GITNUXSOFTWARE ADVICE
Technology Digital MediaTop 10 Best Id Card Scanning Software of 2026
Id Card Scanning Software comparison ranking top 10 tools for accuracy and fraud checks, including Onfido, Veriff, and GBG.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
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Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Onfido
Case-level API events link captured ID artifacts to verification decisions for audit-friendly automation.
Built for fits when mid-market teams need automated ID verification with governed APIs and audit trails..
Veriff
Editor pickVerification API plus webhooks deliver evidence-backed outcomes to downstream systems with auditable review context.
Built for fits when identity teams need API-driven ID checks plus auditable review workflows at scale..
GBG
Editor pickFraud and authenticity scoring paired with structured extracted fields for rule-based case outcomes via API.
Built for fits when regulated onboarding teams need API control, audit trails, and document risk signals across many channels..
Related reading
Comparison Table
This comparison table ranks top ID card scanning tools by accuracy for fraud checks and by the operational mechanics behind verification. It compares integration depth, the underlying data model and schema, automation with webhooks and API surface, and admin and governance controls such as RBAC and audit log coverage. Readers can map each vendor’s provisioning and extensibility approach to expected throughput and configuration needs.
Onfido
API-first identityProvides document capture for ID cards and identity checks with SDKs and APIs for fraud signals, data extraction, and automated verification workflow configuration.
Case-level API events link captured ID artifacts to verification decisions for audit-friendly automation.
Onfido supports end-to-end document verification flows from client-side capture through backend processing and review outcomes. Integration is built around an API surface that manages verification requests, retrieves case status, and returns structured results suitable for fraud checks and compliance workflows. The data model groups evidence artifacts into case entities and exposes machine-generated signals plus human review states when reviewers are enabled.
A concrete tradeoff is that deeper customization requires careful schema mapping for document types, fields, and downstream decision systems. Teams using Onfido typically need a governance approach to coordinate configuration changes, access control, and audit requirements across fraud, compliance, and engineering stakeholders.
- +API-first case management with structured verification outcomes
- +Fraud-oriented signals and review states tied to case entities
- +RBAC and audit logs support governed operations and change control
- +Extensible document workflows with configurable schema mappings
- –Schema mapping work is required for strict downstream data models
- –Higher operational overhead when combining automation with manual review
Fraud engineering teams
Automate ID risk scoring workflows
Lower manual review volume
Compliance operations
Maintain audit trails for checks
Stronger governance evidence
Show 2 more scenarios
Platform engineering teams
Provision verification flows via API
Faster integration throughput
Create cases and poll or receive status updates for capture and verification steps.
Customer onboarding teams
Standardize document verification checks
More consistent pass rates
Route ID evidence into consistent review outcomes for regulated onboarding journeys.
Best for: Fits when mid-market teams need automated ID verification with governed APIs and audit trails.
More related reading
Veriff
API-first identityOffers ID document capture and verification with API and SDK integrations, configurable fraud checks, and risk signals mapped into structured verification results.
Verification API plus webhooks deliver evidence-backed outcomes to downstream systems with auditable review context.
Veriff fits teams that need high-throughput ID capture with consistent fraud signals and an automation path from capture to decision. Evidence is retained per verification attempt so back office review teams can inspect the ID visuals and system signals. The integration surface includes API orchestration and event delivery via webhooks so downstream systems can trigger onboarding steps and case handling.
A tradeoff appears in the operational overhead around configuration and review governance, since verification accuracy and routing depend on correct flow setup and document coverage. Veriff works well when onboarding is already instrumented for automated checks and when operations teams need auditable review decisions tied to a structured outcome schema.
Extensibility is strongest when the integration can consume verification results into a document-driven workflow and when the team can manage exceptions via APIs and role-based access controls.
- +API and webhooks support automated onboarding decisioning
- +Structured verification outcomes and evidence per attempt
- +Configurable verification flows for document coverage
- +Admin governance with audit logging for review actions
- –Flow configuration complexity increases time-to-production
- –Review workflow routing requires clear operational ownership
KYC operations teams
Automate triage and review routing
Lower manual handling volume
Platform engineering teams
Trigger onboarding from verification events
Fewer onboarding dead ends
Show 2 more scenarios
Risk teams
Apply fraud checks consistently
More consistent fraud enforcement
Consumes structured decision signals to enforce document checks and flag risky attempts across flows.
Compliance and governance
Maintain decision traceability
Improved audit readiness
Uses audit log records tied to verification attempts to support internal controls and investigations.
Best for: Fits when identity teams need API-driven ID checks plus auditable review workflows at scale.
GBG
verification suiteDelivers identity verification and document validation capabilities with integration APIs for capturing ID data and applying fraud and quality checks in automated flows.
Fraud and authenticity scoring paired with structured extracted fields for rule-based case outcomes via API.
GBG’s card scanning flow is designed around a consistent data model that feeds verification decisions, including extracted fields, document attributes, and fraud or risk indicators. Integration depth is expressed through an automation and API surface that enables customer onboarding journeys to call capture and verification steps and then store results for case management. Admin and governance controls matter for teams running high throughput because configuration can standardize document checks and decision rules across channels.
A tradeoff appears in governance complexity, because tighter configuration and routing rules require careful schema alignment between GBG responses and internal case models. GBG fits best when an enterprise onboarding program needs API-based provisioning, RBAC for operations, and audit log evidence to support compliance and internal investigations.
- +API-driven orchestration for capture and verification workflows
- +Configurable document checks feed structured verification outcomes
- +Fraud and risk signals designed for automated decisioning
- +Audit-friendly outputs support governance and investigation trails
- –Schema mapping work is required for internal case models
- –Workflow configuration complexity increases for multi-channel use
Compliance and risk operations teams
Automate ID card checks with audit evidence
Fewer manual review escalations
Onboarding engineering teams
Integrate verification results into case systems
Faster end-to-end onboarding cycles
Show 2 more scenarios
Fraud prevention analysts
Detect tampered or mismatched documents
Higher confidence fraud decisions
Analysts evaluate fraud signals combined with image quality and document field extractions.
Branch network operations
Standardize scanning checks across locations
Consistent verification outcomes
Branch teams apply consistent configuration so decision rules match across devices and staff flows.
Best for: Fits when regulated onboarding teams need API control, audit trails, and document risk signals across many channels.
Jumio
fraud checksSupports digital ID verification with document capture and automated fraud checks via API and SDK, including configurable verification steps and structured outputs.
Jumio Document Verification API returns schema-based extraction plus validation and fraud signal outputs for automated decision workflows.
Jumio provides ID card scanning with an API-first integration path for identity checks across mobile and web capture. Document capture outputs a structured data model tied to image validation and fraud-relevant signals.
The automation surface includes configurable workflows such as capture, verification status, and decisioning callbacks delivered through webhooks or API calls. Admin control centers on access governance, auditability, and environment separation to support enterprise deployment patterns.
- +API-focused capture and verification integration across web and mobile
- +Structured output schema for document fields and validation results
- +Webhook and callback style automation for downstream risk decisions
- +Enterprise provisioning controls with RBAC and audit logging
- –Deep configuration requires clear mapping to an internal decision data model
- –High throughput tuning depends on capture latency and API batching design
- –Fraud checks deliver multiple signals that need consistent normalization
- –Workflow orchestration often needs custom glue code around APIs
Best for: Fits when enterprises need API-driven ID capture with configurable automation and governance controls.
Sumsub
verification automationOffers identity verification with ID document capture and verification checks through API-based workflows, with configurable rules and event-driven automation surfaces.
Webhook plus API event model for verification lifecycle updates with configurable rules tied to the verification schema.
Sumsub runs ID card capture workflows and card authenticity checks through a configurable verification data model. It supports SDK-driven capture, webhooks, and API endpoints for enrollment, document collection, and decisioning state updates.
Sumsub’s automation surface centers on rules, event callbacks, and status-driven orchestration for repeatable verification flows. Admin controls emphasize account governance, role-based access, and audit log availability to support operational compliance.
- +Deep API for enrollment, document submission, and status callbacks
- +Webhook-driven automation reduces polling for verification events
- +Configurable verification workflows support multi-document schemas
- +Admin governance includes RBAC and audit log visibility
- –Complex setup for matching data model fields to custom schemas
- –Throughput tuning needs careful capture configuration per document type
- –Decision workflow customization can require more integration work
- –Sandbox and test coverage may not mirror production capture conditions
Best for: Fits when teams need API-first ID capture automation with governance controls and extensible verification configuration.
Trulioo
verification APIsDelivers identity verification APIs with document-related checks and configurable verification logic, returning structured match and risk outcomes for downstream automation.
Trulioo Identity Verification API with configurable verification parameters that return structured verification results for decision automation.
Trulioo fits teams that need identity verification coverage across document types and geographies, then want results mapped into an internal decision system. It supports automated document and identity checks with API-based provisioning for verification workflows and extensibility for adding checks.
The data model centers on verification requests, returned results, and downstream decisioning fields that can be normalized into an internal schema. Governance is exercised through API-driven access controls, configuration of verification parameters, and audit-oriented operational logging patterns used in verification integrations.
- +API-first verification workflow that fits custom onboarding and decision engines
- +Broad document and identity coverage across multiple countries and ID types
- +Extensible configuration that supports adding checks into existing flows
- +Clear request and result objects that map to internal data models
- +Automation surface supports high-throughput identity verification patterns
- –Integration requires careful schema mapping for consistent fraud-check interpretation
- –Control granularity depends on available verification parameters and endpoints
- –Operational governance needs additional work to standardize audit events across tenants
- –Document outcome fields can be less uniform across geographies and document types
Best for: Fits when mid-size teams need API-driven ID checks with configurable verification steps and normalized result mapping.
Persona
workflow platformProvides identity verification workflows with document capture integrations and decisioning outputs, supporting API automation, governance controls, and audit-grade logging.
Verification workflow provisioning plus API events that keep ID scan results synchronized with case management.
Persona centers on workflow automation and identity data governance for ID verification flows, not just capture. It provides configurable verification steps, reusable form and document logic, and a data model that maps results to identity outcomes.
Persona supports integration depth through an API and event-driven updates, which helps connect ID capture, fraud checks, and downstream KYC decisions. Admin controls for roles and audit trails support operational governance across verification teams.
- +API-driven workflow orchestration for ID verification steps and state transitions
- +Configurable data model that maps ID checks to identity outcomes
- +Event and webhook surfaces that support automation after verification results
- +RBAC-style administration for access control across verification operations
- +Audit logging for review actions and verification outcomes
- –Schema changes can require careful coordination with API consumers
- –Automation depth depends on teams modeling verification states correctly
- –Throughput tuning can require integration work around capture and callbacks
Best for: Fits when teams need API automation and governed identity data from ID capture to KYC decisions.
Passbase
risk signalsDelivers identity verification and document checks with automation-focused integrations that return risk signals and verification outcomes for fraud detection.
API-driven verification sessions that return capture artifacts plus fraud-screening results for automated onboarding decisions.
Passbase targets identity verification workflows with a document capture and screening path designed for fraud checks. The system records capture artifacts and verification outcomes into a consistent data model that supports later decisioning and reporting.
Integration depth centers on API-based enrollment, session handling, and result retrieval so teams can wire document checks into existing onboarding and risk rules. Admin and governance focus on configuration controls and auditability patterns that work alongside RBAC for review access and operational oversight.
- +API-first enrollment and verification result retrieval for ID card capture flows
- +Consistent capture artifacts and verification outcomes for downstream decisioning
- +Fraud screening coverage tied to document capture sessions
- +Automation friendly configuration for onboarding routing and retry logic
- +Governance controls for review access and operational oversight
- +Extensibility through API and webhook-style orchestration patterns
- –Admin configuration can be intricate across verification and routing settings
- –Operational tuning is required to balance false rejects and fraud catch
- –Deeper analytics often require additional pipeline work
- –Complex multi-document flows need careful orchestration and state handling
Best for: Fits when teams need ID card capture tied to fraud checks and API-driven automation with governance controls.
Telesign
verification APIsOffers identity verification APIs with document-centric verification components and structured results used for automated compliance and fraud workflows.
ID verification API payloads combine extracted document fields with fraud-check outcomes for automated decisioning.
Telesign performs ID card capture and verification by integrating document data extraction with fraud checks used in identity workflows. Its API-centered design supports automation around onboarding events, verification outcomes, and downstream decisioning.
The data model and schema used for ID attributes are designed to travel through your systems and map to your own provisioning and risk rules. Admin and governance controls focus on access management, auditability, and operational monitoring for teams running high-throughput verification.
- +API-first ID verification workflow supports automation of onboarding decisions
- +Attribute data extraction maps into configurable schemas for downstream systems
- +Extensibility via API payloads supports custom fraud rule integration
- +Auditability and logs help operational governance for verification activity
- +RBAC-style access control supports separation between operators and admins
- –Document workflow configuration can require engineering to match internal data models
- –Throughput tuning depends on correct retry, idempotency, and queue design
- –Sandbox testing support requires careful alignment to production validation rules
- –Fraud-check transparency is limited to API fields rather than full analyst tooling
Best for: Fits when integration-heavy teams need API automation and governance controls for ID verification outcomes.
Sovren
AI document processingProvides AI-driven identity verification integrations that support document processing and structured outputs for automated decisioning and fraud checks.
Structured extraction with schema outputs designed to feed automated onboarding and identity verification workflows.
Sovren fits teams that need id card scanning outputs to flow into existing onboarding, KYC, and case management systems with a documented API. It focuses on turning captured identity documents into structured fields using a defined data model built for extraction, normalization, and matching.
Automation and extensibility are oriented around schema-driven results and configurable processing stages. Integration depth is primarily expressed through API-first provisioning, event-driven ingestion patterns, and controlled access to processing outputs.
- +API-first document extraction that returns structured identity fields for downstream systems
- +Schema-driven outputs reduce mapping work into case management and CRM records
- +Automation support through programmable workflows and configurable processing stages
- +Extensibility via parsing and normalization settings tied to extracted attributes
- –Higher engineering effort than GUI-first scanners when onboarding logic is custom
- –Fraud and risk signals depend on document quality and configured matching rules
- –Governance needs design work for RBAC boundaries around extraction outputs
- –Throughput tuning requires integration attention to request batching and retries
Best for: Fits when onboarding engineering teams need API-driven id card parsing with extensible schema and automation controls.
Frequently Asked Questions About Id Card Scanning Software
Which tools provide the deepest API and webhook integration for ID verification workflows?
How do SSO and access controls typically work across ID card scanning platforms?
What data model and schema outputs are available for downstream KYC systems?
Which platforms support end-to-end verification lifecycle updates via event-driven workflows?
How should teams handle data migration from an existing ID verification provider?
What admin controls are available for governing workflow configuration and review operations?
Which tools are best when fraud checks and authenticity scoring must be translated into deterministic rules?
What are the technical integration requirements for capture SDKs versus API-only document processing?
Which platforms support extensibility when document types, checks, or verification steps change over time?
Conclusion
After evaluating 10 technology digital media, Onfido stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
How to Choose the Right Id Card Scanning Software
This buyer's guide covers Id card scanning and identity document verification tools with API, SDK, automation events, and audit-ready governance. The guide compares Onfido, Veriff, GBG, Jumio, Sumsub, Trulioo, Persona, Passbase, Telesign, and Sovren.
Focus stays on integration depth, data model fit, automation and API surface, and admin and governance controls. Each tool is grounded in concrete review capabilities such as case-level events, webhook lifecycles, schema-driven extraction, and RBAC plus audit logs.
Identity document capture and verification platforms for scanning-to-decision workflows
Id card scanning software automates ID capture and turns images into structured document fields plus fraud and validation signals that feed onboarding or KYC decisioning. It also coordinates review steps and produces evidence-backed outcomes for downstream systems.
Tools like Onfido and Veriff show how this looks in practice through API-driven case management or verification evidence delivered via webhook events. GBG and Jumio illustrate the same pattern with schema-based extraction plus authenticity or validation outputs designed for automated decision workflows.
Evaluation criteria for scanning accuracy signals, fraud checks, and governed data flows
The core buying risk is not image capture alone. The right tool ties capture results to a data model that downstream systems can consume and to automation surfaces that keep workflows consistent.
Admin controls matter because verification pipelines create regulated artifacts. Onfido, Veriff, Jumio, Sumsub, and Persona show what governance looks like through RBAC-style access control plus audit logging around workflow actions and review events.
Case or attempt data model for verification outcomes and evidence
Onfido models verification as case records that link artifacts and fraud-oriented review states to structured outcomes. Veriff returns structured verification results plus evidence per attempt so downstream systems can persist the same fields every time.
Fraud and authenticity scoring tied to extracted fields
GBG pairs fraud and authenticity scoring with structured extracted fields so rule-based case outcomes can be computed via API. Jumio and Passbase similarly generate schema-based extraction plus validation or fraud-screening results designed for automated onboarding routing.
Automation via event-driven lifecycle updates and webhooks
Onfido uses case-level API events that connect captured ID artifacts to verification decisions for audit-friendly automation. Veriff and Sumsub emphasize webhook or event models that push verification lifecycle updates instead of relying on polling.
API and SDK integration surface for capture, status, and decisioning callbacks
Jumio provides an API-first document verification path that delivers extraction, validation, and fraud signal outputs through webhooks or callback style automation. Trulioo and Persona provide configurable verification parameters and API events so verification states remain synchronized with internal decision and case management systems.
Extensible schema mapping and normalization controls for internal systems
Multiple tools require schema mapping work when strict internal case models exist, including Onfido, GBG, and Jumio. Sovren addresses this with schema-driven extraction outputs designed to reduce mapping into onboarding and KYC records, and it uses configuration around parsing and normalization settings tied to extracted attributes.
Admin governance with RBAC-style access control and audit logging
Onfido, Veriff, Jumio, Sumsub, and Persona provide operational governance via role-based access and audit logs around workflow configuration and verification actions. These controls reduce change risk when multiple teams manage verification logic, routing, and review ownership.
Pick a tool by matching integration depth, data model ownership, and governance requirements
Start with where verification outcomes must land in internal systems. Then confirm that the tool’s verification data model aligns with that destination so schema mapping does not become a permanent engineering project.
Next map automation responsibilities to the tool’s API and event model. Onfido and Veriff fit teams that want evidence-backed outcomes pushed to downstream systems, while Persona and Sumsub fit teams that want state transitions and lifecycle callbacks tied to configurable verification workflows.
Define the target system of record for verification evidence
Choose where structured outcomes must be persisted, such as case management, onboarding, or KYC decisioning. Onfido uses case-level entities with fraud-oriented review states, while Veriff emphasizes evidence per attempt delivered through verification APIs and webhooks.
Validate that the tool’s data model matches the internal schema contract
If downstream systems require strict fields, plan for schema mapping work in tools like Onfido, GBG, and Jumio. If the goal is to reduce mapping via schema-driven extraction outputs, Sovren focuses on structured identity fields that feed onboarding and identity workflows.
Confirm the automation surface used for status transitions and decision callbacks
For event-driven automation, Onfido provides case-level API events that connect artifacts to verification decisions. For lifecycle updates, Veriff and Sumsub rely on webhooks and API event models that push status changes for downstream onboarding decisioning.
Select based on fraud check signals and how they connect to extracted document fields
When authenticity and match strength must drive rule-based decisions, GBG pairs fraud and authenticity scoring with structured extracted fields. When fraud-screening results must be tied to capture sessions for automated onboarding, Passbase centers on API-driven sessions returning capture artifacts and fraud-screening results.
Lock down governance boundaries before integrating workflow logic
Require RBAC-style access control and audit logging around workflow configuration and review actions. Onfido, Veriff, Jumio, and Persona provide governance controls that support separation between operators and admins and provide audit trails for investigation.
Stress-test throughput and retry behavior through capture and callback design
Throughput tuning depends on capture latency and how callbacks are handled, which is explicitly called out for Jumio and also impacts other API-callback flows like Sumsub. Integration work may be needed around API glue for orchestration in Jumio, while Sumsub requires careful setup for mapping verification fields into custom schemas.
Which teams fit each scanning and verification automation model
Different teams buy these tools for different control points. Some teams need case-level evidence and audit trails, while others need configurable verification parameters and normalized result mapping into internal decision engines.
The tool selection below maps each segment to the stated best_for fit and the concrete mechanisms used for automation and governance.
Mid-market teams building automated ID verification with governed APIs
Onfido fits this segment because it links captured ID artifacts to verification decisions through case-level API events and it includes RBAC plus audit logging around workflow configuration. GBG is a strong alternative when regulated onboarding requires fraud and authenticity scoring tied to extracted fields across many channels.
Identity teams scaling API-driven checks with auditable review workflows
Veriff fits because its verification API plus webhooks deliver evidence-backed outcomes with auditable review context. It also provides configurable verification flows and structured verification results per attempt for downstream automation.
Regulated onboarding programs needing multi-channel API control and audit trails
GBG fits because it pairs fraud and authenticity scoring with structured extracted fields and supports API-driven orchestration for capture, verification, and case routing. Jumio also fits when enterprise provisioning needs environment separation with RBAC and auditability for ID capture and verification steps.
Enterprise teams prioritizing API-first capture, callback automation, and provisioning controls
Jumio fits because it supports API-first ID capture with schema-based extraction plus validation and fraud signal outputs delivered via webhooks or callback style automation. Sumsub fits when webhook-driven lifecycle orchestration is needed and verification workflows must be configured through rules tied to a verification schema.
Mid-size or engineering-led teams that need configurable verification parameters and normalized mapping
Trulioo fits mid-size teams that need configurable verification parameters and structured verification results for decision automation. Persona fits teams that need workflow provisioning and API events that keep ID scan results synchronized with case management for governed KYC decisioning.
Where integrations fail when accuracy, automation, and governance are treated separately
Most failures come from treating capture as the whole product. These tools require correct schema mapping and deliberate event handling so verification states, fraud signals, and evidence remain consistent.
Governance gaps also appear when admin roles and audit trails are not designed early. The pitfalls below map directly to recurring cons such as schema mapping work, workflow configuration complexity, and custom glue code requirements.
Treating OCR extraction fields as a finished output without aligning the verification data model
Onfido, GBG, and Jumio can provide structured extracted fields, but strict downstream case models still require schema mapping work to keep verification decisions consistent. A corrective approach is to pick Sovren when schema-driven extraction outputs are intended to reduce mapping into onboarding and KYC records.
Ignoring workflow configuration complexity until engineering is already mid-integration
Veriff and GBG flag flow configuration complexity as a time-to-production risk because verification routing and rule setups must match operational ownership. A corrective approach is to define document types and routing ownership before wiring verification APIs and webhooks.
Building automation around polling instead of the tool’s lifecycle events
Jumio and Sumsub rely on webhook or callback style automation for verification status transitions and decision callbacks. A corrective approach is to implement event-driven handlers for verification lifecycle updates and idempotent processing, because retry and queue design are explicitly tied to throughput tuning for these tools.
Underestimating the governance work needed for RBAC boundaries and audit-ready evidence
Operational governance gaps appear when audit events and review access are not standardized across teams, which is noted for Sumsub and Persona integration patterns. A corrective approach is to ensure RBAC and audit logs are wired to workflow configuration actions and verification review actions early.
Assuming sandbox or test artifacts match production capture and fraud checks
Sumsub calls out that sandbox and test coverage may not mirror production capture conditions, which can cause false reject or fraud catch differences during go-live. A corrective approach is to validate idempotency, retry behavior, and capture configuration per document type using production-like flows.
How We Selected and Ranked These Tools
We evaluated Onfido, Veriff, GBG, Jumio, Sumsub, Trulioo, Persona, Passbase, Telesign, and Sovren across features that cover ID capture plus verification outcomes, across integration depth expressed through API, SDK, and event or webhook automation, and across operational ease expressed through configuration and governance mechanisms. Each tool received an overall score as a weighted average where features carried the most weight, with ease of use and value each accounting for the remainder.
Onfido separated itself by combining case-level API events that link captured ID artifacts to verification decisions with RBAC and audit logging around workflow configuration and actions, which directly improved both integration depth and operational governance control. That case-level evidence chain also supports automated, audit-friendly downstream decisioning, which raised the score most consistently in the features evaluation.
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