Price: ₹1,499 - ₹704.00
(as of May 19, 2025 13:50:45 UTC – Details)
Package Contents 1 Elasticated Fitted Bedsheet & 1 Pillow Cover. The Fitted bedsheet Fits for 72 x 30 inches / 183 x 76 cms / 6 x 2.5 feet, Fits up to mattress thickness of 6 inch / 15 Cms and Pillow Cover Size is Standard size 28 x 18 Inches .Our fabric is TUV “ISO” Certified and the same is uploaded, Fabric qualities are guaranteed as 100% Cotton with 180 Thread Count gives an incredible smooth finish. No more tucking of Bedsheets every morning. Elastic border all along to give a neat finish and firm fit. Gentle Hand/Machine Wash in Cold water, Use Mild detergent, Don’t Bleach, Wash Separately. Color may vary slightly from Photographic Images. Trance Fitted bedsheets are available attractive prints which Enhances Room Decor and Are the Best for Festival Gifting , Housewarming-Anniversary gifts, Friends- Family Gifting.
Size: Elasticated Bedsheet : 72 x 30 inches / 183 x 76 cms / 6 x 2.5 feet : Pillow Covers: Standard size 28 x 18 / 71 x 45 cms
AUTHORITATIVE ORGANIZATIONS CERTIFICATION: TUV “ISO” Certified, Fabric qualities are guaranteed as 100% Cotton with 144 Thread Count gives an incredible smooth finish
Hand/Machine Wash in Cold water, Use Mild detergent , Don’t Bleach , Wash Separately. Color may vary slightly from Photographic Images.
Enrich your Room décor with all new printed bedsheets from Trance Home Linen. Best for Festival Gifting , Housewarming-Anniversary gifts, Friends- Family Gifting.
These fitted bedsheets are designed for the perfect fit. to tuck down neatly under your chosen bedding, to create a more comfortable sleeping experience and to protect your mattress.
Customers say
Customers find the bed linen set to be of good quality, with one mentioning it’s thick enough for daily use. Moreover, the fitted sheet provides a perfect fit, and customers appreciate its softness and pleasant color. Additionally, the cotton fabric receives positive feedback, with one customer noting it’s not mixed with synthetic materials.
AI-generated from the text of customer reviews