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Cradl AI
Cradl AI

Cradl AI

Developer Tools

Cradl AI
Cradl AI is a platform that allows you to build and deploy document parsing models with deep learning. Document parsing is the process of extracting data from documents, such as invoices, receipts, ID cards, contracts, etc.
Freemium
API
Paid plans start from $99/mo.
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 Cradl AI makes it easy for you to create custom document parsers without any machine learning experience. You can use Cradl AI's intuitive interface to choose a pre-trained base model, configure the fields you want to extract, upload your documents, train your model, test it and deploy it. You can also integrate your model into your software using Cradl AI's API and SDKs. Cradl AI's models are powered by the latest advances in deep learning and can handle any document layout and language. Cradl AI also offers an optional human-in-the-loop platform for validating and correcting low confidence predictions from your model. Cradl AI is suitable for developers and businesses across industries who want to automate their document workflows with AI.

Pros
  •  It allows users to build custom document parsing models with deep learning without any ML experience.
  •  It supports any document layout and language, and can handle complex and noisy documents.
  •  It offers scalable training on historical data without manual labeling.
  •  It provides accurate and actionable confidence estimates for all extracted fields.
  •  It has an optional human-in-the-loop platform for internal workflows and validation .



Cons
  •  It may not be suitable for highly sensitive or regulated documents that require strict security and compliance measures.
  •  It may require technical resources for integration and configuration of the APIs and human-in-the-loop platform.
  •  It may have a learning curve for users who are not familiar with document parsing or deep learning concepts.
  •  It may not cover all possible use cases or document types that users may need to parse.
  •  It may have limitations in terms of processing speed, accuracy, or scalability depending on the deployment options.

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