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No single detector can prove that a photo or video is real or fake. The most reliable approach combines the original file, embedded metadata, signed Content Credentials, provider-specific watermark checks, reverse-search evidence, and independent reporting. Treat each result as evidence about the file’s provenance—where it came from and what tools recorded—not automatic proof that the depicted event happened as shown.
Start with the question you actually need to answer
“Was this image, video, or audio created or edited by an AI system?” and “Is this a real video?” are related but different questions. A file can be camera-captured and still be misleading because it was cropped, composited, retimed, or shown with a false caption. Conversely, an AI-assisted file can depict a genuine event or be accurately labeled as a reconstruction.
- Provenance: the file’s recorded origin, software or device history, and edits.
- Truth: whether the scene, people, place, date, and claim attached to the file are accurate.
Content Credentials, watermarks, metadata, and provider verifiers primarily address provenance. Reverse-image searching, local context, eyewitness material, and independent journalism help test the underlying claim. Keep those tasks separate in your notes and in any public explanation.
Preserve the best available copy before checking it
Work from the original file whenever possible. A screenshot, messaging-app preview, or repeatedly re-saved download may have removed metadata, stripped credentials, recompressed the image, or altered the video stream. Save the file without opening it in an editor, record where and when you obtained it, and keep an untouched copy before making a working copy.
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- Record the filename, extension, file size, download date, account or page that supplied it, and any accompanying caption.
- Keep the original and a separate copy for cropping, frame extraction, or format conversion.
- Do not infer authenticity from a filename, visible watermark, posting account, or apparent resolution.
- If you only have a screenshot or screen recording, state that limitation; some provenance checks cannot work on a rendered copy.
A repeatable seven-step workflow
1. Inspect embedded metadata as a clue
Use a metadata viewer that can read the file’s embedded fields. For photographs, look for camera make and model, capture date, lens, exposure settings, orientation, software, and location fields. Video files may contain creation dates, encoder information, time codes, and editing-software names.
Metadata can be incomplete, reset by a camera or app, or deliberately changed. A camera model does not prove that the pictured scene was untouched, and an editing-software tag does not by itself prove deception. Treat inconsistent dates, impossible camera settings, or a software tag that conflicts with the claimed workflow as prompts for further checking.
2. Check for Content Credentials
Open the file in a compatible Content Credentials inspector. When a valid credential is present, it can identify a signing organization, device or tool, and recorded edits. C2PA credentials are cryptographically signed and tamper-evident: a change made after signing can be detectable.
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3. Check a provider-specific watermark when it fits the file
Google’s Gemini help guidance says its verification feature can look for SynthID in supported images, videos, and audio. A positive SynthID result means that some or all of the media was created or edited by a supported Google AI system. It does not identify every AI system, and it does not establish that the scene is true.
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An absent SynthID result is limited evidence. Another provider may have made the file, the mark may not be supported for that media type, or extensive alterations may make the mark undetectable. Never rewrite “no mark found” as “human-made.”
4. Use the matching verifier and read its scope
The public OpenAI verifier checks supported image and audio files for signals associated with OpenAI tools. It does not currently provide general video verification. Upload one file at a time, follow the formats listed by the verifier, and save the exact result and date.
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5. Trace the file and the claim independently
Run a reverse-image search on the highest-quality still image you have. For video, extract several distinctive frames, including a frame showing a landmark, sign, vehicle, or unusual object. Search more than one frame because a result for a related image is not necessarily the source of the exact file.
Compare the earliest located upload, timestamps, location clues, weather, shadows, language, and account history. Look for independent photographs, live footage, official records, or reporting from the claimed event. An older copy can show that a caption is false or that the media predates the alleged event, but a reverse-search match alone cannot prove that the particular file was never edited.
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6. Examine visual details as prompts, not verdicts
Zoom in on reflections, shadows, hands, teeth, text, logos, object boundaries, repeated textures, and transitions between foreground and background. Check whether lighting and perspective fit the stated place and time. For video, watch frame by frame around faces, mouth movements, hair, fingers, and cuts.
These observations can tell you where to investigate. They cannot reliably classify every AI-made file. The Content Authenticity Initiative warns that AI-generated-image detectors can be unreliable and require regular updates. Generic detector scores should therefore never be the sole basis for removing content, accusing a person, or publishing a categorical “fake” label.
7. Write a calibrated finding
Describe the file, tool, and scope you actually checked. Useful wording includes:
- “The original file contains a valid credential recording creation and later edits by the listed tools.”
- “Gemini detected a SynthID signal associated with supported Google AI generation or editing.”
- “The OpenAI verifier found no supported signal in this image; that does not establish human creation.”
- “The file available to us is a screenshot, so embedded metadata and credentials could not be assessed.”
- “Reverse-search results place a visually similar image online before the claimed event; the event itself still requires independent corroboration.”
What each check can and cannot establish
| Check | Useful positive result | What a negative or missing result means | Main limitation |
|---|---|---|---|
| Content Credentials / C2PA | A signed record of participating tools, devices, origin, or edits; post-signing changes may be detectable. | No credential may mean the file never had one, the copy lost it, or the software does not support it. | It records provenance, not whether the depicted event is true. |
| Google SynthID check | Evidence that supported Google AI created or edited some or all of the media. | No detected mark does not exclude another AI provider or a degraded mark. | Coverage depends on supported media and the watermark surviving later changes. |
| OpenAI public verifier | A supported signal associated with OpenAI tools in an image or audio file. | No supported signal was found in that upload; it is not a human-made verdict. | It does not currently provide general video verification or test other providers. |
| Metadata | Context about a camera, date, settings, encoder, or editing application. | Missing fields are common after export, upload, or screenshotting. | Fields can be incomplete or altered. |
| Reverse-image search | Earlier copies, related images, or a likely original source. | No match may reflect a new, private, cropped, or poorly indexed file. | A similar result does not prove the exact file was unedited. |
| Visual inspection / generic detector | Specific anomalies that tell you what to investigate next. | A clean-looking image or low detector score does not authenticate it. | Detector reliability varies and changes as generation systems evolve. |
Official guidance reviewed for these tools does not provide comparable, current accuracy figures. Do not turn a company’s usage total or a detector’s confidence score into an error rate.
Gemini checks: limits, quotas, and interpretation
Under Google’s current Gemini help guidance, upload one image, video, or audio file at a time. Each file must be 100 MB or smaller, and a video must be under 90 seconds. The stated rolling 24-hour allowances are approximately:
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| Media | Approximate rolling 24-hour allowance | File restriction |
|---|---|---|
| Images | 10 checks | One file per check, up to 100 MB |
| Videos | 10 checks totaling up to five minutes | Each video under 90 seconds and up to 100 MB |
| Audio | 10 checks totaling up to three hours | One file per check, up to 100 MB |
These are volatile service limits, not permanent specifications; confirm the live Gemini help guidance before relying on them. Gemini supports compatible Content Credentials versions and may report credentials as unsupported or invalid. Such a report is not a conclusive origin finding.
Google reported in 2026 that SynthID had watermarked more than 100 billion images and videos and 60,000 years of audio, and that Gemini verification had been used 50 million times globally. Those are dated company-reported deployment and usage totals, not accuracy, false-positive, or false-negative statistics.
OpenAI verifier details and privacy boundaries
The public OpenAI verifier is designed for supported image and audio formats and recommends uploading one file at a time. Check its current format list rather than converting a file unnecessarily; conversion can remove the very metadata or signal you are trying to inspect.
The verifier’s guidance explains that a no-signal result can follow metadata stripping or tampering, watermark degradation, use of a legacy model, or unavailable signals at creation time. It also says uploaded files are not stored unless legally required and are not used to train its models. Do not upload confidential material until the current service terms and your organization’s policy permit it.
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How to handle conflicting or inconclusive results
Valid credential, but the story looks wrong
Keep the provenance finding and the truth finding separate. A valid record may show that a named tool generated or edited the file while the caption falsely identifies the location, date, or event. Investigate the claim with independent sources instead of discarding the credential.
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No credential and no provider signal
Report exactly that: the checked copy contained no supported credential or provider signal. Do not call it human-made. Re-check the original if a screenshot or social-media download was the only available copy, then use reverse search and independent reporting.
Invalid or unsupported credential
Preserve the file and the inspector’s message. “Unsupported” can mean the inspector does not implement that credential version; “invalid” can indicate a broken signature or a changed file. Neither label alone identifies who made the media or whether the scene is true.
Different tools disagree
Check coverage before treating the disagreement as a contradiction. A Google watermark check and an OpenAI verifier do not test the same providers, and neither is a universal detector. Confirm that each tool received the same untouched file, not different crops, exports, or screenshots.
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Keep the original archived. For a provider check with a size or duration limit, make a clearly labeled working copy and note the conversion. Use representative video frames for reverse search, but do not describe a frame-level check as verification of the entire original video.
Choose the depth of checking for the situation
| Situation | Minimum defensible process | Additional work when consequences are high |
|---|---|---|
| Personal message or everyday post | Save the best copy, inspect metadata, reverse-search distinctive frames, and ask for the original source. | Check credentials or a provider signal and compare independent coverage before forwarding. |
| Moderation or workplace decision | Preserve the file, document the account and timestamp, run supported provenance checks, and record limitations. | Use a second reviewer, seek the uploader’s original, and avoid punitive action based only on a generic detector score. |
| News, public accusation, or legal dispute | Preserve chain of custody, hash or securely archive the original where appropriate, document every tool and result, and corroborate the event independently. | Consult qualified digital-forensics or legal professionals; explain uncertainty and avoid claiming more than the evidence shows. |
Common mistakes that produce false certainty
- Calling a watermark the truth: a provenance mark can identify a tool without validating the scene.
- Treating absence as proof: no metadata, credential, or watermark may simply reflect reposting or unsupported coverage.
- Testing a screenshot: the rendered image is not the same evidence as the source file.
- Trusting one visual oddity: compression, motion blur, low light, and ordinary camera artifacts can resemble synthesis errors.
- Using a detector score as a verdict: generic detectors can be unreliable and need continual updating.
- Ignoring the caption: an authentic file can be paired with a false date, place, identity, or claim.
- Failing to record the exact file: results are not reproducible if you cannot say which copy, crop, or export was tested.
A compact record sheet for every investigation
Keep a short log so another person can reproduce your conclusion:
- Original filename, extension, byte size, acquisition source, and acquisition time.
- Whether the file is original, downloaded, forwarded, screen-captured, cropped, or converted.
- Metadata fields present and any contradictions.
- Content Credentials status and the signing organization, tools, devices, and edits shown.
- Provider checked, media type accepted, date checked, and exact result.
- Reverse-search queries, earliest relevant copies, dates, and independent sources.
- Visual anomalies observed, without turning them into a categorical verdict.
- Final wording that distinguishes what the file establishes from what remains unverified.
This record prevents a later reader from mistaking “no supported signal found” for “proven real” and makes clear when a conclusion applies only to a reposted copy.
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