Measure streaming delay across every delivery stage. Adjust bitrate, RTT, chunks, and buffers confidently today. See faster decisions with charts, exports, and practical benchmarks.
Use the protocol menu to match a workflow. You can keep the preset values or fine-tune every delay component manually.
The calculator estimates glass-to-glass delay by combining payload size, transport speed, buffer waiting, and fixed processing stages.
| Scenario | Protocol | Bandwidth | Payload bitrate | Segment | Buffer delay | Total latency | Class |
|---|---|---|---|---|---|---|---|
| Traditional live HLS | HLS | 12.32 Mbps | 6.11 Mbps | 6.00 s | 18,000 ms | 22.46 s | Very high |
| Low-latency HLS | LL-HLS | 10.56 Mbps | 5.09 Mbps | 1.00 s | 900 ms | 2.25 s | Low |
| Interactive webinar | WebRTC | 9.00 Mbps | 2.91 Mbps | 0.10 s | 15 ms | 0.46 s | Ultra-low |
| Contribution link | SRT | 18.40 Mbps | 8.60 Mbps | 0.25 s | 63 ms | 0.68 s | Ultra-low |
It estimates end-to-end streaming latency from source capture to viewer playback. The model combines bitrate, bandwidth, buffering, protocol overhead, network delay, packet loss recovery, and player processing.
Longer segments make players wait longer before enough media is available. That usually increases startup delay and overall live latency, especially in traditional segment-based delivery workflows.
Chunk factor estimates how much of a full segment must accumulate before playback can continue. Lower values represent chunked transfer, partial segments, or tightly pipelined delivery.
No. Strong bandwidth helps, but encoder delay, buffer depth, segment length, CDN processing, RTT, and player design can still keep latency high.
Margin ratio compares effective bandwidth with payload bitrate. Higher values mean more delivery headroom. Low ratios suggest congestion risk and unstable playback during traffic spikes.
No. Real platforms add device-specific, CDN-specific, and player-specific behavior. This tool is best for planning, comparison, and sensitivity testing before deeper measurement.
Interactive stacks like WebRTC usually target the lowest delays. LL-HLS and LL-DASH can also perform well when segmenting, buffering, and edge delivery are tuned carefully.
Safety margin covers unknowns such as clock drift, device overhead, transient congestion, and player cushions. It keeps estimates practical instead of unrealistically optimistic.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.