Reduce video size to maintain quality
Notes on video compression in browsers
Client-side video compression has limitations. To compress large or higher quality videos, Recommended use of specialized software such as:
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Support: MP4, WebM, MOV (maximum 100MB)
💡 Videos under 50MB will compress faster
💡 70% quality is suitable for most cases
Free online video compression tool of Mavis Digital to help you Reduce video size MP4, WebM, MOV quickly. Customize quality from 30-100% and keep resolution 480p, 720p, 1080por. Display full video information: file name, capacity, duration, format. After compressing, immediately see the reduced capacity section. The tool also suggests specialized software such as H and Brake, FreeConvert, Clideo for large videos that need more professional processing.
Large capacity videos cause many problems in practice. Uploading to social networks (Facebook, Instagram, TikTok) takes a long time and may be limited in capacity. Sending via email is often blocked because it exceeds the attachment limit (usually 25MB). Storing on the phone or cloud takes up a lot of space. Streaming large videos causes buffering and consumes bandwidth. Compressing videos helps reduce capacity by 50-80% while still maintaining acceptable quality for most uses. such as sharing online, storing, or sending via platforms with limited capacity.
Video capacity depends on many factors: resolution, bitrate, codec, and duration. Higher resolution (4K > 1080p > 720p > 480p) requires more data. Bitrate is the amount of data per second, high bitrate = high quality but large capacity. Codec is compression algorithm: H.265/HEVC is about 50% more efficient than H.264 at the same quality When compressing a video, you can reduce one or more of these factors. Reducing the resolution from 1080p to 720p can reduce the bitrate (quality) by 20-30% which is usually not noticeable to the naked eye but significantly reduces the capacity.
Each purpose of use requires a different level of quality. Sharing via WhatsApp, Messenger: 480p-720p, quality 60-70% is enough because these apps compress themselves further. Upload to Facebook, Instagram: 720p-1080p, quality 70-80% to balance between display quality and upload time. YouTube: should keep the highest quality possible because YouTube will compress itself. Personal storage: depends ando Are space storage, 720p 80% quality is a Good choice for most home videos. Send email: needs under 25MB, may need to drastically reduce resolution and quality.
Video compression is a computationally intensive task, it often requires powerful specialized server software. Compressing video on the browser (client-side) has some limitations: it is slower than native software, consumes a lot of RAM and CPU, can cause browser crashes with large videos, some codecs don't supported. For videos under 50MB and short duration, compression in the browser works well. For larger videos or requiring professional quality, it is recommended to use H and Brake. (free, open source), FreeConvert or Clideo (online services), orAdobe Media Encoder (professional).
H.264 (AVC) is the most popular codec, compatible with all devices and browsers, good balance between quality and capacity. H.265 (HEVC) is about 50% more efficient than H.264 at the same quality, but needs more powerful hardware to encode/decode, some older devices don't supported. VP9 is an open codec that of Google, about as efficient as H.265, supported by YouTube and Chrome Good support. AV1 is the latest codec, more efficient than H.265 and VP9, but encoding is very slow and not yet widely supported. For maximum compatibility, choose H.264. For the smallest capacity with new devices, choose H.265.
Always keep the original file before compressing, in case you need high quality later. Compress once instead of many times because each compression loses quality. For videos with a lot of movement (sports, action), higher bitrates are needed to maintain quality. Static videos (talking heads, slides) can be compressed more strongly without affecting much. Cut out unnecessary parts before compressing to reduce processing time. Test the compressed video on the target device before sharing widely.
Yes, video compression (lossy compression) always makes a trade-off between capacity and quality. However, with a quality level of 70-80%, the difference is often insignificant to the naked eye, especially when viewed on a small screen like a phone. A level of 60-70% is still acceptable for casual sharing. Below 50%, the quality loss will be obvious.
Reducing resolution is often more effective than reducing quality. 1080p video downgraded to 720p can reduce capacity by 50-70% and still be sharp on phones and small screens. Meanwhile, keeping 1080p but reducing the quality to 50% will create easily noticeable artifacts (noise, blocking). Combine the two: dropping to 720p at 80% quality usually gives the best results.
Yes, but it should be noted that YouTube will automatically recompress the video when uploading. If you upload a heavily compressed video, after YouTube processes it, the quality will decrease further. Recommendation: upload the highest quality video possible to YouTube, only compress when needed to reduce upload time or save bandwidth.
Compression time depends on: original video capacity and duration, compression level, and device performance. On a browser, a 50MB video can take 1-5 minutes. Larger videos or weaker devices will take longer. Desktop software like H and Brake is significantly faster, especially if there is a GPU that supports hardware encoding.
It's possible, but 4K videos are often very large (hundreds of MB to several GB) so compression in the browser will be very slow or impossible. Desktop software recommended for 4K video. If you don't need 4K, reducing it to 1080p will greatly reduce the capacity (4K has 4 times more pixels than 1080p).
This tool processes the video on your browser (client-side), the video is not uploaded to the server. This ensures personal video security. However, online services such as FreeConvert and Clideo will upload videos to their servers for processing.
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