Our story.
Clearframe was founded by TV producer and director Phillip Moss. While working on an archive music programme for the BBC, he was frustrated that clips from shows in the 70s, 80s and 90s just looked too soft and noisy on today’s bigger TV screens.
What had been remembered as sharp and vivid was actually blurry and grainy.
Clearframe’s AI powered clean-up process takes standard definition footage and brings it back into the 21st century. Over several stages we upscale to HD (and beyond), restore detail and remove noise from the original videotape or film sources.
The results are truly impressive - the machine learning techniques can recover detail from footage that was considered barely usable.
So, if your show is all about the archive - doesn’t it make sense to make that footage the best it can be?
How the Clearframe process works.
1
Work on your edit. When you’re almost done, send us just the archive clips you want to use.
2
On every clip we remove defects, repair faults, upscale to HD and remove noise.
3
In less than a week, we send back the processed clips, on the same timeline as your edit.
4
Drop the clips back into your edit, ready for the online and grade. Simple and streamlined.
Every archive clip is individually logged and processed through several stages,
each time being refined and improved so that archive shots can hold their own alongside any newly-shot HD footage.
Clearframe’s AI-powered cleanup restores the lost detail, removes the noise and can even improve on the original during the upscale to HD.
If archive footage is crucial to your content - talk to Clearframe.