Hash Network Documentation
Website
  • About Hash Network
    • What is Provenance
    • Why Provenance Matters?
    • Why Hash Network Exists?
    • How Hash Network Solves These Problems?
  • Hash Netwok Provenance
    • Use Cases
      • Provenance For AI Agent Actions
      • Provenance In Camera
      • Provenance In Editing Tools
      • AI Generated Content
      • Other Use Cases
    • Provenance SDK
    • Provenance Contract
    • Provenance Schema
    • JSON Example
    • Verify SDK
    • Verify API
    • Architecture Overview
    • Supported Media Formats
    • Reputation System
    • Hash Verify - Chrome Extension
  • C2PA Standard
    • Overview
    • Manifest
    • Assertion
    • Action
    • Ingredient
    • Compatibility with Hash Network
  • Hash Network Playground
    • Provenance for AI generated Content
    • Register Content's Provenance Onchain
    • Verify provenance of content
  • Using Hash Network Chain
    • Network Information
    • Adding Network To Metamask
    • Contracts
    • Bridges
    • Block Explorer
    • Faucet
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  1. Hash Netwok Provenance
  2. Use Cases

Provenance In Editing Tools

Content editing tools, whether for images, videos, or documents, are widely used across industries for producing high-quality digital content. However, the proliferation of editing tools has made it increasingly difficult to determine whether the content is original or modified. Hash Network can address this by integrating provenance tracking into editing tools:

  • Track Modifications: Every modification made to a piece of content—whether an image, video, or text—is recorded on-chain. This includes cropping, color adjustments, text additions, or any other edits that alter the content’s integrity.

  • Version Control: Hash Network’s provenance system ensures a transparent version history, where each change is linked to its predecessor. Users can trace the evolution of the content and see exactly how it was altered over time.

  • Attribution of Edits: Editing tools can assign credits to users who made the changes, establishing clear accountability and attribution for the work.

  • Prevention of Misuse: With a tamper-proof record of edits, creators can prove that their work has not been fraudulently altered. This is particularly useful in preventing deepfakes or manipulated media from spreading in the digital space.

Provenance in editing tools ensures that the integrity of the original content is preserved and provides a transparent history of all modifications, preventing content manipulation and ensuring proper attribution.

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Last updated 5 months ago