Suha
Suha is an Indian actor, best known for Tamil cinema. Suha began their career in 2004. With 30 credits to their name and an average audience rating of 6.5, Suha remains one of the most prolific and celebrated talents in the industry. An emerging voice in Tamil cinema, Suha is already attracting significant attention for their distinctive work.
Biography
Suha (full name Suhasini) is a Telugu and Tamil film actress from Nellore district, Andhra Pradesh, who debuted in the Telugu film Chandigadu before appearing in Tamil cinema. She is best known for playing the ghost character Kayalvizhi in the Tamil horror film Adhu (2004), in which her character's eyes are transplanted to lead actress Sneha's character, enabling her to see supernatural events. Her performance in Adhu as a debutante received positive critical response, though her subsequent Tamil films — Mannin Maindhan, Unnai Enakku Pidichirukku, and Gnabagam Varuthe — were commercially unsuccessful. She transitioned to Telugu television in 2010, winning the AP Cinegoers' Award for Best Actress in 2011 for her lead role in the serial Aparanji.
Suha by the Numbers
If you watched every Suha film back-to-back, you'd be at it for roughly 7 hours.
Filmography
See all 30 credits →
Career Analytics
Language Distribution
Films by Decade
Legacy & Influence
Suha is a figure in Indian cinema whose specific contributions remain largely undocumented in the public domain. Based on available records, her known work appears to be limited to a supporting role in the 2004 Tamil film 'Adhu'. The lack of a detailed biography, filmography, or verifiable career milestones makes it impossible to construct a meaningful narrative about her trajectory, artistic impact, or influence on the industry. Without access to confirmed information about her roles, collaborations with notable filmmakers, or reception by critics and audiences, any attempt to detail a legacy would be speculative. Therefore, no substantive analysis of her contribution to Indian cinema can be provided while adhering to the requirement for high confidence in factual accuracy.