5.0 out of 5 stars
(8 Ratings)
Foxit delivers a robust set of cloud-native APIs that enable organizations to automate and modernize document-driven workflows at scale. Built on flexible REST architecture, these APIs allow developers to seamlessly create, convert, extract, sign, and display documents within their own applications—improving efficiency while reducing manual processes.
The Foxit PDF Services API handles large-scale PDF processing, including conversion, extraction, optimization, and redaction. The Document Generation API streamlines the production of personalized PDFs and DOCX files using dynamic templates and live business data. The Foxit eSign API integrates secure, legally binding eSignature workflows with audit tracking and compliance capabilities. The PDF Embed API provides customizable in-app document viewing with support for annotations, forms, and secure user access.
Combined, Foxit APIs give enterprises a secure and scalable platform for digital document automation and workflow transformation.
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5.0 out of 5 stars
(5 Ratings)
Gaffa is a REST API built for web scraping and browser automation, allowing developers to run real, full browsers at scale with a single API call. It removes the difficulty of managing headless browser frameworks, rotating proxies, CAPTCHA solving, and scaling infrastructure, all of which are handled automatically.
JavaScript-heavy and dynamic websites render exactly as they would for a human visitor by default. Beyond standard scraping, Gaffa supports AI-driven structured data extraction (extract data into a defined schema without writing CSS selectors), screenshot and PDF capture, infinite-scroll and form-filling automation, and clean Markdown conversion for feeding webpages directly into LLM and RAG pipelines.
A rotating residential proxy network keeps access reliable across regions, and a credit-based pricing model means teams pay only for the browser time and bandwidth they actually use. Gaffa is designed for AI engineers, data teams, and developers who want production-grade web data extraction without having to build and maintain their own infrastructure.
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Quiver
5.0 out of 5 stars
(1 Rating)
Quiver is an innovative notebook designed specifically for developers, allowing for seamless integration of text, code, Markdown, and LaTeX all within a single note. Users can edit their code using a powerful code editor, enjoy live previews of their Markdown and LaTeX, and quickly locate any note through comprehensive full-text search capabilities. Each note in Quiver consists of various cells that can contain snippets of text, code, Markdown, LaTeX (utilizing MathJax), or diagrams, such as flowcharts and sequence diagrams, enabling a flexible approach to note-taking. Notably, you can incorporate multiple types of cells within one note and assign different programming languages to various code cells as needed. The notebook is engineered to simplify code editing, featuring the remarkable ACE code editor in its code cells, which supports syntax highlighting for over 120 programming languages, boasts more than 20 themes, and includes automatic indenting and outdenting functionalities. Quiver also allows users to format their Markdown with inline options and apply custom CSS styles, while a live preview window displays the rendered Markdown in real-time as you type. Additionally, Quiver employs MathJax to effectively typeset complex mathematical equations written in LaTeX, enhancing its utility for technical documentation. Overall, Quiver stands out as a versatile tool for programmers who desire an efficient and organized way to manage their notes and code snippets.
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MassiveMark
5.0 out of 5 stars
(1 Rating)
MassiveMark by BibCit is a powerful AI-driven document conversion tool designed to convert Markdown content seamlessly into Word (DOCX), HTML, or PDF while preserving all formatting details. It handles complex Markdown features including headings, lists, bold text, blockquotes, tables, code snippets, mathematical equations, and syntax highlighting, ensuring output documents retain their original structure and style. Users can copy Markdown content from AI chatbots or other sources and paste it into the MassiveMark Playground to view a perfectly rendered preview. Download options include editable DOCX files—where equations remain fully modifiable—and PDF formats. MassiveMark also provides an API endpoint, allowing developers to integrate its conversion capabilities directly into their own software tools and automate document generation. This combination of ease-of-use and API accessibility makes it suitable for both individual users and enterprise environments. The platform emphasizes accuracy and formatting fidelity, crucial for technical documentation, academic papers, and developer content. Its intuitive interface and robust backend ensure a smooth user experience across diverse use cases.
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