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Lumethic – Verify photo authenticity by comparing RAW to JPEG

Hacker News

Lumethic – Verify photo authenticity by comparing RAW to JPEG

Image generators are now good enough that many photos online could be synthetic, making it harder to know which ones to trust. Lumethic verifies a photo by comparing the final JPEG to the camera’s RAW file. The RAW contains sensor-level noise and other physical characteristics that are difficult to fake, making it a strong source of truth. The service runs several checks between RAW and JPEG: structural comparison, histogram analysis, perceptual hashing, metadata consistency, and face-region consistency when faces appear. If everything aligns within normal editing ranges, it generates a verification report and embeds a C2PA signature so other tools can validate it. Basic edits like exposure, cropping, rotation, and color work are expected to pass. Scene changes usually fail. The web UI requires no account and includes three free verifications. Upload a RAW and its JPEG and wait for the report. Try here: https://www.lumethic.com/en/verify Example report: https://www.lumethic.com/en/shared/db4cf01b-4cdf-4a31-a897-5... RAW files are deleted after processing. The system uses C2PA, runs in the EU, includes a REST API for automation, and has a Lightroom Classic plugin. Happy to answer questions about the verification process.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
84%84% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: physical · Missing: mac, agents, macos
23%23% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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