Seamless end-to-end document
automation process. Exposed.

Ingest

Affinda’s AI engine can process any type of document or artefact that contains language and/or visual information.

Upload through any mechanism:

API

Drag and drop

Email

Document management system

Pre-Processing

Optical Character Recognition

Apply OCR to extract the text layer from photos or scanned documents.

Document Manipulation

Rotate pages or enhance their quality for information extraction.

Splitting

Automatically split files into multiple documents.

Classification & Routing

Classification

Self-learning classification of all document types.

Routing

Classified documents are sent to the right AI model for extraction, or rejected if not relevant.

Removing Duplicates

Eliminates already processed documents by rejecting them or flagging for human review.

Information Extraction

World-class Accuracy

Teams of AI experts constantly work on ways to improve already unmatched accuracy.

Self-learning

Feedback loop created that ensures AI models continue to learn and improve over time.

Validation

Automated

Leverage third party data sources or custom business logic to deliver straight-through processing of documents.

Human in the loop

For documents not straight-through processed, utilize our intuitive user interface to rapidly review documents.

Use Extracted Data

Integrations

Affinda integrates with popular downstream platforms with minimal set up work.

Rich Data Response

Rich metadata available at a field and document level provides the flexibility to do what you need in downstream systems.

Features that make our platform
special. Unveiled.

Self-Learning

Our models start off highly accurate and continue to get better and better over time using the feedback loop created when users review documents. Every document reviewed and validated by a human ensures that you have 100% accurate data to work with.

Magic Tables

Extract structured data from even the most complicated tables to get data in the format you need. From simple grid-like tables to complex nested tables, you’ll reach the key information you need.

Integrate your systems.

Integrate your upstream and downstream systems with Affinda to further reduce the time spent on processing documents.

Customisation

Enterprises can process documents within the web app. Software companies can white-label our validation UI and embed within their own platform.

Configure field settings, data lookups and business rules to your requirements.

Insights

Make use of our powerful tools to do more with the data available.

Get a better idea about how your teams work by delivering rich, data-driven insights.

Multilingual

Our AI understands and extracts data in 50+ languages. It can also process documents that contain more than one language.
Arabic
English
Chinese
Dutch
French
German
Hebrew
Hindi
Indonesian
Japanese
Italian
Korean
Malaysian
Portuguese
Russian
Spanish
Affinda security

We spend all day thinking about security so you don’t have to.

We know it’s not easy to navigate the complex world of information security, but we understand it’s importance. We have invested heavily in security across multiple fronts to enable continuous monitoring and improvement of security practices. Our practices are ISO 27001 certified so you can be confident your data is safe.

VEGA: Document Processing
AI Engine. Only better.

Discover the AI brain behind all Affinda’s document processing solutions.

VEGA fuses these three capabilities into a single powerful AI engine.

Computer Vision

VEGA can recognize and predict document content with amazing accuracy.

Language Processing

VEGA uses language models to understand the content of the documents that need to be processed.

Deep Learning

VEGA gets better with time. With every document it processes, it learns how to read and understand the following ones much better.

Explore how you can use this powerful AI for your unique case.

Get in touch with our team of experts and find the best solution for you. Contact us for a free consultation call. We have teams located in North America, Europe, and the Asia Pacific region.