GITNUXSOFTWARE ADVICE
Technology Digital MediaTop 10 Best Monitor Capture Software of 2026
Top 10 Monitor Capture Software ranked for screen recording and capture workflows, with technical comparisons for OBS Studio, ShareX, and Riverside.
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.
OBS Studio
Scene graph with compositing filters for window and display capture source mixing
Built for fits when teams need local monitor capture automation with reproducible scenes and scripted control..
ShareX
Editor pickConfigurable task pipeline that routes captured files into destinations and optional post-processing steps.
Built for fits when teams need configurable capture automation on endpoint workstations without centralized policy controls..
Riverside
Editor pickSession-as-project model that keeps monitor-capture outputs tied to a controlled export pipeline.
Built for fits when teams need scripted capture-to-asset workflows with governance controls and consistent exports..
Related reading
Comparison Table
The comparison table maps Monitor Capture Software tools by integration depth, data model, and automation and API surface. It also highlights admin and governance controls such as provisioning, RBAC, and audit log coverage, plus extensibility through configuration and sandboxing options. Readers can use these dimensions to assess how each tool fits into existing capture, workflow, and security requirements.
OBS Studio
open-source desktopOpen-source screen capture and video streaming software that records multi-source desktop scenes with configurable encoders.
Scene graph with compositing filters for window and display capture source mixing
OBS Studio can capture specific windows or full displays, and it can route audio and video from those captures into a single render graph. Scenes group sources and per-source filters, including transforms and color effects, so governance-friendly configurations can be treated as durable state. Through its extensibility points and scripting hooks, capture behavior can be driven by external automation rather than manual editor steps. This depth supports integration breadth when monitor capture must mix overlays, browser sources, and media elements.
A key tradeoff is that OBS Studio does not provide centralized RBAC or built-in admin audit logs for multi-operator governance. Scenes and settings files work well for single-user hosts or small teams that can manage configuration distribution, but they require external process control for larger organizations. It fits best when a workstation owner needs deterministic monitor capture configurations that can be switched quickly between window targets and streaming endpoints.
- +Window and display capture supports scene-based reuse and consistent filter chains
- +Scripting and plugins enable automation of source changes and capture pipelines
- +Text-based configuration supports versioned provisioning of scenes and settings
- +Encoder configuration allows control over throughput and output formats
- –No native RBAC or audit log for multi-user admin governance
- –Automation depends on external scripting and local configuration distribution
- –High scene complexity can increase troubleshooting effort when outputs fail
Video production and live operations teams
Standardizing monitor overlays for live demos that switch between specific application windows
Reduced variance in demo visuals and faster scene switching during live segments.
Security analysts and SOC engineers running local investigations
Recording deterministic screen evidence while annotating with overlays during triage
Repeatable evidence capture with controlled window scope and consistent framing.
Show 2 more scenarios
Accessibility and QA engineers performing reproducible UI walkthroughs
Generating test recordings that compose application content with narration overlays
More consistent walkthrough videos that align with scripted QA steps.
OBS Studio can combine monitor capture sources, browser sources, and media into a single scene. Configuration can be provisioned by managing scene JSON-style definitions and settings state across machines.
Engineering studios and technical trainers
Producing capture-driven training sessions with templated scenes and custom plugins
Faster production cycles for new lessons using a shared, versioned capture template.
Scenes and sources act as a data model for repeatable lesson templates. Extensibility supports additional capture and rendering behaviors that can be orchestrated by automation scripts.
Best for: Fits when teams need local monitor capture automation with reproducible scenes and scripted control.
More related reading
ShareX
free WindowsFree Windows screen capture recorder that supports region capture, scheduled recording, and automated uploads to destinations.
Configurable task pipeline that routes captured files into destinations and optional post-processing steps.
ShareX provides capture formats for both still images and screen recordings, with region selection, cursor inclusion options, and hotkey-driven triggers for consistent throughput. Configuration covers output paths, naming templates, and destination targets such as local folders and common sharing services, so captured artifacts follow a predictable schema at the file level. Automation expands through external command execution and scripting hooks, which helps connect captures to review pipelines and ticket attachments.
A key tradeoff is that ShareX governance is mostly local to the installed client, since there is no built-in centralized RBAC or enterprise policy engine tied to a shared data model. It fits situations where small teams want repeatable capture automation on managed endpoints or on developer workstations, and where administrators can standardize configuration through image baselines.
- +Hotkey-driven capture with region selection for repeatable workflows
- +File naming templates enforce consistent artifact structure
- +Script and command hooks enable automation beyond built-in destinations
- +Supports both screenshots and screen recordings in one capture tool
- –No centralized RBAC or audit log for cross-user governance
- –Automation state is client-side, which complicates fleet standardization
QA and release engineering teams
Capturing defect evidence with region-scoped screenshots and short recordings during regression runs.
Faster triage because evidence files follow a consistent naming and routing pattern.
Support operations analysts
Recording user sessions for troubleshooting and attaching results to internal cases.
Higher defect reproducibility and fewer back-and-forth requests.
Show 2 more scenarios
Engineering teams running documentation review
Capturing UI screenshots and recording walkthroughs for change requests and PR documentation.
Reduced rework because documentation artifacts align to an expected file schema.
Capture templates control output paths and file naming, which supports a repeatable documentation structure. Automation can trigger post-processing steps before files are shared.
IT administrators managing endpoint workflows
Standardizing capture behavior across a controlled set of machines for helpdesk and incident response.
More consistent capture outputs across the fleet, with governance limited to client configuration.
Administrators can enforce configuration via endpoint baselines and scripted command execution patterns. Artifact governance relies on where files are written and how destination targets are configured on each client.
Best for: Fits when teams need configurable capture automation on endpoint workstations without centralized policy controls.
Riverside
cloud captureBrowser-based and app-based recording platform that captures screen and system audio for digital media production workflows.
Session-as-project model that keeps monitor-capture outputs tied to a controlled export pipeline.
Riverside’s data model treats each recording session as a project artifact with a controllable output pipeline, which helps when teams need repeatable deliverables. Monitor capture can be aligned to session recording so editors and QA can rely on the same artifact boundaries across runs. Integration depth is driven by an API surface that supports provisioning patterns and scripted export or post-processing workflows.
A tradeoff is that the capture workflow favors meeting and studio-style sessions over highly customized capture routing for multi-monitor, multi-source layouts. Riverside fits teams that need dependable capture throughput and later review decisions, such as marketing teams producing multiple iterations or agencies packaging client-facing updates.
- +API-friendly project lifecycle tied to consistent recording artifacts
- +Capture output structure supports repeatable review and edit pipelines
- +RBAC and audit-oriented governance support controlled collaboration
- –Monitor capture routing is less granular than custom NLE capture setups
- –Advanced multi-source layouts may require workflow standardization
Media teams and video ops in agencies
Producing multiple client review clips from monitor-capture sessions with consistent asset outputs
Faster turnaround from capture to reviewable assets with fewer manual handoffs.
Security and compliance teams at growing enterprises
Enforcing access control and traceability for screen-capture content stored as project artifacts
Reduced exposure from uncontrolled screen recordings and clearer audit trails.
Show 1 more scenario
Product and UX research teams
Capturing screen actions during usability sessions and reusing outputs for synthesis and documentation
More consistent evidence capture that speeds synthesis decisions.
Monitor capture outputs map to session artifacts that can be exported and archived for later analysis. Automation supports standardizing session naming, export handling, and documentation workflows.
Best for: Fits when teams need scripted capture-to-asset workflows with governance controls and consistent exports.
Loom
async screen videoScreen and camera recording SaaS that generates shareable video links from desktop apps and browser capture.
Admin-configurable team capture and sharing settings tied to RBAC and audit logging.
Loom turns screen capture into shareable videos with tight integrations across common workplace tools. The integration depth shows up in its capture workflow, link-based sharing, and admin-configurable settings for teams.
Loom’s automation surface relies on platform APIs and webhook-style event flows that support provisioning, monitoring, and lifecycle actions. Governance features cover RBAC and audit logging patterns used for review, compliance, and access control.
- +Deep integration with collaboration tools via link-based sharing
- +Capture workflow supports consistent formats and reusable templates
- +API supports automation for provisioning and media lifecycle actions
- +Admin controls include RBAC patterns and organization-level configuration
- –Automation coverage depends on available endpoints for governance workflows
- –Data model is video-centric, limiting fine-grained schema use
- –Throughput tuning for large capture volumes needs extra operational planning
- –Extensibility is constrained by what capture metadata the API exposes
Best for: Fits when teams need video capture integrated into existing collaboration and governed access.
Screencastify
browser captureBrowser-based screen recording and webcam capture with video export and share links for desktop workflows.
Browser extension capture controls for screen plus webcam with per-extension configuration.
Screencastify records screen and webcam for browser-based capture with exports that integrate into common sharing workflows. Its control surface centers on capture sessions, file handling, and browser extension configuration rather than a formal automation data model.
Integration depth comes mainly through Google Workspace alignment and admin configuration hooks available to manage users and policies. Automation and API surface are limited for programmatic provisioning and capture orchestration compared with tools that expose a defined schema and endpoints.
- +Browser extension capture for screen and webcam in standard recording flows
- +File export formats support direct sharing into existing collaboration patterns
- +Google Workspace alignment reduces friction for account-based workflows
- +Admin configuration can restrict access and recording behavior for users
- –Limited documented API surface for capture automation and orchestration
- –No clearly documented schema for recordings, sessions, and governance events
- –Automation options depend on extension workflows rather than event-driven hooks
- –RBAC and audit log granularity is not exposed like enterprise capture systems
Best for: Fits when teams need straightforward browser capture with light admin configuration.
Capto
macOS capturemacOS screen capture app with built-in trimming and export for recorded lessons and demos.
Deterministic capture event and asset schema generation for automated replay workflows.
Capto targets organizations that need monitor capture with strong integration depth for downstream tooling. It uses a capture-first data model that supports deterministic event and asset generation for storage, indexing, and replay workflows.
Automation is driven through configuration and an API surface that favors provisioning and programmatic orchestration over manual clicks. Admin controls focus on access boundaries with RBAC-style permissions and audit-friendly logging for governance.
- +API-centric automation supports programmatic capture and workflow orchestration
- +Capture data model maps cleanly to event and asset lifecycles
- +Extensibility points fit custom pipelines and downstream ingestion
- +Admin governance supports RBAC-style access scoping
- +Audit log artifacts support compliance-oriented monitoring workflows
- –Schema customization requires careful alignment across ingest and replay consumers
- –Throughput tuning depends on capture job configuration and storage strategy
- –Advanced integrations can demand stronger engineering ownership
- –UI configuration coverage may lag behind API capabilities for edge cases
Best for: Fits when teams need API-driven capture pipelines with governance and replayable artifacts.
TinyTake
capture + annotationScreen capture and annotation tool with region capture, quick edits, and sharing for recorded clips.
Configurable capture region and annotation pipeline to produce standardized review artifacts
TinyTake centers monitor capture around a browser-like recorder workflow with configurable capture regions and annotation output for fast sharing. Its integration depth is comparatively limited, with automation and extensibility mostly expressed through export artifacts and managed capture settings rather than a broad API-first data model.
Admin and governance features focus on account-level controls and capture destinations, but RBAC granularity and audit-log schema extensibility are not strong differentiators. For teams, it fits review and documentation flows that prioritize consistent capture configuration over deep system integration.
- +Region-based capture supports repeatable screenshots and short recordings
- +Annotation tools generate review-ready outputs with minimal postwork
- +Configurable capture destinations align with standardized sharing workflows
- –Automation surface offers limited documented API and schema extensibility
- –RBAC and audit log depth are not clear for governance-heavy deployments
- –Integration breadth across enterprise monitoring and workflow tools is constrained
Best for: Fits when teams need consistent capture and annotated outputs without deep API-driven automation.
RecordIt
lightweight captureWindows and macOS screen recording with a lightweight editor and output export controls.
API for capture and session asset automation with structured metadata for downstream tooling.
RecordIt targets monitor capture workflows with an automation-oriented data model and a documented integration surface. It records sessions into reusable assets for review, playback, and sharing across teams.
Admins can apply configuration to capture behavior and manage access with governance controls tied to account roles. The integration depth centers on API-based actions and event-driven automation that fit capture-to-review pipelines.
- +Session recording exports into review-ready artifacts with consistent metadata
- +API surface supports automation around capture, retrieval, and asset handling
- +RBAC-style access control supports role-based viewing and sharing
- +Configurable capture settings reduce operator-by-operator inconsistency
- –Admin configuration coverage is narrower than enterprise screen recording suites
- –Automation relies on API workflows that require custom integration effort
- –Extensibility paths are less transparent than tools with plugin ecosystems
Best for: Fits when teams need API-driven capture management with role-based access and audit-friendly workflows.
Krisp Capture
capture + transcriptionScreen capture for recorded sessions paired with transcription and search features for captured content.
Transcription event API ties utterances to capture session segments for downstream automation.
Krisp Capture records and streams captured meeting audio with on-device style controls for noise handling and transcription readiness. It connects capture output to downstream workflows through a documented API surface for transcription events and media handling.
The data model centers on utterance and segment metadata tied to a capture session, which supports automation and enrichment. Admin governance focuses on access controls, configuration management, and traceability through audit-oriented operational logs.
- +API supports transcription and segment events for workflow automation
- +Capture session data model links utterances to timing metadata
- +Configuration controls make environment setup repeatable
- +RBAC-style access separation for admin and operator roles
- –Limited detail on bulk export schema mapping for downstream systems
- –Automation granularity depends on event timing emitted by capture
- –Extensibility points focus on transcription flows more than media pipelines
- –Throughput tuning knobs are not exposed as fine-grained controls
Best for: Fits when teams need capture events and transcripts routed into automation with governed access.
Monosnap
screenshot + recordingScreenshot and screen recording utility with annotation tools and cloud sharing for clip review.
Instant share link generation from captures with built-in annotation.
Monosnap fits teams that need quick screen capture capture with tight sharing workflows for distributed reviews. It organizes captured media into a consistent data model of assets linked to project-like workspaces, which supports repeatable review cycles.
The automation and extensibility surface relies primarily on web and share flows rather than deep API-driven orchestration. Governance features are limited to account-level management patterns, with fewer controls exposed for enterprise RBAC, provisioning, and audit log retention.
- +Capture workflow focuses on fast start and minimal setup per session
- +Asset grouping keeps related captures organized for recurring reviews
- +Sharing links reduce friction for external stakeholders
- +Annotation tools add context without leaving the capture flow
- –API surface is not positioned for schema-first automation
- –RBAC and admin governance controls are less granular than enterprise capture suites
- –Automation options favor manual sharing over high-throughput pipelines
- –Extensibility relies more on sharing links than programmable events
Best for: Fits when teams need structured capture-and-share review cycles without code-heavy automation.
How to Choose the Right Monitor Capture Software
This buyer's guide covers monitor capture software tools including OBS Studio, ShareX, Riverside, Loom, Screencastify, Capto, TinyTake, RecordIt, Krisp Capture, and Monosnap.
The guide focuses on integration depth, the capture data model, automation and API surface, and admin and governance controls so selection decisions map to operational needs rather than capture UI preferences.
Monitor capture tools that produce repeatable assets and govern access
Monitor capture software records display or window content and exports it as assets such as videos, images, or structured session artifacts for review, routing, and downstream processing.
These tools solve operator inconsistency and artifact chaos by enforcing repeatable capture configurations and by connecting capture output to automation flows, either via local task engines like ShareX or via API-driven lifecycle models like Riverside.
Teams typically include product and engineering reviewers, support and QA teams, compliance-adjacent workflows, and media teams that need consistent capture artifacts with traceable access patterns.
Evaluation criteria that map capture workflows to automation and governance
Integration depth determines whether capture configuration and output can plug into existing systems for provisioning, routing, and lifecycle actions instead of relying on manual link sharing.
Automation and API surface matter because capture orchestration often needs deterministic triggers, structured metadata, and repeatable job configuration across many operators and endpoints.
Schema-first capture data model for assets and sessions
Tools with a structured data model make outputs predictable for indexing, replay, and analytics. Capto generates deterministic capture event and asset schema that supports automated replay workflows, while Riverside uses a session-as-project model that ties monitor-capture outputs to consistent export artifacts.
Documented automation and API surface for capture orchestration
A real automation surface enables programmatic capture setup, retrieval, and downstream routing. RecordIt exposes an API for capture and session asset automation with structured metadata, and Krisp Capture ties capture session utterances to segment timing metadata through a documented event API for workflow automation.
Integration depth for routing and lifecycle actions
Integration depth shows up in how tools send captured artifacts to targets and how admins configure team behaviors. ShareX implements a configurable task pipeline that routes captured files into destinations with optional post-processing, while Loom supports admin-configurable team capture and sharing settings tied to RBAC and audit logging patterns.
Admin governance controls for RBAC and audit-oriented traceability
Governance controls must include role separation and an audit trail that supports compliance monitoring. Loom provides organization-level governance with RBAC and audit logging patterns, and Riverside supports RBAC and audit visibility tied to account activity.
Deterministic configuration and provisioning workflows
Deterministic configuration reduces operator drift and helps standardize multi-step capture pipelines. OBS Studio supports text-based configuration and a scene graph with filters that stay consistent across runs, while ShareX uses file naming templates and capture task configuration to enforce consistent artifact structure.
Extensibility that fits automation needs instead of manual sharing
Extensibility should support automation hooks and programmable behaviors, not only UI workflow variations. OBS Studio relies on scripting and extensible plugins to automate source changes and capture pipelines, and Capto provides extensibility points that fit custom pipelines and downstream ingestion.
Pick a monitor capture tool by mapping capture state, automation, and governance to the target workflow
Start by defining what must be reproducible across runs. If capture state needs to be consistent across window and display sources, OBS Studio provides a scene graph with compositing filters and deterministic source mixing.
Then map automation and governance requirements to the tool’s actual API and admin controls. If structured session metadata must drive downstream workflows, Capto and RecordIt provide deterministic event and asset schemas, while Krisp Capture adds transcription-ready segment timing events.
Lock the target data model before choosing editors or share workflows
If downstream systems need deterministic schemas and replayable artifacts, Capto’s deterministic capture event and asset schema generation supports automated replay workflows. If the workflow needs consistent session packaging tied to export pipelines, Riverside’s session-as-project model keeps monitor capture outputs aligned with controlled export assets.
Confirm the automation path and whether it is event-driven or workflow-driven
For programmatic capture orchestration and asset handling, choose RecordIt for its API for capture and session asset automation with structured metadata. For capture outputs that must trigger transcription and enrichment, choose Krisp Capture because it emits utterance and segment events through a documented API.
Measure integration depth by artifact routing and lifecycle actions
If captured files must be routed into destinations with naming rules and post-processing steps, choose ShareX because its task pipeline routes captured files into destinations and optional post-processing. If media sharing must be governed at the organization level through admin-configurable team settings, choose Loom because its capture and sharing settings connect to RBAC and audit logging patterns.
Validate admin governance requirements for RBAC and audit log visibility
For multi-user environments that need governed access controls, choose Loom or Riverside because both support RBAC patterns and audit visibility tied to account activity or organization-level settings. Avoid tools that only provide account-level management without clear multi-user governance granularity, such as Monosnap and TinyTake.
Check how configuration travels across a team and how failures surface
For standardized capture pipelines across operators, choose OBS Studio because text-based configuration supports versioned provisioning of scenes and settings. For endpoint-focused automation without centralized policy enforcement, choose ShareX because automation state is client-side and standardization depends on distributing client configuration consistently.
Which teams should shortlist each monitor capture approach
Monitor capture needs split based on whether governance and automation are central or whether the primary requirement is consistent capture and share.
The best match depends on how capture outputs must become assets inside existing systems and how access controls must work for multi-user teams.
Teams standardizing complex multi-source captures with reproducible local configurations
OBS Studio fits teams that need multi-source monitor and window capture with a scene graph and compositing filters for deterministic source mixing. It also supports scripting and plugins plus text-based configuration for repeatable capture setups across runs.
Endpoint-first teams that need hotkeys and region capture with local task routing
ShareX fits teams that need configurable capture tasks that route screenshots and recordings into destinations with file naming templates and command hooks. It works best when centralized RBAC and audit log governance are not the primary deployment requirement.
Teams running governed capture-to-asset pipelines with RBAC and audit visibility
Riverside fits teams that need a session-as-project model that ties monitor capture outputs to consistent export assets while supporting RBAC and audit-oriented governance visibility. Loom fits teams that need admin-configurable team capture and sharing settings tied to RBAC and audit logging patterns.
Engineering and automation teams that need schema-driven events for downstream processing
RecordIt fits teams that need API-driven capture management and structured metadata for downstream tooling. Krisp Capture fits teams that need transcription event routing because it ties utterances to capture session segments with segment timing metadata through a documented API.
Teams focused on consistent annotation and review artifacts without deep orchestration
TinyTake fits teams that need configurable region capture and annotation outputs that produce standardized review artifacts. Monosnap fits teams that need structured asset grouping plus instant share link generation with built-in annotation for fast review cycles.
Where monitor capture selections fail in real deployments
Common failures come from choosing based on capture UI quality while ignoring governance, schema predictability, and automation triggers.
These pitfalls show up when a tool cannot express the required workflow as configuration, events, and access-controlled artifact generation.
Buying a tool with limited governance controls for a multi-user environment
Monosnap focuses on account-level management patterns and has fewer enterprise RBAC and provisioning controls, so it can struggle when fine-grained access separation is required. Loom and Riverside provide RBAC patterns and audit logging or audit visibility tied to account activity, which supports governed collaboration.
Assuming UI configuration equals deployable automation
Screencastify’s capture workflow centers on browser extension configuration and it provides limited documented API coverage for capture automation orchestration. ShareX can automate via local task pipelines and command hooks, but fleet standardization relies on distributing client-side automation state consistently.
Ignoring the capture data model and downstream schema expectations
Loom is video-centric and can limit fine-grained schema use for workflows that expect structured capture metadata beyond video outputs. Capto and RecordIt provide deterministic event or asset lifecycles with structured metadata that aligns with automated replay and downstream ingestion.
Choosing compositing flexibility without a troubleshooting plan for complex scene graphs
OBS Studio supports a scene graph with compositing filters for window and display capture source mixing, but high scene complexity increases troubleshooting effort when outputs fail. Standardizing scene graphs and using versioned text-based configuration reduces variance and helps isolate failures to specific scene or filter changes.
Relying on share links when workflow throughput and automation need event-driven ingestion
Monosnap and TinyTake prioritize sharing and review artifacts with less emphasis on schema-first API automation. RecordIt and Krisp Capture focus more on event-driven automation surfaces that fit capture-to-review pipelines and transcription enrichment.
How We Selected and Ranked These Tools
We evaluated OBS Studio, ShareX, Riverside, Loom, Screencastify, Capto, TinyTake, RecordIt, Krisp Capture, and Monosnap using feature coverage, ease of use, and value as the scoring categories, with features carrying the largest weight because capture automation and governance depend on concrete capabilities.
We rated each tool on how well its described capture data model supports repeatable assets, how much its automation and API surface enables programmatic orchestration, and how strongly its admin controls cover RBAC and audit-oriented traceability.
OBS Studio ranked highest because its scene graph with compositing filters and its text-based configuration support consistent capture pipelines across runs, which lifted its features strength and helped stabilize operational outcomes for scripted local monitor capture.
Frequently Asked Questions About Monitor Capture Software
Which monitor capture tools expose an API for programmatic capture control?
How do OBS Studio and ShareX differ when automation needs are driven by local configuration?
What tools support role-based access control and audit logging patterns for governed capture workflows?
Which monitor capture tools are better for capture-to-asset pipelines that preserve session structure?
Which tools integrate best with browser and collaboration workflows without building a custom automation layer?
How do capture output governance and storage control differ between endpoint-focused tools and account-governed tools?
Which tools support extensibility through configuration models rather than only manual post-processing?
What common failure mode occurs when capture region selection or window targeting is inconsistent, and which tools handle it better?
Which tools route captured content into transcription or segment-level automation workflows?
Conclusion
After evaluating 10 technology digital media, OBS Studio 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.
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