Amazon Textract
Amazon Textract is a fully managed machine learning service that automatically extracts text and data from scanned documents that goes beyond simple optical character recognition (OCR) to identify, understand, and extract data from forms and tables. Many companies today extract data from scanned documents, such as PDF's, tables and forms, through manual data entry (that is slow, expensive and prone to errors), or through simple OCR software that requires manual configuration which needs to be updated each time the form changes to be usable. To overcome these manual processes, Textract uses machine learning to instantly read and process any type of document, accurately extracting text, forms, tables, and, other data without the need for any manual effort or custom code. With Textract you can quickly automate manual document activities, enabling you to process millions of document pages in hours.
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DigiParser
DigiParser is a document workflow automation platform that simplifies data extraction from documents like invoices, contracts, forms, resumes, and receipts.
It uses advanced OCR and machine learning to extract, validate, and process data, converting documents into structured JSON or CSV formats. Users can create custom parsers for their documents, automate workflows, and integrate the extracted data into tools like Zapier, QuickBooks, Xero, Salesforce, Google Sheets, etc.
DigiParser supports team collaboration with flexible billing options, allowing multiple team members to work on different parsers. With features like schema customization, review stages, and workflow automation, it ensures high accuracy in data extraction while saving time and reducing manual work.
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Koncile
Koncile Extract is an advanced data extraction platform designed to automate and streamline the retrieval of structured information from complex documents. Leveraging AI-powered parsing and deep learning, it enables businesses to extract precise data from PDFs, emails, and scanned documents with unmatched accuracy. Unlike traditional tools, Koncile Extract offers highly customizable extraction rules, allowing users to tailor the process to their unique needs. With seamless integrations into existing workflows, it enhances efficiency and reduces manual processing time—making it an essential tool for data-driven organizations.
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Box Extract
Box Extract is an AI-powered data extraction solution that intelligently identifies, retrieves, and converts structured information from unstructured content such as documents, spreadsheets, PDFs, images, and other file types into metadata that can be stored, searched, and used to automate business processes. It combines advanced large language models, integrated OCR, chain-of-thought prompting, extraction-specific retrieval-augmented generation, and agentic reasoning techniques to understand document meaning and structure with high accuracy, without requiring custom model training or heavy configuration. Users can choose between Standard and Enhanced Extract Agents, handling everything from basic fields like names, dates, and amounts to complex items such as risky clauses, tables, and graphs, and build Custom Extract Agents with configurable metadata templates that run at scale across folders and repositories.
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