![]() ![]() This processor also leverages deep learning models to extract generic entities that are common in various document types, meaning it can identify if something is an email address, phone number, datetime, organization, quantity, price, person, and more. It automatically identifies and extracts data from form fields (key-value pairs), such as names, addresses, dates, and other types of structured data even checkboxes and tables. This general processor is designed to extract structured data from forms such as application forms, surveys, and questionnaires. Let's look closer at a few of the processors available in Document AI, including the Form Parser, Invoice Parser, Expense Parser, Identity Document Proofing Parser, and Intelligent Document Quality Processor. These processors can be customized and combined to create powerful document processing workflows that are tailored to a business's unique needs. Within the specific document types, the processors can perform several tasks such as Optical Character Recognition (OCR), form parsing, splitting, classification or entity extraction. Visualization of example output from Contract Parserĭocument AI offers several pre-built models and processors that are specifically designed to extract different types of data from various document types. Document AI, on the other hand, can actually interpret the meaning of the text and extract key information such as parties involved, terms and conditions, dates, and signatures. Traditional OCR technology might be able to extract the text from the document, but it would not be able to understand the legal terms and clauses within it. This goes beyond simply recognizing the characters and words within a document (which is what traditional OCR technology does) - Document AI can actually comprehend the meaning behind the text.įor example, let's say you have a contract that needs to be processed. When we say that Document AI can understand documents, we mean that it is able to analyze the content within documents and derive meaningful insights from it. So let's take a look and see what it can do! Understanding documents with Document AI Whether you're a small business owner or an enterprise looking to bring efficiency to your operations, Document AI has something to offer. By using this technology, you can streamline your document processing workflows, reduce errors, and unlock insights that were previously buried in mountains of paperwork. These represent just a few of the thousands of types of documents a business might deal with on a daily basis.ĭocument AI is a document understanding platform in Google Cloud that takes unstructured data from documents and transforms it into structured data, making them easier to understand, analyze, and consume. Some sample input files generated using fictional information. Unfortunately, making the information contained in these documents accessible can be a time-consuming and manual process. ![]() The variety is vast: invoices, contracts, receipts, applications, plus documents unique within industries and geographies. In addition, we offer a math/equation detection module for your specialized OCR needs.Editor's note: In this post, I'll be showing some amazing ways Document AI can help you extract meaning from your documents - keep reading, or jump directly into a tutorial using the Cloud Console!ĭocuments are a crucial part of most businesses, used to store and communicate important information. Recognition languagesFree online OCR service offers recognition in a wide variety of languages, including Afrikaans, Amharic, Arabic, Assamese, Azerbaijani, Belarusian, Bengali, Tibetan, Bosnian, Breton, Bulgarian, Catalan, Valencian, Cebuano, Czech, Chinese (Simplified and Traditional), Cherokee, Welsh, Danish, German, Dzongkha, Greek (Modern and Ancient), English, Esperanto, Estonian, Basque, Persian, Finnish, French, Frankish, Irish, Galician, Gujarati, Haitian Creole, Hebrew, Hindi, Croatian, Hungarian, Inuktitut, Indonesian, Icelandic, Italian, Javanese, Japanese, Kannada, Georgian, Kazakh, Central Khmer, Kirghiz, Korean, Kurdish, Lao, Latin, Latvian, Lithuanian, Luxembourgish, Malayalam, Marathi, Macedonian, Maltese, Mongolian, Maori, Malay, Burmese, Nepali, Dutch, Norwegian, Occitan, Oriya, Panjabi, Polish, Portuguese, Pushto, Quechua, Romanian, Russian, Sanskrit, Sinhala, Slovak, Slovenian, Sindhi, Spanish, Albanian, Serbian, Sundanese, Swahili, Swedish, Syriac, Tamil, Tatar, Telugu, Tajik, Tagalog, Thai, Tigrinya, Tonga, Turkish, Uighur, Ukrainian, Urdu, Uzbek, Vietnamese, Yiddish, and Yoruba. ![]()
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