Product Photo Background Remover -- 2
Budget: ₹12,500 – ₹37,500 INR
I need a small, fast web application that lets visitors strip the background from product photos. Users will upload images through a simple single-file selector; once the file is submitted the site should automatically remove the background and return a transparent-PNG result they can download immediately.
Because many sellers prepare catalogues in bulk, the tool must also include a batch-processing option in the admin panel so I can queue multiple images for background removal at once. A clean, lightweight UI, clear progress feedback, and error handling for unsupported formats are all essential.
Please build it with any modern stack you are comfortable with—common choices like React + Node, Vue, or a Django setup are fine as long as the final site is responsive and deploys easily to a standard cloud host. Accuracy and speed of the background-removal algorithm matter more to me than the specific library you pick (remove.bg API, U-2-Net, etc. are acceptable).
Deliverables
• Complete source code with install / deploy instructions
• Front-end interface for single image upload and result download
• Admin or CLI utility enabling batch processing
• README showing how to swap or update the background-removal model if needed
I’ll test with a set of high-resolution product photos; acceptance is met when the output PNGs are cleanly clipped and processing time stays under five seconds per image on an average cloud instance.
Because many sellers prepare catalogues in bulk, the tool must also include a batch-processing option in the admin panel so I can queue multiple images for background removal at once. A clean, lightweight UI, clear progress feedback, and error handling for unsupported formats are all essential.
Please build it with any modern stack you are comfortable with—common choices like React + Node, Vue, or a Django setup are fine as long as the final site is responsive and deploys easily to a standard cloud host. Accuracy and speed of the background-removal algorithm matter more to me than the specific library you pick (remove.bg API, U-2-Net, etc. are acceptable).
Deliverables
• Complete source code with install / deploy instructions
• Front-end interface for single image upload and result download
• Admin or CLI utility enabling batch processing
• README showing how to swap or update the background-removal model if needed
I’ll test with a set of high-resolution product photos; acceptance is met when the output PNGs are cleanly clipped and processing time stays under five seconds per image on an average cloud instance.