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Blend S

Blend S

2017TV Mini Series⏱️ 23mTV-14
AnimationComedyDramaRomance
6.8
IMDB Rating
1,798 votes

Sakuranomiya Maika is, by nature, a person with bad luck who always gets into trouble, but knows Dino, who manages a cafe. However, it is not any cafe, as the waitresses have to act according to their "attributes."

Director
N/A
Writers
N/A
Stars
Akari Kitô, Tatsuhisa Suzuki, Tomoaki Maeno
Release Date
October 8, 2017
Language
Japanese
Country
Japan
🏆 2
Wins
🎯 9
Nominations
💬 15
Reviews
📋 2.8K
Watchlists
📽️ View on IMDB

🎭 Top Cast

👤
Akari Kitô
as Kaho Hinata
Tatsuhisa Suzuki
Tatsuhisa Suzuki
as Kouyou Akizuki
Tomoaki Maeno
Tomoaki Maeno
as Dino Roma
👤
Azumi Waki
as Maika Sakuranomiya
👤
Anzu Haruno
as Mafuyu Hoshikawa
👤
Atsumi Tanezaki
as Miu Amano
👤
Sora Tokui
as Hideri Kanzaki
👤
Daichi Hayashi
as Customer
👤
Hiroyuki Endô
as Customer
👤
You Taichi
as Doujin Circle Member

🎬 Technical Specs

Aspect Ratio
16:9 HD
Sound
Stereo
Color
Color
Production
A-1 Pictures

🏷️ Keywords

crossdressingtv mini seriesbased on mangabased on comic stripgirl

🎯 Categories

JapaneseAnimeRomantic ComedySeinenSlice of LifeWorkplace DramaAnimationComedyDramaRomance

⭐ Featured Review

Beautiful Anime!
by TheGreatGreenBadger2020-01-20
9/10

"I LOVE this anime so much! The character types, the sadist, the tsundere, the trap, the imouto, and the big sister, and the manager always made me laugh! Had a lot of fun!..."

💡 Did You Know?

Based on a seinen manga series written and illustrated by Nakayama Miyuki. It made its first appearance in Houbunsha's Manga Time Kirara Carat magazine with the October 2013 issue, and began serialization in the magazine with the March 2014 issue. The last chapter was published in the June issue on April 28, 2022. Eight tankobon volumes of the manga have been released with the last on May 26, 2022.

📖 Synopsis

Sakuranomiya Maika is, by nature, a person with bad luck who always gets into trouble, but knows Dino, who manages a cafe. However, it is not any cafe, as the waitresses have to act according to their "attributes."