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Smart tools.High efficiency.
Customise. Extend. Integrate.
Welcome to the platform.
RaccoonDoc IDP is a next-generation solution built on top of a unified AI platform that can process any type of document or unstructured data type. Our platform leverages the latest AI for the best result, guarantees outcomes, and offers access to an on-demand data-processing crowd to accelerate automation while reducing costs and complexity.
Born in Ukraine.
Designed for the whole world.
Our team is made up of experts and fans in artificial intelligence, machine learning, and data extraction. We're dedicated to staying on the cutting edge of technology and innovation, constantly researching and developing new features to enhance the capabilities of our IDP solution.
Document processing made smart
Upload documents and get data back the way you want.
Businesses have no control over the quality of documents that they receive.
The illegible, distorted, low-resolution documents slow down data capture and reduce accuracy.
Get all the dirty jobs automated.
AI deskews, denoises, and declutters documents for you, which contributes to better accuracy when it comes to data extraction. It identifies and merges all the relevant pages into a single file and split what's irrelevant.
Process anything with no pre-defined templates needed.
The data you need from a particular document type may be the same but the individual documents could be laid out in a million different ways.
Have the human in the loop when you need them.
Specify the critical data you want to be 100% sure about and let humans go over it manually. Industry-leading ergonomic validation interface lets you easily move through it if you wish to do so.
It's getting better with every mistake.
Add intelligence to your data correction with a platform that learns from every manual correction made. Improve data accuracy exponentially.
Validate and transform data to match your needs.
Configure logic to make extracted data business-ready. With a built-in business rule future, you can change date formats, transform currency formats, or remove irrelevant characters.
Who's already on board
Why RaccoonDoc?
Quick start
Simple and fully assisted implementation: start within days.
Unmatched ROI
Quick return on investment with no hidden or overhead costs.
Affordable price
Flexible and transparent pricing per document that's easy to scale and plan for.
Our TOP Solutions
FAQ
What is intelligent document processing?
IDP is a next-generation automation technology that leverages AI, machine learning (ML), Deep Learning (DL), Optical Character Recognition (OCR), and natural language processing (NLP) to help organizations efficiently manage documents.
Why intelligent document processing is important?
Researchers estimate “unstructured” data accounts for 80-90% of all new enterprise data — and every year this grows three times faster than structured data. What companies really need is a fast, efficient, and accurate way to transform the unstructured data hiding in documents into structured data that businesses can use. IDP provides the essential document understanding of unstructured data that frees people to focus on the more critical aspects of their business.
How is IDP different from OCR?
Object or Optical Character Recognition (OCR) is a component of intelligent document processing (IDP). OCR is the technology that recognizes any type of machine-printed character, letter, and number in images, PDFs, and paper documents — regardless of font. It also recognizes handwriting in cursive. In intelligent document processing, OCR identifies handwriting vs machine-printed characters as it scans for clues about the type of document it is analyzing. OCR then turns binary data it scans from documents into glyphs, characters, numbers, and symbols that IDP can use for further processing.
How does IDP work?
IDP reads documents the same way that a human does. It is made up of fundamental processes (classification, extraction, and validation) that scan content and interprets context — along with intent — to ensure a streamlined document organization process. Classification uses OCR to identify and organize masses of information. Extraction applies trained AI models to target specific elements of interest — such as addresses, tax details, monetary values, technical specifications about products, or hard-to-find clauses in legal contracts. Human-in-the-loop attended automation can then provide security for employees to approve decisions within automation — allowing for dedicated audit interfaces in-between tasks that are based on business rules set by the user.
What is document processing used for?
Processes still stuck under a mountain of unstructured documents — such as underwriting review processes at financial institutions or insurance companies — can immediately start using IDP to build automated infrastructures that speed up tasks at every step in the process. IDP can make historical data readily available for KYC review and access to different departments and even third-party digital workflow services that fast-track the customer journey. Highly regulated organizations where latent value remains trapped inside older, heritage document processes — such as banking, law, healthcare, government, higher ed, museums/library science/archival records management, and publishing institutions — can achieve digital transformation using IDP.