FAQ (36)

How to Improve Recording Video and Audio Quality in oCam

How to Improve Video Recording Quality


By default, oCam uses the

MPEG-4 video codec.


The MPEG-4 codec, which is used by default, provides medium-level video quality by nature. However, it is set as the default because it is suitable for recording on low- to mid-spec computers, does not use a hardware encoder, and offers good software compatibility ( it can be played in most video players ).


If you have an NVIDIA graphics card ( GTX 600 series or later for desktops, or GTX 650M or later for laptops ) or if your CPU performance is high, you can improve video quality by recording with the NVENC H.264 encoder or the Open H.264 encoder.


As shown below, click the Codec button in the oCam main window and select either NVIDIA NVENC H.264 ( your graphics card must support it, and if it does not, an error will occur and recording will fail when you start recording ) or the Open H.264 codec to record.


For the Open H.264 codec, you need to set Recording - General - Quality to Very High in the settings to get the best video quality, as shown below. ( In the case of the NVIDIA NVENC H.264 codec, the settings below do not apply. You can change its settings from Codec - Hardware Encoder Settings in the oCam main window. )





* In the case of the Open H.264 codec, setting the quality to Very High provides good video quality, but it uses a lot of CPU resources, so frame rates may drop significantly when recording games. If your system performance is not sufficient, we recommend using the MPEG-4 codec.


* In the case of the NVIDIA NVENC codec, because it is a hardware encoder, it causes almost no frame drops during game recording and offers the best recording performance among all built-in codecs in oCam. If your graphics card supports it, using the NVENC codec is the best option.


* When using the NVIDIA NVENC codec, some games use a large amount of GPU memory, and encoding also uses a large amount of GPU memory, so recording may fail if GPU memory is insufficient.


 * The MP4 container was used in the example above, but it can also be used with MKV, M4A, MOV, and AVI containers.


 

How to Improve Audio Quality


By default, oCam uses the

AAC audio codec ( 192 kbps ).

To change the sample rate or bitrate of the audio codec, click the Codec button in the oCam main window, then click Audio Codec Settings.


Then the following window will appear.


 

As shown in the image above, the supported audio codecs are AAC, MP3, MP2, WMA, and Flac.


Personally, I recommend using the AAC codec because it is the most widely used and offers the best compatibility.

You can improve audio quality by changing the bitrate or sample rate.

For the AAC codec, the maximum supported bitrate is 512 kbps, and the maximum sample rate is 96000 kHz.


If you want to record losslessly, you can use the Flac codec, but the recording file size may become large.


To change the audio codec you want to use for recording, click the Codec button in oCam, select the container you want ( for example, assuming you are using MKV ), and then select a codec in that container that includes the audio codec you want before recording.



Today's News/Tips

Gemini 3.1 Flash Live enables natural conversations through voice.


 


AI voice technology has been advancing rapidly, and at the center of this progress is Googleโ€™s latest model, Gemini 3.1 Flash Live. This model boasts top-tier quality among all audio and voice AI released to date and is regarded as a major milestone toward building next-generation voice-first agents.


In particular, Gemini 3.1 Flash Live significantly improves upon the limitations of previous voice models. One of the most notable advancements is the dramatic reduction in latency. Since response speed directly impacts the level of immersion in conversations between users and AI, this model delivers near real-time responses, enabling a much more natural conversational experience.


In addition, speech recognition accuracy has been greatly enhanced. It can reliably understand speech across various accents, pronunciations, and even in noisy environments, making it highly practical for real-world applications. This is especially important for use cases such as customer support, voice assistants, and interactive educational systems.


Furthermore, Gemini 3.1 Flash Live goes beyond simple voice recognition to provide more human-like interactions. By understanding the flow of conversation and reflecting context in its responses, it moves away from mechanical responses and enables more natural and flexible communication. These capabilities are key factors in significantly improving the overall user experience (UX).


Ultimately, this model represents more than just a technological upgradeโ€”it serves as an important milestone that points to the future direction of voice-based interfaces. As voice-driven AI agents continue to expand across various industries, Gemini 3.1 Flash Live is expected to play a central role in this evolution.


For more details, you can try it directly on the official site below.


https://aistudio.google.com/live


 

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