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Cradl

5.0(1)
25
Uses deep learning to extract document data.
Generated by ChatGPT

Cradl AI is a document parsing tool that uses deep learning to extract data from virtually any document layout. With its intuitive interface, developers can build customized models without the need for prior ML experience.

The tool is fully customizable and can be configured to extract any field from the documents. The models are language and layout independent, allowing the user to train a single model for any document.

The platform is built to minimize the learning curve, and users can be up and running in just a few minutes. The API and SDKs make it easy to integrate the tool into any solution.

The human-in-the-loop platform is optional and can help validate and correct low-confidence predictions from the models. The tool is secure and compliant with GDPR, and users have full control over their data.

Customers in different industries use Cradl AI, ranging from Accounting firms to Financial Services and Logistics companies. The tool is pay-as-you-go, and the unit cost decreases as the customer's volume increases.

Cradl AI is a powerful and easy-to-use solution for businesses with advanced data capturing needs.

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Cradl was manually vetted by our editorial team and was first featured on March 31st 2023.
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14 alternatives to Cradl for Document data extraction

Pros and Cons

Pros

Customizable field extraction
Language and layout independent
User-friendly interface
No need for ML experience
Easy API and SDK integration
Optional human-in-the-loop platform
Secure and GDPR compliant
User data control
Flexible pay-as-you-go pricing
Industry versatile
Quick setup time
Scalable training without manual labelling
No templates/rules needed
Pre-trained document-native models
Confidence estimates for fields
Easy-to-use human validation UI
Continuous training with human feedback
Data encryption in transit and at REST
Stored on secure AWS servers
Autoscaling for peak hours
Expert support available
Cost decreases with volume increase
Available REST API and SDKs
Supports Python, Java, JavaScript, .net
Already used in accounting, finance, logistics, government

Cons

Limited to document data extraction
Requires user configuration for extraction
Requires high volume for cost efficiency
Train model operation requires manual intervention
Depends on quality of training data
Human-in-the-loop validation not always reliable
Cost model might be unaffordable for low volume needs
Not suitable for real-time extraction
May require GDPR compliance knowledge
Limited to available API and SDKs

Q&A

What is Cradl AI?
How does Cradl AI use deep learning to extract data from documents?
Can Cradl AI work with any document layout?
Does Cradl AI require prior ML experience to build customized models?
Is Cradl AI fully customizable?
Are the models by Cradl AI language and layout independent?
How quickly can one start using Cradl AI?
What does the human-in-the-loop platform of Cradl AI do?
Is Cradl AI GDPR compliant?
Which industries are presently using Cradl AI?
Does Cradl AI work on a pay-as-you-go pricing model?
What are the popular use cases of Cradl AI?
How easy is it to integrate Cradl AI into existing solutions?
How does Cradl AI handle document parsing?
Can one deploy customized document parsing models using Cradl AI?
How does Cradl AI handle data extraction automatically from documents?
Does Cradl AI offer an API or SDK for integration?
Is it possible to use the Cradl AI to perform Receipt OCR and Invoice OCR?
What is the processing time for document parsing with Cradl AI?
What kind of support does Cradl AI offer to its users?

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