Affinda's models can extract any information from any document, enabling you to automate every document-driven workflow in your organization within a single platform - eliminating manual document effort across any of your teams.
Affinda lets you build fully bespoke models from your own documents in minutes not weeks. Customize fields, extraction methods and transformations to match your exact requirements - with AI agents helping you configure everything quickly while keeping you in complete control.
Affinda is the only AI document processing platform that instantly learns from every interaction and applies that knowledge to make human-like decisions through Retrieval-Augmented Generation. This means Affinda easily adapts to variations in documents, achieving over 99% accuracy in much less time and with fewer samples.

Find out why G2 users score Affinda 4.9/5
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.

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

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.

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.
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.
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.
Gain all the features from day one. With a free trial, discover how easy it is to extract any information from any document, fast.
Rossum is an intelligent document processing platform focused mainly on transactional documents such as invoices, purchase orders and logistics paperwork.
Many organizations comparing Rossum also look at other document AI platforms and modern OCR tools. These options can work well for specific finance use cases, but they are often optimised for transactional workflows rather than every document workflow in the business, and usually involve configuration effort, document-specific tuning or limitations when document types become more varied or unstructured.
Affinda stands out as a strong alternative because it is built to extract any information from any document with industry-leading accuracy. Its AI agents and model memory learn instantly from every interaction and can be set up in minutes, not months. With built-in classification, splitting, field detection and data transformation, Affinda can be used to automate any document workflow across the business, not just transactional processes, providing a faster, more flexible and more accurate way to scale document automation.
Rossum offers a cloud-based platform for automating transactional paperwork, particularly in finance and operations. Rossum is primarily focused on these transactional flows, rather than on all of the document workflows that exist across an organisation.
Setting up and maintaining Rossum often involves creating queues, defining fields, configuring validation steps and providing examples so the system can learn. As new transactional document formats or rules appear, teams need to refine these configurations, which adds ongoing effort and can slow expansion into additional use cases.
Affinda is a strong alternative to Rossum because it delivers high accuracy and flexible automation without requiring heavy configuration or a transactional-only focus. Affinda can process any document in any format with industry-leading precision, learns instantly from every interaction and uses AI agents and model memory to build reliable extraction models in minutes, not months. Because classification, splitting, field detection and data transformation are all handled inside one platform, organizations can use Affinda to automate any document workflow in their business, from accounts payable to lending, insurance, HR, legal and operations, not just invoice flows.
Rossum is designed for high-accuracy extraction on transactional documents, especially invoices and purchase orders. Its models perform well when documents follow the kinds of layouts and structures it has seen before, and when users regularly review and correct results so the system can continue to adjust. This works best when the focus stays on finance and logistics documents.
Affinda is built to deliver industry-leading accuracy across a much wider set of document types. Its AI agents combine advanced language models, layout understanding and model memory to extract information from structured, semi-structured and unstructured documents, even when they contain complex tables or multi-column layouts. Because Affinda learns instantly from every interaction rather than relying on long retraining cycles, it gives organizations a more flexible and reliable alternative to Rossum, especially when they want consistent, high-accuracy extraction across any document workflow in the business, not only transactional ones.
Rossum can usually be deployed faster than older OCR systems, but it still requires setup.
Maintaining that setup also takes time. As new suppliers, formats or finance processes are introduced, Rossum configurations often need adjustment. That can slow down how quickly the platform supports new workflows and makes it harder to extend usage beyond its transactional core into other areas of the business.
Affinda is designed to be fast to deploy from day one. You can upload a single document and begin automating end-to-end processing almost immediately, without building templates or complex low-code workflows. Its AI agents manage classification, splitting, field detection and data transformation out of the box. This lets teams move from evaluation to production in days rather than months, and see ROI quickly, even when they plan to automate a wide range of document workflows across finance, operations, customer onboarding, compliance and more.
Rossum combines AI extraction with human-in-the-loop review and low-code workflow tools. Users often need to structure document streams, map fields, review extracted values and correct them so Rossum can adjust its models.
Over time, this means Rossum projects can involve maintenance work whenever formats shift, new vendors are added or additional document categories need to be supported. Teams must budget effort for configuration and monitoring rather than relying on the system to adapt with minimal input.
Affinda removes most of that overhead. There is no requirement for large labelled datasets or ongoing low-code configuration. Affinda lets you build accurate extraction models in minutes, not months. You upload documents, specify the information you want and the platform's AI agents and model memory handle the rest. As users interact with the system, it learns instantly from every interaction, so there is far less need for manual tuning. This gives organizations a faster, simpler path to high-accuracy automation that scales from transactional documents into any other document workflow across the business.
Rossum focuses on transactional documents. It is commonly used for invoices, purchase orders, receipts, packing slips and other forms that sit inside finance and supply chain workflows.
That focus can be limiting for organizations that also need to automate a broader mix of documents across the business, such as unstructured correspondence, complex application packs, technical reports, HR paperwork or mixed document bundles.
Affinda supports all of the common transactional document types Rossum targets and extends further into complex, unstructured and mixed-content documents. The platform processes any document in any format, including PDFs, scanned images, handwritten forms, structured templates, unstructured layouts, nested tables and multi-page document packs. Its AI agents read text, understand context and extract information without relying on rigid templates.
Common document types our customers use Affinda for include:
Because Affinda learns instantly from every interaction, it adapts quickly to new document types without heavy configuration or retraining, allowing organizations to use one platform to automate virtually any document workflow, not only transactional ones.
Rossum is marketed as template-free and is designed to cope with a range of layouts, particularly for invoices and other transactional documents.
For organizations dealing with suppliers that frequently change formats, or with documents that are not standard business forms, this reliance on repeated tuning can slow rollout and add operational effort on top of the core platform.
The Affinda platform is built to handle new or unpredictable document layouts with minimal intervention. Its AI agents have an advanced understanding of document layout and reading order, so they interpret structure, context and positional cues with precision, even when documents vary significantly from file to file. Affinda's model memory learns instantly from every interaction without lengthy retraining cycles, so it adapts to new formats without disrupting existing performance. This gives teams a faster, more scalable way to process complex, unstructured or completely unfamiliar layouts across any document workflow in the organisation, not just transactional paperwork.
Teams that use Rossum often tie it into finance, ERP and logistics systems and build processes around its queues and workflows. Changing a platform at the centre of these transactional document flows needs to be managed carefully so that downstream processes, reporting and approvals continue to work as expected.
Affinda is designed to make that move straightforward. It integrates via APIs and standard connectors, accepts the same common document formats and outputs structured data in formats your downstream systems already recognise. You can upload your current document samples and start automating extraction in minutes, not months, without recreating complicated templates or rebuilding model training from scratch. With transparent onboarding and AI agents that learn instantly from every interaction, Affinda helps organizations transition from Rossum smoothly and quickly, while gaining a more scalable, document-agnostic foundation that can support any document workflow in the business.
Rossum is typically brought in for finance and operations use cases centred on transactional documents.
That focus can leave gaps when organizations want one platform to cover a wider set of processes, such as lending, insurance, compliance, customer onboarding, HR or technical documentation, or when they need to handle unstructured content as well as forms.
Affinda is a suitable alternative to Rossum when organizations want a single, flexible document AI platform that can support both transactional workflows and broader document use cases across the business. Its ability to extract any information from any document, learn instantly from every interaction and handle complex or unstructured formats makes it effective for high-volume operations and specialised processes.
Common use cases where organizations choose Affinda include:
In these scenarios, Affinda provides faster setup, higher accuracy and far less configuration effort than Rossum, and it can be used as a single platform to automate document workflows across the entire business, not just in transactional finance.
Affinda is well suited for large enterprises and regulated industries that want one platform to automate document workflows across multiple departments. The platform meets strict security and compliance standards while delivering high-accuracy automation across complex document workflows, not just transactional ones. Affinda provides enterprise trust without enterprise friction. You get ISO 27001:2022, SOC 2 and GDPR compliance without the complexity that often slows large vendors. With flexible deployment options and clean integration into existing systems, organizations can adopt AI document processing at scale while maintaining the controls, transparency and reliability they expect.
Affinda's pricing is designed to be transparent, flexible and predictable. It uses a clear consumption-based model where you only pay for what you use, without complex package structures or hidden charges. Because Affinda can be set up in minutes, not months, and requires minimal configuration and maintenance, organizations avoid many of the indirect costs associated with long implementation projects and repeated tuning cycles. For teams looking for a cost-effective alternative to Rossum, Affinda provides a simpler pricing structure, faster time to ROI and a lower total cost of ownership, especially when they want one platform that can automate any document workflow, not only transactional processes.
Any intelligent document processing platform that handles invoices, contracts and other sensitive documents needs to meet strong security and compliance expectations. This is especially important for organizations in regulated industries that process financial, personal or operational data at scale across many different document workflows.
Yes. Affinda offers enterprise-grade security. The platform is ISO 27001:2022 certified, SOC 2 compliant and adheres to global data privacy principles, including GDPR. These standards ensure that customer data is protected with the level of rigour expected by large enterprises and regulated industries. Affinda is designed to keep your documents secure while removing the friction that often comes with enterprise tools. With strong security controls, flexible deployment options and a clear approach to data handling, organizations can adopt AI document processing with confidence across any document workflow in the business.
Teams evaluating Rossum often want to see how another platform performs on their own documents before committing to a change. Being able to compare extraction quality, ease of use and time to value is a key part of selecting a long-term intelligent document processing partner, especially when they are looking to move beyond transactional-only solutions.
Yes. Affinda offers a free trial for teams evaluating alternatives to Rossum. You can upload your own documents, test extraction quality and explore the platform for 14 days with no commitment. The trial includes access to core features and allows you to process up to 200 pages at no cost. Because Affinda builds accurate models in minutes, you can see real results quickly and understand exactly how the platform performs on both transactional documents and wider business document workflows before moving to production.