10 Best Documentation Tools in 2026

Obsidian is a knowledge base that works on local Markdown files. Link notes together to build a personal wiki. Graph view visualizes connections between ideas. Hundreds of plugins extend functionality. Your notes stay in plain text files you own. The second brain that lives on your device, not someone else's server.

Eraser is an AI-powered tool designed to streamline technical design and documentation for engineering teams. It allows users to create various diagrams like cloud architecture, entity-relationship, flow charts, and sequence diagrams rapidly using a "diagram-as-code" approach, ensuring legibility and maintainability. The platform focuses on usability, providing a minimal interface to help users maintain focus. Key features include AI-powered diagram generation, integration with GitHub for creating and updating diagrams in READMEs, and an API for workflow integration. Eraserbot further enhances this by automating diagram updates directly from private Git repositories, ensuring documentation stays in sync with codebase changes. It's ideal for technical teams looking to improve efficiency, consistency, and accuracy in their system design, codebase visualization, and stakeholder communication, offering features like version history, markdown support, and various export options. Eraser is built for enterprise-level security, being SOC 2 Type 2 certified and offering SAML SSO and flexible deployment options. It caters to individuals and teams, with a free plan available for getting started, and ensures user data is not used for AI model training.

Storybook is an open-source tool for building UI components in isolation. Develop components independently outside your app. Document component APIs and usage. Visual testing catches UI regressions. Integrates with popular frameworks including React, Vue, and Angular. The workshop for building better UIs.

Jupyter is an open-source interactive computing platform where you can create and share documents containing live code, equations, visualizations, and narrative text. Jupyter Notebooks are the standard for data science, supporting Python, R, Julia, and 40+ languages. Run code cells interactively and see results immediately. Used by researchers, educators, and data scientists worldwide. The foundation of modern data science workflows.

Almanac is a modern documentation platform designed for async work. Create living documents that evolve with your team. Version control tracks every change like Git for docs. Templates and structured data make documents actionable, not just readable. Features include approvals, workflows, and integrations with Slack and GitHub. Documentation that actually keeps up with how fast teams move.

Postman is an API platform for building, testing, documenting, and sharing APIs with a collaborative workspace and powerful automation tools.

Adobe Acrobat is the industry-standard PDF solution for creating, editing, signing, and managing PDF documents. The platform offers a complete set of tools for viewing, manipulating, printing, and converting PDF files across desktop, web, and mobile devices. Acrobat Pro provides advanced features including document comparison, OCR text recognition, redaction, accessibility validation, and form creation. The AI-powered features generate summaries and insights from documents, while e-signature capabilities allow for legally binding digital signatures. Users can convert PDFs to and from Word, Excel, PowerPoint, and image formats. The Standard version covers essential PDF editing needs, while Pro adds capabilities for validating digital accessibility, advanced security features, and batch processing. Business plans offer team collaboration features with centralized license management.

Docusaurus is an open-source documentation site generator by Meta that makes it easy to build, deploy, and maintain documentation websites.

Notion is an all-in-one workspace that combines notes, docs, wikis, project management, and databases in a flexible, customizable platform.

Swimm is an Application Understanding Platform that leverages AI-powered static analysis to reverse engineer legacy code, particularly mainframe applications. It builds a knowledge base from the code, revealing architecture, patterns, and hidden logic, and creates a living inventory of programs, modules, and dependencies with explanatory names. This allows organizations to inventory, assess, and understand their systems, uncover buried business logic, and identify areas for change. The platform helps teams plan migrations, write specifications, and align around modern architecture. It provides a complete overview of a codebase's architecture, documents business logic, and automatically generates diagrams with explanations of dependencies, user screens, variables, and job flows. Swimm is designed for CIOs to accelerate timelines and de-risk initiatives, for product and analysts to create specs without relying on mainframe experts, and for developers to understand code connections. It emphasizes accurate, hallucination-free explanations through a combination of deterministic code analysis and AI, and is enterprise-grade, secure (SOC2, ISO 27001), scalable, and customizable, supporting various deployment models including on-premise and cloud.