Itineraro.

The problem

Short-form video has become the primary way people find travel inspiration — 75% of travelers use social media to research trips — but the gap between dozens of saved videos and an actual plan is a real pain point. The research and organization phase is where travelers hit the most overwhelm, and by the time they reach booking, planning fatigue has set in.

Existing tools fall short. General planners like MindTrip and Wanderlog lean on chat or map-based planning, and video-to-location extractors like TripStash produce lists that require heavy manual entry. None deliver the "turn these travel videos into a bookable itinerary in one go" experience.

The solution

Itineraro turns saved travel videos into a ready-to-go itinerary. A user drops one or more video links, and the system extracts, validates, and sequences the places featured in the content — matching the video's own format, whether a multi-city trip or an hourly neighborhood walk.

Extracted locations are enriched with real-world details — hours, address, coordinates, booking links, visit duration — and shown to the user to review and select before the itinerary is built. This human-in-the-loop gate produces a more grounded plan than a generic travel chatbot, with map pins, day-by-day routing, and callouts such as a missing lunch spot or a long-wait warning.

How it works

Itineraro runs a multi-stage pipeline built on Claude Sonnet 4.6 via the Anthropic SDK. A deterministic media processor (ffmpeg + Whisper + PaddleOCR) transcribes audio and reads on-screen text, then three specialized agents take over: a Location Extractor that reads transcript, keyframes, OCR, captions, hashtags, and top comments across channels; a Location Aggregator that dedupes and enriches via web search and geocoding; and an Itinerary Builder. Geo-clustering (DBSCAN) and an hours cross-check are handled deterministically.

Data lives in Postgres via Supabase with a Redis cache keyed by Google place_id and video URL, so the same place or video isn't reprocessed across users. The review gate runs before enrichment to cut the costly search calls and improve latency, with degraded mode falling back to scraped metadata when extraction channels fail.

Who it's for

Itineraro is primarily B2C, for anyone who starts trip planning from short-form videos — with emphasis on Gen Z travelers who rely on real-time, peer-generated recommendations and travel influencers who plan around aesthetics and vibes. Professional travel agents looking to automate their workflow are a secondary persona.

A B2B side serves hotels, OTAs, and airlines who promote services through commission-based in-app booking links. Revenue comes from tiered subscriptions plus affiliate and booking commissions.

Why it matters

The shift is structural: 40% of bookings are projected to pass through AI-enabled environments in 2026, and the traditional multi-step search is compressing into a single booking flow. The travel planner market is projected to grow at 11.9% CAGR through 2032, with the broader digital travel market near 15%.

Competitors position themselves as general travel planners; Itineraro aims to be a truly media-native one. The product is a startup at prototype stage, launching through a pilot, then a soft launch to an interested first cohort, then a wider commercial launch once evaluation thresholds — Agent 1 already hitting a 90% extraction pass rate — are met.

At a glance

Project

Itineraro

Built by

Yasmine Bakrim

One-liner

Itineraro turns travel video inspiration into a ready-to-go itinerary by extracting, validating, and sequencing places mentioned in social content.