Optimizing Data Collection: How to Capture Signatures Without Database Bloat

When collecting field data for public audits, verify signatures are critical to prevent ghost submissions. However, standard signature apps collect entries as base64-encoded PNG images. A single signature image can exceed 500 KB. Multiply that by 10,000 respondents, and your survey database is hit with 5 GB of image files. This causes slow dashboard load times and high hosting storage costs.

Vector Path Compression

LokSpandan AI uses a far cleaner approach. Instead of rendering drawings as image layers, our canvas block logs the exact draw-strokes as compressed coordinate coordinate strings (e.g. `[[10,20],[15,22],...]`). This vector coordinate path is stored directly as a JSON text attribute.

Zero Database Bloat

Because coordinate vectors are text strings, a completed signature requires **less than 1 KB of database space** (compared to 500 KB for PNG files). This allows clients to compile and view thousands of verified submissions instantaneously. Data tables can be saved serverlessly to Google Drive files without exceeding storage limits.

Instant Dashboard Renders

When an admin opens the client dashboard to verify audits, the browser reads the text coordinates and dynamically draws the signatures on screen in milliseconds. This delivers premium loading speed and visual clarity with no image download delays.