Video Analysis enables automated detection of gameplay issues by analyzing videos from game runs or manual uploads. When enabled for a project, the system uses AI to identify potential problems and generate issue reports based on the findings.

Use case

The Video Analysis tool is designed to automatically detect a range of visual defects within game builds, such as graphical bugs, UI/UX glitches, gameplay anomalies, and localization problems. By integrating this tool into their workflow, QA teams can begin each day with greater confidence, knowing that a baseline of visual issues has already been identified. The system uses a learning approach that improves over time with examples. As QA teams review and provide feedback on detected issues, the tool continuously refines its accuracy and overall detection quality.

Learn more:

For details on how the analysis works, see How video analysis works.
For automatic analysis flow, see Automatic analysis of run videos.
For instructions on uploading videos directly, see Upload video for analysis.
For details on the generated visual reports, see Visual analysis report.
To provide feedback on generated reports, see Give feedback with example reports.
To review and update the example reports, see Example reports.

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Quickstart guide	How video analysis works