What is Uncompressed Video?
Uncompressed video stores raw pixel samples without applying a video compression codec. It retains the available sample data but requires very high storage capacity, interface throughput, and transfer bandwidth.
How Uncompressed Video works
Uncompressed frames represent pixel samples directly in a declared raster, pixel format, bit depth, and sampling layout. They may be packed or planar and can use RGB or luma/chroma components, so “uncompressed” does not identify one byte arrangement. The format removes codec decoding from the path but shifts the burden to storage, memory movement, and interfaces. It is used around capture, monitoring, compositing, and test stages before a distribution encode.
A demuxer separates tracks from the container, decoders turn compressed streams into frames or samples, and filters apply spatial or temporal changes. Encoders compress the transformed tracks before a muxer writes the chosen output container.
Video compatibility is the product of codec, container, profile, level, frame rate, color, audio, and subtitles. Validate the complete output on target devices because a playable file on one decoder may fail or look different on another.
Key facts
- 1The base data rate follows frame dimensions, frame frequency, bit depth, and chroma sampling; transport blanking, packetization, audio, or interface framing can add further throughput.
- 2Uncompressed video is not synonymous with camera-raw data: raw sensor mosaics may still require demosaicing and color processing, while uncompressed video already contains formed pixel components.
- 3Decompressing a lossy source produces uncompressed frames for processing but cannot restore discarded information; those frames still carry artifacts and limitations from the earlier encode.
When Uncompressed Video matters
Use uncompressed video for capture, testing, or intermediate processing when preserving samples justifies the resource cost. Confirm that storage and interfaces sustain the data rate or frames may be dropped.
- Preparing uploaded video for web, mobile, connected-TV, social, or editorial playback.
- Creating clips, thumbnails, captions, alternate aspect ratios, and adaptive renditions.
- Normalizing camera, screen-recording, and user-generated files into predictable outputs.
Working with video at scale
Guidance that holds across every video term in this glossary, not just Uncompressed Video.
What you gain
- Standardized derivatives make diverse source files playable on target devices.
- A retained master can feed many resolutions, aspect ratios, codecs, and channels.
- Automated inspection and transformation make large upload volumes consistent.
What it costs
- More efficient codecs can lower bitrate at similar quality but usually cost more compute and may have narrower support.
- Higher resolutions and frame rates preserve more detail and motion while increasing processing and delivery requirements.
- Fast encoding settings improve throughput but can produce larger files or lower quality than slower analysis.
Answer these before production
- 1Inspect codec, container, dimensions, frame rate, color, audio, and subtitle tracks.
- 2Test visual quality and playback support across the slowest and oldest target devices.
- 3Preserve a suitable master before applying lossy, destructive, or delivery-specific changes.
How Transloadit helps with Uncompressed Video
When Uncompressed Video is relevant to your workflow, you can hand the surrounding video work to Transloadit instead of maintaining the processing stack yourself. Transloadit can transcode, resize, rotate, trim, concatenate, merge, watermark, subtitle, and generate video derivatives, then export each result as part of the same observable workflow.
Support for a specific codec, container, parameter, or combination can vary by Robot and processing stack. Check the linked documentation for the exact inputs and outputs available for your use case.