Opti-Frame by Parr Lumber

OPTI-FRAME is a pre-cut framing-by-numbers package that makes framing more convenient, efficient, eco-friendly and accurate. Send us your plans and we will pre-cut, pre-label and bundle your frame packs in order of assembly, delivered directly to your jobsite.

convenient icon


We deliver pre-cut, labeled, ready to assemble framing packages bundled by location, straight to your job-site with easy-to-follow installation instructions, allowing your framers to focus on the assembly instead of measuring and cutting.
efficient icon


Reduce the amount of time spent on ordering, processing, and scheduling with up to 30% reduction in framing time compared to regular stick framing.
eco friendly icon


Whether it's a defect, exposed to the weather, absorbing moisture from the ground, or just leftover scrap from cutting, unused wood accounts for up to 40% of job site waste. Opti-frame packs are delivered right before assembly, cut with precision and of high quality.
accurate icon


Built in an enclosed, factory environment, OPTI-FRAME packs are manufactured under a strict quality assurance program, adhering to all industry standards and municipal codes, ensuring that you get an accurate lumber pack on time, every time.
consistent icon


Consistent packs provide project control and solidified pricing. Every piece has its place, reducing the risk of re-cutting, redoing and rebuilding, reducing extra orders of unexpected materials which can result 6in budget overages.
theft reduction icon

Theft Reduction

OPTI-FRAME packs are delivered right before assembly, reducing the amount of time lumber sits on a job site, and since it’s full of pre-cut components, it’s less likely to be of value to thieves.
safety icon


OPTI-FRAME reduces the need for on-site cutting and power tools, significantly decreasing the risk of job-site accidents and workman’s comp claims. Smart packs make for a cleaner and more organized jobsite allowing for a professional appearance and less tripping hazards.

Contact Parr Lumber