DocEnsure Features — 142 AI Forensic Checks Explained

Category 1: Visual & Layout Analysis

18 checks — Analyzes fonts, alignment, colors, borders, and visual consistency

18

#1Font Size ConsistencyMeasures contour height variance across text — flags documents with too many font sizes

#2Font Type ConsistencyCompares font rendering across regions — detects mixed fonts from different applications

#3Text Alignment VerificationMeasures x-position standard deviation of text lines — detects misaligned edits

#4Line Spacing AnalysisCalculates coefficient of variation in line gaps — irregular spacing may indicate tampering

#5Color Scheme ConsistencyAnalyzes hue distribution across document — flags unexpected color variations

#6Font Color ConsistencyDetects multiple font colors — payroll docs should have uniform text color

#7Border ConsistencyChecks border uniformity and completeness — expected borders should be present and regular

#8Layout Template MatchingCompares document structure against expected templates for each document type

#9Logo Position VerificationChecks if institutional logos appear in expected regions — mispositioned = possible edit

#10Logo Quality AssessmentMeasures logo sharpness via Laplacian variance — low quality may indicate paste

#11Stamp/Seal DetectionDetects circular seal regions using Hough circle transform

#12Stamp Quality AnalysisEvaluates stamp clarity, circularity, and color consistency

#13Header/Footer ConsistencyVerifies header and footer presence and consistency across pages

#14Margin UniformityChecks document margins are consistent — edited docs often have margin shifts

#15Print Quality AnalysisAssesses overall print quality — digital vs scanned characteristics

#16Text Overlay DetectionDetects regions where text may have been overlaid on existing content

#17Image Quality AssessmentMeasures sharpness, brightness, contrast, and resolution — document-type-aware thresholds

#18Document Orientation CheckDetects rotation, skew, and orientation issues in scanned documents

Category 2: Signature Verification

12 checks — Analyzes signature authenticity, stroke patterns, and pen characteristics

12

#19Signature Presence DetectionDetects if a signature region exists in expected document areas

#20Signature Region ExtractionIsolates the signature area for detailed analysis

#21Signature Stroke AnalysisAnalyzes stroke width consistency and natural hand movement patterns

#22Signature Consistency CheckMeasures stroke width coefficient of variation — inconsistency suggests tracing or copy

#23Pen Pressure AnalysisExamines ink intensity variation — real signatures show natural pressure changes

#24Signature Speed IndicatorsDetects signs of slow, deliberate drawing vs natural fast writing

#25Tremor DetectionIdentifies unnatural hand tremor patterns that indicate forgery

#26Pen Lift AnalysisCounts pen lift points — forged signatures often have more lifts than natural ones

#27Signature Size VerificationValidates signature dimensions are proportional to document size

#28Signature Position VerificationChecks if signature appears in the expected location for the document type

#29Ink Color AnalysisDetermines ink color (blue, black, other) and checks consistency

#30Digital vs Handwritten DetectionDistinguishes between digital (typed/pasted) and genuine handwritten signatures

Category 3: Metadata Analysis

18 checks — Inspects file creation dates, edit history, software info, and hidden data

18

#31File Creation Date VerificationChecks if creation date metadata exists and is reasonable

#32File Modification Date VerificationDetects modification dates — a date after creation indicates editing

#33Author Information CheckExamines author metadata — mismatched or missing author info is flagged

#34Software Information CheckIdentifies creation software — flags PDF editors (iText, PDFtk, Foxit, etc.)

#35PDF Version VerificationChecks PDF version compatibility — mismatched versions indicate re-processing

#36Embedded Fonts CheckExtracts all font families — salary slips with 7+ fonts = strong tampering indicator

#37Image Resolution MetadataChecks DPI and resolution from EXIF data

#38Color Profile VerificationExamines ICC color profile — presence indicates professional creation

#39Compression AnalysisIdentifies compression methods (zlib, JPEG, JBIG2) — mixed compression is suspicious

#40Embedded Objects DetectionDetects JavaScript, auto-launch actions, and suspicious embedded objects

#41XMP Metadata AnalysisExamines XMP metadata block for editing traces

#42Document ID VerificationChecks for PDF document ID — missing ID may indicate reconstruction

#43Print History CheckAnalyzes print-related metadata for document history

#44Edit History AnalysisDeep PDF structure: %%EOF markers, xref tables, startxref pointers, white overlays, editor signatures, Creator/Producer mismatch

#45Encryption Status CheckDetects PDF encryption and password protection

#46Digital Certificate CheckChecks for digital signatures and certificates in the document

#47Timestamp VerificationVerifies embedded timestamps are present and consistent

#48File Size ConsistencyChecks if file size is consistent with content — too small or too large is suspicious

Category 4: Image Forensics

16 checks — Pixel-level manipulation detection using forensic analysis techniques

16

#49Error Level Analysis (ELA)Recompresses at 90% quality and compares — edited regions show different error levels

#50Copy-Move DetectionORB keypoint matching detects duplicated regions within the same document

#51Noise Pattern AnalysisBlock-wise noise variance — manipulated regions have inconsistent noise patterns

#52JPEG Artifact AnalysisAnalyzes 8x8 block boundary artifacts — double compression reveals editing

#53Splicing DetectionCompares color histograms across quadrants — pasted regions have different distributions

#54Clone DetectionBlock-hash based detection of repeated patterns — flags suspicious cloning

#55Resampling DetectionDetects periodic patterns from scaling/rotation — indicates image manipulation

#56Double JPEG CompressionDetects signs of JPEG being saved twice — common in edited images

#57Lighting ConsistencyAnalyzes light source direction across the image — inconsistency = compositing

#58Shadow ConsistencyChecks shadow directions match across all objects in the image

#59Perspective AnalysisValidates geometric perspective is consistent — spliced elements break perspective

#60Edge Inconsistency DetectionDetects unnatural edge transitions between regions

#61Histogram AnalysisChecks for gaps, spikes, and unnatural histogram patterns indicating manipulation

#62DCT AnalysisDiscrete Cosine Transform analysis for frequency-domain manipulation traces

#63Chromatic Aberration CheckReal cameras produce aberration — perfect alignment suggests synthetic creation

#64Font Forensics AnalysisStroke width variation, kerning analysis, and edge profile comparison across text

Category 5: Content Verification

18 checks — Validates text, numbers, dates, calculations, and cross-field consistency

18

#65OCR Text ExtractionMulti-language OCR (English + Hindi) with artifact detection and quality scoring

#66Text Clarity AssessmentValidates word lengths, special character ratios, and OCR quality metrics

#67Language DetectionDetects Hindi (Devanagari), English, and other languages present

#68Name Format ValidationExtracts and validates name fields with document-type-specific patterns

#69Date Format ValidationValidates DD/MM/YYYY, DDMMYYYY, Month YYYY, and educational date formats

#70Address Format ValidationChecks address indicators, PIN codes, and address structure

#71ID Number ValidationAadhaar (Verhoeff checksum), PAN (entity type), Passport (type code), DL (state code), Voter ID

#72Numeric Data ValidationExtracts and validates all numeric data in the document

#73Mathematical VerificationSalary: Gross = Basic+HRA+DA, Net = Gross-Deductions, PF ~12% of Basic. Catches edited amounts.

#74Cross-field ConsistencyDOB vs Age, Issue vs Expiry dates, employee name/ID consistency, amount formatting

#75Required Fields CheckDocument-type-specific required fields — Aadhaar: name, DOB, address, UID

#76Data CompletenessMeasures overall data density — counts numbers, dates, names vs expected for doc type

#77Spelling/Grammar CheckDetects repeated characters and suspicious word patterns

#78Document Number FormatValidates reference numbers, document numbers, and serial numbers

#79Currency Format ValidationValidates Rs., INR, ₹ amount formats and non-negative values

#80Phone Number ValidationValidates +91, 10-digit mobile, landline with STD codes

#81Document Expiry/Validity CheckChecks expiry dates for passports, driving licenses — flags expired documents

#82Transaction Pattern AnalysisBenford's Law analysis on financial amounts — detects fabricated numbers and round-number anomalies

Category 6: Security Features

14 checks — Verifies watermarks, QR codes, holograms, stamps, and security elements

14

#83Watermark DetectionDetects embedded watermarks in document images

#84Watermark AuthenticityValidates detected watermark matches expected patterns for the document type

#85QR Code DetectionScans for QR codes using pyzbar — critical for Aadhaar verification

#86QR Content ValidationDecodes and validates QR code contents against document data

#87Barcode DetectionDetects and reads barcodes present in the document

#88Hologram Region DetectionIdentifies holographic regions on ID cards using color saturation analysis

#89Security Thread DetectionDetects security threads in bank notes and secure documents

#90Microprint DetectionChecks for microprint text patterns that are present in secure documents

#91UV Feature IndicatorsChecks for UV-reactive feature indicators in document metadata

#92Embossing DetectionDetects embossed text or seals using edge and shadow analysis

#93QR Crypto VerificationValidates cryptographic signature in Aadhaar QR — the strongest Aadhaar check

#94Stamp Paper VerificationValidates stamp paper for property and legal documents

#95Court Stamp/Seal CheckVerifies court stamps and official seals on legal documents

#96Barcode ValidationValidates decoded barcode data against document content

Category 7: Database Verification

18 checks — Cross-references against government and institutional databases

18

#97DigiLocker IntegrationValidates document against DigiLocker issued documents (requires credentials)

#98DigiLocker MatchCompares document data with DigiLocker records

#99Aadhaar Database CheckValidates Aadhaar number format and Verhoeff checksum algorithm

#100Aadhaar ConsistencyCross-checks Aadhaar details across multiple submitted documents

#101PAN Database CheckValidates PAN format, entity type code, and issuing authority

#102PAN-Aadhaar LinkageVerifies PAN-Aadhaar linking status compliance

#103Educational DatabaseCross-references with university and board databases

#104University VerificationValidates university/institution name against known institutions

#105Employment DatabaseVerifies employer details from submitted employment documents

#106Professional LicenseValidates professional license numbers and issuing bodies

#107Property RecordsCross-references property documents with land registry records

#108Vehicle RegistrationValidates vehicle registration details from driving documents

#109Bank Account CheckValidates bank account details format and branch codes

#110Legal RecordsCross-references with court and legal records databases

#111Blacklist CheckChecks against known fraud/blacklist databases

#112Historical RecordsCompares against historical verification records for the same entity

#113Electoral RollValidates Voter ID against electoral roll data

#114MCA Employer VerificationVerifies employer CIN number against Ministry of Corporate Affairs database

Category 8: AI/ML Detection

10 checks — Neural network and machine learning analysis for forgery detection

10

#115CNN-Based Forgery DetectionTexture, edge density, and noise uniformity analysis — document-type-aware thresholds

#116GAN-Generated DetectionFrequency domain analysis to detect GAN-generated symmetric artifacts

#117Deepfake DetectionHSV saturation and local color consistency analysis for photo manipulation

#118Template MatchingStructural feature extraction — aspect ratio, content distribution, document structure

#119Anomaly DetectionStatistical outlier detection across image blocks — flags anomalous regions

#120Document ClassificationClassifies document as landscape, text-heavy, image-based, or mixed content

#121Similarity AnalysisPerceptual hash fingerprint — compares against known document patterns

#122Neural Network VerificationMulti-scale Laplacian analysis for consistency across image scales

#123ML Confidence AssessmentAggregates quality, consistency, and edge coherence scores — weighted by document type

#124AI-Generated Document Detection6-signal engine: frequency spectrum, noise residual, color correlation, LBP texture, JPEG artifacts, PDF metadata

Category 9: Audit & Compliance

10 checks — File integrity, hashing, chain of custody, and compliance verification

10

#125SHA-256 Hash GenerationGenerates unique SHA-256 fingerprint for tamper-proof document identification

#126MD5 Hash GenerationSecondary hash for legacy compatibility and quick comparison

#127File Integrity CheckValidates file structure is internally consistent and uncorrupted

#128Chain of CustodyTracks document from upload through verification — hash, timestamp, file size

#129Timestamp AuthenticationVerifies embedded timestamps exist and are consistent

#130Version ControlTracks document versions and modification history

#131Access Log GenerationCreates audit log of who accessed and verified the document

#132Compliance CheckValidates document meets regulatory requirements for its type

#133Report Generation CapabilityVerifies the system can produce a comprehensive verification report

#134Audit Trail CompletenessValidates all verification steps are logged with timestamps

Category 10: Document Liveness Detection

5 checks — Distinguishes between original scans and photographs of screens/printouts

5

#135Moire Pattern DetectionDetects moire patterns that appear when photographing screens or printed documents

#136Print Artifact AnalysisIdentifies printer-specific artifacts — dot patterns, banding, streaking

#1373D Depth Cue AnalysisDetects depth cues from paper curvature or surface texture

#138Presentation Attack DetectionIdentifies if the document is a photo of a photo, screen capture, or printout copy

#139Presentation Attack ScoreOverall liveness score combining all presentation attack indicators

Category 11: Biometric Verification

5 checks — Face detection, quality assessment, and photo analysis on ID documents

5

#140Face Detection & ExtractionHaar cascade face detection on ID documents — extracts photo region

#141Face Quality AssessmentChecks face sharpness, angle, lighting — flags blurry or angled photos

#142Age EstimationEstimates apparent age from photo and cross-checks with DOB on document

#143Facial LivenessDetects if the face photo is genuine or a printed/screen copy

#144Face-to-Selfie MatchingCompares document photo with live selfie capture (requires integration)

142 AI Forensic Checks
Explained in Detail

All 142 checks, by category

Category 1: Visual & Layout Analysis

Category 2: Signature Verification

Category 3: Metadata Analysis

Category 4: Image Forensics

Category 5: Content Verification

Category 6: Security Features

Category 7: Database Verification

Category 8: AI/ML Detection

Category 9: Audit & Compliance

Category 10: Document Liveness Detection

Category 11: Biometric Verification

142 Checks. 11 Categories. Under 2 Minutes.

Ready to Detect Document Fraud?

142 AI Forensic ChecksExplained in Detail

All 142 checks, by category

Category 1: Visual & Layout Analysis

Category 2: Signature Verification

Category 3: Metadata Analysis

Category 4: Image Forensics

Category 5: Content Verification

Category 6: Security Features

Category 7: Database Verification

Category 8: AI/ML Detection

Category 9: Audit & Compliance

Category 10: Document Liveness Detection

Category 11: Biometric Verification

142 Checks. 11 Categories. Under 2 Minutes.

Ready to Detect Document Fraud?

142 AI Forensic Checks
Explained in Detail