Behind the Scenes: My Exact Process for Creating 17,000+ Videos"
*Part of the “From Zero to 200 Million” Local Guides Blog Series
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Previous Post in Series
After publishing my previous post about motion photo techniques, I received numerous requests asking for the exact step-by-step process I use to manage such high-volume contributions.
I was surprised that some of these details weren’t common knowledge, so I want to share my complete workflow from camera setup to final upload.
With over 50,000 photos and 17,000 videos uploaded to Google Maps, this system has been refined through months of real-world testing. The key isn’t just capturing great content - it’s managing the entire process efficiently so you can maintain consistency without getting overwhelmed.
Essential Camera Setup: The Foundation That Makes Everything Possible
Before diving into the workflow, let’s establish the critical camera settings that make this entire system work. These aren’t optional - they’re absolutely essential for efficient contribution.
Camera Configuration
Location Tags: The Non-Negotiable Setting The most crucial setting is enabling location tags in your camera. This feature stamps every photo and video with precise geographical coordinates, eliminating the guesswork when uploading to Google Maps later.
How to enable:
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Open Camera Settings
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Navigate to “General” section
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Enable “Location tags” (this should show as a blue toggle)
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Ensure GPS/location services are active on your device
Without this setting, you’ll spend enormous amounts of time manually searching for locations during upload. I cannot overstate how important this is - it transforms the upload process from tedious to streamlined.
Motion Photo: Your Secret Weapon
Keep motion photos enabled at all times (if you don’t mind).
I explained in previous post more about it.
This allows every photo you take to automatically capture a 3-second video clip, giving you dual content from each shot without changing your photography habits.
The Album Management System
Organization is crucial when handling hundreds of photos per trip. My system creates clear separation by location and date, making the upload process manageable even weeks later.
During Each Location Visit: I create albums immediately after each area visit, typically named with the date and location (like “20250829 Plymouth” or “20250825 Southwest”). This serves two important purposes: it helps me remember specific areas for targeted uploads, and it prevents the overwhelming feeling of processing hundreds of mixed photos from multiple locations.
The Strategic Advantage: Album organization also supports a strategic uploading approach. Rather than uploading everything from one location immediately, I can spread contributions over several weeks. This provides better exposure through Google’s “Latest in Area” algorithm, which tends to favor recent uploads over bulk submissions from the same timeframe.
The Motion Photo Processing Workflow
Once I return from a photo walk, the real work begins. Here’s my exact process for extracting and managing video content from motion photos.
Step 1: Bulk Video Extraction
After organizing photos into location-based albums, I systematically extract videos from motion photos. This process is straightforward but time-intensive.
The Extraction Process:
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Open each motion photo in Samsung Gallery
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Tap “Export video” to create a separate video file
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Choose “Delete video from motion photo” to free up storage space
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Repeat for each motion photo in the album
This typically takes 10-15 minutes for a full day’s worth of photos (150-200 images), but it’s essential groundwork that pays dividends later.
Quality Control During Extraction: While extracting videos, I simultaneously perform rapid quality assessment. Videos that are obviously problematic - too short, badly focused, people blocking the subject, or unclear main subjects - get discarded immediately. This saves significant time during the editing phase.
Step 2: Video Selection and Editing
After extraction, I review all videos quickly to determine which ones warrant editing and upload. This process balances quality with efficiency.
Quick Triage Process:
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Immediate Upload: Clean, well-focused videos that effectively show storefronts or locations
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Edit First: Videos that would benefit from stabilization, cropping, or audio removal
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Discard: Videos with fundamental problems that editing cannot fix
Google Photos Enhancement: For videos selected for editing, I use Google Photos’ built-in tools:
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Stabilization: Almost always applied to smooth out natural hand movement
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Audio Management: Usually muted, especially for outdoor captures with traffic noise
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Cropping: Adjusted to focus on the main subject and improve composition
Step 3: Strategic Upload Timing
This aspect might seem counterintuitive, but timing uploads strategically rather than immediately can significantly improve visibility and engagement.
Video-First Strategy: I prioritize uploading videos before photos from the same locations. Videos currently receive better algorithmic treatment and higher engagement, making them more valuable for location visibility. Photos can be processed and uploaded days or weeks later.
Batch Processing Benefits: Rather than jumping between video editing and photo editing, I complete all video work for an album before moving to photos. This maintains focus and efficiency while ensuring consistent quality standards across similar tasks.
Exposure Optimization: Spreading uploads over multiple sessions rather than bulk uploading everything at once seems to improve visibility in Google’s “Latest in Area” features. I’ve observed better view counts when contributions appear over several weeks rather than all at once.
The Geographic Tagging Advantage
The location tags captured during photography create a seamless upload experience that many contributors don’t fully utilize.
Using Location Data for Upload
The Magic of “Show Location In” Feature: When reviewing photos in your gallery, you can access the embedded location data by:
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Opening the photo details/properties
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Tapping on the location information displayed
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Selecting “Show location in Maps”
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This automatically opens Google Maps centered on the exact capture location
Why This Matters: This process eliminates the need to manually search for businesses or landmarks during upload. Maps opens already focused on the right area, making location identification immediate rather than requiring potentially frustrating searches.
For Foreign Locations: When visiting places with unfamiliar languages or complex names, I use Google Lens or text extraction tools to capture business names from photos, then paste them directly into Maps search. This technique has saved countless time when contributing in locations where I couldn’t easily type or pronounce business names.
Photo Enhancement and Differentiation
Since videos often capture the final frame as a static image, uploading both video and photo requires some differentiation to avoid redundancy.
Creating Distinct Photo Content
Enhancement Techniques: Rather than uploading identical content, I enhance photos to create distinctly valuable contributions:
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Aspect Ratio Adjustment: Cropping photos to emphasize business signage or key features
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Color and Contrast Enhancement: Using Google Photos’ auto-correction and manual adjustments
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Improved Lighting: Adjusting highlights and shadows for better visibility
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Strategic Cropping: Focusing on specific elements that complement rather than duplicate the video content
The Result: This creates two related but distinct pieces of content for each location - a dynamic video showing approach and atmosphere, and an enhanced photo highlighting specific details or information. Both serve different user needs and typically both achieve featured placement.
Managing High-Volume Contribution Sustainably
Operating at this scale requires systems that prevent burnout while maintaining quality standards.
Realistic Time Management
Processing Time Expectations:
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Motion photo extraction: 10-15 minutes per 150-200 photos
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Video editing: 2-3 minutes per video (for videos worth editing)
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Photo enhancement: 1-2 minutes per photo (for photos worth enhancing)
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Upload process: 30-60 seconds per contribution
Batch Processing Efficiency: Grouping similar tasks maintains focus and reduces mental switching costs. Processing 20 videos consecutively is more efficient than alternating between videos and photos throughout the session.
Quality Threshold Management
Decision Frameworks: Not everything captured needs to be contributed. I maintain clear standards for what merits the time investment:
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Must contribute: New businesses, locations lacking video content, clearly valuable information
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Consider contributing: Improvements to existing content, seasonal updates, unique perspectives
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Skip contributing: Redundant content, poor quality that can’t be improved, locations already well-covered
Advanced Workflow Considerations
Storage Management
High-volume contribution creates significant device storage challenges. Motion photos essentially double the storage requirement temporarily, making storage management crucial for sustainable practice.
Storage Strategy:
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Delete videos from motion photos immediately after extraction
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Process and upload videos promptly rather than accumulating large backlogs
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Regularly clear processed content from device storage
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Consider cloud backup for content you want to preserve long-term
Competitive Landscape Awareness
Content Gap Analysis (Optional Strategy): Some contributors prefer to research existing video coverage before processing, prioritizing new businesses and underserved locations for editing time investment. While this can optimize resource allocation, it requires additional research time that isn’t always practical during high-volume processing.
My Practical Approach: I typically process content first and assess competition during upload, when I’m already viewing the location page. This maintains workflow efficiency while still allowing strategic decisions about which content gets enhanced editing versus quick upload.
Common Questions Addressed
“This seems time-intensive. Is it worth it?”
Yep, I am spending (like many other top guides) significant time on map contributions.
This system works for high-volume contribution, but the same principles apply to smaller-scale contributing.
The key is having efficient processes so your time investment creates maximum community impact.
“This is very much a Samsung Galaxy use case”
The core principles should apply to any smartphone with location tagging and decent video capabilities. The specific steps might vary, but the strategic approach remains valuable.
“Is this just gaming the system?”
No! While we all love to understand how things work behind the scene on maps, the goal is efficient creation of genuinely helpful content, not manipulation for artificial advantage.
Have questions about implementing this workflow?
Any ideas and tips to improve the process?
Let me know
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