Lower Larix Broadcaster’s outgoing video bitrate to reduce the data your YouTube Live stream sends, then test on the same mobile connection you plan to use. As a rough estimate, each 1 Mbps of constant bitrate uses about 450 MB of encoded data per hour. Start with a manageable resolution such as 720p at 30 fps, check YouTube’s current encoder guidance and stream-health status, and adjust based on image quality and your phone’s actual output.
What to change first in Larix
The main control for upload-data use is the video bitrate: less encoded data sent per second means less payload over the course of a broadcast. In Larix, open the video or encoder settings and look for the bitrate control. Exact labels vary by app version and operating system, so the setting may not appear in precisely the same place on every phone.
- Choose a starting resolution and frame rate. For a data-conscious first test, try 720p at 30 fps. This is a practical starting point, not a guaranteed best setting for every scene or connection.
- Set a lower bitrate target if needed. YouTube’s H.264 guidance lists 8 Mbps for 720p30. A lower target can save data, but it is below YouTube’s listed recommendation; test for acceptable picture quality and stable ingest rather than assuming it will work well.
- Test the scene you will actually stream. Include representative movement and audio. YouTube recommends testing with audio and video movement similar to the real broadcast and monitoring stream health (YouTube live encoder settings).
- Adjust one thing at a time. If data use is still too high, lower the bitrate target. If the image becomes too poor or delivery unstable, try a lower output resolution and, where the content allows, a lower frame rate, then test again.
Fast movement generally needs more bits to look clear than a relatively static talking-head scene, but the available guidance does not provide a numeric motion-based adjustment. Judge the result in a test rather than applying an invented percentage.
How much data a live stream uses per hour
For a constant bitrate, estimate encoded payload with this formula:
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Approximate data in MB = bitrate in Mbps × 450 × duration in hours
| Bitrate | Approximate encoded payload per hour |
|---|---|
| 1 Mbps | 450 MB |
| 2 Mbps | 900 MB |
| 4 Mbps | 1,800 MB (about 1.8 GB decimal) |
These are arithmetic estimates, not measurements of a particular Indian carrier’s billing. They cover encoded stream payload, not all cellular accounting: protocol overhead, retransmissions, bitrate variation, and other phone traffic can increase what the network records. For example, a one-hour stream averaging 2 Mbps is about 900 MB of encoded payload before those additions.
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Choose a bitrate that balances data and YouTube ingest
YouTube’s H.264 encoder recommendations below are from its official help page as accessed in 2026. They are quality and ingest guidance, not a mobile-data-saving cap.
| YouTube ingest setting | Recommended H.264 bitrate |
|---|---|
| 360p30 | 4 Mbps |
| 480p30 | 4 Mbps |
| 720p30 | 8 Mbps |
| 720p60 | 8 Mbps |
| 1080p30 | 14 Mbps |
| 1080p60 | 17 Mbps |
At those constant bitrates, the formula estimates about 1,800 MB per hour at 4 Mbps, 3,600 MB per hour at 8 Mbps, 6,300 MB per hour at 14 Mbps, and 7,650 MB per hour at 17 Mbps, before overhead. If your data allowance is the priority, a lower resolution and frame rate can reduce the bitrate needed for a usable picture. A lower bitrate than YouTube’s listed recommendation may still be worth testing, but neither stable delivery nor a particular visual result is guaranteed.
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YouTube also recommends CBR (constant bitrate) encoding and a keyframe interval of 2 seconds, not exceeding 4 seconds; audio can be AAC or MP3. Use these as YouTube-side encoder guidance where Larix and the device expose the relevant options. Phone encoder limitations may restrict what you can set.
Know what Larix and your phone will actually honor
Larix uses the device’s system encoder, so a typed or selected value is a target rather than a guarantee of a precise output. Its official FAQ says Android lets users type a bitrate, while iOS provides predefined values; iOS also chooses a default based on resolution (Larix Broadcaster FAQ).
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Larix lists these resolution-based defaults: 2160p, 4,500 Kbps; 1080p, 3,000 Kbps; 720p, 2,000 Kbps; 540p, 1,500 Kbps; 480p, 1,000 Kbps; 360p, 700 Kbps; 288p, 500 Kbps; and 144p, 300 Kbps. These are Larix defaults, not YouTube recommendations. The FAQ says HEVC halves those defaults and 50 fps or above multiplies them by 1.6.
On Android, variable-bitrate quality-floor behavior can push the actual bitrate above a low target. Larix says a device with CBR support is needed to hold a low bitrate regardless of quality. Larix also cannot precisely control frame rate: iOS output can vary, and Android’s selected frame-rate range is a recommendation to the encoder. Check session statistics when available and estimate from the actual average rather than assuming the requested value was delivered.
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Adaptive bitrate and multiple destinations
Adaptive bitrate
Larix offers adaptive-bitrate modes that react to delivery or network conditions; they do not manage a monthly data budget. Depending on mode, protocol, operating system, and network conditions, bitrate may rise again when conditions improve. Support differs: Larix describes Hybrid as considering latency for RTMP/RTSP, but on Android Hybrid is supported only for SRT; its listed iOS support includes RTMP, RTSP, and SRT. Do not assume every adaptive mode behaves the same on a YouTube RTMP setup. Enable one only if it is available for your device and protocol, then observe the resulting stream.
Destinations
Larix can send to as many as three destinations simultaneously, according to Beeline’s Larix setup guide. If you intend to stream only to YouTube, enable only that destination. Sending additional copies can increase outgoing traffic.
Test and verify on your own mobile connection
- Run a short private or unlisted test on the same cellular connection, at the intended location and time if possible.
- Match the real broadcast. Use representative audio, movement, resolution, and frame rate so the test reflects the content you will send.
- Check YouTube stream health and any session statistics Larix provides. Warnings or unstable delivery mean the chosen output may exceed what the connection can sustain at that moment.
- Estimate the session payload using the observed average bitrate: average Mbps × 450 × hours. Treat it as an estimate, not a carrier-billing prediction.
- Repeat after a change. Change bitrate first; if the picture or connection is not acceptable, test lower resolution or frame rate. Mobile upload capacity can vary by place and time, and no single setting is established for all Indian networks.
Troubleshooting high data use or unstable video
- Data use is higher than the formula suggests: the bitrate may vary above its target, especially with VBR behavior; overhead and unrelated phone traffic are also excluded from the estimate. Review the session’s actual average bitrate and other phone activity.
- A low bitrate setting still sends more than expected: the phone’s encoder may not hold the requested value. Larix says a device with CBR support is needed to maintain a low bitrate regardless of quality; available controls differ by OS.
- YouTube reports poor stream health or the video stutters: test a lower bitrate, resolution, or frame rate on the same connection. Retest with similar motion and audio rather than relying on a quiet-scene test.
- The image looks blocky after reducing bitrate: raise the target if the data allowance and uplink permit, or lower resolution/frame rate to make the reduced bitrate more workable.
- Adaptive mode changes the data rate: adaptive bitrate responds to delivery conditions, not your allowance, and may increase as the network improves. Check the actual session average.
- Usage rises during repeated reconnects: check whether the app is repeatedly reconnecting and whether extra destinations are enabled. Retry overhead is not quantified in the available guidance, so verify on your own session rather than assuming a fixed saving.
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