Zipwire Documentation
Visit Zipwire
  • πŸ‘‹Welcome to Zipwire
  • Overview
    • πŸ’‘What is it?
    • πŸ™‹β€β™€οΈWho can use it?
    • ✨Our Features
    • πŸš—Can I test drive it?
      • πŸ“¦Setting up Zipwire Approve
      • πŸ“₯Setting up Zipwire Collect
    • πŸ”‘Logins & Invitations
    • 🐒Zipwire Collect: Rapid Onboarding, Effortless Compliance
    • πŸ’ΎData Ownership in Zipwire
  • Zipwire Approve
    • πŸ…How Zipwire Approve is radically different and speeds up pay day
    • β›”Why we don't track start and end times
    • πŸ“¦Unboxing key concepts
      • πŸ“œAccounts
      • ⏲️Timesheets
      • πŸ‘·Senders
      • 🚦Approvers
      • πŸ‘‘Processors
      • ‡️Workflows
      • 🏷️Assignments
      • πŸ“Billing Plans
      • πŸ’±Rate Plans
      • πŸ“¬Teams & Inboxes
      • 🏒Workplaces
      • πŸ›‘οΈClients
      • ✍️The Journal
      • 🀸Activities
      • πŸ’ΈPayment Methods
    • πŸ”²Logical structure
    • πŸ› οΈSet up your workplace
    • πŸš₯Processing stages
    • πŸ’΅Understanding invoicing
    • 🏷️Using assignments
      • πŸ–οΈHoliday assignment
  • Zipwire Collect
    • πŸ—„οΈEffortless Document Collection for Any Need
    • 🟒Get Started
    • 😭IDSP, IDVT, KYC, KYB and AML
      • 🀳Selfie Checks Powered by Yoti
      • ⛓️Blockchain Attestations
    • πŸ“„Using Packs
    • πŸ€–Machine Vision
      • 🀷Failure to Recognise
      • πŸͺͺDocument Types
    • ✍️Manual Entry for Streamlined Information Gathering
    • ✨Creating a Collection with AI
    • πŸ‘€What the Respondent Sees at Their End
    • ♻️Lifecycle of a Collection
    • 🚚Bulk Upload
    • πŸ”Document Inspection
  • Fundamentals
    • πŸ›‘οΈSecurity
      • πŸ“²Authenticator mobile apps
      • πŸ”Two factor in Zipwire
      • Wallet Connections
      • Sign-in with Ethereum
      • Attestations
        • Potential for Sleeper Wallets on Ethereum
  • Use Cases
    • 🎭Identity Checks - Right to Work
    • πŸͺͺCompliance - Know Your Customer
    • 🎨For Senders
      • πŸ’¬Sending journal updates via WhatsApp
      • πŸ€Έβ€β™‚οΈNaming activities
      • ✍️Tracking time in your Journal
      • ⏲️Send your first timesheet
    • πŸ“±Tracking time via WhatsApp
    • πŸ–₯️For Approvers
      • πŸ’¬Approving timesheets via WhatsApp
  • Troubleshooting
    • πŸ”€Tangled Identities
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  1. Zipwire Collect

Machine Vision

We've already covered how Zipwire Collect simplifies document collection with powerful packs, but here's the real secret weapon: Machine Learning.

Effortless Uploads, Smarter Processing:

  • Machine Vision: Zipwire Collect utilizes cutting-edge Machine Vision technology. When workers upload documents (even via WhatsApp!), Zipwire can analyze them to understand what they are (passport, driver's license, etc.).

  • Large Language Models: We don't stop at just identifying the document. Zipwire's Large Language Models extract key information from the document itself, like names, expiry dates, and ID numbers.

  • Bulk Uploads Made Easy: Need to upload a bunch of documents? No problem! Zipwire can handle bulk uploads from folders, letting us sort through everything at once.

  • Pre-Filled Information: Ever uploaded the same document twice? Zipwire Collect securely stores past documents, allowing us to pre-fill information for future collections. This means faster onboarding for repeat workers and less data entry for everyone.

Faster Response Rates, Reduced Friction:

These Machine Learning features combine to create a smoother, faster onboarding experience:

  • Reduced Back-and-Forth: Zipwire figures out what documents are needed and extracts relevant information, minimizing the need for clarification or additional uploads.

  • Faster Processing: Bulk uploads and pre-filled information streamline the collection process, leading to quicker onboarding times.

  • Improved Worker Experience: A faster, more intuitive process creates a positive first impression for your contract staff.

Zipwire Collect leverages Machine Learning to make document collection a breeze, freeing you to focus on building a strong and compliant workforce.

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Last updated 1 year ago

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