A programming interface known as a Document Data Extraction API, also referred to as a Data Extraction API, is a technology that analyzes a structured document and returns key / value pairs. These are sets of two items within a document—a label or key and its corresponding data (a value).
Depending on the needs of the application, the extracted data may contain text, numbers, dates, locations, and other pertinent information. This technique is frequently utilized in situations when data needs to be extracted from documents for subsequent processing, including document management, data input automation, content indexing, and many more situations.
You can use Data Extraction in numerous fields, here are some examples of common use cases:
While comparing Document Data Extraction APIs, it is crucial to consider different aspects, among others, cost security and privacy. Data Extraction experts at Eden AI tested, compared, and used many Data Extraction APIs of the market. Here are some actors that perform well (in alphabetical order):
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Amazon Textract is a machine learning (ML) service that uses scanned documents to automatically extract text, handwriting, and data. To recognize, comprehend, and extract data from forms and tables, it goes beyond simple optical character recognition (OCR). Textract uses machine learning to accurately extract text, handwriting, tables, and other data from any form of document without the need for personal intervention. Whether you're automating the loan application process or extracting data from invoices and receipts, you can process documents fast and take action on the information extracted. Instead of taking hours or days to extract the data, Textract can do so quickly.
Base64.ai is artificial intelligence software that can swiftly and accurately extract OCR text, data, handwriting, and images from a variety of documents, including ID cards, licenses, and much more. For most document kinds, it provides 99% accuracy. OCR, data extraction, and integration often take less than three seconds. It instantly determines the document type, extracts the necessary information, validates the results, and integrates them into the client's systems while saving the client thousands of staff hours each month through automated document processing.
Machine learning models from Butlerlabs called document extraction models can be used to extract important data from your documents. Predefined and customized models fall into two different categories of document extraction. The easiest and most precise document extraction is this one. It makes use of cutting edge ML to guarantee extraction accuracy of 95% or more on any document, tailored to your specific use case.
A Google Cloud service called Document AI is made to automatically extract data from scanned or digital documents. It can recognize and extract tables, key-value pairs, and structured data from documents like invoices, contracts, and more, making it simpler to comprehend, process, and use. It aids in the development of scalable, end-to-end, cloud-based document processing systems using machine learning and Google Cloud.
FormX is a data extraction tool that converts information from physical documents into structured digital data using artificial intelligence (AI). The data extraction process is API-based, and JSON-formatted results are returned. It has preconfigured data extraction models for the majority of official licenses, identity cards, and common shopping receipts. It's a straightforward solution that works with any software and is developer- and business-friendly!
Data Extraction API performance can vary depending on a number of variables, including the technology used by the provider, the underlying algorithms, the amount of the dataset, the server architecture, and network latency. Listed below are a few typical performance discrepancies between several Data Extraction APIs:
To start using Data Extraction you need to create an account on Eden AI for free. Then, you'll be able to get your API key directly from the homepage and use it with free credits offered by Eden AI.
Eden AI stands out as an exceptional platform that harnesses the power of the best Document Data Extraction APIs available. By integrating cutting-edge technologies, Eden AI ensures high accuracy, speed, and versatility in extracting data. Upload the document (PNG, JPG or PDF) to extract the data.
You can then compare the different responses you get from the different providers:
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Companies and developers from a wide range of industries (Social Media, Retail, Health, Finances, Law, etc.) use Eden AI’s unique API to easily integrate Document Data Extraction tasks in their cloud-based applications, without having to build their own solutions.
Eden AI offers multiple AI APIs on its platform among several technologies and specifically Document Parsing APIs like Invoice parser, Resume parser, ID parser, Receipt parser and many more!
We want our users to have access to multiple Docment Data Extraction engines and manage them in one place so they can reach high performance, optimize cost and cover all their needs. There are many reasons for using multiple APIs :
Eden AI has been made for multiple AI APIs use. Eden AI is the future of AI usage in companies.
You can see Eden AI documentation here.
The Eden AI team can help you with your Document Data Extraction integration project. This can be done by :
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