RaccoonDoc: IDP Software Vendor

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RaccoonDoc is a cloud-native IDPaaS platform from Kyiv, Ukraine, achieving up to 98% data extraction accuracy with processing speeds 25x faster than manual methods. The platform is ISO 27001 certified and targets enterprises in regulated industries that need zero-setup intelligent document processing (IDP) within existing RPA workflows.

RaccoonDoc

98%Extraction accuracy
25xFaster than manual
100%Cloud-native deployment
2021Founded in Kyiv

Overview

RaccoonDoc emerged from Innora, a Kyiv-based UiPath Gold Partner and RPA system integrator, launching in 2021. The platform delivers IDP as a Service (IDPaaS) using machine learning, computer vision, and neural networks for structured and unstructured data extraction from complex documents.

The platform combines automated ML-based extraction with in-house human-in-the-loop (HITL) review teams, claiming up to 100% accuracy on returned data through hybrid rules-based processing, ML models, and continuous neural network retraining. In January 2026, RaccoonDoc expanded beyond Innora's direct partnerships by launching a connector on UiPath's marketplace, positioning itself as a zero-setup IDP solution requiring no templates or training.

In August 2023, RaccoonDoc achieved ISO 27001 certification, validating its information security management systems for cloud-based document processing APIs. Igor Svitelskyi, founder of RaccoonDoc, stated: "RaccoonDoc is firmly dedicated to establishing trust by relying on third-party security validations like ISO 27001. Trust plays a pivotal role, especially for cloud-based companies like ours, which offer data processing services in tightly regulated sectors." The certification directly addresses a procurement requirement that blocks many cloud IDPaaS vendors from regulated enterprise deals in financial services, healthcare, and legal.

How RaccoonDoc handles document extraction

RaccoonDoc's pipeline starts with intake across images, photos, PDFs, and emails, including multi-page and multi-type document batches. Rather than relying on pre-configured templates, the platform applies a hybrid architecture: rules-based processing handles predictable document structures, ML models manage variable layouts, and self-retraining neural networks adapt to new document types without manual intervention.

Where automated extraction falls below confidence thresholds, RaccoonDoc routes documents to its in-house HITL team. This human review layer is what backs the 100% accuracy guarantee on returned data. The self-learning loop means each HITL correction feeds back into the neural network, improving future automated extraction rates over time.

This approach differs from template-dependent competitors that require upfront configuration per document type. For enterprises processing high document variety, the zero-setup model reduces time-to-value. The trade-off is full cloud dependency: unlike ABBYY or Hyperscience, RaccoonDoc offers no on-premise deployment option, which disqualifies it for organizations with strict data residency requirements despite the ISO 27001 certification.

Use cases

Enterprise RPA integration

Organizations deploy RaccoonDoc through the UiPath marketplace connector for plug-and-play IDP capabilities within existing RPA workflows. The zero-configuration approach eliminates setup overhead while processing unlimited document volumes through hybrid rules, ML models, and human validation. Compatibility requires UiPath Studio 21.10-22.10+, Windows runtime, and .Net 5.0 or higher.

Complex document analysis

Companies with unstructured or variable-format documents implement RaccoonDoc for extraction tasks beyond standard templates. The platform's self-learning neural networks adapt to customer document types without manual training, applying computer vision to extract data from layouts that challenge traditional OCR systems.

Accuracy-critical processing in regulated industries

Enterprises in financial services, healthcare, and legal use RaccoonDoc for high-stakes document processing where the 100% accuracy guarantee through HITL validation is essential. The ISO 27001 certification satisfies security audit requirements common in these sectors, and the hybrid architecture ensures continuous improvement while maintaining reliability for downstream systems.

Technical specifications

Feature Specification
Platform type Cloud-native IDPaaS
Deployment 100% cloud
Core technologies Hybrid rules, ML models, computer vision, neural networks
UiPath compatibility Studio 21.10-22.10+, Windows runtime, .Net 5.0+
Document formats Images, photos, PDFs, emails (multi-page, multi-type)
Claimed accuracy Up to 100% with HITL guarantee; up to 98% automated
Setup requirements Zero templates or training required
Learning capability Self-retraining neural networks
Security certification ISO 27001 (achieved August 2023)
Parent company Innora (UiPath Gold Partner)

Company information

RaccoonDoc is headquartered in Kyiv, Ukraine, and operates as a product of Innora, a UiPath Gold Partner and RPA systems integrator. The company launched in 2021 and has continued operations through the ongoing conflict in Ukraine, expanding to serve enterprise customers globally. Deep Analysis covered RaccoonDoc's founding story in the context of the Ukrainian technology ecosystem, noting the company's wartime origins and growth trajectory.

The 2026 UiPath Marketplace integration signals traction beyond Innora's direct integrator relationships, indicating vendor-neutral adoption potential. Engineering and operations remain based in Kyiv. The ISO 27001 certification, achieved in 2023, positions the company for procurement processes in regulated industries where cloud vendors face heightened security scrutiny.

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