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Cradl AI

4.2
💬739
💲Paid

Cradl AI simplifies document processing by automating data extraction using AI and LLMs. Users can train models, create workflows, and integrate solutions without coding. It supports a wide range of document types and ensures accuracy through human validation and self-improving AI.

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Platform
web
AIAPIAutomationData extractionDocument parsingEmail processingIntegrations

What is Cradl AI?

Cradl AI is an AI-powered document automation tool designed to streamline data extraction from PDFs and emails. It offers a no-code platform that enables users to build custom workflows, integrate with various platforms via APIs, and automate repetitive document processing tasks. Ideal for individuals and teams, it leverages large language models (LLMs) for high-accuracy parsing and includes human-in-the-loop validation for error correction.

Core Technologies

  • Artificial Intelligence
  • Large Language Models (LLMs)
  • API Integration
  • Machine Learning
  • No-code Automation
  • Workflow Automation

Key Capabilities

  • AI-driven document parsing
  • Customizable model training
  • Human-in-the-loop validation
  • Automated workflow creation
  • Multi-platform integration
  • Data extraction from PDFs and emails

Use Cases

  • Invoice processing automation
  • Receipt data extraction
  • Bank statement analysis
  • Trade confirmation handling
  • Cargo insurance document automation
  • Tax form processing (e.g., W9)
  • Proof of address verification

Core Benefits

  • Reduces manual data entry time
  • High accuracy with continuous learning
  • Secure and GDPR-compliant
  • Easy integration with existing systems
  • Supports automation at scale
  • User-friendly interface for non-developers

Key Features

No key features provided.

How to Use

  1. 1
    Upload documents like PDFs or emails
  2. 2
    Train the AI to extract specific data fields
  3. 3
    Create automated workflows using the builder
  4. 4
    Integrate with other platforms via API or no-code tools
  5. 5
    Review and validate uncertain predictions manually

Pricing Plans

Individual

$50/month (monthly) or $40/month (yearly)
For individuals looking to save hours on data entry work. Includes 500 pages per month, 1 user, 2 projects, Human-in-the-loop UI, Workflow builder, Automatic AI training, All integrations, Basic support.

Team

$350/month (monthly) or $250/month (yearly)
For organizations ready to supercharge their document automation. Includes everything on Individual plus: 5000 pages per month, 5 users, 5 projects, Advanced validation rules, Custom data retention, Priority support.

Enterprise

Contact us
For teams with advanced security, compliance and support needs. Includes everything on Professional plus: Volume discounts, SSO & role-based access controls, Customer success manager, Custom billing options, Premium support & SLAs.

Frequently Asked Questions

Q.What document formats does Cradl AI support?

A.Cradl AI handles complex PDFs, emails, and documents with tables, line items, and diverse layouts.

Q.How accurate is Cradl AI's data extraction?

A.It uses certainty scores and allows manual review thresholds to ensure high accuracy and continuous improvement.

Q.Is coding required to use Cradl AI?

A.No coding is needed, but developers can integrate easily via APIs if preferred.

Q.How does Cradl AI protect user data?

A.It complies with GDPR, offers full data control, and never shares or reuses customer data for general AI training.

Q.Can I upgrade or downgrade my plan?

A.Yes, you can upgrade anytime; downgrades take effect at the next billing cycle.

Pros & Cons (Reserved)

✓ Pros

  • No-code platform, easy to use
  • High accuracy with self-improving AI models
  • Integrations with popular platforms
  • Human-in-the-loop validation for error handling
  • Customizable AI using LLMs
  • Templates for quick start
  • Secure and compliant with GDPR
  • Full control over data

✗ Cons

  • Pricing may be high for small businesses
  • Accuracy depends on AI model performance
  • Advanced integrations may require technical knowledge

Alternatives

No alternatives found.