When OBS loops a video to YouTube Live, high CPU use can come from decoding the file for playback, encoding the outgoing stream, or the rest of the scene. Check those workloads separately: the Media Source decoding option and the encoder in Output settings solve different problems.
For one local video, use Media Source and enable Loop; for a playlist, use VLC Video and enable Loop Playlist. Then test hardware decoding if your GPU supports that file, and test an available hardware encoder for the broadcast. Neither setting guarantees lower total system use, so verify the result with representative playback and stream-health checks.
First find which part of OBS is doing the work
A looping video is a playback source. OBS reads the file, decodes its video and audio, and presents it in the scene. Separately, OBS combines the scene and encodes the result into a live stream. A third workload is rendering the scene itself, including overlays, filters and transitions. High CPU use may be linked to any of these, or to more than one at once.
Start by recording what is selected before changing anything. In OBS, check Settings → Output and note whether the encoder is x264 or a hardware option. Then open the media source properties and note whether hardware decoding is enabled. These two checks give you a useful baseline; do not infer from a high CPU reading alone that the encoder is responsible.
OBS’ Stats window can help distinguish rendering lag, encoding lag and dropped frames. These are related symptoms, not interchangeable measures. For example, a heavy scene can cause rendering lag even if the CPU encoder is not overloaded, while software encoding can use substantial CPU without the video decoder being the problem. If you need to investigate a pattern that is not obvious in the interface, check the OBS log guidance for encoding performance issues.
Also note when the load changes. Does CPU use rise as soon as the video starts, when an overlay appears, or only once the broadcast begins? Compare the same scene with the stream stopped and running. This is not a laboratory measurement, but a controlled before-and-after check can narrow the likely source of the load.
Looping is a playback control, not a special encoding mode. The OBS Media Sources guide documents loop controls and optional hardware decoding; it does not say that looping itself necessarily increases CPU use. Avoid changing several settings at once, because then you will not know which adjustment helped or created a compatibility problem.
Choose the right source for one file or a playlist
For a single local file, add or select a Media Source, open its properties and confirm Loop is checked. Use the same source for the test you intend to run: switching to a different source type can change how the file is decoded and make a comparison less useful. If a file ends and does not restart, check the source’s loop setting before treating the symptom as a CPU problem.
For multiple clips, OBS offers VLC Video, which uses VLC to play a playlist. Install VLC first, then add the source, build the playlist and enable Loop Playlist in its properties. The OBS documentation notes that a 64-bit OBS installation needs 64-bit VLC. If VLC Video is missing or does not work, check the installed versions and OBS architecture rather than assuming that playlist looping is supported by an ordinary Media Source.
A playlist is useful when you need a sequence of different files. A single Media Source is simpler when the same file should repeat. Each extra file and source can add setup and troubleshooting work, so keep the scene and source list limited to what the programme requires. If you are maintaining a changing playlist during a long broadcast, see the practical notes on adding videos to an OBS playlist without stopping a YouTube stream.
Keep the test fair: use the same file, scene, resolution and frame rate when comparing settings. If the first file is a low-resolution still ambience loop and the next is a high-motion concert recording, the results do not isolate the effect of a setting. If you stream a collection of music videos, the guide to running your own tracks as a 24/7 YouTube radio stream can help with the wider programming setup, but the source and encoder checks here still apply.
Test hardware decoding for the media file
In a Media Source’s properties, try Use hardware decoding when available. This option relates to decoding the video for playback. It is separate from the encoder OBS uses to send the broadcast. A GPU may support a hardware decoder for some formats and not others, so the option is not a promise that every file can be decoded that way.
Change only this setting, then play a representative portion of the file. Watch CPU use and check for visual problems such as a black picture, stutter, or a source that fails to start. The GPU may take on some decoding work, but total system load is not guaranteed to fall: GPU work can rise, and the outcome depends on the file and hardware. If playback becomes worse, turn the option off and keep the prior setting.
Use a file that resembles the actual stream. Codec, resolution and frame rate can affect whether the GPU’s decoder can handle it, and a test with one file does not establish compatibility with every clip in a playlist. If a playlist contains mixed formats, check more than one representative item. For a broader explanation of how codecs differ, see H.264 and H.265 choices for streamers; do not change codecs mid-test unless you are deliberately comparing files.
Hardware decoding can be a useful first test when playback itself appears to be the bottleneck. It is not a substitute for choosing an appropriate outgoing encoder, and it does not remove the CPU work involved in OBS, audio, scene rendering or other applications. Keep the setting only if your test improves the actual problem without harming playback or stream health.
Select a compatible hardware encoder for the stream
If OBS is using x264, it is encoding the outgoing stream on the CPU. In Settings → Output, choose an available hardware encoder if your computer and operating system support one. OBS documents NVIDIA NVENC, AMD AMF and Intel Quick Sync options, with compatibility depending on the graphics hardware and operating system. If an option is absent, do not assume it can be enabled with a generic setting; first check the OBS hardware encoding support notes.
This is a different operation from hardware decoding. Encoding turns the composed scene into the stream sent to YouTube; decoding turns the source file into frames OBS can use. A GPU might support one function without supporting the other for your file or configuration. Selecting a hardware encoder can shift some encoding work away from the CPU to a specialised GPU component, but it does not make CPU use disappear. OBS, the video source, audio processing and other programs still need resources.
The comparison is not only about CPU. Check compatibility, GPU load, picture quality at your intended bitrate, and whether the stream remains stable. OBS cautions that older hardware encoders may produce lower quality at the same bitrate than software encoding with the default veryfast preset. Do not assume hardware encoding is always the better choice: compare the result at the settings you actually plan to use.
After changing the encoder, review the rest of the output configuration rather than copying a random profile. YouTube’s official live encoder settings and bitrate guidance recommends CBR and a two-second keyframe interval, not exceeding four seconds; its suggested bitrates vary by codec, resolution and frame rate. Follow the current official table for your chosen output rather than treating bitrate as a CPU tuning knob.
An encoder change is worthwhile only if it is available and works well on your system. If OBS offers no compatible hardware option, keep the software encoder and reduce the work it has to do before considering a hardware purchase. The OBS system requirements page also notes that demands vary with encoder, resolution, FPS and scene complexity; meeting a basic requirement does not guarantee a particular stream workload will run comfortably.
Retest CPU use and the actual broadcast
After each change, run a test with a representative section of the video and its audio. Include the kind of motion, overlays and transitions that will appear during the real loop. Watch CPU and GPU use, OBS Stats, and the preview. Then make a private or otherwise suitable test broadcast and check YouTube’s stream health. YouTube recommends testing before an event and monitoring stream health, rather than relying only on the local preview.
Change one variable at a time and keep a short note: source type, decoding option, encoder and output settings. If CPU use falls after enabling hardware decoding, that suggests playback decoding was part of the load. If it changes after selecting a hardware encoder, encoding was a likely contributor. These are practical clues rather than proof that the setting will behave identically with every file or after the computer has been running for hours.
Check the stream for dropped or skipped frames and for audio that drifts, vanishes or repeats incorrectly at a file boundary. A low CPU reading is not a successful result if the stream stutters or the audio is wrong. Conversely, an elevated reading alone does not establish a problem if the broadcast is stable; compare it with the computer’s available headroom and the demands of other applications.
Do not judge a long-running channel from a brief idle preview. Let the representative test run through a loop boundary, and include a playlist transition if you use VLC Video. If settings look sound, the OBS Quick Start Guide explains the Auto-Configuration Wizard and recommends testing. Treat its result as a starting point, then confirm it against your own source, scene and YouTube stream health.
For channels built around a repeating playlist, a local PC is only one operating arrangement. If overnight power, updates or a household computer being switched off are also concerns, compare that separate issue with running a YouTube radio stream from a VPS in India. A different operating arrangement does not remove the need to check file compatibility, stream settings and playback quality.
If load remains high, reduce the rest of the workload
Remove sources you do not need in the live scene. Browser sources can be costly, especially when they animate or refresh; filters, animated overlays and complex transitions can also add work. Disable or simplify one item at a time, then repeat the same test. If the load changes, you have a more useful answer than simply lowering every setting at once.
Use media files at a resolution appropriate to the stream. A source with far more pixels than the output needs may add work without a visible benefit in the final broadcast, though scaling and decoding costs depend on the file and machine. Avoid converting files indiscriminately: conversion takes time and a different codec may not be compatible with your playback path. Test a representative converted copy before replacing a working playlist.
If simpler changes are not enough, consider reducing the OBS output resolution or frame rate. This lowers some of the work required to render and encode the output, but changes what viewers receive. A lower frame rate may be suitable for a static devotional image or an ambience loop, while fast movement may need more temporal detail. Make the choice based on the content and check the result at the intended bitrate; YouTube’s guidance varies by codec, resolution and frame rate.
A high CPU figure can also point to another application, a power or thermal constraint, or a laptop sharing limited resources. Close applications that are not needed for the test and check whether the machine is overheating or switching into a restricted power mode. Do not assume an OBS setting can fix an unrelated system bottleneck.
Consider buying a GPU only after checking what your existing hardware and operating system support. A compatible hardware encoder may help with outgoing encoding, but the purchase will not guarantee that a given file can be hardware-decoded or that a complex scene will render smoothly. Check the manufacturer’s documentation for the exact model and your OS, and re-test the complete setup before relying on it overnight.
If you need the loop to continue while your own computer is off, StreamNeo removes that particular burden: you upload the video, provide your YouTube stream key, and the broadcast continues without keeping OBS running on your PC. That addresses dependence on a home computer, not YouTube’s stream settings or the need to make sure your video and channel are ready.
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
Does enabling Loop use more CPU?
Loop tells OBS to repeat a source when playback reaches the end; it is not an encoding mode. The OBS documentation describes the loop control but does not say looping by itself causes high CPU use. Check decoding, encoding and scene workload separately.
Should I enable hardware decoding and hardware encoding together?
They address different stages: decoding is for playback of the source file, while encoding prepares the outgoing stream. You can test both if the relevant options are available, but one may be supported when the other is not. Keep each change only if a representative test improves the result without introducing playback or stream problems.
Why is a hardware encoder missing from OBS?
OBS only exposes encoders compatible with the hardware, driver and operating system in use. Check OBS’ current hardware encoding documentation and the computer or GPU manufacturer’s support details. Do not assume that every GPU has NVENC, AMF or Quick Sync available.
Should I buy a GPU to lower CPU use?
Only consider it after checking the hardware you already have and trying source, scene and output adjustments. A compatible encoder can offload some stream encoding work, but it will not eliminate CPU use or guarantee support for media decoding. Verify the exact hardware and test the complete stream before depending on it for a long-running channel.