Combine the best of artificial and human intelligence
accuracy in information extraction
years of IP combined with the latest AI innovations
documents processed
languages, supporting customers globally

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.
accuracy in information extraction
years of IP combined with the latest AI innovations
documents processed
languages, supporting customers globally
Gain all the features from day one. With a free trial, discover how easy it is to extract any information from any document, fast.

Affinda has removed the laborious workload from our accounts staff, who now focus on quality assurance and management of any outliers.
- Nathaniel Barrs, CTO, PSC Insurance
reduction in manual work
more invoices processed with no added staff
Enhanced auditability and tracking of invoice approvals

Customer satisfaction is always our top priority, and Affinda has helped us achieve that by eliminating phone calls, manual handling, and delays.
- Jorg Both, Head of Business Systems, Northline
proof of delivery documents processed annually
of documents straight-through processed in the first weeks
Automatic validation of documents against ERP system

Affinda's ongoing improvements in its AI models demonstrate its innovative approach in Document AI.
– Michael Zhao, AI Product Manager, SEEK

Affinda’s support and expertise were invaluable… The experience working with Affinda was excellent.
- Nick Tran, Business Analyst, StateCover Mutual
documents processed annually
different document types
Enhanced auditability and tracking of invoice approvals

The results have spoken for themselves. I recommend Affinda to anyone looking to enhance their product or business with AI capability.
- Steve O’Keeffe, CTO, Felix
reduction in manual data input
reduction in compliance data errors
compliance documents processed annually
Proof of address processing is the workflow organizations use to verify identity and residency by extracting, validating and recording data from address verification documents. Our AI proof of address data extraction software automates this process to speed up onboarding, support compliance requirements and reduce manual entry. It ensures that customer details are accurate, verified and routed correctly to your systems.
Proof of address data extraction is the process of reading address verification documents and pulling key details (such as names, addresses, document types, dates and reference numbers). Our platform uses AI to automate proof of address data extraction, transforming unstructured documents into structured data that's ready for your onboarding, compliance and CRM systems.
Proof of address extraction is the automatic capture of key data from address verification documents using AI. Our proof of address extraction software combines reading order models, OCR, LLMs, RAG and more to convert this information with high accuracy and faster processing times.
A proof of address parser is a software tool that automatically reads address verification documents and extracts key data. It converts these documents into structured, machine-readable formats. Our AI proof of address parser adapts to variations in layout, format and language while continuously learning from feedback to deliver precise results ready for your compliance, onboarding and CRM systems.
Line extraction captures structured data from tables and lists within documents, transforming it into usable formats while preserving the relationships between each row and field. Our complex tables capability interprets this data with strong contextual understanding, handling everything from simple grids to multi-level nested structures with accuracy and speed.
Affinda's AI proof of address processing software can extract data from any field on an address verification document. Standard data fields include:
Need to capture custom fields specific to your verification workflow? Define them in the UI or describe them in plain language and Affinda will extract and structure them automatically.
Our AI agents can process any file type.Supported file types include PDF, JPG/JPEG, PNG, TIFF, DOC/DOCproof of address (Word), proof of addressLSproof of address (Excel), HTML and Tproof of addressT/CSV.
Affinda's AI agents read, extract and validate proof of address data. Our platform is intuitive to set up and easily integrates into your systems. Simply:
The result? Faster, more accurate proof of address processing with minimal manual input.
Yes. Our AI proof of address processing platform combines OCR with retrieval augmented generation (RAG), LLMs, agentic workflows, proprietary reading order algorithms and more, to automatically detect and process data from scanned or photographed invoices (PDF, JPG, PNG). Even low-quality images are automatically enhanced for reliable data capture and processing.
Our AI proof of address processing platform can automatically detect and process proof of address documents in 50+ languages, including multilingual documents containing more than one language.Supported languages include: Afrikaans, Albanian, Amharic, Arabic (Standard, Egyptian, Sudanese, Algerian, Moroccan, Levantine), Bahasa Indonesian, Bengali, Bhojpuri, Bulgarian, Burmese, Chinese (Mandarin [PRC/Taiwan], Cantonese, Wu, Min Nan, Jinyu, Xiang, Hakka), Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, German, Greek, Gujarati, Hebrew, Hindi, Hungarian, Italian, Japanese, Javanese, Kannada, Korean, Latvian, Lingala, Lithuanian, Macedonian, Malayalam, Marathi, Nepali, Norwegian, Odia, Persian (Farsi), Polish, Portuguese, Punjabi (Western and Eastern), Romanian, Russian, Slovak, Slovenian, Somali, Spanish, Swahili, Tagalog, Tamil, Telugu, Thai, Turkish, Ukrainian, Urdu, Vietnamese, Yoruba.
Yes. Our platform integrates with 400+ systems, including leading onboarding, compliance and CRM platforms. You can build no-code integrations using our AI integrations agent, or create custom connections with our APIs – whatever suits your proof of address processing workflow.
AI proof of address processing automates identity verification and compliance workflows across departments such as:
A proof of address optical character recognition (OCR) data extractor scans and accurately captures information from address verification documents, regardless of format or language. Upload proof of address documents in PDF, JPG or PNG formats. The OCR technology first converts the documents into a text layer, ensuring all text (even from scans, photos or handwriting) is captured. Affinda's AI models then identify and extract key fields such as names, addresses, document types, issue dates and reference numbers, transforming them into structured, usable data.This automation eliminates manual data entry, reduces errors and saves time. Once the proof of address data is captured and structured, our AI proof of address processing pipeline can apply machine validation and post-processing to enable seamless integration with onboarding, compliance and CRM systems.Organizations in financial services, banking, compliance and insurance rely on Affinda's AI for their identity verification, KYC and customer onboarding processes, streamlining workflows and improving overall efficiency.