qtrl.ai vs Recall.ai

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.

Meeting Bot API

The Meeting Bot API allows you to record video conferences by deploying a bot that joins the call. This feature is particularly useful for scenarios where explicit recording consent is necessary, such as in legal or sensitive environments, or for creating AI agents that can interact with the meeting content in real-time.

Desktop Recording SDK

The Desktop Recording SDK enables users to record video conferences and in-person meetings through a dedicated desktop application. This feature is designed for those who prefer a more discreet recording method, eliminating the need for a bot to join the call while still capturing high-quality audio and video.

Real-time Transcripts

One of the standout features of Recall.ai is its ability to provide real-time transcripts during meetings. This capability allows participants to follow along with the conversation, ensuring that key points are captured as they happen, which can significantly enhance understanding and retention.

Separate Participant Streams

Recall.ai offers the ability to capture separate audio and video streams for each participant in a meeting. This feature is invaluable for post-meeting analysis, as it allows users to isolate individual contributions, making it easier to review and understand discussions.

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.

Enhancing Legal Compliance

Law firms and legal departments can utilize Recall.ai to record and transcribe meetings while ensuring compliance with recording consent regulations. By using the Meeting Bot API, legal professionals can capture important discussions without risking non-compliance.

Streamlining Internal Communication

Companies can leverage Recall.ai to improve internal communication by recording and transcribing team meetings. This practice ensures that all team members, including those who could not attend, have access to critical information and discussions.

Supporting Remote Education

Educational institutions can use Recall.ai to record lectures and seminars for remote learning. By providing students with access to recorded sessions and transcripts, schools can enhance learning opportunities and ensure that all students have access to the same information.

Facilitating Customer Support

Businesses in customer service can implement Recall.ai to record support calls and meetings with clients. This feature enables teams to review interactions, gather insights, and improve service quality based on actual conversations, ultimately leading to better customer experiences.

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.

Recall.ai is a powerful API designed specifically for capturing recordings, transcripts, and metadata from popular meeting platforms such as Zoom, Microsoft Teams, and Google Meet. With its versatile functionality, Recall.ai allows businesses to effortlessly integrate meeting recording capabilities into their applications, enabling them to enhance communication and collaboration. Whether you need to send meeting bots to join calls for recording or develop desktop applications for a seamless recording experience, Recall.ai has you covered. Its infrastructure is trusted by thousands of companies, enabling them to build sophisticated recording features in days instead of months. By leveraging Recall.ai, organizations can improve productivity, ensure compliance, and maximize the value of every meeting with accurate transcripts and detailed metadata.

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.

What platforms does Recall.ai support?

Recall.ai supports major meeting platforms including Zoom, Microsoft Teams, and Google Meet, allowing users to capture recordings and transcripts across these services effortlessly.

How does the Meeting Bot API ensure compliance?

The Meeting Bot API is designed to join calls explicitly and notify participants when recording is taking place, ensuring that all legal requirements for consent are met during meetings.

Can I customize the recording experience with Recall.ai?

Yes, Recall.ai offers a range of customizable features, including the ability to capture separate audio and video streams for each participant, enhancing the flexibility of the recording process.

What types of metadata can I obtain from Recall.ai?

With Recall.ai, users can retrieve a wealth of metadata including participant names, emails, meeting duration, chat messages, and more, providing comprehensive insights into each meeting.