Larix Broadcaster does not use one fixed amount of mobile data per hour. For a first estimate, multiply the outgoing stream bitrate in Mbps by the hours streamed and by 0.45 to get approximate decimal gigabytes of encoded stream data.
That calculation is a planning estimate, not a reading from your phone and not an exact carrier-account total. Your actual usage can vary with the stream’s bitrate over time, network conditions, protocol overhead and the way your device or carrier counts data.
Why there is no fixed hourly figure
Larix is the app used to encode and publish a stream, but its data use depends largely on the settings and runtime you choose. A stream sent at 4 Mbps for an hour carries less encoded data than one sent at 10 Mbps for the same time. A longer broadcast increases the total in direct proportion, assuming the average bitrate stays the same.
The number shown in Larix as a bitrate is a target for the outgoing video encoding, not a guarantee that every second will be identical. Softvelum’s Larix FAQ says that, in general, the device encoder uses a defined or default bitrate as its target and Larix publishes at that bitrate. The wording matters: a target helps with planning, but it does not promise a precise total in a phone’s settings or on a carrier bill.
Other choices affect the target you need. Resolution, frame rate and codec all influence how much data is sent for a given picture quality. YouTube’s live encoder settings and bitrate recommendations vary by video format and frame rate. A 1080p stream, for example, may use a higher recommended bitrate than a lower-resolution stream, but there is no single data-use figure that applies to every Larix broadcast.
The content and connection also matter. A still devotional image with audio and a local news loop with moving footage may be encoded differently by the same settings. If you enable adaptive bitrate in Larix, the stream rate may change when the connection is poor. That can affect the data sent, but Softvelum does not give a universal saving amount for adaptive bitrate.
For your own plan, separate the question into two parts: what is the estimated encoded stream data at the bitrate you intend to use, and what does the phone or carrier actually report during a representative test? The first is easy to calculate. The second must be checked on your equipment and plan.
Convert bitrate and duration into gigabytes
The estimate uses a straightforward conversion: one byte contains eight bits, and this calculation uses decimal gigabytes, where 1 GB is 1,000 MB. At 1 Mbps, a continuous stream sends about 0.45 GB of encoded data in an hour. This gives you a formula you can adapt without a data-use calculator:
Estimated encoded data in GB ≈ bitrate in Mbps × stream hours × 0.45
For an hourly estimate, use bitrate × 0.45. For a two-hour stream, multiply by two. For a broadcast lasting 30 minutes, use half an hour. If your planned average video bitrate is 4 Mbps for two hours, the calculation is 4 × 2 × 0.45, or about 3.6 GB of encoded stream data.
Here are a few more examples of the arithmetic, using the same formula:
| Average bitrate | Duration | Approximate encoded stream data |
|---|---|---|
| 2 Mbps | 1 hour | 0.9 GB |
| 4 Mbps | 1 hour | 1.8 GB |
| 6 Mbps | 2 hours | 5.4 GB |
| 10 Mbps | 30 minutes | 2.25 GB |
The values are calculations, not measurements. In particular, the table does not mean that a phone’s cellular counter will necessarily show exactly those amounts. It describes the data represented by a continuous stream at the stated average bitrate under the formula’s decimal-unit assumptions.
The calculation is useful for comparing choices. If you halve the bitrate and leave the duration unchanged, the estimated encoded stream data halves. If you double the duration at the same bitrate, the estimate doubles. This lets you compare a shorter high-quality test with a longer lower-bitrate broadcast before spending mobile data.
Audio is part of a livestream, too. The examples below use YouTube’s recommended H.264 video bitrates as the planning inputs provided in its encoder guidance. Treat the formula as an estimate based on the stated bitrate, not as a complete device accounting model for video, audio and every bit of traffic around a live session.
YouTube H.264 examples, not consumption measurements
YouTube publishes recommended encoder bitrates by resolution and frame rate. Applying the calculation to the H.264 recommendations gives the following approximate encoded data per hour:
| YouTube H.264 example setting | Recommended bitrate | Approximate encoded data per hour |
|---|---|---|
| 240p–720p at 30 fps | 4 Mbps | 1.8 GB/hour |
| 720p at 60 fps | 6 Mbps | 2.7 GB/hour |
| 1080p at 30 fps | 10 Mbps | 4.5 GB/hour |
| 1080p at 60 fps | 12 Mbps | 5.4 GB/hour |
These are calculated from YouTube’s recommendations, not data-use statistics published by YouTube or Softvelum. The first row covers a range of resolutions with the same recommendation in the cited H.264 column; it does not imply every picture in that range looks the same. Check the current YouTube encoder settings page when choosing a resolution, frame rate or codec because recommendations can change.
For a two-hour stream, double the hourly estimates: the 4 Mbps example becomes about 3.6 GB, while the 10 Mbps example becomes about 9 GB. That is a useful comparison when deciding whether a test should be brief or whether a planned session can use mobile data. It still does not say what your phone’s or carrier’s counter will report.
The higher-rate examples are not automatically the best choice for a mobile connection. YouTube recommends encoder settings as a starting point for the format; you must also have an upload connection that can sustain the outgoing stream reliably. A lower setting that remains stable can be more useful than a higher one that repeatedly loses connection or degrades. For a channel focused on a simple music or devotional visual, compare the intended picture with the practical data budget rather than selecting the highest resolution by default. The 720p, 30 fps settings example for a Punjabi music channel may help you think through a modest, repeatable configuration.
If you need to see how a duration changes the calculation, use the formula rather than copying an hourly number. A three-hour 6 Mbps session gives 6 × 3 × 0.45, or about 8.1 GB of encoded stream data. It is still an estimate; the stream may not hold exactly 6 Mbps throughout, and your device and carrier count more than this simplified arithmetic describes.
Find the bitrate you are actually sending
Before estimating, look at Larix’s outgoing video bitrate setting and note the resolution and frame rate selected for the stream. Do not use your mobile plan’s advertised speed as the bitrate: download or upload speed describes connection capacity, while the encoder bitrate is the target data rate of the stream. A fast connection does not, by itself, mean Larix will encode at a high bitrate.
If you selected a fixed bitrate, use that value as the input to the formula. If Larix is using a default, confirm what the app is set to rather than assuming a value. The Larix FAQ explains the target behaviour, but it does not publish one universal setting for every device, channel or YouTube stream. Your own configuration is the relevant input.
With adaptive bitrate enabled, a single fixed number may not describe the whole session. The stream can vary in response to connection conditions, so using the configured upper or target value can help with cautious planning, but it does not reveal the exact average that will be sent. Softvelum’s FAQ discusses adaptive bitrate behaviour without promising a particular reduction in data use. Do not subtract an assumed percentage from the estimate.
Also check that the setting you note is video bitrate, not a combined figure you have inferred from a different screen. YouTube’s recommended figures in the table are specifically H.264 video bitrate recommendations. If your encoder exposes separate video and audio settings, use the relevant outgoing values as appropriate, and keep in mind that the simple table is not a complete measurement of all traffic.
If you are testing a repeat broadcast or loop, use the same file, resolution, frame rate and bitrate that you expect to use later. For context on repeatable pre-recorded streams, the guide to running a black-screen rain-sounds stream with FFmpeg illustrates why a stable source and configuration make comparisons more useful. The point here is not to adopt that setup, but to keep your own test conditions representative.
Leave room for overhead and variation
The formula estimates the encoded stream at an average bitrate. A real stream also involves network and protocol traffic, and network conditions can lead to retransmissions or changes in the stream rate. The official sources cited here do not provide one universal overhead percentage to add, so it would be misleading to turn the estimate into an exact mobile plan requirement by applying an invented allowance.
Instead, treat the result as a baseline and retain headroom in your data plan. The amount of headroom that is sensible depends on how much uncertainty you can tolerate, how long the broadcast will run and whether other apps share the phone’s data connection. If you must avoid crossing a plan limit, a calculation alone is not enough: run a test and check the phone or carrier counter before and after.
Do not confuse signal strength with data volume. A weak signal can make a stream unstable and may cause the bitrate to adapt, but it does not give you a reliable way to predict total usage. YouTube’s guidance for creating a live stream with an encoder advises testing the connection and monitoring stream health. A speed test can tell you whether upload capacity appears suitable at that moment, but a short test is not a guarantee that the network will behave the same way all night.
Adaptive bitrate is a trade-off. It can help the broadcast respond to a changing connection, potentially preserving continuity at a different stream rate, but the rate variation means a simple fixed-rate estimate becomes less exact. It is not a data-saving switch with a guaranteed outcome. If your priority is controlling a mobile-data budget, pair it with a conservative configured rate and actual counter checks rather than relying on adaptive behaviour to stay below a limit.
For a 24/7 channel, mobile data may be a poor fit for the full-time uplink even if it is useful for a short test or backup. A longer runtime multiplies the baseline quickly. If you are assessing a home broadband arrangement for a continuous channel, the guide on setting up a 24/7 YouTube stream over Airtel Xstream Fiber is a separate planning reference; it does not change the arithmetic for a mobile stream.
Check what your phone and carrier count
The encoded-data estimate and a device’s reported mobile usage answer different questions. The formula estimates data in the stream at a stated average bitrate. A phone’s cellular-data counter may include other app traffic during the same period, background activity or differences in how it records the session. A carrier’s account page may update later or apply its own counting conventions. Neither total can be inferred exactly from the bitrate alone.
To check your own usage, note the phone’s mobile-data counter immediately before a representative Larix test, then note it again after the stream has ended and the counter has had time to update. Where possible, make sure other apps are not using mobile data during the test. Record the stream duration and Larix settings beside the counter readings, so you can repeat the same test and compare like with like.
If you have a dual-SIM device, confirm which SIM is providing data. If the phone can move between Wi-Fi and mobile data, verify that the stream is actually using the connection you intend to measure. A test that silently switches to Wi-Fi will not tell you how much cellular data a mobile livestream would use. Likewise, a test over one network location may not represent a different location or time of day.
For a useful comparison, calculate the baseline from the bitrate and duration, then compare it with the observed counter change. Do not treat the difference as a stable overhead factor after just one session: other traffic and network conditions can affect it. If the results matter for budgeting, repeat the test under representative conditions and keep the observed range as your own planning evidence, not as a universal Larix figure.
Plan a mobile-data test before a long stream
Start with the stream you actually intend to publish. Set the resolution, frame rate, codec and bitrate, choose whether adaptive bitrate is enabled, and use representative video and audio. Then calculate the baseline for a test duration using bitrate × hours × 0.45. A short test consumes less data than a long one, but should last long enough for you to check stream stability and compare the relevant counters.
YouTube advises a representative test and monitoring stream health; check its current encoder help before a consequential broadcast. Watch for dropped frames, connection interruptions or warnings in YouTube’s live control room. If the connection cannot sustain the selected rate, lower the target or change the network before extending the test. The aim is not to force a high setting, but to find a configuration the connection can maintain.
On a mobile plan, check your plan’s remaining allowance and any relevant restrictions directly with your carrier. Do not assume that the calculation alone guarantees an allowance will be enough. Other household or phone usage can draw on the same plan, and a planned stream that runs longer than expected changes the estimate linearly. Keeping a margin reduces the chance that a small difference or extra session becomes a problem.
For a scheduled event, a sensible sequence is to test the stream, inspect YouTube’s health indicators, compare the phone’s counter change, and then decide whether to proceed on mobile data or use a different uplink. If a local news loop, study session or devotional programme is meant to stay live overnight, reliability and power are also relevant; mobile data volume is only one part of the operating plan. A continuous stream can multiply even a modest hourly figure over many hours.
If the main difficulty is keeping a pre-recorded channel running without leaving a phone or computer on, StreamNeo removes that specific operational burden by turning an uploaded video into a YouTube livestream that can continue with your own computer switched off. It does not reduce the mobile data Larix uses when you stream from a phone, and it is YouTube-only; treat it as a different operating approach rather than a way to change this bitrate calculation.
Before committing, compare the operating options on the pricing page. When the file and channel are ready, start free — 24-hour trial, no card.
FAQ
How much data does Larix use per hour?
There is no fixed figure for every Larix stream. As a baseline, multiply the outgoing average bitrate in Mbps by 0.45 to estimate decimal GB of encoded stream data per hour. Actual phone and carrier totals can differ.
How many GB do I need for a two-hour livestream?
Multiply the bitrate in Mbps by two hours and by 0.45. At 4 Mbps, that is about 3.6 GB of encoded stream data; it is a calculation, not a guarantee of the amount your phone or carrier will count.
Does Larix use more data at 1080p?
It can, if the 1080p configuration uses a higher bitrate. YouTube’s H.264 examples recommend 10 Mbps for 1080p at 30 fps and 12 Mbps at 60 fps, which calculate to about 4.5 GB and 5.4 GB per hour respectively. Check your Larix settings rather than assuming resolution alone determines the rate.
Can adaptive bitrate reduce mobile data use?
It may change the outgoing rate as network conditions change, but the reviewed Larix guidance does not quantify a guaranteed saving. Monitor the stream and compare device counters in a representative test instead of assuming adaptive bitrate will keep usage below a particular allowance.