OnUml vs qtrl.ai

AI Smart Chat

This is the star feature of OnUml. Instead of memorizing complex Mermaid syntax, you can describe your diagram needs in natural language. For example, you can type "Create a sequence diagram for a user login process with a database check" and the AI will generate the corresponding, syntactically correct Mermaid code for you. It acts as your intelligent design partner, translating your ideas into a structured diagram format instantly, which is perfect for brainstorming or quick documentation.

Live Diagram Rendering & Preview

As you type in the Mermaid editor or receive code from the AI chat, a live preview pane updates in real-time. This WYSIWYG (What You See Is What You Get) experience allows for immediate feedback. You can see exactly how your diagram will look as you build it, making it incredibly easy to spot errors, adjust layouts, and iterate on your design without any frustrating back-and-forth between coding and viewing.

Built-in Mermaid Editor with Smart Hints

For users who prefer direct control or want to fine-tune the AI's output, OnUml provides a clean, minimalist code editor dedicated to Mermaid syntax. It includes smart code hints and automatic syntax fixes to help you write valid code faster. This feature is ideal for learning Mermaid or for making precise adjustments to complex diagrams that require a developer's touch.

Diagram Export and Organization

Once your diagram is perfect, OnUml lets you export it in high-quality formats like PNG and SVG, making it simple to share in documentation, presentations, or reports. The platform also emphasizes ease of use with code saving and organization features, allowing you to keep your projects tidy and accessible for future edits, all without requiring any user registration.

Enterprise-Grade Test Management

qtrl provides a robust, centralized system for all your testing artifacts. You can create and organize test cases, build detailed test plans, and execute structured test runs. Everything is linked for full traceability, allowing you to see exactly which requirements are covered by which tests. This creates clear audit trails and is built to support compliance needs, giving managers and stakeholders complete confidence in the testing process.

Autonomous QA Agents

This is the intelligent engine of qtrl. These AI-powered agents can execute high-level instructions on demand. You can describe a test scenario in natural language, like "test the checkout flow as a guest user," and the agent will run it in a real browser. They operate within your defined rules and can run continuously across different environments, providing scalable automation that adapts to your application's changes without constant manual script updates.

Progressive Automation Model

qtrl doesn't force you to jump into full AI automation. You start where you are comfortable, writing clear test instructions for the agents to follow. As trust builds, you can let qtrl suggest and generate new tests automatically based on coverage gaps or requirement changes. Every step is reviewable and approvable, ensuring your team always stays in the driver's seat while gradually increasing efficiency.

Governance by Design

Trust and control are foundational to qtrl. The platform offers permissioned autonomy levels, so you decide how much freedom the AI agents have. There are no black-box decisions; you get full visibility into what the agents are doing. Combined with enterprise-ready security, encrypted secrets management, and the fact that secrets are never exposed to the AI, qtrl provides the governance framework necessary for serious engineering teams to adopt AI confidently.

Software Architecture Documentation

Developers and architects can quickly draft and iterate on system design diagrams, such as class diagrams, component diagrams, or deployment diagrams. By describing the system components and their relationships to the AI, they can generate visual documentation that is essential for team alignment and technical specs, speeding up the design phase significantly.

Creating Technical Tutorials and Guides

Technical writers and educators can use OnUml to effortlessly generate flowcharts and sequence diagrams to embed in tutorials, blog posts, or course materials. The AI chat simplifies the process of creating clear, visual explanations of complex processes, making technical content more engaging and easier for readers to understand.

Planning and Visualizing Workflows

Project managers and analysts can map out business processes, user journeys, or algorithm flows. By conversing with the AI to create activity diagrams or flowcharts, they can visualize steps, decision points, and outcomes, which is invaluable for process optimization, onboarding, and team discussions.

Rapid Prototyping and Brainstorming

During planning meetings or brainstorming sessions, teams can use OnUml in real-time to visualize ideas. Instead of sketching on a whiteboard, they can type a prompt like "show a user signing up, verifying email, and accessing a dashboard" and immediately get a shareable, professional diagram to center the discussion and capture decisions.

Scaling Beyond Manual Testing

For QA teams overwhelmed by repetitive manual test cycles, qtrl offers a clear path forward. They can begin by documenting their existing manual tests as structured instructions in qtrl's management module. From there, they can progressively automate the most tedious flows using the AI agents, freeing up human testers for more complex exploratory work and dramatically increasing test coverage and execution speed.

Modernizing Legacy QA Workflows

Companies stuck with outdated, script-heavy automation frameworks can use qtrl to transition smoothly. Instead of maintaining brittle scripts, teams can leverage qtrl's adaptive memory and AI agents to generate more resilient tests. The platform integrates with existing CI/CD pipelines and tools, allowing for a gradual modernization without a disruptive, all-at-once overhaul of the current process.

Ensuring Governance in Enterprise QA

Large organizations with strict compliance and audit requirements need control alongside automation. qtrl's full traceability from requirement to test execution, combined with its permissioned autonomy and detailed audit logs, makes it ideal. Engineering leads can scale QA efforts with AI while providing auditors with clear evidence of what was tested, when, and what the outcome was.

Empowering Product-Led Engineering Teams

Development teams that practice continuous deployment need fast, reliable feedback on quality. qtrl integrates into their workflow, allowing developers to write high-level test instructions for features they build. The autonomous agents can then execute these tests across environments as part of the CI/CD process, providing continuous quality feedback without requiring developers to become experts in test automation frameworks.

OnUml is a free, browser-based diagramming tool that makes creating professional UML diagrams and flowcharts as easy as having a conversation. At its heart, it leverages the power of Mermaid.js, a popular text-to-diagram library, but supercharges it with an intelligent AI assistant. This unique combination means you can either write Mermaid code directly in a sleek editor or simply describe your diagram idea in plain English, and OnUml's AI will generate the correct code for you instantly. Designed for developers, technical writers, software architects, and anyone who needs to visualize processes or system designs, it removes the steep learning curve often associated with diagramming tools. Its core value proposition is simplicity and speed: you get a real-time, WYSIWYG (What You See Is What You Get) preview that updates as you type or chat, enabling you to create, tweak, and perfect your diagrams in a single, seamless workflow without any installations or complex software.

qtrl.ai is a modern QA platform designed to help software teams scale their quality assurance efforts without sacrificing control or governance. It uniquely combines enterprise-grade test management with powerful, trustworthy AI automation. At its core, qtrl provides a centralized hub where teams can organize test cases, plan test runs, trace requirements to coverage, and track quality metrics through real-time dashboards. This structured foundation ensures clear visibility into what's been tested, what's passing, and where potential risks lie for engineering leads and QA managers.

Where qtrl truly stands apart is its progressive AI layer. Instead of forcing a risky, "black-box" AI-first approach, qtrl introduces intelligent automation gradually. Teams can start with simple manual test management and, when ready, leverage built-in autonomous agents. These agents can generate UI tests from plain English descriptions, maintain them as the application evolves, and execute them at scale across multiple browsers and environments. This makes qtrl perfect for product-led engineering teams, QA groups moving beyond manual testing, companies modernizing legacy workflows, and enterprises that require strict compliance and audit trails. Ultimately, qtrl's mission is to bridge the gap between the slow pace of manual testing and the brittle complexity of traditional automation, offering a trusted path to faster, more intelligent quality assurance.

What types of UML diagrams are supported?

OnUml, powered by Mermaid.js, supports a wide range of diagram types essential for software and system design. This includes Sequence Diagrams, Class Diagrams, State Diagrams, Entity Relationship Diagrams (ERD), User Journey Maps, Gantt Charts, Pie Charts, and more. The AI is trained to understand requests for these various types and generate the appropriate code.

How can I save my diagrams?

OnUml is designed to be simple and registration-free. You can save your diagram code directly within your browser's local storage on the device you are using. For permanent saving and sharing, you can export the final diagram as a PNG or SVG file to store on your computer or cloud drive.

Are there any usage limits?

Based on the provided information, OnUml is presented as a free tool with no mention of usage limits or tiered plans. The call-to-actions emphasize "Free, no registration required," suggesting you can use its core AI and editing features without restrictions, making it highly accessible for individuals and teams.

Will my chat content be used for AI training?

This is a common concern with AI tools. While the provided website content does not specify a detailed data policy, it's always recommended to review the tool's Privacy Policy (linked in the footer) for specifics on data handling, training, and privacy to ensure it aligns with your requirements, especially for sensitive or proprietary information.

How does qtrl's AI handle changes in my application's UI?

qtrl's autonomous agents are designed with adaptive memory. They build a living knowledge base of your application by learning from every exploration and test execution. When the UI changes, this context helps the AI understand the new structure. It can often adjust test steps automatically, and when it can't, it will flag the test for human review, making maintenance far less brittle than traditional coded automation.

Is my test data and application access secure with an AI agent?

Absolutely. Security and governance are core to qtrl's design. The platform uses enterprise-grade security practices. Crucially, any sensitive data like passwords or API keys are stored as encrypted environment secrets. These secrets are never exposed to the AI agent during execution; the system injects them securely, ensuring your credentials and data remain protected at all times.

Can I use qtrl if I only want test management without AI?

Yes, definitely. qtrl is built on a progressive automation model. You can use it solely as a powerful, structured test management platform from day one. The AI features are there to augment your workflow when you're ready. You can introduce AI-assisted test generation and execution at your own pace, starting with simple instruction-based execution and increasing autonomy over time.

How does qtrl integrate with our existing development tools?

qtrl is built to fit into real-world engineering workflows. It offers integrations for requirements management tools and full support for CI/CD pipelines. This means you can trigger test runs automatically from a pull request or a build, and feed results back into your monitoring dashboards. It's designed to work alongside your current toolchain, not replace it entirely.