HtmlrenderWebkitHeadlessProtoPdf

AI Overview😉

  • The potential purpose of this module is to render and process PDF files in a headless WebKit environment, allowing Google's algorithm to analyze and understand the content of PDF files, which are often difficult for search engines to crawl and index.
  • This module could impact search results by allowing Google to better understand the content of PDF files, which could lead to more accurate and relevant search results for users searching for specific topics or keywords. It could also enable Google to index and rank PDF files more effectively, making them more discoverable in search results.
  • To be more favorable for this function, a website could ensure that their PDF files are optimized for search engines by including relevant metadata, such as titles, descriptions, and keywords, and by making sure that the PDF files are easily crawlable and indexable. Additionally, using clear and descriptive file names, and providing a clear structure and organization to the PDF files, could also help Google's algorithm to better understand and analyze the content of the PDF files.

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GoogleApi.ContentWarehouse.V1.Model.HtmlrenderWebkitHeadlessProtoPdf (google_api_content_warehouse v0.4.0)

Attributes

  • data (type: String.t, default: nil) - The binary PDF data.

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

Link to this type

t()

@type t() :: %GoogleApi.ContentWarehouse.V1.Model.HtmlrenderWebkitHeadlessProtoPdf{
  data: String.t() | nil
}

Functions

Link to this function

decode(value, options)

@spec decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.