There is no evidence-supported universal answer to whether OBS or FFmpeg uses less electricity for a YouTube loop stream. The result depends on the work your computer performs, particularly the encoder, output resolution and frame rate, and any scene or filter processing.
No matched wall-power test for these two workflows running the same YouTube loop was found in the available evidence. If you need an answer for your own setup, match the workload and measure the whole computer at the wall; a programme name is not a useful substitute for that test.
Why there is no universal electricity winner
OBS and FFmpeg can both be used to send video to YouTube, but a comparison only means something when they do equivalent work. A simple loop of an already-rendered video is different from a workflow that scales the picture, layers graphics, mixes audio, or applies filters. The encoder and output settings matter too. The same computer can therefore draw differently when configured in different ways, even if the source file and destination are unchanged.
The documentation describes capabilities and workload factors, not a head-to-head electricity result. OBS says its CPU requirements vary considerably with encoder, resolution, frame rate and scene complexity. FFmpeg documents looping, filtering, transcoding and hardware options, but those features do not establish the power draw of a complete live-streaming setup. Neither source gives a matched wall-power reading for an OBS-versus-FFmpeg YouTube loop.
A study of game streaming and recording is not a substitute. Its workload is materially different from sending an already-rendered video loop, and it did not compare OBS with FFmpeg. Applying its energy result to your channel would imply more certainty than the evidence supports. This comparison therefore does not offer a wattage or percentage saving for either programme.
For a practical starting point, decide what you actually need on screen. If you are repeating a folder of finished clips, first define how the clips should follow one another; the steps in setting up a YouTube stream that loops MP4 files can help you think through that workflow. Then compare two configurations that deliver the same result, rather than comparing the names of the tools in isolation.
What affects OBS power use
OBS builds a scene from sources and renders it for the stream. A scene might contain a video, a logo, text, a background, an audio source and transitions. Rendering and compositing those elements takes GPU resources. OBS support guidance recommends simplifying a scene and reducing expensive sources when resource demand is a problem.
This means that “OBS streaming a video” can describe different workloads. One setup may show a single video source with no changes. Another may scale the source, overlay a scrolling ticker, animate a logo and switch between several scenes. Those choices add work beyond encoding. If you are testing electricity use, record exactly what is in the scene and leave it unchanged across repeated runs.
The encoder is another major variable. OBS supports software encoding and hardware encoders. Its hardware-encoding guide generally recommends hardware encoding for performance because the work moves from the CPU to a specialised component in the GPU. That guidance does not mean the computer as a whole will always use less electricity. CPU load can fall while total wall draw behaves differently, depending on the hardware and task.
Quality must also be considered. OBS notes that earlier-generation hardware encoders can produce lower image quality than software encoding at the same bitrate. A power reading is not a fair win if one version looks worse, drops frames or fails to meet your intended output. Record encoder, preset or quality settings, bitrate and output format, then check the actual stream rather than assuming settings with similar names are equivalent.
OBS's system requirements guidance makes the broader point: a compatible computer is not necessarily capable of every streaming or recording workload. Its performance guidance recommends reducing scene complexity and output demands when performance is an issue. A smaller scene or lower frame rate might reduce work, but decide first whether the changed picture still serves your viewers.
What affects FFmpeg power use
FFmpeg is a media tool that can read inputs, filter or transcode media, and write an output stream. For a loop, its filter documentation describes repeating video frames, including an infinite loop with loop=-1. That tells you how repetition can be expressed; it does not tell you the electricity cost of a complete YouTube broadcast.
The command and build determine what happens between reading the file and sending the output. A workflow might simply pass along a compatible stream, or it might decode, scale, filter and encode every frame. Each additional transformation changes the work. Audio handling, overlays and any reconnection or pacing choices are also part of the actual workflow to document, not details to ignore when comparing measurements.
Hardware paths need careful treatment. FFmpeg's documentation covers hardware-device configuration, but availability depends on the build, drivers and device. The documentation also warns that some acceleration methods are aimed at playback and may not be faster than software decoding on modern CPUs. “Hardware accelerated” is not a promise of lower total-system electricity use.
FFmpeg suits readers who are comfortable specifying and checking a command, and who want precise control over a media pipeline. OBS may be easier when you need to compose scenes visually or make changes without editing a command. Neither workflow is automatically simpler or more efficient for every person. If you want to understand a playlist-based FFmpeg arrangement, the guide to preventing gaps between videos in an FFmpeg YouTube playlist covers a different but relevant operational concern: continuity between clips.
Match the stream workload before comparing
Write down the intended stream before changing tools. Note the source file or playlist, destination, resolution, frame rate, audio settings and whether the video is merely repeated or transformed. For OBS, include the scene sources and any scaling or transitions. For FFmpeg, save the complete command and identify the filters and encoder path. This record makes it possible to tell whether a difference comes from the application or from a different job being assigned to it.
Match what viewers receive, not just the labels in a settings panel. Set the same output resolution and frame rate, and aim for comparable visual quality. Use the same encoder path where both workflows support it on your hardware; if they do not, document the difference rather than calling the test like-for-like. Match bitrate or quality targets thoughtfully, because a bitrate alone does not guarantee equivalent visual output across encoder types.
A useful comparison sheet can be short:
| What to match or record | Why it matters |
|---|---|
| Computer, power supply and connected equipment | The whole system at the wall is the quantity being compared; changing the computer defeats the comparison. |
| Input file, playback order and stream destination | Different media or stream conditions can change the work or interrupt a run. |
| Resolution and frame rate | Both affect the amount of video processing; OBS identifies them as workload factors. |
| Encoder and quality settings | Software and hardware paths distribute work differently and may not produce identical quality. |
| Scene sources or FFmpeg filters | Compositing, scaling and filtering add processing beyond sending a simple loop. |
| Run duration and measurement method | Equal, steady runs allow a useful energy comparison. |
| Continuity and output quality | A lower reading is not useful if the stream is not an acceptable equivalent. |
Do not simplify the scene in OBS while leaving equivalent overlays or filters in FFmpeg, or vice versa. If your real use case does need those elements, include them in both workflows as closely as possible. If your real use case is a static loop with no overlays, remove nonessential processing from both. You can also run two separate comparisons: one for the simplest loop and another for the actual finished channel setup.
The picture format can be part of a fair test too. Decide whether your stream needs a wide, square or vertical frame before measuring; the guide to choosing a video aspect ratio explains the viewing trade-offs. Once chosen, keep the same canvas and output dimensions in both workflows. Do not use a different aspect ratio merely because one application makes it easier to configure.
Measure wall power for each workflow
Use the same computer and the same measurement point for both tests. A plug-in meter at the wall can measure the complete computer's input draw; it is not necessary to infer electricity from CPU utilisation or a graphics card's reported load. If you do not already have a suitable meter, decide whether the measurement is worth the purchase for your use. The available evidence does not establish a particular model as necessary or recommend one as tested.
First measure a baseline with the computer in the same state you will use for the test but without the stream workload. Keep normal background applications, display arrangement and connected equipment consistent. If you want to estimate the additional draw attributable to streaming, compare the streaming reading with this idle baseline. Report both readings rather than presenting the difference as a universal property of OBS or FFmpeg.
Run OBS and FFmpeg separately. Start the same source and stream destination, wait until the system has settled, then record wall power over an equal interval. Note the software version, encoder, output settings and any unusual event such as a reconnect or dropped frames. Repeat the runs if practical, alternating the order rather than always testing one application first; this helps reduce the effect of a changing room temperature or a background task. Use the same method each time and compare the average readings from the stable portions.
If you cannot run both workflows to the live destination, be cautious about substituting a local test. A local encode or preview can omit work involved in sending the stream, and it may not exercise the same path. The destination and stream conditions should be as similar as you can make them. Confirm in YouTube's live control room that the broadcast is arriving and check the viewer-facing output for continuity and sound.
Treat the measurement as an experiment, not a product certification. A meter reading can vary with other computer activity and equipment state. Close unrelated applications, avoid changing power-saving settings between runs, and allow the same warm-up period before taking readings. If the readings are close or inconsistent, run the comparison again before making a change to a channel that needs to stay live overnight.
Compare energy over the same run duration
Power is a rate of energy use; energy over a run depends on both the power draw and how long the system runs. For a stable average reading, multiply average watts by hours to estimate watt-hours. For example, if you have measured an average of 100 watts over 10 hours, the arithmetic gives 1,000 watt-hours, or 1 kilowatt-hour. This is an arithmetic illustration, not a claimed OBS or FFmpeg result.
Use identical durations when comparing the two workflows. If one run is measured for half an hour and another for a full hour, compare their average power rather than their raw energy totals, or recalculate both for the same duration. If your meter accumulates energy directly, record the start and end readings and ensure each run covers the same interval after stabilisation.
For a 24/7 channel, a small stable difference could accumulate over a long operating period, but do not extrapolate a short test without noting its limits. Your actual average may change overnight as the operating system performs background work, the source changes, or the stream reconnects. If the system behaves differently at night, include a representative longer test before using a short-run reading to estimate ongoing consumption.
Electricity cost also depends on your tariff and how you account for the equipment. Use your own bill's unit rate if you want to translate measured energy into a cost. Do not use a generic price assumption or a vendor's electricity estimate as though it applied to your location. The goal is a clear calculation from your meter reading, run duration and actual tariff.
Interpret results without overgeneralising
If one workflow draws less in your test, the defensible conclusion is narrow: that configuration on that computer, during those runs, had a lower measured draw under the conditions you recorded. It does not establish that the application always uses less electricity, or that the result transfers to another computer, encoder, resolution, frame rate or scene.
Check whether the difference survives repeat runs and whether the streams are equivalent. Compare the picture for visible quality changes, listen for audio problems, and inspect continuity. A setup that consumes less while delivering fewer frames or a lower-quality picture may not meet the same need. Decide what minimum acceptable output means for your channel before interpreting the result.
If the readings are similar, choose on operational grounds: which workflow you can configure, monitor and recover when something changes. If FFmpeg's command-based control is useful and you are comfortable maintaining it, that can be the better fit. If you need to adjust scenes visually or manage several sources, OBS may suit the work. For a single-file loop, a cloud-based workflow can remove the need to leave your own computer running; StreamNeo is designed for that specific burden, while still requiring you to check your file and YouTube stream.
A measurement is only useful if the stream stays presentable and live. If a change reduces load but produces blocky motion, revisit the output settings; the advice on adjusting bitrate or resolution for blocky motion can help distinguish a quality problem from a power result. Confirm your own stream under the conditions you plan to operate, and keep a record so you can return to a known working configuration.
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FAQ
Is OBS or FFmpeg proven to use less electricity for a YouTube loop?
No matched wall-power comparison for that exact workload was found in the available evidence. The result depends on configuration and hardware, so measure equivalent runs on your own computer rather than relying on a general winner claim.
Does hardware encoding always reduce electricity use?
No. OBS says hardware encoding moves encoding work from the CPU to a specialised GPU component and generally recommends it for performance. That does not quantify whole-system power, and encoder generation can affect quality at the same bitrate.
Can I compare CPU or GPU usage instead of measuring at the wall?
Those readings can help explain where work is happening, but they are not a measurement of the computer's total electricity draw. A wall measurement captures the complete system and is the better basis for comparing energy use.
What should I do if the lower-power setup drops frames or looks worse?
It is not an equivalent result until it meets your channel's output requirements. Adjust settings or processing, then repeat the measurement while checking continuity, image quality and audio.