Large Figma exports usually come from preventable choices: huge source frames, wrong file formats, uncompressed fills, hidden raster weight, or PDF/video settings that do too much.
For designers and web teams, this is really a image optimization problem. The design source usually starts in Figma, but the final output has to survive production constraints, stakeholder review, and handoff to the next person in the workflow.
What to check first
Audit dimensions, flattening, image fills, transparency, format choice, vector complexity, and export presets before blaming the website or app build.
The mistake is waiting until the final export to discover these issues. A better workflow catches them while the design is still easy to adjust. That keeps the final output closer to the approved Figma file and reduces the amount of cleanup needed downstream.
A better Figma workflow
Use Figma as the source of truth, then make the production rules visible before handoff. That means naming important frames clearly, keeping realistic content in the design, checking edge cases, and deciding who owns the final review.
TinyImage helps because it can compress and export web-ready image files from Figma. It fits naturally into workflows involving web performance, asset compression, format selection, especially when the team wants to stay close to the approved design instead of rebuilding the work somewhere else.
Where teams go wrong
Most teams do not fail because they lack a tool. They fail because the workflow is unclear: nobody owns the final check, the output format is chosen too late, or small production constraints are ignored until launch pressure is high.
TinyImage can be the practical fix, but the first step is spotting the cause of the heavy export.
Next step
If this is a recurring workflow for your team, standardize the checklist and link it to the relevant TinyImage tutorial or product page. You can also explore TinyImage when you are ready to turn the Figma source into production-ready output with fewer manual steps.
Pro Bundle