For commerce
A customer sends damage photos? Verify their authenticity before the return leaves their hands.

IMAGE FORENSICS · SIX INDEPENDENT LAYERS
Find out whether a product photo was generated or locally altered with AI — before you approve a refund, reject a claim or question genuine evidence.
A customer sends damage photos? Verify their authenticity before the return leaves their hands.
A shop questions your photos? Send a clear, independently generated forensic report.
AlterTrace works wherever a photo can no longer be accepted as truth on sight.
The production stack combines file-level forensics with independent commercial detection models. No single black box gets the final word.
JPEG, PNG or WebP · up to 5 now + 2 follow-ups · max 20 MB each
TECHNOLOGIES USED IN EVERY TEST
The production stack combines file-level forensics with independent commercial detection models. No single black box gets the final word.
C2PA · EXIF · XMP · JPEG/PNG structure · generator signatures · SHA-256 · ELA · noise · entropy · microtexture · heatmaps · Case Coherence
AlterTrace's proprietary layer examines provenance, metadata, compression and pixel microstructure, compares every image in a case and creates ELA, noise and entropy heatmaps that expose suspicious regions.
Synthetic-image probability and likely generator family
Hive is a US AI platform providing API-based detection of generated content across images, video, text and audio.
AI generation, manipulation and deepfake signals
Sightengine is a European AI company building proprietary deep-learning systems for automated image and video analysis, moderation and verification.
AI generation, deepfake and generator-family classification
AI or Not provides specialist detection of AI images, deepfakes and likely generator families, including recompressed material.
Local manipulation analysis and provider heatmap
TruthScan is an enterprise-grade platform detecting AI-generated content across images, text, voice and video.
Multi-model deepfake and AI manipulation consensus
Reality Defender is a New York company founded in 2021 that builds multi-model deepfake detection for enterprises, institutions and governments.
CALIBRATED VERDICT
Probability of AI manipulation / deepfake
No. AlterTrace estimates the likelihood and identifies technical signals. It supports a decision; it does not establish intent or replace an expert witness.
That is a core use case. Local edits can leave inconsistent noise, compression, metadata or microtexture patterns, but subtle edits are harder than fully generated images and no detector can promise certainty.
Detectors fail differently. We combine provenance, file structure, pixel forensics and independent model scores to reduce reliance on any one vendor.
It is a calibrated risk indicator, not a percentage of pixels changed. The report separates minimal, elevated, high and very high likelihood and explains the strongest evidence.
Yes. Screenshots and messenger recompression remove metadata and weaken forensic traces. Always upload the original file when possible.
The complete case is automatically and permanently deleted after 7 days. During that window, up to two follow-up images can be added to the original five.
No. A clean result means the available signals did not establish likely AI involvement. It must never be presented as an absolute guarantee.
Yes. A 19 PLN case includes up to five initial images and two follow-ups within seven days. Case Coherence checks that every image shows the same product and claim before paid detection begins.
Hive, Sightengine, AI or Not, TruthScan and Reality Defender are independent providers. Their outputs are preserved separately in the report and are not presented as AlterTrace's own models.
Yes. It uses neutral language, lists methods and limitations, and includes the file hash so the analysed evidence can be identified later.