What this Footage Storage Calculator does
The Footage Storage Calculator estimates the decimal gigabytes needed to store a specified amount of video. It uses the duration, frame dimensions, frame rate, stored bits per pixel, and an assumed compression ratio. These inputs describe a simplified data model, so the result is useful for planning and comparing scenarios rather than predicting the exact size of a particular camera file.
Video data grows with both the number of pixels in each frame and the number of frames recorded. More recording time creates more frames, while a higher frame rate adds frames each second. Bit depth represents the modeled number of stored bits for each pixel. The compression ratio reduces that uncompressed estimate. For example, a ratio of 10 means the model estimates a compressed stream one tenth the size of the uncompressed data.
The result is shown as Estimated Storage in decimal gigabytes, where one GB is 1,000,000,000 bytes. Actual files may use different formats, metadata, audio tracks, variable bit rates, or encoding settings, so their sizes can differ from this estimate.
How to use the Footage Storage Calculator
Enter the values that describe the footage you expect to record. Duration is measured in hours. Frame width and height are measured in pixels, frame rate in frames per second, and stored bits per pixel as a numeric bit count. The compression ratio should represent uncompressed size divided by compressed size. Use 1 for an uncompressed estimate.
- Duration: enter the total recording time you want to size.
- Frame dimensions: enter the horizontal and vertical pixel counts for the video.
- Frame rate: use the number of frames recorded each second.
- Stored bits per pixel: enter the bit count assumed by your model. The default of 24 is a simple example, not a specification for every codec.
- Compression ratio: supply a ratio based on a known workflow or an estimate you want to examine.
As a worked example, use the defaults: one hour, 1,920 by 1,080 pixels, 30 frames per second, 24 bits per pixel, and a compression ratio of 10. The formula is 1 × 3,600 × 1,920 × 1,080 × 30 × 24 ÷ 10 ÷ 8 ÷ 1,000,000,000. This gives 6.718464 decimal GB, displayed as 6.72 GB. This is the output of the stated assumptions, not a measured camera file.
How the Footage Storage Calculator formula works
The calculation first multiplies duration in seconds by pixels per frame, frames per second, and bits per pixel. Dividing by eight converts bits to bytes. Dividing by the compression ratio estimates the compressed data amount. Finally, dividing by one billion converts bytes to decimal gigabytes.
In compact form, the model is duration in hours × 3,600 × width × height × frame rate × bits per pixel ÷ compression ratio ÷ 8 ÷ 1,000,000,000. The formula assumes the entered dimensions, rate, bit depth, and compression relationship remain constant throughout the footage. It treats the stored bits per pixel as an input because video formats and encoding pipelines do not all represent color and image data in the same way.
Compression ratio is especially important. A larger ratio produces a smaller estimate. It should not be interpreted as a guaranteed property of a codec or camera, since content complexity and encoder settings can change the resulting data rate. If you know a representative file size or bitrate from the intended recording setup, that evidence may be more useful for estimating future footage than a generic ratio.
Use cases for the Footage Storage Calculator
This estimate can help a production team compare storage scenarios before recording, editing, or archiving. It can give a rough sense of how changing resolution, frame rate, recording duration, or compression assumptions affects capacity. Editors may also use it to frame an initial conversation about working media and backups, then refine the plan with actual test clips.
For a shoot with several recording blocks, calculate each block using its own settings and add the estimates. If cameras use different resolutions or rates, keep their scenarios separate before summing. A single average can hide the larger storage demand from a high frame rate or a less compressed recording mode.
For a practical planning worksheet, note the assumptions alongside each result:
- Camera or recording mode being modeled
- Expected footage hours for that mode
- Resolution, frame rate, and bit-depth assumption
- Source for the compression ratio, such as a sample recording
- Whether the figure is for originals, proxies, exports, or another copy
Keeping this information together makes estimates easier to revisit when the production plan changes. The calculator gives a baseline data volume. It does not automatically include separate copies, proxy media, audio, project files, or a reserved capacity margin.
Other factors to consider when calculating footage storage
Real video files are shaped by encoding choices and content. A scene with motion, fine detail, noise, or rapid changes may compress differently from a static scene. Some recording systems use variable bit rate, so data production can vary over time. Audio tracks and container metadata also add data that this pixel-based model does not calculate.
Storage planning often covers more than one copy of the camera originals. Teams may keep working media, backups, proxies, and finished exports. Estimate those items separately when their sizes are known, then add them to the footage estimate. Do not assume that the result represents the total capacity needed for a project or an entire archive.
Whenever possible, record a short representative test using the intended camera settings. Measure the resulting file size and recording duration, then derive an observed data rate for that workflow. Repeat this for materially different modes. Real measurements can capture codec behavior more closely than a generic compression assumption, though production changes can still affect later files.
Footage Storage Calculator FAQ
Is the result an exact file size?
No. It is an estimate from the listed inputs and a simplified compression model. A camera file can differ because of codec behavior, variable bit rate, audio, metadata, and scene content.
What does the compression ratio mean?
It is the uncompressed size divided by the estimated compressed size. A ratio of 10 models compressed data at one tenth of the uncompressed amount. Use a value grounded in your recording workflow when available.
Why does resolution affect storage?
Resolution determines the number of pixels in each frame. With other inputs unchanged, more pixels mean more modeled data for each frame and therefore a larger estimate over time.
Should I enter the camera's bit depth?
Enter the stored bits-per-pixel assumption relevant to the model. Camera bit depth may describe color precision in a way that does not directly equal this field, depending on chroma sampling and encoding. Check the recording format documentation or use sample footage to refine the assumption.
Does this include backups and proxy files?
No. The result estimates one modeled stream of footage. Add separate estimates for additional copies, proxies, audio, project files, and exports when planning total capacity.