ML & AI image analysis
Classify subjects and scenes, generate descriptions, and find images matching a text query or reference photo. Evaluate the results against your research brief.
Example: A visual brief → relevant images ranked for review.
PixelPeeper / For business
Automate
visual research.
Visual intelligence at scale. Find relevant photos, analyze their content, and extract the data behind them—with ML and AI that turn hours of manual research into a repeatable workflow.
Your question. Your sources. A workflow built around the answers you need.
From websites and images to findings you can use.Photography × data × machine learning × AI
Inside PixelPeeper / Actual image analysis
One image.
Multiple layers of intelligence.
See what our image analysis and metadata tools reveal about the same photograph.
1Objects & descriptions
AI-inferred
Subjects, suggested object regions, and generated descriptions.
2Color analysis
Calculated from pixels
Dominant colors extracted from the image.
3Camera & capture data
Embedded metadata
Camera, lens, exposure, and timestamps when present in the file.
4Lightroom edits
Embedded metadata
Saved tone curves and color adjustments when Lightroom metadata is present.
01 / From images to answers
Less manual inspection.
More useful answers.
Bring a research question and the websites or images you want to investigate. Combine collection, visual analysis, and metadata extraction in one repeatable process.
Metadata extraction
Extract available camera, lens, exposure, and editing metadata into consistent fields. Keep embedded facts separate from model estimates.
Example: A research sample → camera, lens, and exposure data where available.
Automated website scanning
Collect photos from an agreed set of websites instead of opening and saving them one by one. Retain source links so findings can be traced back to the original pages.
Example: A list of websites → collected images and source URLs.
Custom APIs & exports
Design the output around your existing tools: structured exports for a one-off project, or a custom API for an ongoing workflow.
Example: New images → structured JSON for your research tools or application.
Research in practice
What would you ask
thousands of images?
- E-commerce
- Creative agencies
- Publishers
- Photography businesses
- Product & research teams
Build a searchable, organized index of my digital assets.
InputYour image library and any existing folders, tags, or categories.
OutputAn index of all your images, labeled and classified by their visual content. Search in natural language for what’s in them, and find duplicates and visually similar versions.
Tag my product images and write descriptions for my online store.
InputYour product image library or store URLs, plus your catalog categories and preferred terminology.
OutputSuggested product categories, visual attributes such as color and material, and image descriptions for your team to review and use in your catalog.
Find outdoor portraits across these websites.
InputA list of photography websites and a brief describing the portraits you want.
OutputA shortlist of matching photos, with source URLs, generated descriptions, and camera settings where available.
Which products have no photos showing a model?
InputProduct-page URLs from your store, with all images grouped by listing.
OutputProducts with no detected model in their photos, linked to their listings and image sets for your team to review.
Which of these interiors were photographed with a wide-angle lens?
InputA set of interior photographs with any embedded camera metadata.
OutputA table of available focal lengths and camera models, filtered to your agreed definition of wide-angle. Photos with missing metadata are marked separately.
Check my images for potential copyright issues.
InputYour image library or website URLs, plus any available license and source records.
OutputImages flagged for review based on embedded copyright notices, visible watermarks, or missing license records, with the supporting details linked to each file.
Detect AI-generated images.
InputYour image library, uploaded submissions, or website URLs to scan.
OutputImages flagged as potentially AI-generated, with detection scores and source links for review. Scores are estimates, not proof of how an image was created.
Receive results as CSV or JSON, or scope a custom API integration.
02 / Research you can automate
Find the relevant images
A brief.
A focused shortlist.
Search across a defined set of websites or images for the subjects and visual characteristics that matter to your project.
- Collect photos from the sources you specify.
- Search by description or reference image.
- Review matches with links to their sources.
Analyze a research sample
Thousands of photos.
Consistent analysis.
Replace repetitive image inspection with a batch workflow designed around your research question.
- Classify photographic subjects and visual characteristics.
- Extract available camera, lens, and editing metadata.
- Receive structured results for comparison and analysis.
Repeat the research
New images.
The same workflow.
Once a pilot delivers useful results, scope an integration or recurring research around new inputs.
- Agree which sources to revisit and how often.
- Apply the analysis to newly collected images.
- Deliver relevant findings through exports or a custom API.
03 / From a question to a workflow
A useful result.
Then a repeatable process.
Start with the question you want to answer. We use a representative sample to test the analysis, review the findings with you, and agree a repeatable process before scaling up.
- Your question, your sources
- Define what you want to find or measure, which websites or images to analyze, and the fields you need back.
- Extracted facts and inferred labels
- Camera bodies, lenses, and shooting settings come from available file metadata. Model-generated labels and detections are estimates to evaluate against your examples.
- Traceable website research
- Keep source links, observation dates, and coverage context alongside collected data. Observed use is not proof of current ownership or market share.
- A workflow you can evaluate
- Review sample outputs and agree quality criteria, volume, and update frequency before committing to ongoing processing.
Custom projects & integrations
What are you trying
to find or learn?
Share the research you’re doing by hand, the websites or images involved, and the result you need. We’ll scope a pilot around that task, with clear outputs and a price agreed upfront.
Discuss your project ↗Or email help@pixelpeeper.com
Custom pricing
Based on source coverage, image volume, analysis requirements, and delivery needs.
- Define the jobShare your use case, sample inputs, and desired output.
- Evaluate a pilotReview a small batch against agreed quality criteria.
- Build the workflowScope batch delivery, a custom API, or recurring updates.
Pricing and deliverables agreed before work begins.