v1.3.0 · Features
2 min read
New configuring step before replay playback — browse the map freely before starting
Problem
New configuring step before replay playback — browse the map freely before starting
Pain point
Features
Solution
Replay Configuring Phase
• New configuring step before replay playback — browse the map freely before starting
• Per-segment transport mode selection (walking, cycling, driving, bus, train, flight, boat)
Example
• Transport mode badge displayed on the moving avatar during playback
Avatar System
• Choose between profile photo, preset character avatars, or default dot for the replay marker
• New avatar settings page with preset selection (cat, dog, bird, rabbit, bear, fox, penguin, panda)
• Avatar and transport mode badge rendered on video recording canvas
Video Recording Enhancements
• Avatar and transport mode icons now appear in exported video recordings
• Shared style constants ensure visual consistency between DOM and Canvas rendering
Bug Fixes
• Fixed premature camera zoom when selecting transport mode during replay configuration
• Fixed avatar occasionally disappearing during playback by removing scale-from-zero mount animation
• Removed forced zoom level on playback start to preserve user's current map view
Refactor
• Extracted shared constants to dedicated data modules (`waypointStyle`, `iconPaths`, `presetAvatars`, `transportModes`)
• Added `haversine` distance utility for segment distance calculation
• Added `replay.ts` type definitions for segment metadata and transport modes
Decision Criteria at Bottom Funnel
Bottom-funnel readers are evaluating confidence, switching cost, and output predictability. Generic feature lists are rarely enough.
Content should prioritize decision dimensions: onboarding time, migration friction, and quality consistency.
For "locusify update", define clear evaluation criteria so readers can choose quickly based on their workflow reality.
Comparison Method That Builds Trust
Use one real dataset across tools and compare three metrics: completion time, correction workload, and final publish quality.
A practical baseline flow remains: Replay Configuring Phase • New configuring step before replay playback — browse the map freely before starting • Per-segment transport mode selection (walking, cycling, driving, bus, train, flight, boat). Keep claims tied to observable process outcomes.
Write conclusions as fit-by-scenario, not absolute winner claims. This increases credibility and conversion quality.
Bottom-Funnel Conversion Actions
End with explicit actions: test run, import real assets, export first version. Concrete actions move decisions forward.
Include risk notes and fallback paths. Balanced framing often converts better than aggressive claims.
Interlink to tutorial and case-study pages to complete the comparison -> trial -> validation loop.
Target keywords
If the update solves your workflow pain point, test it with your next trip album.
Try Locusify with your travel photosFrequently asked questions
What is the fastest way to start with locusify update?
Use one recent trip folder and run the full flow once: import, timeline check, outlier cleanup, and short replay export.
What if some photos do not contain GPS metadata?
Build the core route from geotagged photos first, then place non-geotagged images as chapter visuals instead of route points.
How do I make outputs more shareable on social channels?
Keep runtime concise, start with route overview, highlight key stops, and export directly in the target aspect ratio.
Where does Locusify fit in this workflow?
If the update solves your workflow pain point, test it with your next trip album.
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