About
Veryfi is a powerful OCR (Optical Character Recognition) API designed to streamline the process of data extraction from various document types such as invoices, bills, purchase orders, checks, and receipts. It offers a mobile SDK that allows developers to integrate document capture capabilities into their applications seamlessly. With Veryfi, users can liberate trapped data in unstructured documents in real-time, enabling efficient processing and management of financial transactions.
Veryfi's advanced technology leverages machine learning algorithms to ensure high accuracy in data extraction, making it an ideal solution for businesses looking to automate their document management processes. The platform supports a wide range of document types and is designed to handle large volumes of data, providing users with the flexibility and scalability they need to grow their operations.
In addition to its core data extraction features, Veryfi offers a suite of tools and add-ons that enhance its functionality. These include fraud detection, workflow automation, and a customizable AI camera for mobile devices. This comprehensive approach ensures that businesses can not only extract data but also manage it efficiently, reducing manual effort and minimizing errors.
Veryfi places a strong emphasis on security and compliance, making it suitable for organizations that handle sensitive financial information. With certifications such as SOC 2 Type 2, HIPAA, and GDPR compliance, users can trust that their data is safe and secure.
Overall, Veryfi is an innovative solution that empowers businesses to take control of their document processing needs, making it easier to access and utilize critical data for decision-making and operational efficiency.
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Use Cases
- Automating expense management
- Streamlining invoice processing
- Real-time document capture
Target Audience
Pricing Plans
Free
Process up to 100 docs/mo
Starter
$500/mo minimum Good for < 5k docs per month
Technical Details
- API Documentation
- https://www.veryfi.com/docs
- Integration Support
- ZapierSlackQuickBooks
- Platforms Supported
- WebiOSAndroid
- Security & Compliance
- SOC 2 Type 2HIPAAGDPR
- Uptime Status
- View Status Page
Performance Metrics
- Response Speed
- Fast
- Accuracy Score
- 9/10
- Stability Score
- 8/10
- Scalability
- High
AI-Specific Features
- Model Used
- Deep Learning
- Architecture Type
- Microservices
- Training Data Cutoff
- 2023-10
Company Information
- Headquarters
- San Francisco, CA
- Team Size
- 50
- Founders
- Liron Shapira, Aviad Peled
Alternatives
Quick Info
- API
- Available