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Upload an MP3, WAV, OGG or FLAC and see how likely it is to be a synthetic voice or clone. Voice classifiers and spectral measurements score it, and the breakdown shows the signals that drove the result.
20 credits per audio scan
Source: Imagera platform specifications · Updated October 2026
Upload a recording and the detector listens for the marks synthetic speech and generated music leave: cloned voices, text-to-speech narration and AI songs. It returns how likely the audio is to be AI-generated and the signals behind that score. It checks recordings, not live calls, so save the voicemail, voice note or call recording first.
Step 1
A voicemail, voice note, call recording or song as MP3, WAV, OGG or FLAC.
Step 2
One scan costs 20 credits; the button shows it before you run.
Step 3
Weigh the probability and the signals, then verify the caller another way.
Scan images, audio, text, video, and deepfakes for AI signatures — all from a single dashboard.
15 credits per scan
JPEG, PNG, WebP, HEIC — evaluate photos, illustrations, digital artwork, and edited composites.
Has a vision model inspect the picture for generation artifacts in light, texture, anatomy and text, and explain what it found.
10 credits per scan
Paste up to 25K characters — evaluate essays, articles, marketing copy, reviews, and social posts.
Scores word variety, sentence rhythm and AI-typical phrasing, in your browser.
15 credits per scan
Upload a face photo to check for face swaps, identity edits and manipulated portraits.
Has a vision model inspect the face for swap seams, mismatched lighting and blending, and explain what it found.
20 credits per scan
MP3, WAV, FLAC — identify voice clones, synthetic speech, narration, and generated audio.
Has an audio model listen for synthetic-voice and generated-music artifacts, and explain what it heard.
20 credits per scan
MP4, WebM, MOV up to 5 min — evaluate generated scenes, synthetic presenters, and edited footage.
Has a video model watch the whole clip for artifacts in motion, lighting and faces, and explain what it found.
Three steps to check any content. No installation or technical expertise required.
Select image, audio, text, video, or deepfake detection from the dashboard tabs. Each modality uses a purpose-built authenticity check.
Drag & drop a file or paste text. We accept JPEG, PNG, WebP, MP3, WAV, FLAC, MP4, WebM, MOV, and plain text up to 25,000 characters.
Receive an AI probability from 0 to 100%, a confidence figure and a label, with the signals behind them.
Multiple independent authenticity checks contribute to one confidence score. No single signal determines the result.
Reviews image structure, texture consistency, lighting, and camera-like detail to find patterns commonly associated with synthetic or manipulated visuals.
Evaluates predictability, sentence variation, repetition, and stylistic consistency to distinguish likely generated writing from natural human variation.
Checks breathing, cadence, tonal variation, and other speech characteristics that help distinguish natural recordings from synthetic audio.
Looks for frame-to-frame changes, facial boundary issues, synchronization problems, and motion behavior that may indicate generated or manipulated video.
Reviews the available content and file cues for evidence of synthetic generation or editing without exposing internal implementation details.
Combines independent authenticity signals into one confidence score so no single clue determines the result.
Imagera AI covers all five modalities in one place. See how that breadth compares with single-purpose and media-focused tools.
| Tool | Modalities | Image | Text | Audio | Video | Deepfake | Pricing |
|---|---|---|---|---|---|---|---|
| Imagera AI | 5 | Pay-per-scan, from 10 credits | |||||
| Text-only tools | 1 | Subscription | |||||
| Media tools | 2 | Enterprise | |||||
| Audio-only tools | 1 | Enterprise |
Imagera does not publish detection accuracy figures. Every detector, ours included, is less reliable on compressed, cropped or edited content.
How to read your results. A detection result is a signal, not a verdict — it should never be the sole basis for a decision about a person or their work. No detector in the industry is immune to false positives, and text detectors in particular are known to flag writing by non-native English speakers at higher rates. Treat every result as one data point, combine it with additional checks and human review, and use it as a conversation starter rather than a conclusion.
From universities verifying student work to newsrooms fact-checking source material — AI content detection is now essential across every industry.
Verify student submissions across essays, images, and presentations. Detect AI-written papers, AI-generated diagrams, and synthetic voices in audio assignments. Supports academic integrity policies at universities and schools worldwide.
Educators, universities, academic integrity officers
Verify source material authenticity before publication. Detect manipulated images, deepfake interviews, synthetic audio quotes, and AI-generated articles. Protect editorial credibility and prevent disinformation from entering the news cycle.
Newsrooms, fact-checkers, editorial teams
Protect against deepfake CEO fraud, verify vendor-submitted content, and maintain content authenticity standards across your organization. Integrate via API for automated content screening in compliance workflows.
Legal teams, compliance officers, risk managers
Screen user-generated content for AI manipulation at scale. Detect synthetic profiles, AI-generated reviews, deepfake profile photos, and bot-generated comments. Maintain platform trust and authenticity standards.
Platform moderators, trust & safety teams
Generate detailed forensic reports with confidence scores and methodology breakdowns for legal proceedings. Verify evidence authenticity, detect manipulated media in litigation, and support expert witness testimony with AI detection data.
Attorneys, forensic analysts, law enforcement
Combat disinformation campaigns, verify media authenticity in intelligence analysis, and protect public communications from deepfake manipulation. Support election integrity by detecting synthetic media in political contexts.
Government agencies, election officials, intelligence analysts
Coverage spans common generated and manipulated content types, and expands as generation techniques evolve.
Each scan costs a fixed number of credits. Current plans and credit packs are on the pricing page.
15 credits
per scan
10 credits
per check
15 credits
per scan
20 / 20 credits
per scan
In-depth guides covering detection techniques, tool comparisons, and best practices for every modality.
Ten AI image checkers compared on coverage, selfies and compressed social uploads.
Read guideScan the original file, then run the source checks a scan cannot.
Read guideAccuracy tests comparing Imagera with seven text-focused detection approaches.
Read guideCheck a suspicious voice before you pay, then scan the recording.
Read guideUpload any image, text, audio, video, or face photo to Imagera AI Content Detection. The tool evaluates multiple authenticity signals to judge whether the content is likely AI-generated. Results include an AI probability from 0 to 100%, a confidence figure and a label, with the signals behind them. Imagera does not publish an accuracy percentage for its detectors, because it has not run a benchmark that could support one. Every result is a likelihood, not a verdict. Scans start at 10 credits.
AI Content Detection AI content detection is the process of analyzing digital media — images, text, audio, video, and deepfakes — to estimate whether it was created by artificial intelligence. Imagera AI Content Detection evaluates multiple authenticity signals across five modalities and returns an AI probability from 0 to 100%, a confidence figure and a label, with the signals behind them. Browser-based with pay-per-scan pricing from 10 credits.
Imagera AI offers image, text, audio, video, and deepfake detection in one tool. Many alternatives specialize in one or two content types. Imagera combines broad coverage with pay-per-scan pricing.
Complete your workflow
Every tile says what the tool actually does — without leaving this page.
Generate AI images then test them against the detector
Add authentic sensor noise and camera texture for photorealistic AI images
Generate AI voices and verify authenticity with audio detection
Ask 10 AIs the same question. Steal the best answer.
The makers of Imagera
Imagera is a unified AI creation platform for images, video, voice and avatars. Outputs ship at up to 16K resolution with no watermark and a commercial license included — choose from 170+ media models in a single workspace.
Drag the slider — feel the difference. Then run the same pipeline on your file.
Questions
Everything you need to know about detecting AI-generated audio and voice clones.
Listen for speech that is too even: no breaths, identical pacing, flat emotion on words that should carry it, or clipped consonants at the end of phrases. Those cues are unreliable on a short or noisy clip, so upload the recording to the AI voice detector as well. It returns an AI probability from 0 to 100%, a confidence figure and a label, with the signals behind them. Treat a high score as a reason to verify the speaker another way, not as proof.
It checks whether the recording is synthetic speech, which is what a cloned or deepfake voice is. It does not compare the voice with a real person's recordings and cannot confirm who is speaking. If a call or voice note asks for money or codes, verify through a number or channel you already trust, whatever the score says.
Yes, once it is a file. The detector checks recordings, not live calls: save the voicemail, voice note or call recording, then upload it as MP3, WAV, OGG or FLAC (up to 50 MB). Each scan costs 20 credits.
It listens for the artifacts of synthetic voices and of generated music, so an AI-made song or narration is in scope. It does not label what a sound is or transcribe the audio; it estimates whether the recording was generated.
Imagera AI Content Detection supports five modalities: images (JPEG, PNG, WebP, HEIC), audio (MP3, WAV, OGG, FLAC), text (paste any text up to 25,000 characters), video (MP4, WebM, MOV up to 5 minutes), and deepfake/face-swap detection. Each modality uses a detection system optimized for that content type.
Imagera does not publish an accuracy percentage for its detectors, because it has not run a benchmark that could support one. Each scan reports an AI probability from 0 to 100%, a confidence figure and a label, with the signals behind them. The image check has a vision model inspect the picture for generation artifacts in light, texture, anatomy and text, and explain what it found. The audio check has an audio model listen for synthetic-voice and generated-music artifacts, and explain what it heard. The text check scores word variety, sentence rhythm and AI-typical phrasing, in your browser. The video check has a video model watch the whole clip for artifacts in motion, lighting and faces, and explain what it found. The deepfake check has a vision model inspect the face for swap seams, mismatched lighting and blending, and explain what it found. Every result is a likelihood, not a verdict — a high score means the file looks generated, not that it provably is, and a low one is not proof it is authentic. Compression, cropping and editing all weaken the signals.
Each scan is paid in credits: image 15, text 10, deepfake 15, audio 20 and video 20. A few text checks are included before credits apply. Current plans and credit packs are on the pricing page.
No detector can promise that. The checks look for the marks generation leaves in light, texture, motion, voices and music rather than matching a list of known generators, so they are not limited to named tools, but newer generators can leave fewer marks. Treat every score as a likelihood.
It depends on the tab. Text is checked entirely inside your browser — the passage you paste is never uploaded and never leaves your device. Image, audio, video and face-swap analysis runs on cloud infrastructure, so those files are uploaded and stored in your account while they are processed and afterwards, which is also what lets them appear in your history. Nothing you submit is used for training or shared with third parties, and all transfers use TLS 1.3 encryption.
Each scan returns an AI probability from 0 to 100%, a confidence figure and a label, with the signals behind them: how likely the content is to be AI-generated, how strongly the detector's signals agree, and a plain-language label. It is an estimate to weigh, not a yes-or-no verdict.
Usually a few seconds. In timed runs on 28 September 2026 an image scan took about 3 seconds, a video about 6 and an audio clip about 3; longer and larger files take longer. Text is scored in your browser as you paste it.
Yes. AI Content Detection is used by publishers, educators, content platforms, news organizations, legal teams, and compliance departments to verify content authenticity at scale. Imagera covers images, audio, text, video, and deepfakes in a single tool.
Imagera offers detection across all five modalities (image, text, audio, video, and deepfake) in a single tool. Many alternatives specialize in one or two content types. Imagera combines broad coverage with pay-per-scan credit pricing.
Imagera AI detection provides reports with an AI probability, a confidence figure and the signals behind them that can support legal and academic proceedings. However, no AI detection tool should be used as the sole basis for accusations. Best practice: combine Imagera results with at least one additional detection method and human review. For academic integrity, use detection as a conversation starter with students rather than a definitive verdict.
Images • Audio • Text • Video • Deepfake — all from one tool, pay per scan
From 10 credits per scan
Complete your workflow
Every tile says what the tool actually does — without leaving this page.
Generate AI images then test them against the detector
Add authentic sensor noise and camera texture for photorealistic AI images
Generate AI voices and verify authenticity with audio detection
Ask 10 AIs the same question. Steal the best answer.
Explore our guides and resources to get the most out of this tool
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Add authentic sensor noise and camera texture for photorealistic AI images
Make AI images look like real camera photos — authentic sensor noise and film grain
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