Across all industries and verticals, customers and clients submit a diverse range of document types as part of onboarding and approval processes — for example:
Current manual or rules-based solutions are outdated, and introduce unnecessary inefficiencies and errors throughout every onboarding pipeline:
Enter Affinda, whose AI-powered data extraction solution processes documents across a wide range of different formats.
Our deep-learning neural network solution is able to read any document format, and consistently extract the most relevant information from customer and client documents with better-than-human-level accuracy.
Affinda’s inbuilt intelligent OCR is capable of reading scanned documents, and even photos of documents. Our invoice reader can understand a wide range of formats, including PDF, JPG, PNG, word, and more. The vast proportion of fields can be automatically extracted with better-than-human level accuracy.
This intelligent document automation can streamline processes for many organizations that receive documents from end-users throughout the customer and client lifecycle, including:
Want to double-check results? Simple! Affinda’s deep-learning document parser makes it easy to examine and verify results in just seconds — giving you a built-in tool for making sure all extracted data meets your standards. You can even amend and make notes on sample output, and feed those notes directly back into the AI.
This ROI will continue to increase through ongoing usage, as the model gets even better at recognizing the types of documents and formats that are specific to your organization.
We can deploy our solution in whatever way best suits your needs — whether that’s by generating JSON and XML output, or a user-friendly web interface.