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We run every image through the same data-focused pipeline, collecting metadata, pixel-level heuristics, and reverse-search references.

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Results are compiled data points they are not a determination of anything it is up to the user to make their own judgements and consult with the appropriate experts.

Image analysis & reverse search

Data-first image analysis and reverse search built for people who act on their own findings

Upload an asset or paste a URL and Image Analyze runs a tuned pipeline every time: metadata, pixel-level observations, Azure Computer Vision + Content Risk risk assessment outputs, and a best-attempt Google Lens reverse search. We surface the raw indicators, signals, and likelihoods so you can act on the data you receive—no scoring, no assumptions, no determinations from us.

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Features & Data snapshot

Image Analysis

Metadata extraction, and reverse image search all in one streamlined report.

Google Lens Reverse Image Search

Best-attempt reverse image search with source domains.

PDF Report

Downloadable PDF reports for easy sharing and archiving of analysis results.

Metadata & pixels

Orientation, camera traits, EXIF, noise, compression, and other pixel signatures stay visible as raw values.

Model outputs

Azure Computer Vision + Content Risk risk assessment, indicators, and likelihood scores for categorization, moderation, and content safety.

Reverse references

Google Lens search hits with source domains, thumbnails, and dates so you can trace where the pixel set has surfaced.

A single workflow that delivers data you can export, attach, and act on—without boutique interpretations.

What the workflow delivers

A consistent data-first experience from upload to delivery

Every run is built around the same async pipeline so you get metadata, pixel-level observations, Azure Computer Vision + Content Risk risk assessment outputs, and a best-attempt Google Lens reverse search delivered as raw data points. We don’t score, evaluate, or interpret—just capture and surface the values so you can move forward.

1. Submit

Upload a JPEG, PNG, GIF, or WebP, or submit a supported URL. Every submission goes into the async queue so it can be metered and processed without blocking the UI.

2. Analyze

Metadata readers, pixel metrics, Azure Computer Vision + Content Risk outputs, and Google Lens reverse lookup are run in parallel so every indicator, signal, and likelihood is captured as discrete data—it’s all about transparency, not verdicts.

3. Deliver

The dashboard home results pane organizes every data point, provenance link, and output row, and eligible accounts can purchase or download the PDF report with the analysis data when needed.

What we analyze

Every report starts with the same data-gathering pipeline

Each job captures metadata, pixel signatures, model outputs, and provenance references as discrete data points. The tooling simply reports what it sees—no scoring, no guarantees—so you can explore the results with confidence.

Async + meteredData points onlyProvenance references

Metadata & pixels

Orientation, camera traits, EXIF, noise, compression, and color metrics remain accessible as raw numbers.

Model outputs

Content Risk classifications, indicators, and likelihoods arrive as transparent outputs so you can judge how they intersect.

Reverse references

Google Lens best-attempt lookups log domains, thumbnails, dates, and proxied URLs where the pixels appear.