EXIF metadata
Device manufacturer and model, capture time, orientation, exposure, lens, dimensions, GPS coordinates, and embedded thumbnail data.
EXIF & source analysis
Analyze the source and history stored inside an image file
An image contains more than visible pixels. essential-fd analyzes image metadata for technically relevant inconsistencies and source traces across claims, disputes, warranties, returns, and visual evidence workflows.
Hidden file information
Metadata describes technical properties, origin, creation process, and file history. essential-fd combines several metadata families into one forensic analysis.
Device manufacturer and model, capture time, orientation, exposure, lens, dimensions, GPS coordinates, and embedded thumbnail data.
Software, editing history, timestamps, document identifiers, processing steps, exports, and asset-management workflows.
Captions, copyright, creator, location, keywords, and source information used in media and publishing.
Format, compression, color profile, dimensions, orientation, encoding, timestamps, previews, and application markers.
Forensic context
Metadata does not automatically prove that an image is genuine or fraudulent. It can reveal concrete inconsistencies between the file and the story attached to it.
Time relationships
Files may contain original capture, digitization, creation, modification, metadata-modification, export, and application-specific times.
These legitimately change through copying, exporting, compressing, transmitting, and uploading. essential-fd evaluates relationships between timestamps, format, software, and the expected submission process rather than relying on a single value.
Capture time predates claim, transaction, delivery, or warranty event.
Assess whether rotation, compression, upload, messaging, or editing explains the change.
Metadata sections contain different creation or modification times.
Account for device defaults, missing zones, and incorrect clocks.
Source characteristics
Manufacturer, model, lens, firmware, orientation, and capture settings can show whether related files share a source.
Names and markers from editors, screenshot tools, messaging, scanners, social platforms, cloud storage, and conversion tools.
Where available, coordinates can be compared with incident, delivery, repair, or property locations as supporting evidence.
Earlier image state
Some JPEG and TIFF files contain a small preview created when the image was first captured. If the main image is later edited without updating that thumbnail, the versions may differ.
The preview can expose added damage, removed objects, later cropping, or inserted text when a usable thumbnail remains.
Important limitation
Messaging, social media, upload systems, privacy settings, compression, conversion, screenshots, operating systems, cloud services, and marketplace apps can legitimately remove metadata.
essential-fd evaluates whether missing information is expected in the actual workflow instead of flagging absence by itself.
Corroborated evidence
Metadata is not a secure record: fields can be changed, deleted, or recreated. essential-fd therefore combines it with compression and encoding analysis, dimensions, embedded previews, duplicate detection, cross-image consistency, file naming, document forensics, and case information. The strongest findings often come from conflicts between signals.
Case-level analysis
A group can reveal more than one image. Compare device, capture range, dimensions, orientation, software history, encoding, file naming, and color profiles across a claimed capture series.
Images presented as one series identify different source devices.
Some files passed through a different or unexpected application.
Available dates do not align with the claimed event.
Dimensions, profiles, or file patterns indicate different origins.
Explainable output
Return extracted metadata, timestamps, device and software details, identified inconsistencies, cross-image comparisons, explanations, overall OK or FLAG, and recommended review actions through structured data or a readable report.
Assess incident time, device consistency, and source history.
Claims image forensics →Compare dates, external sources, and repeated submissions.
Marketplace evidence →Support product, vehicle, property, delivery, and condition reviews.
Integration
Analyze metadata automatically whenever an image arrives and return a structured result or human-readable report.
Hidden evidence
Add EXIF, timestamp, device, and source analysis to your existing evidence workflow.
FAQ
Metadata commonly added by cameras and phones, including device, capture date, orientation, exposure, dimensions, and GPS data.
Yes. It can be edited, removed, or recreated and should be one source of evidence rather than unquestionable proof.
No. Many legitimate applications and upload processes remove EXIF.
Available timestamps can be extracted and compared, but may be missing, inaccurate, changed, or affected by processing.
Where metadata remains, manufacturer, model, and related information can be extracted.
It can support assessment but may be missing, inaccurate, or manipulated and should not be the sole basis for a decision.
No. Metadata can be combined with encoding, compression, dimensions, previews, duplicate relationships, and cross-file consistency.