A customer submits an image
The file enters your claims, warranty, dispute, mobile, email, or document workflow with no additional customer step.
Image & visual evidence forensics
Image Tampering and Manipulation Detection
Verify submitted photos without creating unnecessary review work
essential-fd checks submitted images for technically verifiable signs of manipulation and inconsistency. It analyzes metadata, encoding, compression traces, file structure, dimensions, software and source characteristics—then returns OK or FLAG with an explanation.
Image fraud detection without false alarms.
Beyond pixels
Look beyond what is visible in the photo
Damage can be added, an old photo reused, a screenshot presented as an original, or context cropped away. Traditional review focuses on what can be seen. essential-fd also examines how the image was created, processed, encoded, saved, and submitted.
- Processed using editing software
- Parts may have been inserted or altered
- Resaved or recompressed after creation
- Captured as a screenshot, not by a camera
- Metadata conflicts with date, source, or device
- The same image was submitted more than once
- The photo was downloaded from another source
- Dimensions or encoding conflict with its source
- Embedded thumbnails conflict with the image
- Related photos have inconsistent properties
- Converted through an unexpected workflow
- Location, device, or time data was changed
How it works
Image manipulation detection in four steps
Forensic checks run
Analyze source, creation process, editing history, metadata, compression, encoding, and relationships with other files.
You receive OK or FLAG
OK means no defined signal. FLAG identifies a concrete finding and explains why it matters.
Your workflow continues
Continue automatically, route to review, or compare the result with claim and transaction information.
Forensic coverage
What essential-fd checks
Image metadata
EXIF, XMP, IPTC, device, capture time, orientation, dimensions, and application-specific data.
Metadata fraud detection →Editing and software traces
Information left by editing, messaging, scanning, screenshot, and export applications, assessed in workflow context.
Compression and encoding
Characteristics that can differ when an image is edited and saved again rather than produced directly by a camera.
Dimensions and file properties
Aspect ratio, color profile, orientation, and encoding patterns that indicate cropping, conversion, or processing.
Embedded previews
Thumbnail content that does not match the final visible image can expose alteration after capture.
Duplicate and reused images
Exact duplicates and technically related versions across claims, transactions, warranty requests, or disputes.
Cross-image consistency
Compare claimed capture times, devices, dimensions, software traces, and origins across a case.
Explainable by design
Built for explainable image checks
General manipulation probabilities create uncertain cases without telling reviewers what was detected. essential-fd focuses on verifiable findings traced back to the file.
A reviewer gets a specific reason to investigate, not a black-box score.
Editing software found
The file contains relevant application metadata.
Screenshot identified
The source is inconsistent with an original camera photo.
Prior submission matched
The same or a related image appeared in an earlier case.
Capture data conflicts
Dates, devices, dimensions, or previews do not align.
Applications
Image manipulation detection use cases
Insurance claims
Check damage photos, accident evidence, photographed invoices, and other visual claim files.
Claims image forensics →Warranty and protection
Analyze evidence of damaged, defective, or lost products before repair or reimbursement.
Marketplace disputes
Check buyer and seller images in delivery, condition, damage, and return disputes.
Evidence verification →Returns and refunds
Identify reused photos, downloaded images, conflicting timestamps, and unexpected editing.
Vehicle and property damage
Screen photos of vehicles, buildings, equipment, and personal property before review.
Application evidence
Add a forensic layer to supporting photographs used in onboarding and applications.
Context matters
Not every edited image is fraudulent
Images are routinely compressed, resized, rotated, messaged, uploaded, and processed by customer platforms. These actions can change technical properties without changing visible evidence.
Checks are configured around the expected submission process. Compression by your own application is not treated like unexplained external editing.
OK
Expected processing
No defined forensic manipulation signal was identified.
FLAG
Concrete inconsistency
A specific, relevant technical finding should be reviewed.
Connected evidence
One forensic layer across photos and documents
Review claims, disputes, and applications as collections of connected evidence. Combine image and metadata analysis, duplicate detection, PDF forensics, document manipulation checks, QR and barcode analysis, date and value checks, and cross-file comparisons.
Explore document forensics →Integrate without changing the customer journey
API
SFTP
OneDrive / SharePoint
Web application
Usable output
Clear results for reviewers and systems
Return structured JSON, an interface result, or a human-readable report for routing, investigation, reporting, and audit.
- Overall status: OK or FLAG
- Identified forensic finding
- Relevant metadata fields
- Software or source information
- Duplicate image references
- Why the finding matters
- Recommended review action
- Relationships with other files
Start with a pilot
Find suspicious image evidence before it drives a decision
See how essential-fd can analyze submitted photos and return a clear, explainable forensic result.
FAQ
Frequently asked questions
What is image tampering detection?
It analyzes an image for signs of editing, alteration, reuse, conversion, or an unexpected source using visible characteristics and file-level evidence.
Can essential-fd prove that an image is genuine?
No forensic tool can prove every part is genuine. OK means configured checks identified no relevant technical finding.
Can essential-fd detect Photoshop?
Editing can leave software metadata, encoding changes, recompression, or other traces. The absence of a software name does not prove an image was not edited.
Does removing metadata create a flag?
Not automatically. Legitimate applications often remove metadata, so its absence is considered in workflow context.
Can essential-fd detect reused images?
Yes—exact duplicates and, depending on configuration, related versions that were resized, recompressed, or changed.
Which image formats can be checked?
Common formats including JPEG, PNG, TIFF, HEIC, and WebP. Available checks depend on the format.
How is essential-fd integrated?
Through API, SFTP, OneDrive, SharePoint, or a dedicated web application.