Indians are beginning to search for travel in the language they speak, data shows

MakeMyTrip, India’s leading online travel company, shared observations from Myra, its Gen-AI powered Trip Planning Assistant, pointing to an emerging behavioural trend in how Indian travellers are beginning to interact via voice. While Myra’s user base is still growing and now delivers more than 50,000 conversations daily, the initial data suggests that voice is beginning to enable a more expressive, contextual, and linguistically inclusive form of travel discovery, one that is different from how users search via text.

How Voice and Text Queries Are Beginning to Diverge

Even in early usage patterns, the contrast between how users type and speak their travel intent is visible. Majority of text searches are in the neighbourhood of 3-4 words, compressed and keyword-driven, such as “Goa hotels cheap” or “Delhi Mumbai flight.” Voice queries are beginning to look considerably different. Nearly 23% of voice queries exceed 11 words, compared to just 7% in text, as users tend to naturally articulate destination proximity, amenities, budget, group size, and dates within a single spoken interaction. For instance, “Show me affordable hotels in North Goa near the beach with a pool” or “2 adults and one kid, 3 nights from 14th January, budget under ₹15,000 per night.”

Across several query categories, early data points to voice being used noticeably higher than text. Date-specific queries show the most pronounced difference, at 3.3x higher on voice, with users naturally saying “26th December to 29th” or “next Friday to Sunday” rather than typing compressed date formats.

Informational queries, where users are looking for guidance or explanation around certain processes or services, are indexing 2.7x higher on voice, suggesting that users are beginning to turn to conversational assistance for questions beyond transactional search. Location-specific queries account for 25.1% of all voice searches and index 1.5x higher on voice than text, with users naturally expressing proximity in phrases such as “near beach,” “walking distance from Golden Temple etc. Similar patterns are visible across languages like Hindi, Kannada, Bengali and Tamil.

Voice Is Opening Up Travel Search Across India

One of the more telling early signals in the data is how voice is beginning to enable users to search in the language they naturally think and speak. While English dominates text searches, voice interactions are considerably more linguistically diverse with English representing far lower percentages of voice queries. The gap points to something simple, users who are most comfortable in their own language are gravitating towards voice.

For users who found typing a barrier, the shift is less about technology and more about expression. Voice lets them describe exactly what they want, in their own words, without compression. Code-mixed users, who blend Hindi and English, are among the most expressive in early observations, averaging 10.5 words per query. A search like “Manali mein 3 nights ke liye hotel chahiye with mountain view and breakfast” captures nuance and preference in a single breath, something that text search has rarely accommodated.

“What we are beginning to see through Myra is encouraging. Voice is starting to give a new set of users, those who are most comfortable in their own language, a more natural way to search and plan travel. For someone in Kochi or Coimbatore who thinks in Malayalam or Tamil, being able to simply speak their requirements, rather than type them in English, changes the experience meaningfully. It is still early, but these initial signals point to voice having the potential to make travel planning more inclusive and accessible across India,” said Rajesh Magow, Co-founder and Group CEO, MakeMyTrip.

Premium Travellers and Multi-Constraint Queries

Early data also points to premium and elite traveller segments using much longer sentences while using voice on Myra, often combining star category, amenities, group size, and budget into a single spoken request. For example, “5-star villa in North Goa with private pool, 6 bedrooms, for 8 adults under ₹50K per night.” While these highly layered, multi-constraint queries represent a smaller share of total searches, they offer an early indication of how voice may be better suited to capturing complex travel intent than keyword-based text search.