Deepfake Detection
Investigate an image or video, review provenance and request AI assessment of the selected image or captured frame.
PixLab Forensic brings deepfake investigation, image forensics, video frame review, audio analysis and text examination into one workbench. Assess AI-generated images and selected video frames, inspect EXIF/GPS and Content Credentials, and turn your observations into investigation reports.
Browser tools are free, with no account or installation required. Optional AI assessment is available for images and selected video frames, subject to service availability. Explore deepfake investigation →
Inspect visual evidence
EXIF/GPS, Content Credentials, ELA, noise and hashes.
Review recordings closely
Waveforms, spectrograms and timestamped video frames.
Trace text references
Search terms, URLs, emails, dates and source passages.
Assess AI-generated imagery
Image and selected-frame assessment with explanations and reported signals.
Start in Deepfake Detection to investigate an image or video. Use Images for provenance and diagnostics, Video for frame capture, Audio for spectrograms and Text for reference analysis. Move between sources as your investigation develops.
Every file you open joins the session list. Each media workspace keeps one current source, and supported per-source editing, cursor and search state stays available while you switch.
Keep source files, captured frames, text revisions and notes together in a saved project, then resume the review when you need it.
One workbench, focused views
Investigate an image or video, review provenance and request AI assessment of the selected image or captured frame.
Inspect EXIF/GPS, ELA, JPEG and noise diagnostics, embedded thumbnails, hashes and Content Credentials.
Capture timestamped video frames or examine recordings with waveform playback and an FFT spectrogram.
Search source passages, follow URLs, emails and dates, preserve revisions and optionally request AI review of an excerpt.
Open Projects, Users & Profile, Settings, hash sets and App Data controls from one place.
Start with a question the source can help you investigate. Separate what was recorded, what you can directly observe and what still needs independent verification.
Submitted photograph
Inspect the image and available camera, date, software and GPS fields.
Identify details to corroborate and information that is missing.
Explore image diagnosticsRecording
Replay footage, or navigate the audio waveform or spectrogram and listen again.
Locate a moment or passage for closer review against the account.
Statement or notes
Paste text or import TXT/Markdown, search a phrase and inspect URL, email and date candidates.
Identify references to verify independently while keeping their passages in view.
Explore text analysisSynthetic-media review
Review the image and metadata, then explicitly request connected AI assessment if enabled.
Compare the service response with the source and decide what still needs corroboration.
Explore synthetic-media assessmentOpen a source, examine the available evidence and follow the details that need closer review. Combine image diagnostics, frame capture and AI assessment with notes, projects and reports that preserve your findings.
Choose a workspace
Choose Deepfake Detection for images or video, or open the Images, Video, Audio or Text workspace for specific tools.
Open the source
Choose a file, drop multiple supported files into the source panel or paste text directly into the Text workspace.
Examine the evidence
Review metadata, Content Credentials and image diagnostics, capture video frames, inspect spectrograms or follow references in source text.
Add connected context
Request AI-generation assessment for an image or selected frame. Ask about visible details, location clues or a text excerpt, then check the response against the source.
Connected interpretations supplement the examination. They do not replace direct observations or independent verification.
Record the findings
Keep recorded facts, analyst observations and connected interpretations distinct, then preserve useful findings in notes or an exported report.
Source
Visual details
Inspect
Recorded context
Review
Indicators & gaps
Review available EXIF metadata alongside a zoomable image to examine how recorded dates, device details and software tags relate to the claim you are checking. When coordinates are present, continue into location intelligence without treating metadata as unquestioned fact.
Review camera, date, software and GPS fields when available.
Pan and zoom into regions that require closer examination.
Use recompression differences as an investigative indicator, not proof.
Use SHA-256 and MD5 for exact matches, and dHash to review visually similar images.
Compare opened images against imported MD5 or SHA-256 lists to identify known files.
Record observations, questions and missing context alongside the source.
Read GPS coordinates and capture dates when they are present in an image, then explore the recorded location on a map. When GPS is missing, ask AI about visible landmarks, signs and scene details to develop a location hypothesis for further research.
Read latitude and longitude from supported metadata without converting an inference into a source fact.
With connected services enabled, choose Map, Split or Show on map to load the OpenFreeMap basemap through MapLibre, with 2D and globe presentation available. No map credential is required.
Ask about landmarks, signs or scene details through a configured image-analysis service, then verify the suggestion independently.
Recorded location
GPS metadata
Extracted from the image file when present
Inferred location
Connected AI estimate
Suggested from landmarks or visual details
Play and inspect recordings, capture timestamped video frames and examine audio waveforms and spectrograms. Send a selected frame to Deepfake Detection for image assessment, then return to the recording with the frame's context intact.
Open a browser-supported recording, listen while following its playback position and move through a waveform to revisit relevant passages.
Pause on a detail, capture a frame and inspect it in Images or Deepfake Detection. Each capture retains its parent recording, timestamp, dimensions, encoding settings and hash.
Paste text or import a TXT or Markdown file to search statements, count words and follow URLs, email addresses and dates back to their source passages. Optional AI review examines a limited excerpt and links returned quotations to the text.
Move through term matches and click extracted candidates to select their exact passage in the source.
Trace URLs, emails and dates, or request connected AI review with quotations linked back to the source.
View or restore the original at any time. Cursor, scroll and search state are preserved while you switch sources.
Open an image or video in Deepfake Detection, examine its provenance and request AI-generation assessment for an image or captured frame. Review the explanation and reported signals alongside image diagnostics and the source's wider context.
Explicit assessment
Choose Assess AI generation for an image, or capture and select a video frame before requesting assessment. Results can include a service-reported verdict, confidence, explanation and signals.
Review the evidence
Compare AI signals with Content Credentials, recorded software fields, ELA, JPEG and noise diagnostics, hashes and the original image or recording.
Important boundary
A frame assessment applies to that frame alone. Service-reported confidence and image indicators support investigation; they do not prove authenticity or establish a whole-video verdict.
AI-assisted image questions
Explore a scene, visible detail or possible location. When you submit a request, the configured service can use the active image preview and available metadata as context.
Example questions
“Which visible details should I examine more closely?”
“What do the recorded camera and software fields tell us?”
“Which location clues are visible, and which conclusions are estimates?”
“What additional information would help assess this claim?”
Opening an image does not start AI analysis automatically. Review each response against the source and independent information.
Move from image provenance to frame review, from a text reference to a source passage. PixLab Forensic keeps the tools, observations and reports for your investigation in one workbench.
Image provenance
Compare recorded metadata, Content Credentials, image diagnostics and hashes before drawing conclusions.
AI-assisted review
Assess AI generation in an image or selected frame, ask an image question, or review a text excerpt.
Investigation records
Keep source notes, captured frames, text revisions and available findings in a project, then export a report.
| Toolset | What you can examine | Using the findings |
|---|---|---|
| Deepfake investigation | Image provenance and optional AI-generation assessment of images or selected video frames. | Compare the explanation and signals with the source. A frame result applies only to that frame. |
| Image diagnostics | EXIF/GPS, ELA, JPEG quantization tables, noise-variance overlays and embedded thumbnails. | Look for inconsistencies to investigate. Compression and ordinary edits can produce similar patterns. |
| Content Credentials | Available C2PA claims and supported claim-signature checks. | A supported signature check does not validate image-byte binding, certificate trust or authenticity. |
| File identity & similarity | SHA-256 and MD5 hashes, dHash similarity comparisons and imported known-file lists. | Identify exact matches or visually similar session images for further review. |
| Audio & video review | Waveform playback, FFT spectrograms and timestamped video-frame captures. | Revisit a passage or inspect a frame while preserving its recording context. |
| Text analysis | Term search, source-linked URLs, emails and dates, revisions and optional AI excerpt review. | Follow references to their passages and check AI interpretations against the original. |
| Location intelligence | Recorded GPS, 2D and globe map views, and AI estimates based on visible scene clues. | Distinguish recorded coordinates from inferred locations and corroborate either independently. |
| Projects & reports | Saved sources, captured frames, revisions, notes, JSON evidence bundles and print-ready reports. | Resume an investigation and share a report of the examination, including the context behind each finding. |
Open your media, examine the details, record observations and export the findings. Save the project before closing to retain your sources and review state.
Keep investigations organized with saved projects, source notes, captured frames and text revisions. Resume a review, compare file identities and export a report that records the evidence behind your findings.
Save examined sources, notes, text revisions, captured frames and available findings in a project. Resume a saved investigation from the guide or Manage workspace.
Save an optional display name, remember the last workspace, resize text from 100%–150%, switch themes, use fullscreen, and collapse panels.
Import local MD5/SHA-256 hash sets, manage connected analysis and maps, export interface preferences, or reset them. Exports exclude source media, findings, and service configuration.
Hashes, recorded metadata, analysis parameters, operator notes, provenance notes and an explicit disclaimer.
Produce a structured report and save it as PDF through the browser print dialog. Source files are not embedded.
Reports record the examination; they are not certificates of authenticity. Preference exports exclude source media, findings and service configuration.
Use the workspace that matches the evidence in front of you, develop observations and then compare those observations with other sources.
Examine submitted images, recordings and statements before drawing conclusions about a claim.
Use coordinates, visible clues and extracted text references as starting points for independent research.
Review supported source material, note missing information and develop concrete follow-up questions.
Use the workbench for initial examination within the organization's evidence-handling procedures.
Revisit important passages and compare what is visible or audible with the account of an event.
Investigate an image or selected video frame with AI assessment, provenance checks, ELA, hashes and Content Credentials.
Use image diagnostics, Content Credentials, source relationships and saved projects to connect individual observations. These tools work alongside image and selected-frame AI assessment in the current workbench.
Relationships from examined sources
The entity graph uses recorded metadata and source identity to show relationships between examined files. An explicitly labelled demo appears when no examined data is available.
Keep recorded information, derived frames and AI interpretations distinct as you follow each finding.
Inspect ELA, JPEG quantization tables, regional noise variance and embedded thumbnails to identify details for further review.
Read available C2PA claims and check supported claim signatures. The check does not validate image-byte binding, certificate trust, revocation or overall authenticity.
Request AI-generation assessment of an image or selected video frame. Review the service's explanation and signals alongside provenance and diagnostics.
Explore a source-backed entity graph using recorded metadata and file identity. Select a source node to return to the corresponding workspace.
Save sources, notes, text revisions, captured frames and available findings. Resume an investigation and export a project manifest or examination report.
Navigate waveforms and spectrograms, capture timestamped video frames and preserve their parent recording context for review.
Answers about deepfake investigation, image diagnostics, recording review, text analysis, saved projects and reports.
PixLab Forensic is a workbench for investigating AI-generated content and manipulated media. It combines AI assessment of images and selected video frames with image diagnostics, EXIF/GPS, Content Credentials, audio spectrograms, text analysis, saved projects and reports.
They help you develop observations to verify: recorded metadata, visible image details, audio patterns, video moments and text references. They can also reveal missing context, but they do not prove a claim on their own. See analysis in practice.
Choose Deepfake Detection to investigate an image or video, or open Images, Video, Audio or Text for specific tools. Open a supported file, drop it into the source panel or paste text into Text. The How-to & FAQ guide introduces the available workflows.
Yes, when browser storage is available. The last primary tab is remembered. Save your sources and findings in a project before closing; resume a saved project from the guide or Manage workspace. See projects and reports.
Use Aa (Text size) in the header or Manage > Settings. Choose 100%, 115%, 130% or 150%; the preference is remembered locally when storage is available.
Open the image in Images and review the Metadata panel. Supported fields include camera make/model, capture date, software tags and GPS when present. See image diagnostics and EXIF.
Yes. You can still inspect visible detail, use ELA, JPEG and noise diagnostics, compare hashes and request AI assessment. Missing EXIF does not establish authenticity, and metadata tools cannot recover absent fields.
PixLab Forensic can read recorded dates and GPS coordinates when they exist. Recorded values can be edited, so corroborate them. The optional map and AI location estimate are separate actions. See location intelligence.
Yes, through an explicit connected image question. The service can reason from landmarks, signs and visible details, but the result is only a hypothesis and does not recover missing GPS.
Yes. Image tools include ELA, JPEG quantization-table diagnostics, noise-variance overlays, embedded-thumbnail comparison and hashes. Content Credentials tools read available C2PA claims and check supported claim signatures. They do not validate image-byte binding, certificate trust or revocation. See forensic capabilities.
Inspect ELA, JPEG diagnostics, noise-variance overlays and embedded thumbnails for inconsistencies. Compare metadata and hashes with the source context. Compression, resizing and ordinary edits can create similar patterns, so these indicators do not independently prove manipulation. See image diagnostics.
Open an image or video in Deepfake Detection. Review provenance and image diagnostics, then request connected AI assessment of the image or a selected video frame. A compatible service can return a verdict, confidence, explanation and signals. A frame result applies only to that frame. See deepfake analysis.
Automated AI-generation detection for text, audio and complete videos is not available. For video investigations, capture and assess selected frames individually. Audio offers waveforms and spectrograms; Text offers reference analysis and optional AI review of an excerpt rather than an AI-writing detector.
Yes, when connected AI is enabled and configured. Ask about visible content, scene context, metadata or possible location. Each request is submitted explicitly and should be checked against the source.
Use the waveform and local FFT spectrogram to locate passages, pauses, transitions and level changes. Click the spectrogram to seek and follow the playback cursor. They do not identify speakers or prove an edit. See audio analysis.
Play, pause and seek supported video, capture timestamped JPEG frames, inspect a frame in Images or Deepfake Detection and return to its parent recording. A capture records its timestamp, dimensions, encoding settings and hash. Optional AI assessment applies to the selected frame. See video review.
Paste text or import TXT/Markdown up to 5 MB. Current tools include:
Optional connected review sends a limited excerpt and links returned quotations to their source passages. Preserve originals, working revisions and notes in a project. The Text workspace is not an AI-writing detector. See text analysis.
Image display, metadata extraction, audio decoding and video playback depend on browser/library support. Text accepts TXT, Markdown and pasted text up to 5 MB. PDF and Word are not supported by the current Text workspace.
Image diagnostics, playback, frame capture, spectrograms, text inspection and report generation run in the browser. Requested AI assessment sends the selected image or frame; oversized images use a temporary upload. Image questions send a preview and context, and connected text review sends a limited excerpt. Online maps make separate basemap requests.
Only after connected services are enabled and you choose Map, Split or Show on map. Opening a GPS-tagged image alone does not connect to OpenFreeMap; local GPS extraction still works while connected services are blocked.
Save a project to retain examined sources, notes, text revisions, captured frames and available findings in this browser. Use Resume a project on the guide or reopen saved sources from Manage. Unsaved work clears on refresh, and clearing browser storage removes saved projects. See projects and reports.
Yes. Open or batch-import several sources, then switch between them during the session. SHA-256 and MD5 identify exact matches, while dHash comparisons highlight visually similar session images for review.
The local profile is not an account. Preference export excludes media, findings and service configuration. See projects & app data.
Yes. Report can produce:
Source files are not embedded, and the report is not an authenticity certificate.
Yes. The entity graph uses recorded metadata and source identity from examined files. Select a source node to return to its workspace. When there is no examined source data, the graph shows an explicitly labelled demonstration. See source relationships.
No single metadata field, visual signal or AI response proves authenticity. Treat the workbench as a way to develop observations and questions, then corroborate them with source context and independent evidence.
Browser tools are free and require no account or desktop installation. Optional connected AI depends on service availability, sign-in requirements and applicable plan limits. Online maps do not require a map token.
Yes. Journalists, fact-checkers, OSINT researchers, investigators and media reviewers can examine source context, investigate suspected synthetic media, record observations and export reports. Check findings against independent evidence and your organization's review procedures.
Investigate an image or video, examine the available provenance, assess a selected frame and record what you find. Bring audio review, text references and exported reports into the same investigation.
Free browser tools with no account required. Optional AI assessment depends on service availability and applies to the selected image or frame.