Scanner API integration: design the workflow before the endpoint
A practical architecture for scan jobs, evidence, retries, and policy decisions—without turning uncertainty into a green check.
API + AI Code + files Images + data
The scanner integration field guideScan smarter.See the signal.
Explore scanner APIs for AI, code, files, and images. Know what each tool checks, what its results mean, and how to build around them.
10 scanner topics10 deep-dive guidesPrimary sources
EVIDENCE > GUESSWORK
Scanner field guide
Follow the signal.
The inspection pipeline
InputInspectEvidenceDecision
{
"coverage": "partial",
"decision": "review",
"next": "inspect the evidence"
}
"coverage": "partial",
"decision": "review",
"next": "inspect the evidence"
}
Illustrative result · not a live scan
01 / Find your scanning layerDifferent scans.
Different scans.
Different questions.
From API permissions to photo metadata, start with the object you need to inspect—and the decision you need to make.
01
Scanner API
Scan orchestration · Result design · Review workflows
02AI Scanner
Evaluation · Confidence · Human review
03API Scanner
Endpoint inventory · Authorization · Safe testing
04AI LLM Scanner API
Prompt injection · Retrieval · Tool boundaries
05Git Repo Scanner
Secrets · Code findings · Dependency context
06Antivirus Scanner API
Engine integration · Updates · Quarantine
07Malware Scanner API
Analysis jobs · Engine evidence · Triage
08File Scanner API
Upload validation · Type inspection · Storage policy
09Reverse Image Scanner
Image matching · Source context · Similarity
10EXIF Data Scanner
Metadata · Privacy · Provenance limits
02 / From inspection to actionBuild a pipeline.
Build a pipeline.
Not a blind spot.
01
Define the input
Bind every check to a file version, commit, prompt, or image. Know exactly what is being inspected.
02
Choose the right checks
Keep malware inspection, AI evaluation, permission testing, and metadata review in their own lanes.
03
Preserve the evidence
Record findings, skipped content, and processing errors. A missing result is not a clean result.
04
Make a deliberate decision
Release, hold, or review according to an explicit policy—not an unexplained green check.
{
"subject": "example-upload-v1",
"processing": "completed",
"checks": [
{
"type": "file_inspection",
"coverage": "partial"
}
],
"decision": {
"action": "review",
"reason": "Not all content was inspected"
}
}Example data for integration design. No request is sent.
Code & file security
Ship a better upload gate.
Connect validation, engine health, quarantine, and controlled release.
Follow this reading pathAI & LLM security
Keep AI actions in bounds.
Evaluate content signals without handing permission decisions to the model.
Follow this reading pathImage intelligence
Look beyond the pixels.
Compare image matches, read metadata, and preserve the context.
Follow this reading path03 / The Scan LogGo deeper.
All field notes Go deeper.
Build with context.
Malware scanner API results: separate evidence from verdicts
Read analysis status, per-engine outcomes, and coverage gaps before turning a malware scanner report into an application decision.
Reverse image scanners: matching images are not always the same story
Separate exact matches, transformed copies, and visual similarity before drawing conclusions about an image’s origin.
Explore the original documentation in our source library
04 / A little clarity goes a long wayStart with the
Start with the
right question.
Not every scanner checks the same thing. Here is where to begin.
What is the difference between a scanner API and an API scanner?
A scanner API exposes an inspection workflow through an interface. An API scanner evaluates the security or behavior of an application’s endpoints. Start with the guide that matches the object you are inspecting.
Which guide should I read for file uploads?
Start with the file scanner API pipeline. Continue with antivirus integration for engine operations and malware analysis for interpreting richer evidence.
Where do AI and LLM scanning fit?
AI scanning supports a defined classification or review task. LLM workflows also need checks around retrieved content, proposed tools, and outgoing data, with permissions enforced by the application.
Can I upload files or run scans here?
ScannerAPI.com is a guide and reference library. It does not accept uploads, execute scans, or issue API keys. The developer playbook explains integration patterns for systems you build or evaluate.
Do reverse image and EXIF scans do the same thing?
No. Reverse image scanning looks for visual relationships in a collection or index. EXIF scanning reads supported metadata in an image file. Their findings answer different questions.
Where can I check the technical references?
Each field note includes a primary reference. The source library brings the documentation together, and the editorial policy explains how we distinguish source facts from suggested workflows.
Less guesswork. More understanding.Know what
Know what
you’re scanning.
Find the right guide for your input, your workflow, and the decision that comes next.