HandAuth Pro assists forensic experts, legal professionals, and financial institutions in analyzing handwritten signatures and identifying structural inconsistencies using advanced handwriting comparison technology.
Designed to support expert evaluation — not replace it.
Save time and resources at the initial stage — quickly assess whether a signature warrants further professional investigation.
HandAuth Pro is delivered exclusively as an API — there is no standalone user interface. The engine is built to be embedded directly into your existing systems.
There is no standalone interface — HandAuth Pro operates exclusively through its API, designed to be embedded into case management platforms, document verification pipelines, KYC workflows, and internal legal or financial tools.
API endpoints and authentication credentials are provisioned individually for each client, tailored to your integration needs and expected volume.
Our team works directly with your engineering team to define the request/response structure, supported file formats, and expected throughput.
We help save time and money at the very first stage of verification — before you decide whether to engage a certified forensic specialist.
Quick first-pass check before investing in a full expert examination. Helps prioritise which cases warrant certified forensic review.
Early detection of obvious red flags in signatures before proceeding with high-value transactions or document authentication.
Preliminary screening of signed internal documents and contracts to flag items that may require closer human review.
Help understand whether a suspicious signature is worth pursuing through professional forensic investigation.
An orientational probability score to help you quickly gauge whether a signature shows early warning signs — not a definitive expert verdict.
Detection of obvious non-handwritten artifacts such as printed text, screen captures, and likely synthetic generation — basic red-flag indicators.
An easy-to-read visual summary to help you understand the situation at a glance and decide on next steps — for internal use only.
Support for uploading several reference signatures to improve the preliminary comparison and reduce obvious false positives in triage.
A structured four-step process designed to integrate into professional handwriting examination workflows.
A handwriting sample or document image is submitted to the system. No files are stored on external servers — the workflow remains within the operator's controlled environment.
The software extracts key handwriting characteristics: stroke structure, letter formation, proportions, spacing, pen-lift points, and baseline alignment.
Advanced comparison algorithms analyze structural similarities and deviations between the submitted sample and reference material, identifying pattern inconsistencies.
The system generates a structured report containing analytical indicators and a probability score — designed to assist expert interpretation, not to replace it.
HandAuth Pro examines multiple dimensions of handwriting structure to support thorough comparative assessment.
Examines the structure, continuity, and directionality of handwriting strokes, identifying inconsistencies that may indicate uncharacteristic formation patterns.
Analyzes how individual letters and character shapes are constructed, including connection patterns, loop dimensions, and relative proportions.
Evaluates inter-letter and inter-word spacing, writing zone proportions, baseline behavior, and overall layout consistency across comparison samples.
Compares structural patterns, pen-movement sequences, and design elements across multiple signature samples to assess consistency or detect deviations.
Highlights areas of similarity and deviation between handwriting samples, providing quantified indicators that support expert review and documentation.
Detects obvious non-handwritten artifacts such as printed overlays, digital reproductions, and synthetic generation patterns — flagging items for professional review.
HandAuth Pro is designed for professional environments where handwriting comparison accuracy and workflow reliability are essential.
Handwriting comparison support for court cases, forensic examination reports, and disputed document matters. Assists in preparing materials for certified expert review.
Preliminary verification of signatures on financial documents, authorization forms, and contracts. Supports risk triage before escalation to certified specialists.
Detection of potentially fraudulent signatures in claim documentation and policy paperwork. Identifies materials that warrant escalation to forensic document examination.
Verification of handwritten declarations, signed instruments, and identity documents. Supports compliance workflows in regulatory and administrative contexts.
Preliminary screening in internal investigations involving suspected document manipulation, counterfeit authorizations, or contested signature attribution.
Automates routine preliminary screening tasks, freeing qualified examiners to focus their expertise on cases requiring detailed human analysis and certified reporting.
HandAuth Pro is developed with the requirements of forensic, legal, and financial professionals in mind.
Developed based on established principles used in forensic handwriting examination and professional document analysis practice.
Designed to support professional document examiners by automating repetitive preliminary tasks — not to override expert judgment.
Suitable for integration into legal, investigative, and compliance workflows where documented analysis trails and auditability are required.
Supports analysis of individual signatures and broader handwriting samples, including multi-page handwritten documents.
For on-premises deployments, the system does not transmit or store submitted materials on external servers. For API/cloud deployments, infrastructure is hosted in the United States. Suitable for confidential and sensitive document environments.
API integration available for enterprise systems including document management platforms, DMS/CRM environments, and institutional verification pipelines.
The interactive charts below illustrate the types of indicative signals our automated screening may detect. These are orientational summaries — not expert findings.
A brief educational note on how automated tools, cryptographic methods, and traditional handwriting examination differ — and why human expert review remains essential.
Overview of digital signatures, hashing, and the limits of automated screening vs. classical forensic examination.
Digital signatures and secure hashing can verify that a digital file has not been altered since it was created, and can anchor a scan of a handwritten sample to an auditable record. Automated AI screening, like HandAuth Pro, looks for broad statistical patterns and obvious artifacts. However, classical forensic examination by a qualified document examiner goes much further — evaluating stroke order, pen pressure, rhythm, tremor, and microscopic characteristics that automated tools cannot reliably assess. For reports and internal records, HandAuth Pro can produce a signed manifest recording the image hash and basic metadata. This supports file integrity checking, but it is not equivalent to a certified forensic opinion.
For workflows involving electronically signed PDFs, HandAuth Pro also performs digital signature validation: certificate chain validation, OCSP/CRL revocation checking, and PAdES conformance level detection. This is separate from the handwriting-comparison analysis described above and applies specifically to electronic/digital signatures embedded in PDF documents.
HandAuth Pro is designed for integration into your existing systems via API — rather than delivered as a standalone application. Contact us to discuss technical feasibility, requirements and timelines.
⚠ This is general educational background only — not legal advice, and not a substitute for professional forensic examination. For legally binding procedures, always consult a qualified forensic document examiner and appropriate legal professionals.
General educational information about signature screening, what automated tools can and cannot detect, and when to seek a certified forensic document examiner. None of the following constitutes legal advice or an expert conclusion.
Improving sample quality for preliminary screening.
Providing clear, consistent reference signature images improves the quality of any preliminary automated check. Capture flat, well-lit scans with no shadows, note any variation in signing conditions, and avoid cropping away pen strokes. Better input leads to more meaningful preliminary signals — but quality references do not make automated output equivalent to a certified expert opinion.
What orientational probability outputs mean — and what they don't.
Automated screening scores are orientational only. A low-risk score does not confirm authenticity; a high-risk score does not prove forgery. Scores indicate which cases may warrant closer attention and professional review. Always treat automated outputs as triage signals, never as conclusions. Any case with legal significance should be referred to a certified forensic document examiner.
Indicators, visualisations, and important caveats.
Automated AI screening can flag obvious non-handwritten artifacts (prints, screen captures, synthetic patterns) and broad statistical anomalies. However, subtle skilled forgeries, disguised handwriting, and many borderline cases require experienced human judgment. Visualisations and heuristic scores are educational aids — they do not constitute forensic analysis.
Understanding when preliminary screening is not enough.
You should always engage a certified forensic document examiner when: the matter involves legal proceedings, contracts, inheritance, fraud allegations, or regulatory compliance; when preliminary screening returns borderline or suspicious results; or when the consequences of an error are significant. Preliminary AI tools like HandAuth Pro are a starting point, not a final answer.
Better inputs, more reliable early signals.
Clear, high-resolution scans help reduce false positives in automated screening. Blurry, low-contrast, or heavily compressed images limit what any algorithm can detect. Improving capture quality gives you more meaningful preliminary signals — while remembering that even perfect images cannot make automated output equivalent to certified expert analysis.
Key takeaway from all of the above.
Preliminary AI screening is a valuable first step that can save time and money by flagging cases worth closer investigation. However, it has real limitations: automated tools cannot reliably assess subtle skilled forgeries, cannot consider context, and cannot produce court-admissible findings. Always supplement preliminary screening with professional human review for any matter that carries legal, financial, or reputational risk.
Common questions from legal, forensic, and financial professionals considering HandAuth Pro.
See how HandAuth Pro supports professional handwriting comparison and document examination. We will walk you through the system's capabilities and discuss how it can fit your specific workflow.
Describe your situation briefly and attach or reference your signature files. We will provide a preliminary overview to help you decide on next steps.