Train extraction models on your specific documents

Upload sample documents, annotate the fields you need, and Cradl builds a custom extraction model. The platform handles variations in layout, font, and quality without requiring retraining from scratch. Teams can iterate quickly by correcting mis-extractions and feeding corrections back into the model.

Business outcome: Reduce manual data entry time by 90% for recurring document types within two weeks of setup.

Built-in human review for edge cases

Documents that fall below confidence thresholds are automatically routed to a human review queue. Reviewers can correct fields with a single click, and those corrections improve the model for future documents. This hybrid approach maintains accuracy without requiring 100% human oversight.

Business outcome: Achieve 99%+ accuracy on production documents while only reviewing 10-20% of pages manually.

API-first architecture for existing workflows

Cradl exposes a REST API that connects directly to your ERP, CRM, or accounting software. The platform supports webhooks for real-time processing triggers and batch uploads for high-volume scenarios. Pre-built connectors reduce integration time compared to building from scratch.

Business outcome: Deploy document automation into existing systems without replacing your current tech stack.

Handles complex and low-quality documents

Unlike template-based OCR tools, Cradl uses computer vision to understand document structure regardless of layout variations. It processes rotated pages, skewed scans, handwritten notes, and poor-quality photocopies that break traditional extractors. This capability is critical for industries like logistics where document quality is unpredictable.

Business outcome: Process 95% of incoming documents automatically, including those that would require manual handling with other tools.

Audit trails and data governance controls

Every document processed through Cradl generates a complete audit trail showing what was extracted, when, and by which model or human reviewer. The platform supports role-based access controls and data retention policies. This makes it suitable for regulated industries that require demonstrable processing integrity.

Business outcome: Meet compliance requirements for document processing without building custom audit infrastructure.

Real-time processing for time-sensitive documents

Most documents process in under two seconds, enabling real-time data extraction for time-sensitive workflows like invoice approvals or shipment clearance. The platform scales horizontally to handle volume spikes without degradation. Batch processing supports thousands of documents in a single upload.

Business outcome: Eliminate processing backlogs and enable same-day turnaround on document-dependent workflows.

• Built-in guardrails and human-in-the-loop reviewCradl AI provides out-of-the-box features like confidence scores, anti-hallucination, and a human review UI to catch bad outputs before they become bad data. This ensures reliable, production-grade automation at scale.
• Native integrations with major automation toolsDeploy directly into Zapier, n8n, and Power Automate with ready-made integrations. No custom infrastructure required. Also supports Webhook, Gmail, Excel, and Make.
• Self-learning and customizable validationCradl AI improves accuracy over time with feedback and allows you to add validation logic specific to your business. Monitoring tracks performance, accuracy, exceptions, and processing volumes in real time.
• Trusted by startups and Fortune Global 500 enterprisesFrom lean startups to global agencies, teams automate critical document workflows with Cradl AI. Equinor, a Fortune Global 500 company, went from idea to production in under a day, automating manual work and improving data quality.

• Pricing plans and page limitsThe Free plan includes up to 50 pages per month, 1 agent, and 1 seat. The Builder plan costs $50/month (or $40/month billed yearly) for up to 500 pages, 2 agents, and 2 seats. The Pro plan costs $300/month (or $240/month billed yearly) for up to 5000 pages, 5 agents, and 5 seats. Enterprise has custom pricing.
• Feature availability across plansTable Extraction, Workflow Builder, and all integrations are available on all plans. Priority Support is only on Pro and Enterprise. Service Level Agreement is only on Pro and Enterprise. Data Retention Controls are only on Pro and Enterprise. Role-based Access Control, Single Sign-On, and Custom Billing are only on Enterprise.
• Integrations listed on the websiteThe website explicitly lists Webhook, Gmail, Excel, Make, Zapier, Power Automate, and n8n as native integrations. No other integrations are mentioned on the scraped pages.
• Customer testimonial sourceThe only customer testimonial shown is from Frode Skjæveland, Improvement leader at Equinor. No other customer names or quotes are provided in the scraped content.

Accounts payable automation

Process incoming invoices from hundreds of vendors, each with different layouts. Cradl extracts line items, totals, and tax amounts into your accounting system. Teams can train a single model on 50 sample invoices and achieve reliable extraction across all vendors.

Insurance claims processing

Claims arrive as varied forms, medical reports, and adjuster notes. Cradl extracts policy numbers, dates, and claim amounts regardless of format. Low-confidence documents route to human reviewers who correct fields and improve the model.

Logistics document handling

Shipping manifests, bills of lading, and customs declarations arrive in unpredictable quality. Cradl processes these documents in under two seconds, enabling real-time shipment clearance. The platform handles rotated pages and poor scans common in logistics workflows.

Compliance record management

Regulated industries must maintain accurate records of processed documents. Cradl generates complete audit trails for every extraction, showing what was extracted, when, and by which model or reviewer. Role-based access controls ensure only authorized personnel view sensitive data.

Sign up for a free account and upload 10-20 sample documents of the type you want to process.

Use the annotation interface to mark the fields you need extracted — field names, totals, dates, and identifiers.

Train your first model and test it against 5-10 new documents to evaluate accuracy.

Connect Cradl to your existing systems via API or webhook, then deploy to production with human review enabled.