FPS Viewer

A precise FPS viewer that analyzes frames per second from videos or live streams to help gamers and developers optimize performance.

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About This Tool

The FPS Viewer analyzes frame timing data from video files or live streams to produce reliable FPS metrics. It outputs per-interval FPS series, averages, and percentile measures that support performance comparisons across hardware, software builds, or visual settings. Conceptually, it samples frame timestamps, aligns them to a monotonic clock, and computes statistics that reflect real-world rendering behavior. Users benefit from objective data to diagnose stutter, frame pacing irregularities, and peak vs. median performance. Unique value lies in configurable intervals, robust outlier handling, and API access for automated pipelines. Core features include source configuration, interval-based FPS calculation, and export options for CSV/JSON. Use cases span QA validation, CI performance checks, and post-patch analysis for smoother gameplay. The tool emphasizes reproducibility and interoperability with standard data formats, enabling cross-project benchmarking and documentation.

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How to Use

Provide inputs: choose source type (video file or live stream) and specify the file path or stream URL.
Configure measurement: set the analysis interval, sampling rate, and optional outlier filters.
Run analysis: execute the FPS measurement to produce per-interval and aggregate metrics.
Review outputs: examine FPS series, averages, and percentile values.
Export results: download CSV or JSON for reporting or CI workflows.

Frequently Asked Questions

Find Quick Answers

What sources are supported?

The tool accepts common video files (MP4, MKV, AVI) and live feeds via a capture interface or streaming URL. It does not transcode media or perform codec analysis; it focuses on timing measurements of rendered frames.

How accurate is the FPS measurement?

Accuracy depends on timestamp precision and the consistency of the source. The tool uses a monotonic clock and excludes extreme gaps as dropped frames, providing interval-based FPS that reflects actual rendering cadence under test conditions.

How should I interpret the results?

High median FPS indicates smooth playback, while large variance or high P95 values suggest intermittent drops or stutter. Use per-interval data to identify scene types or settings that trigger instability and compare across configurations.

What are the tool's limitations?

It does not analyze audio, perform transcoding, or diagnose hardware issues beyond frame timing. Very long runs may require streaming or chunking to manage memory, and clocks across devices must be reasonably synchronized for best results.

Need to run multiple calculations?

Create a free account today to unlock unlimited daily runs, access advanced parameters, save your history, and request custom features.

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