

Cradl AI: No-Code AI Document Parsing & Automation
Cradl AI automates document parsing with self-improving AI models, letting teams extract data from PDFs, invoices, and complex documents without writing code.
Overview
Cradl AI is a document automation platform that lets businesses train deep learning models to extract structured data from unstructured documents like PDFs and emails, without requiring any machine learning expertise. Powered by leading LLMs, the platform combines vision and text understanding to parse complex layouts, including multi-page documents and tables, then delivers clean data through RESTful APIs or no-code integrations. A human-in-the-loop review interface catches low-confidence predictions before they cause downstream errors, while the models continuously retrain on corrected data to get smarter over time.
Beyond raw extraction, Cradl AI includes a visual workflow builder, ready-made templates for common document types, and anti-hallucination detection to keep outputs trustworthy. This makes it well suited for finance, logistics, and operations teams that need to automate high-volume, repetitive document work, from invoices and bank statements to bills of lading and tax forms, freeing staff from manual data entry so they can focus on higher-value tasks.
Capabilities & Features
- Document parsing
- AI
- Automation
- No-code
- Machine learning
- Data extraction
- Workflow automation
- LLMs
- Integrations
- API
- PDF processing
- Email processing
Core Features
- AI-powered document processing using leading LLMs
- Human-in-the-loop validation interface for uncertain predictions
- Visual workflow builder for automated document routing
- Ready-to-use templates for common document types
- Self-improving models that retrain from corrections
- Anti-hallucination detection and auto validation rules
Use Cases
- Automating invoice and receipt data entry
- Processing bank statements and income statements at scale
- Extracting data from bills of lading and cargo insurance documents
- Automating proof of address and trade confirmation verification
- Handling W9 tax forms and order confirmations without manual review
Best For
- Accountants
- Financial analysts
- Logistics professionals
- RPA developers
- Digital process automators
- Enterprises
- Startups
Pros
- •No coding required, with API-first design for developers who want deeper integration
- •Human-in-the-loop review balances automation speed with accuracy
- •Models self-improve over time as corrections feed back into training
- •Handles complex, long, and table-heavy documents better than general AI tools
- •Strong data privacy stance, with data never used to train shared models
Cons
- •Entry-level plan caps out at 500 pages per month, which may be limiting for high-volume users
- •Team plan pricing jumps significantly compared to the Individual tier
- •Enterprise-grade features like SSO and custom SLAs require contacting sales rather than transparent pricing
- •Full accuracy benefits depend on ongoing human review, adding some manual workload initially
How to Use
Start by uploading sample documents such as PDFs or emails, then select a template or train a custom model to identify the specific fields you need extracted. Build an automated workflow to route documents, apply validation rules, and export results via API or no-code integrations to your existing tools. Use the human-in-the-loop interface to review and correct any low-confidence predictions, which automatically feeds back into the model to improve future accuracy.
Frequently Asked Questions
Connect & Contact
Pricing
Cradl AI offers an Individual plan from $40-50/month for 500 pages, a Team plan from $250-350/month for 5,000 pages and advanced validation, and a custom-priced Enterprise tier with SSO and premium support.
Pricing data is provided as a summary. Visit the vendor website for full tier details.