Short answer: SynthID is an invisible-watermark check, not a universal AI detector. Google designs its image, video and audio marks to remain detectable after common changes such as cropping, filters, color or brightness adjustments, frame-rate changes, noise, speed changes and lossy compression. Detection is not guaranteed after severe manipulation, and a result cannot prove that every part of a file is AI-generated, unedited or authentic.
What SynthID actually detects
SynthID looks for a watermark that Google’s generation systems embedded in the media. In images and video, the signal is distributed through pixels. In audio, it is an inaudible pattern in the waveform. Text watermarking uses statistical patterns in token choices rather than a hidden image or sound signal.
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That distinction matters. A positive result means the detector recognized a watermark associated with the systems and partners it supports. It does not answer broader questions such as who made the file, whether someone edited it later, whether every scene or sentence came from AI, or whether the underlying claim is true.
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Google’s original image explanation says a detected mark means an image is likely generated by Imagen, and it allows for the possibility that only part of an image was generated. Google presents watermarking alongside metadata, digital signatures and source context as complementary provenance tools, not as a replacement for them.
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How robust is the watermark after common edits?
The table describes Google’s stated design goals. “Designed to remain detectable” is not the same as a guaranteed success rate. Public documentation does not provide universal JPEG or MP3 quality thresholds, a minimum surviving image area, or a pass rate for every codec and editing workflow.
| Media | Where the mark is embedded | Changes Google specifically describes as supported | Important limits |
|---|---|---|---|
| Images | Pixel information | Cropping, added filters, lossy compression, and changes in color or brightness | Extreme image manipulation can defeat detection; results are scoped to the watermark systems being checked |
| Video | Pixels across video frames | Cropping, filters, changed frame rates and lossy compression | A file-level result is not automatically a verification of every frame, edit or codec setting |
| Audio | An inaudible waveform signal | Added noise, MP3 compression and playback-speed changes | Google publishes no universal bitrate, codec or resampling threshold in the documented sources |
| Text | Token-probability patterns | Some cropping, changing a few words and mild paraphrasing | Thorough rewriting or translation can greatly reduce confidence; short or highly constrained answers are harder to watermark reliably |
Images: what survives and what can erase detection
Cropping, filters and tonal adjustments
Google says the image mark is designed to withstand ordinary cropping, filter application, lossy recompression, and color or brightness changes. Those operations alter the pixels but may leave enough of the distributed signal for a detector to recognize it. A crop that removes much of the original canvas can still be detectable, but Google does not publish a universal minimum percentage of pixels that must remain.
Severe manipulation
Heavy retouching, repeated transformations, aggressive generative fill, extensive compositing or other adversarial changes may destroy or confuse the signal. Google DeepMind authors Sven Gowal and Pushmeet Kohli described the approach in the 2023 image announcement this way: “SynthID isn’t foolproof against extreme image manipulations, but it does provide a promising technical approach for empowering people and organisations to work with AI-generated content responsibly.” Treat that as a limitation, not as a promise that a difficult image will receive a useful answer.
What an image result means
The image explanation uses three confidence interpretations:
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- Detected: the checked image is likely to contain the relevant Imagen watermark.
- Possibly detected: evidence is inconclusive and should be treated cautiously.
- Not detected: the image is unlikely to contain that tested Imagen watermark.
“Not detected” is not a finding that the image was made by a person. It can mean the file came from another generator, the watermark was never present, the image was transformed beyond recognition, or the detector does not cover that watermark type.
Video: an edit-resistant signal, not an edit-history log
Google describes video SynthID as a mark embedded in frame pixels. Its stated design targets include cropping, filters, frame-rate changes and lossy compression. These changes can occur when a clip is exported for a social platform, converted between formats or rendered at a different cadence.
A positive file check should not be interpreted as proof that every frame carries an intact mark or that no one inserted, removed or replaced frames. The public descriptions do not specify per-codec limits, bitrate cutoffs, frame-interpolation tolerance or guaranteed performance after repeated re-encoding. If the current detector reports only a file-level result, it cannot establish an exact edit timeline.
For an investigation, retain the original upload, the downloaded copy, export settings and any platform-transcoded versions. Comparing those versions can show where a result changes, but such a comparison remains evidence about those files rather than a universal robustness test.
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Audio: compression and speed changes are expected use cases
Google says audio marks apply to content generated or published through Lyria or NotebookLM’s podcast-generation feature. The mark is intended to remain detectable after common modifications, including added noise, MP3 compression and changing playback speed. Because the signal is inaudible, listening alone cannot tell you whether it is present.
There is no published universal promise for every encoder, bitrate, sample-rate conversion, resampling chain, clipping event or time-stretch algorithm. An MP3 export may preserve the mark in one workflow and make detection uncertain in another, especially after multiple conversions. Do not turn a successful check at one quality setting into a claim that all MP3 files will test positive.
Google has separately reported a 98.6% figure for an AudioLM synthetic-speech classifier. That is a different system and measurement, not a SynthID detection benchmark, so it cannot be used to estimate SynthID’s success after compression.
Text: probability patterns behave differently
Text watermarking does not survive edits in the same mechanical way as a pixel or waveform mark. It relies on patterns in the model’s token probabilities, and it works best on longer, varied responses where the model has room to choose among many plausible words.
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- Removing or cropping some text, changing a few words or applying mild paraphrase can leave enough of the pattern for confidence to remain.
- Thorough rewriting, translation or aggressive style conversion can reduce confidence greatly because the original token choices have been replaced.
- Constrained factual answers, lists of names, code and other formats with few reasonable token choices offer less flexibility for a watermark to express itself.
The current overview discusses text watermarking for Gemini responses. The current detector description names image, video and audio file checking; do not assume that a public upload portal accepts arbitrary text unless its present interface explicitly says so.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How to read “detected,” “possibly detected” and “not detected”
Detected
This is evidence that the checker recognized a supported Google or partner watermark. State the result narrowly: “The detector found a watermark associated with the supported systems.” Do not write that the entire file is AI-generated, that no human editing occurred or that the content is authentic.
Possibly detected
An uncertain result is a prompt to gather more evidence, not a verdict. Recheck the original file if available, compare an uncompressed copy with the distributed version, and examine provenance information. Avoid presenting an uncertain result as confirmation.
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This means the checker did not recognize a watermark it knows how to identify. It does not prove human authorship, because the content may come from an unsupported generator, may predate watermarking, may have lost the signal during editing, or may contain only a small generated component.
How to check a file with Google’s current interfaces
Google’s current overview describes two routes: asking Gemini about an attached image, video or audio file, and using the SynthID Detector portal for supported media. Interfaces, account access, partner coverage and geographic availability can change, so follow the labels shown in your account rather than assuming every file type is accepted.
- Preserve the evidence first. Keep the original download or camera export unchanged. Make a working copy for conversion or trimming, and record the filename, hash if your workflow uses one, creation time and where you obtained it.
- Try Gemini. Open Gemini, attach the supported image, video or audio file, and ask whether it was generated or altered by Google AI. Read the response for its confidence wording and the specific media type it assessed.
- Use the SynthID Detector when available. Open the current Detector interface, upload the supported file and note whether it reports a watermark from Google or a participating partner. Save the result with the exact file version that was uploaded.
- Repeat only with clearly identified versions. If you also check a cropped, recompressed or speed-changed copy, label it separately. A changed result shows that the two files differ; it does not establish a universal threshold.
- Cross-check provenance. Inspect embedded metadata, available digital signatures, the original publisher, upload history and independent reporting. Metadata can disappear during editing while a pixel or audio watermark remains, and the reverse can also occur.
Why a watermark check cannot establish authenticity
Watermarking answers a narrower question than authenticity. A marked image can be edited after generation. A real photograph can be placed in a file that also contains a generated overlay. A video can combine generated and camera footage. An audio track can include a marked synthetic segment alongside unmarked speech. The detector does not, by itself, identify which regions were changed or reconstruct the edit sequence.
Likewise, absence of a mark has several explanations. The generator may not participate in the system, the file may have been created before watermarking, the signal may have been damaged by severe processing, or the detector may not support that codec or partner. Therefore, “no watermark found” should never be shortened to “human-made.”
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When a media file affects safety, reputation, money or public reporting, combine independent clues instead of relying on one detector response.
- Keep originals: save the first file you received and every derivative used for checking.
- Check provenance: look for a trustworthy originating account, publication record or signed asset.
- Inspect metadata carefully: treat timestamps, software fields and camera information as clues that can be removed or rewritten.
- Use the watermark result narrowly: record the modality, confidence wording and exact file version.
- Seek corroboration: compare the claim with independent images, recordings, witnesses or reporting.
- Document uncertainty: if the result is possibly detected or unsupported, say so explicitly rather than forcing a binary conclusion.
Google’s 2024 text and video announcement summarizes the intended role: “SynthID isn’t a silver bullet for identifying AI generated content, but is an important building block for developing more reliable AI identification tools and can help millions of people make informed decisions about how they interact with AI-generated content.”
What is not publicly specified
The available official descriptions do not establish a universal detection rate across edit strengths. They also do not give a minimum surviving image area, exact JPEG or MP3 quality threshold, guaranteed tolerance for every codec, resampling method, frame interpolation process, compositing technique or adversarial transformation. Those missing figures are why a careful explanation should use “designed to remain detectable after” rather than “survives all editing.”
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