4.2 out of 5 stars
(172 Ratings)
Apryse (formerly PDFTron) transforms how organizations manage documents.
Built for both server and web applications, Apryse empowers businesses and developers to securely handle the entire document lifecycle — from creation and collaboration to compliance and archiving — without relying on third‑party services.
With Apryse, you can:
Run at enterprise scale on your own infrastructure, ensuring privacy, compliance, and maximum control.
Deliver modern, in‑browser document experiences with fast, accessible viewing, editing, and collaboration tools.
Integrate seamlessly across platforms, supporting PDF, Microsoft Office, CAD, and many other file types.
Streamline workflows and reduce costs with technology trusted by leading enterprises worldwide.
Apryse makes document workflows smarter, faster, and more secure — so teams can focus less on manual processes and more on meaningful work.
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4.9 out of 5 stars
(8 Ratings)
ARGOS Identity helps compliance and operations teams verify people and review documents with two products: ARGOS ID Check and ARGOS Omni.
With ARGOS ID Check, users verify themselves in a hosted flow: they capture their ID, take a selfie and pass a liveness check, and the result arrives as approved, rejected or pending. Behind it, ID Check reads 4,000+ ID document types from 200+ countries, checks the ID for forgery, matches the face to the ID photo, screens users against sanctions and PEP lists and keeps monitoring them. Your team sets the approval thresholds and custom policy rules, and cases that need judgment go to reviewers as pending.
With ARGOS Omni, a Review Ops Agent, reviewers write their criteria in plain language. Omni turns them into a playbook and reviews each case the way the team would: it checks that the required documents are there, extracts and compares the data, screens names against AML watchlists, and returns verified, rejected or pending_review with the reason and evidence for every decision. Teams use it for business customer onboarding (KYB), vendor onboarding, corporate telecom subscription review and insurance claims.
Pricing is usage-based and quoted by sales.
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Docling
Docling is an intuitive, standalone open-source toolkit available under the MIT license that streamlines the process of converting chaotic documents into well-structured data, thus improving subsequent document handling and AI processes. This multifunctional tool can handle a diverse range of file formats, such as PDF, DOCX, PPTX, XLSX, HTML, Markdown, AsciiDoc, CSV, images, and audio files, including those from scanned documents by utilizing any chosen OCR engine. With its ability to recognize and process a variety of elements like tables, formulas, reading sequences, bounding boxes, headers, footers, images, captions, code snippets, list items, and paragraphs, Docling significantly enhances the searchability and integration of extracted content into AI systems, retrieval-augmented generation, and agent-based applications. Additionally, it supports exporting the processed data into several formats, including JSON, plain text, Markdown, HTML, and Doctags, giving developers flexible options for their application and development workflows. By systematically organizing and managing components according to reading order, Docling effectively breaks documents into smaller, cohesive text segments, thereby optimizing the overall processing experience and making it easier for users to access the information they need. As a result, organizations leveraging Docling can dramatically improve their document management and data utilization strategies.
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T-NEX Document AI
T-NEX Document AI provides an adaptable solution for businesses seeking to efficiently integrate information from a variety of documents into their operational systems. Each T-NEX project is customized based on the types of documents involved, the specific data fields to be extracted, the sample documents submitted, the preferred data formats, and any review processes needed. The system is capable of document classification, value extraction, associating these values with their sources, and pinpointing any ambiguous or incomplete data that may require human review. After the data has been verified, it can be delivered in a format agreed upon by both parties, whether that be a file transfer or a specific API connection for the project. The assessment process utilizes representative documents with varying layouts to evaluate the recognition capabilities and the amount of correction needed for the defined fields. Targeted primarily at small and medium-sized businesses, startups, and diverse teams within organizations, this solution is especially effective for handling documents such as order confirmations and reports. Additionally, the T-NEX solution is designed as a bespoke project, ensuring that implementations and direct integrations are customized to address the specific demands of each organization. This level of customization not only enhances efficiency but also allows businesses to maintain high standards of accuracy in their document management processes. By leveraging T-NEX Document AI, companies can simplify their workflows and focus on their core operations more effectively.
Learn more about T-NEX Document AI