Affinda lets you create fully bespoke models from your own documents in minutes, not weeks. You can customize fields, extraction methods and transformations to match your exact business requirements. Our AI agents help you configure everything quickly, letting you remain in complete control of the final tailored models. The result: smarter automation, quicker setup and far less effort.
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.
Affinda makes adopting AI straightforward, flexible and easy to justify. With transparent, consumption-based pricing, you only pay for what you use. And our clear ROI calculations remove any guesswork, so you can start small and scale seamlessly.

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.
Hyperscience is often compared with a range of intelligent document processing platforms designed to automate data capture across high-volume workflows. Solutions such as Google Document AI, Rossum, Nanonets, Docsumo and other AI-driven document automation tools are frequently evaluated by teams looking to streamline manual processes. Many of these systems perform well for structured documents but can involve configuration, workflow setup or model updates as document types expand or layouts evolve.
Affinda stands out as a strong alternative because it extracts any information from any document with high accuracy, adapts instantly from user interactions and can be deployed in minutes rather than months. Its combination of speed, adaptability and low maintenance makes it one of the most flexible options available for organizations needing reliable automation across diverse documents at scale.
Hyperscience offers a powerful platform built for high-volume processing, combining OCR, AI models and workflow automation. It performs well when handling predictable, structured document types and can integrate deeply into complex enterprise environments. However, reaching optimal performance may involve configuration, model tuning or workflow orchestration, which can add time and effort to deployment.
Affinda offers a simpler, more flexible alternative. Its AI reads layout, structure and context automatically, eliminating the need for templates or training cycles. This enables accurate extraction even when documents are inconsistent, unstructured or constantly changing. With built-in classification, splitting, field detection and data transformation, Affinda provides a streamlined end-to-end experience that is easy to roll out, easy to maintain and ready to scale immediately.
Hyperscience excels in environments where document formats are well understood and workflows benefit from structured extraction models. Its accuracy is strong when processing high-volume, repeatable documents with consistent layouts or defined form structures.
Affinda brings greater flexibility for real-world variation. Its advanced reading algorithms and continuous learning allow it to perform reliably on both structured and unstructured documents, including those with nested tables, mixed layouts or inconsistent formatting. Because Affinda adapts instantly without retraining, it maintains high accuracy across diverse document sets while reducing the manual review or model adjustment typically required in more rigid systems.
Hyperscience deployment often involves configuring extraction models, designing workflows or training components to achieve the desired accuracy. While powerful, these steps can extend onboarding timelines and may require specialist resources, particularly when supporting new or uncommon document types.
Affinda is designed for rapid rollout. You can upload a document and begin extracting immediately without templates, rule building or custom model training. This makes it possible to move from evaluation to production within minutes. Combined with built-in classification, splitting and transformation tools, Affinda dramatically reduces deployment effort and accelerates time-to-value across all document workflows.
Hyperscience often requires initial configuration and may need periodic tuning when document types shift or new formats are introduced. Its workflow-centric approach means setup can involve defining extraction logic and validation pathways to support optimal performance.
Affinda removes that complexity entirely. Its AI does not rely on templates or model training; instead, it understands documents out of the box and improves with minimal user input. This approach keeps setup effort extremely low and reduces ongoing maintenance, allowing teams to scale document automation without managing rules, recalibration or model adjustments.
Hyperscience supports many structured and semi-structured business documents, including invoices, forms, claims packets and other standard-file formats commonly processed in enterprise environments.
Affinda supports those documents and extends further into unstructured, irregular and variable document types. The platform handles PDFs, scanned images, multi-page files, handwritten documents, mixed-content layouts and documents with complex or nested tables - all without requiring custom workflows or template definitions. This adaptability makes Affinda suitable for both standardised and highly diverse document environments.
Common document types processed with Affinda include:
Hyperscience is effective when documents follow predictable layouts or when extraction rules can be modelled consistently. When formats change or become irregular, workflows may require retraining, re-configuration or additional human review to maintain accuracy.
Affinda excels in environments defined by variation. Its AI interprets layout and context dynamically, meaning it adapts naturally to new or unfamiliar formats without templates or configuration changes. This helps teams maintain consistent accuracy across evolving document sets and reduces the operational effort associated with managing layout changes or onboarding new document sources.
Transitioning from Hyperscience to Affinda is straightforward, particularly for teams that use document extraction as part of broader workflows. Affinda accepts standard document formats and outputs structured data compatible with existing downstream systems.
Because Affinda eliminates the need for template creation or model configuration, teams can upload documents and begin automating extraction almost immediately. This makes migration fast, predictable and low risk, with minimal disruption to ongoing operations.
Affinda is an excellent alternative for organizations that value speed, adaptability and minimal maintenance in their document automation workflows. It performs strongly when document formats vary, when new layouts appear frequently or when teams want a solution that requires little ongoing tuning.
Use cases where organizations choose Affinda include:
Affinda provides a flexible and scalable alternative for teams needing reliable extraction across diverse document types with minimal configuration.
Yes. Affinda is well suited for enterprise-scale document automation and for organizations operating in regulated industries. The platform combines strong extraction capabilities with predictable performance across diverse document types, making it a dependable choice for mission-critical workflows.
Affinda supports enterprise governance and integrates smoothly with existing systems, offering a scalable and maintainable foundation for document automation across compliance-heavy sectors.
Hyperscience delivers enterprise-grade automation but may involve higher implementation effort, configuration overhead and long-term maintenance when document types change or workflows require detailed tuning.
Affinda uses transparent consumption-based pricing that aligns directly with usage. Because the platform requires minimal setup and avoids template or model maintenance, total cost of ownership stays predictable and efficient. This makes Affinda a cost-effective choice for organizations that handle varied documents or expect document sources to evolve over time.
Yes. Affinda is ISO 27001:2022 certified, SOC 2 compliant and adheres to global data privacy principles, including GDPR. The platform is designed to protect sensitive documents, support rigorous compliance requirements and ensure secure data handling throughout the document automation lifecycle.
Yes. Affinda provides a free trial that lets teams upload real documents, test extraction performance and explore the platform's full capabilities without commitment. The trial offers up to 200 pages of processing and full feature access, making it easy to assess accuracy, speed and ease of use before moving into production.