Description
Price: $449.99 - $299.99
(as of Apr 21, 2025 23:35:14 UTC – Details)
[Hot Air-Drying Technology] Set the dreame H12 PRO Wet Dry Vacuum Cleaner in place, then press the button to start the self-cleaning process. The brush is dried by hot air drying in 1 hour, giving no work to your hands.
[Edge-to-Edge Cleaning] With an enhanced dual-edged cleaning brush, dreame H12 PRO Vacuum Mop specializes in dealing with hard-to-reach region and cleaning close to baseboards and deep into corners.
[Long Running Time] A 6×4,000mAh battery pack delivers 35 mins* running time of cleaning every time. A 900mL clean water tank makes it possible to clean a 2150 ft² area every day without having to recharge or reload. (Runtime is based on laboratory testing done by Dreame)
[Smart Messes Detection] With the help of a sophisticated sensor, the H12 PRO Vacuum Mop optimizes power usage, cleaning performance, and noise levels by adjusting suction in response to the mess it detects. Clean intelligently to get rid of spills, hair, debris, dirt, and dust.
[Effectively Prevent Winding] The Dreame H12 PRO’s included serrated brush scraper maintains the brush roller clean while in use by picking up debris and pulling them off to the spent water tank, which can help to some extent prevent hair from winding on the brush.
Customers say
Customers find the vacuum cleaner effective at cleaning floors and working well on laminate surfaces, with one customer noting it does the job perfectly on the first swipe. They appreciate its self-cleaning feature, ease of use, and simultaneous sweeping and mopping capabilities, while also praising its drying feature that leaves floors barely damp after each pass. The value for money and build quality receive mixed feedback – while some consider it well worth the money and built like a tank, others find it not worth the price and report it breaking within two months of use. Water efficiency is also mixed, with some customers reporting no excess water while others mention it leaves pooled dirty water.
AI-generated from the text of customer reviews
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