Apryse (formerly PDFTron) makes documents work harder for you.
We give organizations the power to handle the full document lifecycle — from secure server-side processing to smooth web-based collaboration — without relying on third-party services.
With Apryse, you can:
Integrate advanced document capabilities like viewing, editing, annotation, and e-signature directly into your applications.
Deploy on your own infrastructure for maximum control, privacy, and compliance.
Scale effortlessly with technology built for high-volume, enterprise-grade workflows.
Deliver modern web experiences that are fast, accessible, and reliable across browsers and devices.
Trusted worldwide, Apryse helps enterprises, developers, and small businesses simplify workflows, cut costs, and deliver better digital document experiences.
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Nutrient provides an extensive solution for all your PDF requirements, delivering tools that seamlessly operate PDF features across any platform.
1. SDK: Incorporate advanced PDF functionality into iOS, Android, Windows, web, or any cross-platform technology, supplying abilities like PDF viewing, annotation, collaboration, and beyond.
2. Libraries: Employ our powerful .NET and Java libraries to enhance your backend applications with batch processing of redactions and PDF forms, OCR'd scanned text, and PDF document editing, all directly from your application server.
3. Processor: Our agile PDF microservice, Processor, enables rapid generation of PDFs from HTML, including HTML forms, as well as Office-to-PDF conversions, OCR, redaction, and XFDF combining and exporting.
4. PDF API: Take advantage of our hosted PDF API to generate, convert, and alter PDF documents in your workflows. We handle the development and server management, freeing you up to concentrate on your business.
At Nutrient, we're not just a tool; we're a committed ally in your success. Gain direct contact with our engineers for expert guidance, utilize comprehensive examples to simplify integration, and make the most of our top-tier documentation.
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Parsebridge
Parsebridge is an innovative PDF parsing API designed to convert PDFs into well-structured Markdown format. This tool efficiently extracts text, tables, and various data from PDF files, catering specifically to developers who require dependable document parsing capabilities at scale. It can adeptly manage complex PDFs, including those with intricate tables, multi-column layouts, nested structures, and scanned pages—all within a single API call, effectively transforming challenging elements that often confuse other parsers into usable Markdown. With the ability to accurately parse merged cells, nested headers, and sophisticated layouts, users can expect clear and precise outputs rather than jumbled results. Additionally, Parsebridge offers the convenience of live testing, allowing users to either paste a PDF URL or upload a document directly to the preview page to generate Markdown without the need for an account. Currently, it exclusively supports PDF files, prioritizing high extraction quality for documents up to 100MB in size. Utilizing Docling, an open-source parser renowned for its excellence in table extraction and layout preservation, Parsebridge manages the necessary infrastructure, OCR, scaling, and the API layer, ensuring a seamless user experience. This comprehensive approach makes Parsebridge a valuable tool for anyone needing reliable PDF parsing solutions.
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Tensorlake
Tensorlake serves as a cutting-edge AI data cloud that efficiently converts unstructured data into formats suitable for AI applications. It adeptly transforms various content types, including documents, images, and presentations, into structured JSON or markdown segments that facilitate easy retrieval and analysis by large language models. The document ingestion APIs are capable of handling a wide range of file types, from handwritten notes to PDFs and intricate spreadsheets, while executing post-processing tasks such as chunking and preserving the original reading order and layout. With its serverless workflows, Tensorlake provides rapid end-to-end data processing, empowering users to create and implement fully managed Workflow APIs in Python that can scale down to zero when not in use and seamlessly scale up during data processing tasks. Additionally, it is designed to process millions of documents simultaneously, ensuring that context and interrelations among different data formats are preserved, while also offering robust, role-based access control to enhance team collaboration. This flexibility and efficiency make Tensorlake an invaluable tool for organizations looking to streamline their AI data preparation processes.
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