Contact person: Business Client

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Location: Pataudi, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I have a library of roughly 30,000 product photos that all share the same centre-placed text watermark. I want a robust, repeatable workflow that strips that watermark cleanly, touches up a thin object strip that sits along the right edge, and exports every image on a fixed-size canvas so each product sits in an identical visual position.

My preferred stack is Python with OpenCV for the heavy lifting—specifically [login to view URL] for the watermark and object removal, masking utilities for batch work, and a bit of NumPy to automate the canvas alignment. When in-paint alone leaves artifacts, I usually lean on Photoshop’s content-aware fill / Generative AI, so the script should hand-off problematic frames to a watched folder that Photoshop can sweep through via actions or an ExtendScript.

Key points I need you to cover in your solution:
• A repeatable Python script that loads the source folder, applies a pre-defined mask for the centre text watermark (same coordinates every time), removes the thin right-hand strip, and inpaints seamlessly.
• Automatic re-centering of each product on a fixed canvas so every final file is visually uniform.
• Batch speed is crucial—think multi-threaded or chunked processing so thirty thousand files run unattended overnight.
• A concise README and commented code so my in-house dev can tweak thresholds later.
• Final deliverables: clean JPEG/PNG set with identical naming, the full source script, and the masking templates.

I will hand you a small test batch first; once output passes visual inspection and a quick SSIM check, we roll on the full archive. Let me know any additional libraries you need beyond OpenCV so I can clear them with IT before you begin.

Must know Python + OpenCV ([login to view URL], masking, batch processing) and Photoshop AI/content-aware tools. Needs to handle center watermark removal and right-strip object removal via masks, inpainting, and fixed-canvas output with consistent product alignment." (client-provided description)