Video Frame Size Calculator - Resolution & Storage

Every video is composed of a sequence of individual images called frames. The size of each frame — measured in bytes — determines how much storage a video requires, how much bandwidth is needed to stream it, and how much processing power is required to encode or decode it. Understanding frame size is therefore fundamental to any video production, distribution, or archival workflow. The uncompressed frame size formula is straightforward: Frame Size (bytes) = Width × Height × Bit Depth × Color Channels ÷ 8. The division by 8 converts from bits to bytes. For a standard Full HD frame (1920×1080) with 8-bit color depth and three RGB channels, the uncompressed size is 1920 × 1080 × 8 × 3 ÷ 8 = 6,220,800 bytes, or approximately 5.93 MB per frame. At 30 frames per second, that translates to roughly 178 MB per second of raw video — an enormous data rate that makes uncompressed storage impractical for most applications. Compression is what makes digital video manageable. Video codecs — the algorithms that encode and decode video streams — exploit two types of redundancy. Spatial redundancy refers to repetitive information within a single frame: smooth backgrounds, gradual color gradients, and areas of uniform texture can all be represented far more compactly than raw pixel arrays. Temporal redundancy refers to similarity between adjacent frames: if the camera is stationary and only a small object is moving, most of each frame is identical to the previous one and only the differences need to be encoded. The compression ratio field in this calculator represents how many times smaller the compressed frame is compared to the raw uncompressed version. A compression ratio of 10 means the compressed frame is one-tenth the size of the uncompressed version. Typical compression ratios vary widely: lossless codecs achieve 2:1 to 4:1; H.264 at typical web quality achieves 50:1 to 100:1; HEVC (H.265) achieves similar quality at 100:1 to 200:1; professional ProRes codecs target 5:1 to 20:1 to preserve grading headroom. Bit depth affects the number of discrete brightness levels each channel can represent. An 8-bit channel stores 256 levels, a 10-bit channel stores 1,024 levels, and a 12-bit channel stores 4,096 levels. The higher the bit depth, the smoother the tonal gradations and the better the footage holds up to color grading and compositing. Cinema cameras commonly capture in 10-bit or 12-bit RAW, while consumer cameras and web content typically use 8-bit. Color channels determine how many independent color components each pixel contains. Standard RGB video uses three channels (red, green, blue). Content with transparency — such as motion graphics with alpha channels for compositing — uses four channels (red, green, blue, alpha). Some specialized formats such as CMYK or multi-spectral imaging use more channels, but three and four are by far the most common in video production. By understanding the relationship between these parameters, you can make informed decisions about which codec and quality settings to use for any given project, balancing storage costs, encode time, and visual quality against your production and delivery requirements.