Zero Upload. On-device inference. Open-source stack.

Sensitive Data AI WorkspaceIn Your Browser

PrivaKit keeps sensitive files on your device while running WebGPU-capable on-device AI for OCR, transcription, image cleanup, and ID workflows. No cloud handoff for contracts, invoices, portraits, or confidential recordings.

Your device is the AI server.

Your files never leave your deviceOffline after model downloadOpen-source, inspectable stack
Risk line

Some files should never be your next upload

The strongest reason to use local AI is not convenience. It is reducing the number of times sensitive content touches someone else's infrastructure.

ID photos

Employee onboarding, visa applications, and internal records often include faces, names, and official identity context.

Raw portraits

Model shots, team headshots, and executive portraits are easy to retouch but hard to retract once uploaded.

Employment contracts

Contracts usually contain compensation, addresses, signatures, and personal identifiers that should stay on-device.

Procurement contracts

Vendor pricing, internal clauses, and negotiation notes can be commercially sensitive long before a deal is signed.

Invoices and receipts

Finance documents often expose bank details, supplier relationships, and internal cost structure.

Meeting recordings

Board discussions, client calls, and legal reviews often contain the exact context you do not want leaving the browser.

Use-case templates

These files should not be casually uploaded to the cloud

ID photos, contracts, invoices, meeting recordings, and client files can become privacy, compliance, and leakage risks the moment they enter a third-party server. Choose a scenario and process them locally in your browser.

HR onboarding

HR intake packet processing

Input: employee portraits, ID images, signed forms. Use local ID photo formatting and OCR so onboarding files never need to transit a cloud AI tool.

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Legal ops

Law firm case material cleanup

Input: scanned evidence, contracts, recorded calls. Use OCR, transcription, and enhancement to prepare text and visuals without exposing client material.

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Finance desk

Invoice and receipt extraction

Input: invoices, receipts, reimbursement scans. Use OCR and enhancement locally before exporting data into your accounting workflow.

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Asset ops

E-commerce asset cleanup

Input: product shots and marketing assets. Remove backgrounds and upscale locally when you want fast edits without losing control of source images.

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How the privacy boundary works

PrivaKit uses a simple, auditable flow: download the model, run inference on-device, export the result you need.

1

Download model files once

The browser fetches the required model package, usually around 30MB to 100MB depending on the workflow, then caches it locally for future runs.

2

Run inference on-device

Your browser uses local compute paths such as WebGPU where available, with stable browser-side fallbacks when needed. Inputs and outputs stay inside the device instead of being sent to our servers.

3

Export only the result

Download the cleaned image, extracted text, or transcript you need. Nothing is stored in a cloud workspace by default.

Built for teams that cannot casually upload files

Use PrivaKit for ID photos, contracts, invoices, and meeting recordings when the easiest cloud workflow is also the riskiest workflow.

Your device is the AI server.

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