GeoImageTagger
Summary
Uploading a batch of job-site photos to Google Business Profile without GPS metadata means those images do nothing for local search — and manually tagging coordinates in Lightroom, image by image, is the kind of work that quietly kills an afternoon. GeoImageTagger was built to close that gap.
The tool runs a five-step upload-process-download workflow: images go in, Google Gemini vision AI attempts location detection, SEO tags and descriptions are generated, every field stays editable before you commit, and the output comes back as EXIF-embedded files with a CSV summary. For a local SEO team geotagging storefront photos or a field inspector needing GPS-stamped compliance shots, that loop is fast and requires no desktop software. The ceiling appears quickly — the free account processes two images per batch, and there is no API and no self-hosted option, so any automated pipeline hitting this tool at scale has nowhere to go. Teams running high-volume asset libraries eventually find themselves batching manually or evaluating tools with bulk API access.
Bottom line: Pick this for geotagging a client's Google Business Profile photo set or documenting a job site with GPS-stamped images; plan a different architecture when your pipeline needs to process hundreds of images automatically without a human uploading each batch.
Pricing Plans
Subscription- Price
- $10/month
- Free Tier
- 5 images per day
Free
5 images per day with all core features
- AI tagging and location detection
- EXIF writing
- ZIP and CSV exports
Pro
1,000 images per month, up to 10 images per upload
- Higher quota
- All Free features included
View full pricing on geoimagetagger.com →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- AI location detection using Google Gemini vision reads landmarks, signs, and scenery from the image itself, so you can geotag photos that were shot without GPS hardware and would otherwise carry no location signal at all.
- Every generated field — coordinates, tags, descriptions — is editable before the EXIF write happens, which means a wrong AI guess does not silently corrupt your metadata library.
- Business-name-aware tagging generates Google Business Profile-optimized keywords tied to a specific entity and location, so the images you upload carry SEO signal instead of generic alt-text noise.
- HEIC support alongside JPG, PNG, TIFF, and WebP means iPhone and modern camera output goes in without a conversion step, removing a friction point that breaks field-team adoption of other metadata tools.
- ZIP plus CSV export pairs the embedded-EXIF images with a structured summary in one download, so compliance documentation and spreadsheet handoffs happen in the same step rather than requiring a separate metadata extraction tool.
Cons
Sign in to edit- The free account processes two images per batch, which means a 50-image job-site documentation set requires 25 manual upload sessions — a volume that makes the tool impractical for any recurring field workflow beyond occasional one-off submissions.
- There is no API and no self-hosted deployment path, so any automated pipeline — a CMS pushing new location photos, a franchise system syncing assets across locations — cannot connect to this tool programmatically; the upload step always requires a person at a browser, and teams needing automation migrate to a service that exposes an API endpoint.
- AI location detection depends on visible landmarks and signage in the image; interior shots, generic outdoor scenes, or construction-phase job sites with no identifying context return weak or incorrect location guesses, requiring manual coordinate entry and defeating the time-saving premise for that category of image.
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About
- Platforms
- Web
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-07-25T03:23:58.962Z
Best For
Who it's for
- Local SEO teams
- Field inspection and compliance documentation
- Agencies managing multi-location photo assets
What it does well
- Geotagging storefront and landmark photos for Google Business Profile
- Documenting job-site progress with GPS-tagged images and CSV reports
- Adding consistent location metadata to client photo libraries
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Frequently Asked Questions
- Is GeoImageTagger free?
- GeoImageTagger has a permanent free tier alongside paid upgrades (paid plans from $10/month). You can keep using a baseline version indefinitely without paying.
- Is GeoImageTagger open source?
- No — GeoImageTagger is a closed-source tool. Source code is not publicly available.
- What platforms does GeoImageTagger support?
- GeoImageTagger is available on: Web.
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GeoImageTagger is an online tool that embeds GPS coordinates, keyword tags, and natural-language descriptions directly into image EXIF metadata. The workflow is linear and deliberate: upload images (JPG, PNG, TIFF, WebP, or HEIC), let the AI detect a location from visible landmarks and signage using Google Gemini vision, review and edit every generated field on a per-image basis, then download the tagged files individually, as a ZIP with JSON metadata, or as a CSV export formatted for spreadsheets. Manual map pinning via Geoapify autocomplete is available when AI detection misses or you already know the coordinates.
The differentiating feature is business-context tagging. Enter a business name and the tool generates location-aware, brand-specific keyword tags tuned for Google Business Profile and local search — not generic descriptors, but tags that connect the image to a specific place and entity. Metadata generation is available in eight or more languages, covering English, French, German, Spanish, Portuguese, Italian, Dutch, Polish, and Indonesian, with additional languages described as forthcoming in the vendor’s documentation.
The tool fits a specific production scenario well: a local SEO agency or field inspection team that processes photos in discrete sessions, needs clean EXIF output without installing desktop software, and wants a CSV summary to drop into a compliance or reporting workflow. The walls are defined by the batch limit on the free account (two images per run) and the absence of any API or self-hosted deployment path. Teams that need to automate geotagging across hundreds of assets — say, a national retail chain pushing weekly photo updates across dozens of locations — will exhaust the manual upload loop before they exhaust their use case. That is the condition under which a team moves to a tool or service with a bulk API endpoint.