Compare LLM alternatives - which IDP platform is right for you?

Comparing LLM alternatives? Find out how Affinda's agentic AI approach to document processing stacks up against general-purpose LLMs lacking governance and validation - so you can make an informed decision.

Why customers love Affinda

Human-in-the-loop validation

When documents need a human touch - whether due to business logic checks or formatting variations - your team can quickly jump in and validate. Affinda combines the best of human and AI intelligence to keep your processes smart and reliable, with all documents flowing smoothly into your existing workflow once review is complete.

Instant Learning with RAG

Affinda learns from every interaction - instantly. Using Retrieval-Augmented Generation, it adapts to document variations on the fly and makes human-like decisions that get smarter over time. The result? Over 99% accuracy achieved faster and with fewer training samples than traditional approaches.

Achieve 99%+ Accuracy

Affinda delivers over 99% accuracy by combining reading order models, OCR, LLMs and RAG in one platform. Extract any information from any document in any format - with the reliability and precision you need for even the most complex data extraction tasks.

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LLMs vs Affinda

Models & Learning
Affinda
LLMs
LLM+
Combines LLMs with RAG to deliver higher accuracy.
✅
❌
Instant learning
User corrections immediately improve future documents.
✅
❌
Document splitting and classification
Automatically separate files and classify incoming documents.
✅
❌
Complex tables and line items
Effectively handles complex simple and complex table structures.
✅
❌
Redaction
Remove sensitive content from PDFs.
✅
❌
Validation and governance
Natural language validation rules
Simply describe the rule and the platform applies it to the data.
✅
❌
Mapping to master data
Validate fields against the data in your system(s).
✅
❌
Human-in-the-loop validation interface
Users review exceptions using an intuitive UI.
✅
❌
Auditability and rule visibility
Every decision traceable for compliance.
✅
❌
Integration
No-code Integration Agent
Chat to an AI agent to create working integration code.
✅
❌
Comprehensive developer documentation
REST API model with quick starts, client libraries and developer tools.
✅
✅
Support & security
Academy
Guided tutorials, best practices, how-tos.
✅
❌
AI Assistant
In-app assistant to help users through setup and configuration.
✅
❌
Compliant with global information security standards
ISO27001, SOC2 & GDPR compliant.
✅
✅
Regional deployment options
Keep data in preferred regions or environments.
✅
✅
Pricing
Transparent, usage-based pricing
Clear consumption pricing, start small then scale.
✅
YES
Free trial
Test real documents before committing, no sales calls required.
✅
YES
28/11/2025

Compare Affinda to other IDP solutions

Find out why G2 users score Affinda 4.9/5

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Download the Deep Analysis vendor report about Affinda

Find out why Deep Analysis says Affinda “offers a rigorous alternative to hard-coded machine learning models or overly simplified LLM prompt-based tools”.

Why Affinda is the best intelligent document processing platform

As the only IDP platform to apply agentic AI with persistent model memory, Affinda's platform ticks three key boxes: fast configuration, superior accuracy and the flexibility to extract data from any document in any format. That means you can create models to automate any document-heavy workflow in minutes, not months and integrate them with any business system.

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Build fast
Extract any data
Integrate seamlessly
Example of automated data extraction from a document in Affinda

Create models in seconds

Upload a document and Affinda will predict the information you want to extract, letting you automate document processing in just a few clicks.

Example of how to configure data transformations in the Affinda Platform

Cleanse and transform data

Affinda automatically transforms data into a format your business system recognizes, ensuring extracted information is ready for downstream processing. Have a bespoke need? Use natural language to describe how you want the data to appear.

Example of how to configure data transformations in the Affinda Platform

Apply business logic

Write validation rules in natural language to apply your business logic to the data. This will ensure the output meets your organization’s requirements and enable straight-through processing.

Pathway 1: Use our AI integrations agent

Non-developers can create integrations with ease. Choose from 400+ downstream systems and describe how you want the integration to work, using natural language. Affinda’s AI agent will write custom code to connect to your downstream system.

Pathway 2: Write your own code

Developers can easily connect Affinda with their systems using our client libraries. Automatically generate type-safe Pydantic models or TypeScript interfaces tailored to your needs.

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No need to talk to sales. Get started now

Gain all the features from day one. With a free trial, discover how easy it is to extract any information from any document, fast.

Sign up for free

No sales calls, no credit cards and no hidden features. Get all the power in your hands from day one.

Upload documents

Drag and drop, email or upload via API. Affinda can handle any document, any file type and any layout with ease.

See the magic

Watch as the platform predicts the information you want to extract, letting you build models in minutes, not months.

Frequently asked questions

What are the top alternatives to using general-purpose LLMs for document extraction?
What makes Affinda a stronger alternative to LLM-based document processing?
How does Affinda's accuracy and flexibility compare with LLM-based approaches to document extraction?
How fast is Affinda to deploy compared to building document workflows on top of LLMs?
How does Affinda's setup and configuration compare to prompt- and model-based LLM workflows?
Can Affinda handle the same document types people process with LLMs, and more?
How does Affinda handle new or unpredictable document layouts compared to LLM-based solutions?
Is switching from an LLM-based document extraction approach to Affinda difficult?
What use cases make Affinda a suitable alternative to LLMs for document workflows?
Is Affinda suitable for large enterprises and regulated industries that are experimenting with LLMs?
How does Affinda's pricing and total cost of ownership compare to building on top of LLM APIs?
Does Affinda offer enterprise-grade security?
Does Affinda offer a free trial for teams comparing Affinda with LLM-based approaches?
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Discover the platform

Extract any information from any document and integrate it easily with your existing systems. Find out how.

Pricing, plain and simple

No up-front costs. No lock-in contracts. Just pay only for what you use.