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Automated Photo Editing – Why should you choose it over manual editing?

The engine driving the e-commerce product photography train has three main cogs- pre-production, product shoot and the post-production process. While the first two require considerable human intervention, it is the post-production of the assets that are extremely time and labour intensive. E-commerce sales rely on the fast updation of product images and this is where AI has significantly impacted the image editing aspect.

So why should you choose automated image editing over manual? Read on:

1) Consistency


Although most product photography is primarily shot against a white background, it still needs a significant amount of editing to make it clear, crisp and sell-ready. Almost 100% of e-commerce images are edited which in turn means a high probability for human error, even in the digital age of photo manipulation.

With AI based image editing, consistency is maintained as the parameters are fed into the algorithm, and it creates each image on the same parameters. Each photo will have the same focus, brightness, crispness and clarity for aggressive customer acquisition.


2) Cost-effective


While the photography in itself involves a certain amount of creativity, product image editing is largely considered to be a mundane and monotonous task. Most e-commerce retailers expense a large sum of money on outsourced manual photo editing, every time a catalogue or category of products is launched on the store.

Lesser dependency on manpower and higher output of images as compared to traditional editing practices makes image editing with AI cost effective. In fact, time required to edit images decrease over time as the system is intelligent enough to lear & improve efficiency.



3) Faster turnaround time


Even with the help of photo editing tools such as Photoshop, a typical manual photographer can take well over 24 hours to edit a set of 100 photographs( approximate). Faster turnaround time is critical in an e-commerce store’s success and customer sales.

The key factor tipping the scale towards automated editing is that AI-based services such as ImageEdit can deliver an entire catalogue of product images in less than 30 mins.


4) Scalability


The biggest advantage of automation in image editing has to be the ability to scale up easily. Take the case of an apparel e-commerce retailer whose prime objective is to constantly keep up with current fashion trends, fashion week designs and continuously revamp their product range. Manual editing presents a huge disadvantage when scaling up, and simply cannot keep up. Especially when it comes to the skilled workforce.

With automated image editing, editing happens in less than 30 mins, giving retailers the desired scope to scale at an exceptional rate at minimal costs & effort.

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