Logo Asset Recovery Workflow from PDF and Illustrator to Figma

Logo recovery is one of those jobs that sounds trivial until the source files show up.

Someone sends an old PDF brand sheet. Another folder contains Illustrator files with inconsistent naming. There are flattened exports on the desktop, a partner one-pager with the only usable lockup, and three different versions of the same mark in unknown states of approval.

Then the design team gets asked to “just put the logos into Figma.”

That request is rarely about moving one file. It is about recovering a trustworthy logo system from scattered historical assets.

Convertify is useful here because the product page already supports importing PDFs, Illustrator files, and other external design formats into Figma. For logo recovery, the practical goal is not magical one-click perfection. It is bringing the best source material into Figma quickly enough that the team can rebuild a clean reusable logo library instead of redrawing marks from screenshots.

This article is deliberately different from nearby Convertify pieces like Brand Guidelines PDF to Figma Workflow, Rebrand Design Archive Migration Workflow, and Illustrator Icon Library Migration Workflow to Figma. Those cover broader brand documents, archive cleanup, or icon-set migration. This one is specifically about recovering logo assets from mixed historical files where the main risk is rebuilding the wrong source or preserving a messy one.

Treat logo recovery as source triage first

The worst way to start is by importing everything and cleaning it later.

Logo libraries accumulate a lot of noise:

• outdated marks
• unofficial lockups
• flattened exports
• partner-specific treatments
• color variations with no approval context

Before importing, sort the candidate sources into three buckets:

• likely authoritative
• possibly useful
• reference only

Likely authoritative sources usually include:

• original Illustrator logo packages
• official brand-guide pages
• vector PDFs exported from a trustworthy source

Possibly useful sources include:

• one-pagers containing a missing lockup
• sales collateral with a rare but approved mark
• old presentation slides where the vector survived

Reference-only sources include:

• screenshots
• compressed JPG logos
• low-resolution web exports

That triage saves hours because the team stops treating every found logo as equally important.

Import Illustrator and PDF sources with different expectations

Illustrator assets and PDFs do not usually create the same cleanup problems.

Illustrator files are more likely to preserve useful vectors, but may arrive with:

• strange artboard organization
• old color swatches
• hidden variants
• duplicated marks

PDF sources are more likely to help when:

• the official AI file is missing
• the only approved lockup lives inside a brand sheet
• the team needs to recover spacing or pairing rules from a reference document

If you need the direct mechanics for those imports, the tutorials on how to import Adobe Illustrator files to Figma with one click using Convertify and how to import PDF files to Figma with one click using Convertify are the most useful operational companions.

Recover the minimum viable approved set first

Do not begin with every historical variation.

Start with the smallest set that the team actually needs to use:

• primary horizontal logo
• primary stacked logo
• symbol-only mark if it exists
• monochrome or reversed version if it is truly approved

This is the set that should become the first clean Figma page.

Why this matters:

• it establishes which version is current
• it lets brand and marketing approve the core assets early
• it stops the file from turning into an archaeological dig

Once the core set is stable, then recover secondary marks, event lockups, or campaign-specific variants if they are still relevant.

Rebuild the organization, not just the vectors

A recovered logo that technically looks correct can still be operationally useless.

The usual problems are:

• no one knows which lockup is current
• black, white, and color versions are mixed randomly
• file names reflect old folders instead of actual usage
• the artboard contains exports, references, and master assets together

A better recovered Figma file usually needs clear sections like:

• Approved Primary Logos
• Approved Monochrome Variants
• Legacy Reference
• Needs Decision
• Partner or Contextual Lockups

That separation is what turns a recovered asset dump into a real working source.

If your imports often arrive visually intact but structurally messy, Figma Import Cleanup Checklist is the best adjacent article in the current library.

Validate spacing and alignment from the source, not from memory

Logo recovery often goes wrong when the team assumes it can eyeball the final lockup.

That is risky for:

• symbol-to-wordmark spacing
• vertical centering
• exclusion zones
• small-cap or letter-spacing details
• stacked lockups where proportions matter

This is where the imported source is valuable even if the final asset still needs cleanup. The goal is to preserve the approved relationships, not just the general shape.

A clean recovery pass should answer:

• Is this the approved mark?
• Is this spacing intentional or accidental?
• Is this variation still in active use?
• Does this version match the official brand reference?

If the answer is unclear, keep the candidate in a decision bucket instead of silently promoting it to “approved.”

Watch for false vector confidence

A converted logo can be vector and still be wrong.

Common traps:

• too many unnecessary nested groups
• broken compound shapes
• color values that do not match approved brand tokens
• a flattened shadow or outline accidentally preserved from print collateral
• a wordmark that looks right but uses outlines from an outdated file

This is why the goal is not “vectorize everything.” The goal is “recover a reusable, trustworthy set.”

Sometimes the right move is to clean the imported vector. Sometimes it is to rebuild one variation carefully from the best source. Sometimes it is to keep a source as reference-only while the team waits for approval.

Convertify gets the team to that decision point faster, which is the real leverage.

Finish with one usage-oriented verification pass

Before the recovered logos are handed to the rest of the team, check them in the kinds of places they will actually be reused:

• landing-page logo rows
• partner announcement graphics
• presentation title slides
• email headers
• one-pagers or PDFs

That pass catches practical issues like:

• lines that look too thin at small sizes
• reversed marks that need a better background treatment
• lockups that feel too wide for common layouts
• monochrome versions that lose recognition

The best recovery workflow does not stop at “the vectors imported.” It stops when the team can actually use the assets confidently.

A reliable recovery sequence

For most brand teams, this sequence is enough:

1. Triage candidate sources by authority.
2. Import the strongest PDF and Illustrator files with Convertify.
3. Recover the minimum viable approved logo set first.
4. Separate approved assets from legacy references and undecided variants.
5. Clean structure, naming, and spacing before wider reuse.
6. Validate the recovered marks in real downstream contexts.

That is what turns a scattered pile of old files into a Figma-ready logo source instead of one more temporary patch job.

Read as Markdown · Related resource index · Site index for AI agents