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Introduction

Welcome to the developer documentation for Cradl, the platform for building and deploying document parsers with deep learning. Here you'll find an overview of core concepts, guides and reference documentations for APIs.


Build

Build and train high-accuracy document parsing models for any document.

Deploy

Deploy and integrate your model with developer-friendly REST APIs.

Improve

Continuously improve your deployed model over time with seamless feedback loops.

Cradl Web App

Getting started

Ready to get started with Cradl? Sign up for a free account and start building.


Build your first document parser

Follow step-by-step instructions to create your first model with Cradl.

Get started with the CLIGet started with the Python SDKGet started with the Web app

Start with a community model

Get up and running quickly by fine-tuning a pre-trained model on your documents.

Go to community models

Making predictions with your trained model

After training and deploying your document parsing model, you can start making predictions on your documents either through our CLI, SDK or by using the REST API directly in your favorite programming language.

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Core concepts

Get a better understanding of the inner workings by reading about our key concepts.


Model

A model is the most fundamental component of your document parser. Read more about models here.

Dataset

Datasets are used to train your models, so understanding what makes a good dataset is critical to building a high accuracy parser.

Training

A model training can be done with one or more datasets. Documents contained in these datasets must have ground truth defined.

Prediction

When a model is trained and deploy, you're ready to make predictions on new documents. Read more about making predictions here.


Use cases

Automate your document processes

Automate the processing of documents like invoices and reduce time, cost and errors while letting your co-workers spend their time on more meaningful work.

Build great user experiences

Build amazing user experience and increase customer satisfaction by reducing friction in onboarding, data entry or other document flows in your software.

Give your robots and chatbots vision

Enhance your RPA and chatbots with document vision capabilities to create new automation flows or increase automation in existing processes.

Automate auditing and compliance tasks

Automate your employee expense audits and KYC compliance routines by automating the processing of expense reports, ID cards and proofs of residence.

Features


Accurate and flexible

By configuring and training a document parser for your documents, you ensure high accuracy document parsing without losing flexibilty.

Confidence that you can trust

True end-to-end machine learning models means that you can trust Cradl's confidences values and never lose control over accuracy.

Reduce time-to-value with historical data

Build a large scale training datasets quickly from your historical data. No need for bounding boxes or part-of-speech tagging during training.

Fast processing

Parse documents with an average processing time below 2 seconds. Need even faster processing? Talk to us about custom deployment options.

Reference