How Much Disk Space Can You Save by Recompressing Videos?

Published March 21, 2026 · 5 min read

You know your videos are taking up too much space. The question is: how much can you actually reclaim by recompressing them with a modern codec? The answer depends on what you recorded with, what codec was used originally, and what settings you target. This article presents real-world numbers across the most common video sources so you can estimate your own savings before running a single encode.

What Determines Compression Savings?

Three factors control how much smaller your files will get:

• Source codec and bitrate — Videos recorded in older codecs (H.264) or at high bitrates have the most room for improvement. A GoPro recording at 100 Mbps in H.264 will compress far more than an iPhone recording at 30 Mbps in HEVC.
• Content complexity — Static scenes (security cameras, interviews, screen recordings) compress much better than high-motion scenes (sports, action footage, concerts). A security camera with a fixed background might compress 60–70%, while a fast-moving drone shot might only achieve 40–50%.
• Target codec and CRF — H.265 at CRF 23 offers a good balance of quality and savings. AV1 at CRF 30+ pushes savings further but takes longer to encode. The more aggressive your settings, the more space you save — up to the point where quality degradation becomes visible.

Real-World Results by Source

All results below use H.265 as the target codec at CRF 22 (visually lossless) unless otherwise noted. Savings percentages are averaged across multiple sample files.

Phone Videos (iPhone / Android)

Modern iPhones record in HEVC (H.265) by default, while many Android phones still use H.264. Even HEVC recordings from phones use conservative bitrates that leave room for recompression.

GoPro / Action Cameras

Action cameras record at very high bitrates to handle fast motion and sudden scene changes. GoPro models typically record H.264 at 60–100 Mbps or HEVC at 60–80 Mbps. These inflated bitrates are where recompression shines brightest.

Drone Footage (DJI)

Drone footage tends to have large areas of slowly changing landscape, which compresses very well. DJI drones record at high bitrates (60–150 Mbps) to capture aerial detail, leaving substantial room for recompression.

Security Camera Footage

Security cameras are an ideal recompression target. Most of the frame is static background with only occasional motion. This kind of content compresses extremely well, especially when moving from H.264 to H.265.

Wedding Videos

Wedding footage is often shot in high-quality H.264 at elevated bitrates. Because these recordings are irreplaceable, most users target a conservative CRF (18–20) for visually lossless quality, which limits the savings compared to more aggressive settings.

The Big Picture

Most people have a mix of video sources on their drives. Here is what you can expect when recompressing a typical mixed library to H.265 at CRF 22:

For a typical 2 TB video collection with a mix of phone, GoPro, and drone footage, you can realistically expect to reclaim 800 GB to 1.2 TB of disk space. That is the equivalent of an entire extra hard drive's worth of storage, without deleting a single video.

Tips for Maximizing Savings

• Target H.264 files first — Videos recorded in older H.264 offer the largest savings when recompressed to H.265. Start with these for the biggest immediate impact.
• Use modern codecs — H.265 is the safe default. AV1 saves an additional 20–30% over H.265 if you have the hardware or patience for slower encoding.
• Match CRF to your use case — Use CRF 18–20 for irreplaceable footage (weddings, events), CRF 22–24 for general archiving, and CRF 26–28 for bulk storage where quality is less critical.
• Skip already-efficient files — If a file is already in H.265 at a reasonable bitrate and CRF, recompressing it again will yield diminishing returns and may introduce generational quality loss. VideoRecompress Studio automatically detects these files and flags them.
• Use GPU acceleration for large libraries — Hardware encoding is 5–10x faster than software. The 10–20% larger file size is a worthwhile tradeoff when processing terabytes of video.