This is an example of an agent your team can build in Sylvie: an Image Text Remover agent that takes images with headlines, offers or old campaign copy baked in and returns clean plates you can reuse, relocalize and refresh, at the scale of a real asset library. It runs on your brand brain, so it knows which text is editable campaign copy to remove and which is a protected logo or lockup to leave untouched, and it files each cleaned plate against the right campaign and market. You build it once, and a library full of single-use images becomes a library of reusable ones.
Sylvie does not ship this agent pre-built. It is an example of an agent your team can build with Sylvie, powered by your brand brain, so it runs your workflow the way you actually run it.
Image Text Remover is an example of what a marketing team or agency can build in Sylvie, not a product we ship you finished. It removes text and overlays from images (a headline burned into a hero shot, an old price on a product photo, last season's tagline on a banner) and reconstructs a clean background, so the asset can carry new copy instead of being retired. It works across your whole library, not one file at a time.
Every team is sitting on images it can only use once because the message is fused into the pixels. Reusing them means a designer opening each file, cloning out the text by hand, and hoping the background holds, which is why it rarely happens and assets get reshot or re-licensed instead. An agent built on your brand brain does that cleanup at library scale and knows the difference between copy to strip and a logo to protect, so reuse becomes the default, not a favor you beg a designer for.
The agent starts from your brand brain, so it does not erase blindly. The brain holds your brand marks and lockups, so it knows the logo and the legal line have to stay while the campaign headline comes off, your asset library and naming conventions, so a cleaned plate lands where the team will find it, and the markets and campaigns each asset serves, so the output is filed for what comes next. That context is the difference between a smart cleanup and a tool that deletes your logo.
From there it runs the workflow end to end inside Sylvie: it detects the text and overlays on each image, removes the campaign copy, rebuilds the background behind it, leaves protected marks in place, and returns clean plates named and filed against the right campaign or market. You review the edge cases and push the plates into your DAM or design tool, and new assets get cleaned as they land. Every action is logged, so you can see exactly what was removed from each file.
Images that were single-use because the message was baked in become clean plates ready for new copy, so the team relocalizes or refreshes an asset instead of paying to reshoot or re-license it.
Because it reads your logos and lockups from the brand brain, the agent strips the campaign headline but leaves the mark and the legal line untouched, so cleanup never quietly erases the one thing that has to stay.
A backlog of thousands of text-baked assets gets cleaned in a fraction of a manual pass, so the reuse project that never gets a designer assigned finally gets done.
Strip the English headline once and every market gets a clean plate to drop its own language onto, so rolling a campaign into ten regions stops meaning ten separate design jobs.
Each plate comes back named and sorted against the right campaign and market from the brand brain, so cleaned assets are findable in your library instead of piling up in a downloads folder.
The hours designers lose cloning out old text go back into actual creative, and the cleanup that used to jump the queue as quick favors runs on its own.
Baked-in text is the reason most images get used once and forgotten. Here are the moments an Image Text Remover agent you build in Sylvie earns its keep.
A campaign shot in English has to run in ten regions, and every hero image has the headline burned in. The agent strips the copy from each master and returns clean plates for every market to localize, so a global rollout stops waiting on a designer to hand-clean each file. Ten market versions ship in the time it used to take to prep one.
Last season's assets are perfect except for the old tagline and price fused into them. The agent clears the dated text and returns plates ready for the new message, so the seasonal refresh reuses proven imagery instead of booking another shoot. A refresh that meant a new production budget becomes an afternoon of cleanup.
Years of licensed and archived images sit unused because each one carries a headline from the campaign it was made for. The agent cleans the whole set into reusable plates, filed by campaign, so the archive becomes a live asset library again. Assets you already paid for start earning their keep instead of being re-bought.
The team wants to reuse a strong finished ad as a template, but the winning layout has the copy baked into the art. The agent removes the text and hands back a clean base the design team can turn into an editable template. A one-off that performed becomes a format the whole roster can run.
A retailer or partner needs your hero image without your campaign copy so they can add their own, and normally that means a designer rebuilding it. The agent returns a clean plate with your protected marks intact and the campaign line gone, ready to share. Partner requests that took days turn around same-day.
Photos from an event or a creator come in with on-image captions, stickers or timestamps that keep them off-brand. The agent removes the clutter and returns clean, on-brand plates for the content team to caption properly. A folder of unusable shots becomes publishable in one pass.
A generic tool erases whatever you point it at and has no idea what it is looking at. This is an agent you build on your own brand brain, so it knows your logos and lockups have to stay while the campaign copy comes off, and it files each cleaned plate against the right campaign and market. You get reusable, correctly sorted assets at library scale, not one hand-cleaned file at a time.
You build it. Image Text Remover is an example of what a team can assemble in Sylvie, not an out-of-the-box product. We help you stand it up on your brand brain and connect it to your asset library, so it cleans and files images the way your team actually organizes them.
The brain is what makes the cleanup smart. It holds your brand marks (so protected logos and legal lines are left alone), your asset library and naming conventions (so plates come back filed where you will find them), and the campaigns and markets each asset serves (so the output is ready for what is next). Without that context you would have a blunt eraser; with it you have an agent that understands your assets.
It rebuilds the background behind the text rather than dropping a box over it, and it hands you the edge cases to review rather than pretending every file is perfect. Because you build the agent on your own standards, you set the quality bar it holds to, and every removal is logged so you can check exactly what changed on each asset.
That is the point of building it yourself. You define what counts as removable copy versus a protected mark, which library or DAM the plates land in, and how they are named and tagged. As your campaigns and markets change you adjust the agent, and because it lives on the brand brain those rules carry across every future batch.
Each brand brain is isolated, and the agent only works inside the one it is built on, so no client's images cross into another's. Every action is logged and every plate traceable to its source, and you keep the same permission and governance controls that apply across the rest of Sylvie.
Book a demo and we will map the workflows worth turning into agents, and show how each one runs on your brand brain.
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