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Download our framework for the essential features and capabilities you should be looking for in a document processing solution.
Introducing Search AI by Base64.ai, an innovative document search engine that finds all relevant documents based on natural language queries, using either words or your microphone. Search AI surpasses the limitations of traditional document search engines, such as Google Drive's search tool, which relies only on the file name and OCR from a document. What makes Base64.ai Search AI unique is its ability to search based on casual queries, such as “show me driver licenses that aren’t expired”. Base64.ai Search AI understands documents beyond text including the document type (e.g. “search driver licenses”), key-value pairs (e.g., first name=John, last name=Doe), custom taxonomy, data normalization, and AI features (e.g., number of signatures, number of faces, image blur and glare).
Ozan Bilgen, CEO of Base64.ai, the Artificial Intelligence Platform for Documents, has been accepted into the prestigious Forbes Business Council, the foremost growth and networking organization for successful business owners and leaders worldwide. “I am honored to join the Forbes Business Council,” Ozan Bilgen says, “I will continue to be delighted to share my experience with businesses and fellow entrepreneurs via Forbes.com, which has a tremendous role in moving technology and business forward.”
Base64.ai's patent-pending Segmentation AI is a solution that helps our AI detect two or more documents in a single image (or page) and automatically crop them for processing them individually. Base64.ai is the only AI in the world that automatically detects and separates distinct documents within an image, solving the problem of time-consuming manual cropping and processing inaccuracies. Segmentation AI understands the physical boundaries of documents, such as multiple IDs or receipts in one image, crops each document, and processes each separately for the most accurate results.
Meet our latest AI feature, the Questions and Answers AI, which extracts data from unstructured documents such as letters, contracts, and itineraries! This advanced tool is supplemental to our Semantic AI that pulls data from documents with tables and forms. Harnessing Large Language Models (LLMs) and using Base64.ai's loved easy-to-use user experience, the Questions and Answers Feature eliminates the need for engineering to extract data from all documents.
Industry: BankingLocation: EuropeUse case: A custom model for bank documents, government documents, signature-matching AI
Most documents don’t follow a standardized naming convention for their field names, making it a challenge to normalize the extracted data points across documents with different formats. Even though your system expects a specific phrase, the same field in one document may have another name for the same key in another document. This discrepancy in phrasing can cause the system to fail when trying to recognize the expected key and extract the corresponding value. Taxonomy addresses these issues by understanding the various naming conventions associated with the same key in a workflow. This means that even if a company reviews multiple document types for the same values, different keys will not go unnoticed, ensuring smooth document data extraction.
