How to Choose the Right IDP Tool for Your Organisation

20th October 2025

by Pol Brouckeart

Manual document handling drains time, money and morale — and it’s getting harder to keep up as volumes rise and compliance tightens. That’s why choosing the best intelligent document processing (IDP) software is no longer optional – it’s a necessity. The best intelligent document processing solutions use AI to classify documents, extract accurate data (beyond OCR) and push it straight into your business systems with human‑in‑the‑loop control where it matters.

In this blog, we’ll answer the following questions for you:

  1. Why does your business need the best IDP tools?
  2. Common features of IDP tools to look for
  3. What is the best intelligent document processing solution?
  4. A quick look at the IDP landscape
  5. How to choose the right IDP tools
  6. Upcoming trends for IDP tools
  7. Why choose Netcall’s Liberty IDP tool?

Why does your business need the best IDP tools?

Manual document handling is slow, error-prone and costly. Studies show that manual data entry in processes like insurance claims can have error rates ranging from 12% to 18% (Droidal). These errors lead to costly rework, compliance risks and customer frustration. With the right IDP solution, you can automate these processes and transform operations.

Example use cases include:

  1. Processing a claim that arrives as a PDF scan
  2. Automatically reading and routing back-office emails
  3. Supporting back-office agents with images.

Key benefits include:

  1. Faster document processing and improved efficiency
  2. Enhanced data accuracy and reduced compliance risk
  3. Lower operational costs
  4. Scalability to handle growing document volumes.
  5. Better data management and an increase in data flow: When using an IDP tool with a  process mapping software, your business can enable data from documents to flow seamlessly into automated processes for improved accuracy.

Common features of IDP tools to look for

When assessing IDP solutions, make sure they include these must-have capabilities:

  1. AI-powered data extraction beyond OCR (NLP + ML, not just templates) that goes beyond simple text recognition to understand context and extract data from unstructured and semi-structured documents​​
  2. Document classification for mixed inputs and formats
  3. Built-in validation and anomaly checks before data hits core systems
  4. Integration with ERP, CRM, case management and RPA
  5. Human-in-the-loop stations and exception routing
  6. IDP 2.0 capabilities include multimodal inputs (text + images), long/complex document handling and continuous learning.

What is the best intelligent document processing solution?

There’s no one-size-fits-all answer. The best intelligent document processing solution depends on your organisation’s specific needs, industry and scale. Key criteria include accuracy, scalability, ease of use, integration, deployment flexibility and compliance.

Key IDP capabilities that actually drive impact

While many tools advertise endless features, the following five criteria are what really move the needle:

1. Accuracy and reliability

Field‑level precision on your documents. Look for solutions with transparent confidence scoring and measurable improvement over time, so you can trust the data your teams act on.

2. Speed to value and usability

Low‑code/no‑code configuration is essential. Business users should be able to deploy, test and refine workflows without waiting for IT sprints.

3. Scalability and performance

Your solution should handle high volumes, long or image-rich documents and occasional spikes without latency or cost blow‑outs.

4. Integration and composability

Event‑driven APIs, native connectors and seamless HITL workflows to close the loop.

Book a demo

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A quick look at the IDP landscape

There’s no single “best” tool for every use case, but these well‑known options represent the spectrum from developer‑centric to business‑friendly:

ABBYY (FlexiCapture & Vantage) — Prebuilt skills; strong validation; volume‑based pricing.

UiPath Document Understanding — Deep RPA alignment; great for UiPath estates; dev‑led setup.

Azure AI Document Intelligence (Form Recognizer) — Strong for Microsoft stacks; pay‑as‑you‑go.

Google Cloud Document AI — Developer‑focused with broad model catalogue.

Rossum — Cloud‑native, API‑first, business‑friendly UI.

Instabase (AI Hub) — Powerful for complex, unstructured content and knowledge extraction.

Tungsten Automation (ex‑Kofax TotalAgility) — Enterprise workflows with embedded case management.

Hyperscience — Enterprise platform with mature HITL flows.

Netcall Liberty IDP — Low‑code/no‑code, business‑user‑first, out‑of‑the‑box HITL, UK/EU compliance ​​​​focus.

How to choose the right IDP tools – a pragmatic, 4‑step approach

With so many IDP tools promising the same outcomes, a systematic approach is the only way to cut through the noise. Making the right decision involves a structured approach:

Request a demo

Insist on testing the solution with your documents in real-world workflows that mirror your production environment. Watch how it handles exceptions, latency and integration touchpoints. The goal is to surface deal-breakers early.

Consider the total cost of ownership

Factor in implementation, training, data migration, support, infrastructure and ongoing updates, not just license fees. The cheapest product upfront can easily become the most expensive once it’s live.

Define your needs

Start by identifying and listing 5–10 high‑volume/low‑quality document types slowing your teams down. Gather 25–50 real samples per type (including edge cases). This gives you a realistic dataset to benchmark potential tools against.

Conduct a vendor assessment

Evaluate and score vendors against key criteria such as accuracy, scalability, support and compliance. Use a simple one-page scorecard to keep everyone aligned and make trade-offs visible to stakeholders.

Upcoming trends for IDP tools

The IDP market is evolving rapidly. New tech, changing data volumes and tighter regulations are reshaping what “good” looks like. Here are the trends worth paying attention to and what they actually mean in practice:

  1. Generative AI expansion: Tools are moving beyond data extraction into summarisation, semantic search and Q&A, now paired with stronger validation layers and guardrails to keep outputs reliable.
  2. Hybrid AI approaches: Expect tighter integration of large language models (LLMs) with classical machine learning, giving systems the flexibility to handle both unstructured and structured content without sacrificing accuracy.
  3. Verticalised solutions: Vendors are packaging domain-specific offerings for sectors like banking, insurance and the public sector, drastically reducing setup and training time.
  4. Composable automation: IDP is becoming the “front door” to broader workflows, feeding data directly into case management, ERP, CRM and customer systems.
  5. ModelOps maturity: Governance, monitoring and continuous learning are now being baked into everyday operations, reducing drift and compliance risk.
  6. Lower implementation costs: As vendors standardise integration patterns and pre-train models, the reliance on costly professional services is dropping.

For a deeper dive, see our article Intelligent Document Processing 2.0: How AI Elevates IDP from Useful to Unstoppable.

Why choose Netcall’s Liberty IDP tool?

Liberty IDP combines AI-powered extraction, multi-modal inputs (text + images), handling of long and complex documents, low-code usability and out-of-the-box human-in-the-loop workflows — all in a single platform.

Liberty IDP’s features

  1. Designed for business users: Low‑code/no‑code configuration so teams can stand up and iterate new document types quickly — without queuing behind IT.
  2. Enterprise‑ready: Multimodal inputs (text + images), long/complex document handling, built‑in HITL and flexible deployment (cloud / private cloud / on‑prem).
  3. Proven impact: Customers like Baloise and Input for You report significant gains — including higher straight‑through processing and faster cycle times — turning document chaos into predictable, auditable workflows.

Your solution should handle high volumes, long or image-rich documents and occasional spikes without latency or cost blow‑outs.

Proven results

At Baloise, ​​Liberty IDP boosted straight-through processing (STP) from 15% to 65%, reducing manual admin and driving clear ROI.

Explore the case study

Intelligent Document Processing

At Input for You, Liberty IDP achieves up to 95% STP on certain document types and delivers an 80% reduction in claim processing time – significantly speeding up and improving accuracy for insurance customers

Explore the case study

Turn documents into action with Liberty IDP

Liberty IDP is part of the Liberty Platform. Extend beyond documents into case management, customer engagement and end‑to‑end hyperautomation.

Ready to cut processing time and boost accuracy? Book a demo with Netcall today and see your documents running through a live workflow in days, not months.

About the author

Pol Brouckaert

Director of Netcall EU

Pol leads the company’s expansion across continental Europe from the Brussels office. He joined Netcall through its 2024 acquisition of Parble, an intelligent document processing (IDP) company where he served as CEO. Pol has built a career at the intersection of strategy, technology and financial services. Earlier, he worked as a strategy consultant at BCG, advising leading banks and insurers on digital and business transformation initiatives internationally. His expertise spans strategy, AI and technological innovation. Together with his team, he has helped numerous companies harness the benefits of intelligent document processing, one of the most mature and pragmatic use cases of AI.

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