Wispr Flow says India is its fastest-growing market after Hinglish rollout

Wispr Flow says India has become its fastest-growing market after it began tailoring its voice input software to Hinglish, the code-switching mix of Hindi and English that shapes everyday speech for millions of users.

The Bay Area-headquartered startup now says India is its second-largest market after the United States in both users and revenue, a sign that voice AI is moving beyond a niche productivity tool and into a much larger test of linguistic fit. Tanay Kothari, the company’s co-founder and chief executive, said the India push accelerated after Wispr Flow started beta testing a Hinglish voice model earlier in 2026.

That shift matters because India is not a clean English-speaking market. Its internet users already lean heavily on voice notes, voice search and multilingual messaging, but those habits have not translated easily into durable AI businesses. The challenge is not only scale, it is accuracy across accents, regional languages and mixed-language speech that can change from sentence to sentence.

Wispr Flow is betting that the market is large enough to justify the complexity. The company first launched on Mac and Windows, then expanded to iPhone in 2025, and later brought the product to Android, the dominant mobile operating system in India. Its India page says Flow supports 100-plus languages, including and Hinglish, and is available on Mac, Windows, iPhone and Android running OS 13 or newer.

Kothari said the earliest Indian users were mostly white-collar professionals, especially managers and engineers. More recently, the company has seen broader adoption among students and older users, often after younger family members helped bring them onto the app. That widening base suggests the product is crossing from office workflows into everyday use, even if the market remains early and fragmented.

The company’s own instructions also point to the core obstacle: users are told to select their preferred language or languages in Settings for best results. That kind of guidance underscores that multilingual reliability is still a live product problem, not a solved one.

The stakes extend beyond one startup. OpenAI’s IndQA benchmark specifically added Hinglish because code-switching is so common in Indian conversations, a reminder that India has become a proving ground for whether voice AI can adapt to how people actually speak at scale. For Wispr Flow, the early gains in India may be the clearest evidence yet that the market rewards products built around linguistic reality, not clean English assumptions.