Canva was granted a patent for a computer-generated blur effect.

{
  "signal_id": "71ec7850-8c32-5489-8570-b479149214ac",
  "signal_type": "patents-company",
  "signal_subtype": "patentGrant",
  "detected_at": "2026-10-21T15:59:30+00:00",
  "company": {
    "name": "Canva",
    "domain": "canva.com"
  },
  "data": {
    "cpc": [
      {
        "code": "G06T 5/70",
        "label": "Image data processing or generation, in general"
      },
      {
        "code": "G06T 7/11",
        "label": "Image data processing or generation, in general"
      },
      {
        "code": "G06T 7/143",
        "label": "Image data processing or generation, in general"
      },
      {
        "code": "G06T 2207/10024",
        "label": "Image data processing or generation, in general"
      },
      {
        "code": "G06T 2207/20076",
        "label": "Image data processing or generation, in general"
      }
    ],
    "tags": [
      "Intellectual Property",
      "Research & Development",
      "Design & Graphics",
      "Software"
    ],
    "detail": "In October 2026 Canva patented image-processing technology for applying blur effects in online design and graphics-editing tools.",
    "summary": "Canva was granted a patent for a computer-generated blur effect.",
    "event_at": "2026-10-20",
    "inventors": [
      {
        "name": "Christopher James Cook",
        "status": "unresolved",
        "is_primary": true
      },
      {
        "name": "Oliver Daniel Richards",
        "status": "unresolved",
        "is_primary": false
      }
    ],
    "tech_area": "image processing / graphics",
    "event_kind": "grant_date",
    "grant_date": "2026-10-20",
    "source_url": "https://patents.google.com/patent/US12770230",
    "cpc_primary": {
      "code": "G06T 5/70",
      "label": "Image data processing or generation, in general"
    },
    "patent_title": "Systems and methods for implementing a blur visual effect",
    "patent_number": "US12770230",
    "uspto_assignee": "Canva Pty Ltd",
    "patent_abstract": "Described herein is a computer implemented method including: accessing source image data defining a set of source pixels for an image; selecting a first target pixel from a set of one or more target pixels, the set of one or more target pixels corresponding to one or more unique source pixels of the set of source pixels; and generating a first output pixel corresponding to the first target pixel. Generating the first output pixel is by: determining a set of sample points having a sample point distribution within a blur sample area corresponding to an area of the image, wherein the sample point distribution has a central skew towards the first target pixel; determining a set of sample point appearance values based on the sample points and the image; determining a first blur appearance value based on the set of sample point appearance values; and generating the first output pixel based on the first blur appearance value.",
    "precision_class": "structural",
    "invention_explanation": "A method that samples nearby parts of an image to calculate softened output pixels, creating a blur while processing only the pixels needed.",
    "technologies_mentioned": [
      "image processing",
      "computer graphics",
      "pixel sampling",
      "visual effects"
    ]
  }
}

curl https://signals.autobound.ai/v1/signals/71ec7850-8c32-5489-8570-b479149214ac \
  -H "X-API-KEY: $AUTOBOUND_API_KEY"

curl -X POST https://signals.autobound.ai/v1/companies/enrich \
  -H "X-API-KEY: $AUTOBOUND_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"domain":"canva.com","limit":20}'