How to search flights in plain English with AI — and why it actually changes the way you book
By Aarav Sharma (Aarav Sharma covers Indian airline operations, airport infrastructure and route economics. He writes about Tier-1 and Tier-2 airport developments, IndiGo and Air India fleet strategy, and the unsung Indian aviation hubs travellers should know about.) · Published · 9 min read
Searching flights in plain English with AI means you skip the form fields, airport codes and rigid date pickers — you describe what you want the way you'd tell a friend, and the AI figures out the rest. At FlightGPT, that's the whole point. Here is what works and how to make the most of it.
TL;DR — why plain-English flight search is actually useful
Searching flights in plain English with AI means you type something like "cheapest flight from Pune to Goa this weekend" and get a direct answer — no airport codes, no form fields, no dropdown menus. FlightGPT is built for exactly this. The AI parses your natural query, identifies the route and intent, and returns live fares. For travellers who are not aviation-fluent or who want to explore options rather than search for a single fixed result, plain-English search is meaningfully faster and less frustrating than traditional flight search UIs.
What makes traditional flight search forms frustrating
Every traditional flight booking site — MakeMyTrip, Goibibo, even Google Flights — puts you in the same box: origin airport, destination airport, date, passengers, class. That works fine if you know exactly what you want. But most real flight searches involve some ambiguity:
- "I want to go to Europe in spring but I'm not fixed on a country"
- "Cheapest beach destination I can reach from Chennai in 3 hours"
- "Can I fly from Bengaluru to Zürich with under 5 hours of stopover?"
- "Show me all Air India direct flights from Delhi to the US in November"
None of these map cleanly onto the standard form. You end up doing 6–8 manual searches to approximate the answer. Plain-English AI search collapses that into a single query.
Even for fixed-destination, fixed-date searches, the form UI has a small but annoying friction: you need to know the airport code or spell the city correctly enough for the autocomplete to work. "Bombay" vs "Mumbai", "Madras" vs "Chennai" — these trip people up. An AI query handles the ambiguity automatically.
What queries work well on FlightGPT
Based on how the tool is designed, here are the query patterns that work well at flightgpt.in:
- Route + flexible dates: "Cheapest flights from Delhi to Singapore in October, flexible by 4 days." This returns a date grid so you can see the cheapest departure.
- Price cap queries: "Direct flights from Mumbai to Dubai under ₹12,000 round-trip." Useful for budget-first searches.
- Airline-specific comparisons: "IndiGo versus Air India on Delhi to London — who's cheaper in December?"
- Destination exploration: "What's the cheapest international destination from Hyderabad I can reach for under ₹15,000 return?"
- Layover preferences: "Bengaluru to New York via Dubai, comparing Emirates and Air India."
Queries that work less well: extremely vague requests ("find me a cheap flight" with no origin or budget), multi-city complex itineraries across 4+ legs, or queries that require real-time seat maps or ancillary add-ons. For those, the airline's own booking engine handles the detail better.
The Indian context that plain-English search handles well
One underappreciated advantage for Indian travellers is how AI handles the naming complexity of Indian aviation:
- Multiple airports per city: Mumbai has CSIA (BOM, international) and Juhu (which doesn't take commercial flights — but travellers get confused). Delhi has IGI T1, T2 and T3 on different IndiGo and Air India operations. An AI query that says "Delhi to Bengaluru" figures out you mean the main airport without asking you to choose a terminal.
- Multiple airline brands in the same group: Air India and Air India Express are different products — Air India Express is narrowbody LCC, Air India is full service. A plain-English query about "Air India to Kochi" gets you both options, and a follow-up like "which is cheaper" is handled naturally.
- Festival and season context: You can say "I want to travel just after Diwali" and the AI knows to look at late October dates rather than asking you to specify the exact date. This is small but genuinely useful for travellers who think in festival calendars rather than Gregorian dates.
- Regional language city names: Querying "Thiruvananthapuram to Dubai" or "Vishakhapatnam to Hyderabad" works without knowing the IATA codes (TRV, VTZ).
How to structure a good plain-English flight query
You don't need to be precise — that's the point — but the more context you give, the better the result. A useful structure:
- Where from and where to (city names are fine)
- When, with flexibility if you have it ("second week of March", "±3 days around November 10")
- Any constraints (budget ceiling, number of stops preferred, specific airline, baggage needs)
- What you want to see (cheapest date, airline comparison, direct-only options)
Good example: "Show me the cheapest return flights from Ahmedabad to Bangkok in February, I can shift dates by 5 days either way, prefer direct or single stop, budget around ₹20,000 round-trip."
That query gives the AI everything it needs to return a useful answer in one go. You'll see a fare range across the date window, which airlines serve the route and roughly where the price sits relative to your budget. From there, you book on the airline's site.
Limitations to be aware of
Plain-English flight search is not without limits, and being honest about them saves frustration:
- Real-time seat availability: AI search returns prices from live data, but the specific fare shown may change by the time you click through to book. This is not unique to AI — all flight search tools have this lag. Book quickly once you decide.
- Complex multi-city itineraries: If you want to fly Delhi–Paris–Barcelona–Rome–Mumbai as a single itinerary with through-baggage, an AI tool is not the right starting point. Use Google Flights' multi-city builder or a travel agent for this.
- Ancillary costs not always included: Baggage, seat selection and meal adds are usually not in the AI-returned base fare. Always check the full price on the airline site.
- Visa requirements: The AI tells you about flights, not visa eligibility. For a query like "cheapest destination I can visit without a visa from India", pair FlightGPT with FlightGPT's own visa information panel for accurate guidance.
Fares and fees change — check the live price before you book.
Practical tips to get the most out of plain-English flight search
A few things I've found work well when using AI flight search conversationally:
- Start broad, then narrow: Begin with a destination exploration query, then follow up with a specific route once you've decided. The conversational format means you can refine in steps rather than starting from scratch each time.
- Use the flexible-date result to anchor your thinking: When the AI returns a date grid, your cheapest option jumps out. Use that as your anchor — if you can't move to that date, at least you know what the cheapest window looks like and can make a conscious trade-off.
- Ask for comparisons explicitly: "Compare Air India and Emirates on Mumbai to Paris in April" returns a useful side-by-side. Don't just accept the first result — asking for comparisons costs nothing and often surfaces an airline you hadn't considered.
- Set up price alerts separately: Once you know the route and rough date, set a Google Flights alert as a parallel track. If the price drops below your target, you'll get an email. AI search and price alerts together are stronger than either alone.
If you haven't tried FlightGPT yet, the fastest way to see how it works is to type your next travel plan as a sentence and see what comes back. No form to fill, no drop-downs to navigate. Just describe what you want and go from there.
Bottom line
Plain-English AI flight search removes the friction of traditional form-based booking tools — especially useful when you have date flexibility, are exploring destinations or don't know airport codes and airline specifics. FlightGPT is free and built for Indian routes specifically. Use it to explore and identify the right airline, route and date window; then book directly on the airline's site or a licensed OTA. The search is conversational; the booking still takes one minute on the airline's own page. Between the two steps, you've done the hard part.
Frequently asked questions
Can I search flights without knowing airport codes?
Yes. AI flight search tools like FlightGPT accept city names, informal descriptions and even festival-based timing ("after Diwali"). You don't need to know IATA codes or airport terminal details.
What is the best AI tool to search flights in plain English in India?
FlightGPT (flightgpt.in) is built specifically for Indian travellers and handles plain-English queries including flexible dates, price caps and airline comparisons. It's free to use.
Does plain-English flight search work for international routes from India?
Yes. FlightGPT handles international route queries from Indian cities, including comparisons across airlines like IndiGo, Air India, Emirates and Qatar Airways. Flexible-date queries work well for international routes where date shifting can save ₹5,000–20,000.
Can AI flight search handle Hinglish or regional language city names?
FlightGPT handles common Indian city names in different spellings (Bombay/Mumbai, Madras/Chennai, Thiruvananthapuram, Vishakhapatnam) without needing airport codes. Full Hinglish or regional language queries have mixed results depending on the tool.
Does FlightGPT book flights directly?
No. FlightGPT is a search and discovery tool. Once you find the fare you want, you book on the airline's own site or a licensed OTA like MakeMyTrip or Ixigo. This is intentional — direct booking makes post-booking changes easier.