Secure Aadhaar Masking

The Aadhaar masking API, SDK and tools are designed to support compliance with regulatory guidelines, offering a secure and efficient solution for Aadhaar data masking. By adhering to stringent government-mandated data protection and privacy standards, our platform safeguards sensitive Aadhaar information during processing. With features like on-premise deployment, businesses can securely manage Aadhaar documents while maintaining complete control over their data. Stay compliant and secure with Extrieve’s advanced Aadhaar masking technology.

Reduce Operational Costs with Efficient Aadhaar Masking

The Aadhaar masking API, SDK and tools streamline document processing, enabling businesses to reduce operational costs significantly. By using advanced technologies like Splicer Image Segmentation and OCR, our solution enhances efficiency and accuracy, minimizing manual intervention and resource usage. With flexible deployment options, including on-premise setups, businesses can optimize infrastructure costs while maintaining secure and compliant Aadhaar data processing.

Beyond the SDK

Masking an existing archive in bulk?

The SDK and API on this page mask documents as they are captured. If your institution already holds crores of scanned KYC pages with readable Aadhaar numbers, that stored estate needs its own treatment: an on-premise remediation service with a per-page audit trail, plus registry-side context for CKYC uploads.

FAQ

Questions developers ask

How do I integrate Aadhaar masking into my application?

Two routes. Backend flows call the REST API: send the document image or PDF, receive the masked file back. Capture flows embed the SDK, so masking happens inside the journey itself before the document is submitted. Both run the same detection engine, and both return output ready for storage.

Which platforms does the SDK support?

Android, iOS and Windows for on-device use, with server-side deployment on Windows or Linux and a REST endpoint for everything else. Input formats cover JPEG, PNG, TIFF and PDF, including multi-page documents.

Can the number be masked on the phone itself during capture?

That is the point of the mobile SDK: detection and redaction run on the handset while the document is being captured, and only the masked image travels onward. It also works offline, which keeps field and branch capture moving where connectivity is poor.

We hold millions of already-scanned documents. Is this the right product?

Not this one alone. For stored estates, Extrieve packages the same engine as an on-premise bulk remediation service that works through your archive with a per-page audit trail. The bulk Aadhaar masking page covers it end to end, including hardware sizing and storage savings.

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