A client handoff is not just a folder of finished files. It is also a decision about which versions you are delivering, what information they contain and what the client needs to know before publishing them.
The answer is not to strip everything. Some metadata is useful. Some may be unnecessary in a public copy. Make that distinction part of the handoff rather than an afterthought.
Separate the archive from the delivery folder
Keep camera originals, editable projects and the information you need for your records in a production archive. Create a separate folder for final deliverables.
This gives you room to prepare sharing copies without treating those copies as the only record of the work. Use filenames that make the versions obvious, especially if the client receives both editable and flattened exports.
Agree on provenance and disclosure
If the work includes AI-assisted editing, establish how that should be documented with the client. Do not silently remove attribution, provenance or information the client expects to retain.
Metadata cleanup does not change the production process or cancel disclosure obligations. Platform rules, contracts and the client's policies still apply. Explain the difference between cleaning a file and changing how the work should be described.
Inspect what you are actually delivering
Check the final exports rather than assuming the source project and export contain identical information. Look for supported generator records, Content Credentials and private metadata that may not belong in a public sharing copy.
FreeAIWiper lets you inspect supported files locally in your browser. Selected content is not uploaded to the cleaner's server. Check its format coverage and follow your client's approved-tool requirements.
Clean selectively, then review
If cleanup is appropriate, work on the sharing copy and keep the original. FreeAIWiper removes supported AI metadata and offers optional private-metadata cleanup, then reinspects the rebuilt output before download.
Open the result yourself. Check its appearance, content and any document features that matter. A successful metadata check does not establish that every aspect of a deliverable meets the client's requirements.
Include a short handoff note
Identify the final sharing files, say whether supported metadata was cleaned and explain where originals are retained. Avoid descriptions such as completely anonymous or guaranteed AI-label-free.
If the client posts to social media, explain that platforms can still apply labels based on other signals or disclosures. Our social-media AI-label guide covers that distinction.
Good delivery hygiene is not about hiding the workflow. It is about making the files, their history and the client's next steps clear.