Traditional digital signature platforms have two major issues: privacy and cost.

To sign a document, you have to upload sensitive agreements to a third-party server. And as a developer, running server-side document rendering and signatures can lead to heavy API bills and database management overhead.

At Ananta Labs, we wanted to see if we could build a completely secure, contactless alternative that runs entirely on the client side using browser-native AI.

Here is how we built AirSign.

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The Architecture: 100% Client-Side

Instead of hosting heavy machine learning models on a GPU server, we compiled our hand-tracking models to run locally inside the user's browser.

1. Gesture Capture: We utilized MediaPipe's hand-landmarker models compiled into WebAssembly. This allows the browser to track 21 3D hand coordinates in real-time at 30 FPS using a standard webcam.
2. Contactless Canvas: Using WebGL, we map the index finger coordinate to a HTML5 canvas. We implemented a custom interpolation algorithm to smooth out hand jitter and render a fluid, realistic signature line.
3. Local PDF Stamp: Once the user finishes drawing their signature in the air, we generate the final document. The signature coordinate vector is parsed and stamped onto the PDF using a client-side library.

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Why this is the Future of AI Integration

By moving the computation from the server to the client:

• Absolute Privacy: 0 video frames, coordinate points, or document bytes are transmitted to any database.
• Zero Server Overhead: The hosting cost for this app is exactly $0 since it runs on the user's CPU/GPU.
• Instant Load Times: Zero network latency during signature interpolation.

Try it Yourself

AirSign is completely open and free to test. We’d love to hear your feedback on the hand-tracking latency and mobile performance:

👉 Try AirSign: https://airsign-red.vercel.app/
👉 Explore our work: https://anantalabs.app/