Estimate the uncompressed file size of an image, audio clip, or video based on its technical parameters.
📂 Technology & InternetFill in the fields on the left, then press the button to see your result instantly. Everything runs locally in your browser — no sign-up required, and no data is ever sent anywhere.
Estimating file size before creating or transferring a file is useful for planning storage needs, upload/download times, or how many files will fit on a device. This calculator computes theoretical uncompressed size using standard formulas: for images, width × height × bits-per-pixel ÷ 8; for audio, sample rate × bit depth × channel count × duration ÷ 8 (the same math behind uncompressed WAV file sizes); and for video, a simpler bitrate × duration ÷ 8 calculation, since video is normally distributed already compressed rather than as raw uncompressed frames. These are ceiling estimates for raw or lightly-encoded formats — real-world compressed formats like JPEG, MP3, or H.264 video achieve dramatically smaller file sizes than these uncompressed calculations by removing redundant or perceptually less important data. Treat the result as a useful upper bound for planning purposes, not a prediction of the exact size a compressed export will produce. Knowing this ceiling is especially helpful when deciding whether raw or lightly-processed media will fit on a device or within an upload limit before you commit to exporting it.
Multiplying a few numbers together to estimate a file's size sounds like it should give a precise answer, and for genuinely uncompressed formats, it does. But almost every photo, song, and video file you actually encounter on a daily basis is compressed, sometimes dramatically so — which is exactly why understanding the uncompressed baseline this calculator produces is useful precisely because of how far real files diverge from it.
An uncompressed image stores a fixed number of bits for every single pixel, with no cleverness applied at all: a 1920×1080 photo at 24 bits per pixel (8 bits each for red, green, and blue) requires exactly 1920 × 1080 × 24 ÷ 8 bytes, regardless of whether the image shows a complex, colorful scene or a plain white wall. Real image formats like JPEG achieve much smaller files by exploiting the fact that large areas of similar color, and visual detail the human eye is less sensitive to, can be represented far more compactly than a naive pixel-by-pixel encoding — often shrinking a file to a small fraction of its uncompressed size with minimal visible quality loss.
Uncompressed audio, the kind found in a WAV or AIFF file, follows the same 'store everything literally' principle: every single audio sample, at whatever bit depth and sample rate was used to record it, is stored directly with no reduction at all. This is exactly why an uncompressed 3-minute stereo CD-quality song runs to roughly 30 megabytes, while the same song as an MP3 might be only 3-5 megabytes — compressed audio formats remove sound information the human ear is statistically less likely to perceive, particularly frequencies masked by louder simultaneous sounds.
Video calculations work differently in this tool specifically because truly uncompressed video is so enormous that it is almost never encountered outside of professional production environments — a single minute of uncompressed 1080p video can run into multiple gigabytes. Real-world video is essentially always already compressed at the point of creation, which is why bitrate (the amount of data used per second of playback, after compression) is the practical, standard way to estimate a real video file's size rather than a pixel-by-pixel uncompressed calculation.
Knowing these uncompressed baselines is genuinely useful for understanding storage and bandwidth requirements at their theoretical maximum, for working with specialized formats that are stored uncompressed by design (certain professional audio and image workflows), and simply for appreciating just how much modern compression algorithms manage to shrink everyday media files without most people ever noticing a meaningful quality difference.
Compressed formats like JPEG, PNG, MP3, and H.264 use encoding techniques that remove redundant data, often shrinking files to a fraction of their uncompressed size — this calculator estimates the uncompressed baseline, not the compressed result.
Video is virtually never distributed as raw uncompressed frames due to its enormous size; bitrate (how much data is used per second of playback) is the standard practical way to estimate real-world compressed video file sizes.
24-bit ("True Color") is standard for photos with full color range; 32-bit adds a transparency (alpha) channel, common for graphics and logos rather than photos.