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Top 10 Best AI Halloween Photoshoot Generator of 2026
Ranked roundup of the ai halloween photoshoot generator tools with tests of Rawshot, NightCafe Creator, and Canva for photo-ready results.
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%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Rawshot
A Halloween-photoshoot-centric AI generation flow aimed at producing realistic seasonal images for direct use.
Built for creators and marketers who need photoreal Halloween photoshoot images quickly for seasonal content..
NightCafe Creator
Editor pickStyle and settings presets that standardize Halloween image outputs across reruns.
Built for fits when small teams need controlled Halloween image iteration without deep automation integration..
Canva
Editor pickMagic Edit and related generation tools for compositing and themed background replacement inside the editor.
Built for fits when marketing teams need fast, collaborative Halloween photo sets with consistent branding..
Related reading
Comparison Table
The comparison table maps AI Halloween photoshoot generator tools across integration depth, data model design, and automation with API surface. It also checks admin and governance controls such as RBAC, audit log coverage, and configuration options that affect provisioning, extensibility, and throughput. Readers can use these dimensions to compare platform fit, data schema alignment, and operational tradeoffs for their workflows.
Rawshot
AI image generation for themed photoshootsRawshot.ai generates realistic Halloween photoshoot images from your inputs using AI.
A Halloween-photoshoot-centric AI generation flow aimed at producing realistic seasonal images for direct use.
Rawshot.ai targets people who want quick, high-quality Halloween photoshoot images without complex editing workflows. The experience is centered on producing seasonal, photoreal output from prompts or creative inputs, making it a practical option for creators, marketers, and hobbyists. Its value is in reducing the time and effort required to go from an idea to publishable Halloween visuals.
A tradeoff is that results depend on the quality of your creative inputs, and you may need a few iterations to reach the exact look you want. A strong usage situation is when you’re preparing a Halloween post, flyer, or campaign asset on a tight timeline and need multiple themed variations quickly.
- +Halloween-focused generation geared toward photoshoot-style results
- +Fast path from concept to publishable images
- +Good for producing multiple themed variations for seasonal content
- –Fine-tuning the exact desired aesthetic may require several prompt/iteration cycles
- –Output consistency can vary with different input specificity
- –Less suitable if you need fully custom, production-grade editing controls
Social media creators
Generate Halloween photos for weekly posting
More consistent seasonal posts
Small business marketers
Produce Halloween promo visuals
Faster campaign asset creation
Show 2 more scenarios
Event organizers
Craft themed imagery for announcements
Higher attention to invites
Produce Halloween photoshoot-style images that help communicate event vibe across channels.
Content freelancers
Deliver seasonal creative in hours
Quicker client deliverables
Rapidly create client-ready Halloween visuals for proposals, posts, and campaign mockups.
Best for: Creators and marketers who need photoreal Halloween photoshoot images quickly for seasonal content.
More related reading
NightCafe Creator
image generationGenerates stylized Halloween photos and images using text-to-image and image-to-image workflows with per-job controls and exportable results.
Style and settings presets that standardize Halloween image outputs across reruns.
NightCafe Creator fits teams or creators that need fast iteration on Halloween concepts using prompts plus style and composition controls. Integration depth is limited by its automation surface, which is primarily built around account-based generation and project workflows rather than enterprise-grade orchestration. The data model centers on prompts, generation settings, and produced assets that can be reused for later reruns.
A tradeoff appears in governance and API-driven automation, since there is no clearly documented RBAC, audit log, or admin provisioning flow for multi-user teams. NightCafe Creator works best for small studios running repeatable seasonal shoots where one operator manages prompts and settings end to end.
- +Fast prompt iteration for Halloween scene variants
- +Reusable generation settings help maintain style consistency
- +Project-oriented workflow keeps assets grouped by shoot
- +Built-in tooling reduces manual editing steps
- –Automation and API surface is not designed for enterprise orchestration
- –Limited evidence of RBAC and audit log governance
- –Data model stays prompt-centric for asset management
- –Batch throughput controls are not exposed as admin configuration
Indie creators
Generate themed Halloween portrait series
Faster concept-to-series turnaround
Small photo studios
Weekly seasonal shoot iterations
More consistent client deliverables
Show 2 more scenarios
Marketing content teams
Rapid campaign asset generation
Higher asset variation volume
Generate multiple banner and thumbnail candidates from a single prompt direction and settings set.
Community moderators
Themed event image batches
Consistent event visuals
Standardize style through stored settings and produce batches for event announcements.
Best for: Fits when small teams need controlled Halloween image iteration without deep automation integration.
Canva
design with AICreates Halloween-themed photo edits and AI image outputs inside a design project model with templates, layers, and asset management.
Magic Edit and related generation tools for compositing and themed background replacement inside the editor.
Canva’s generator and photo editor features support Halloween photo concepts through image creation, style application, and compositing workflows. The data model centers on assets like images, text, and elements that can be layered and exported to common formats for consistent shoot deliverables. Team work happens inside shared projects with permissions, shared libraries, and brand kits that keep titles, fonts, and colors aligned. A key fit signal is how quickly a team can produce themed variations without building a custom render pipeline.
A tradeoff is that Canva’s automation and API surface is not designed for high-throughput batch generation or strict content governance workflows like a dedicated asset management system. This limitation shows up when an organization needs deterministic generation parameters, audit-grade traceability for every prompt, or sandboxed execution per tenant. Canva fits well when marketing teams need fast themed photo set creation, light templating, and collaborative review cycles. It also works when design ops wants consistent branding across multiple Halloween concepts without engineering effort.
- +Template-driven photo composition speeds Halloween set creation
- +Brand kits and shared assets keep typography and colors consistent
- +Collaborative projects support review workflows across teams
- +Layered editor enables subject isolation and background swaps
- –Automation and API integration are limited for batch generation pipelines
- –Prompt traceability and governance controls are not studio-grade
- –Generation reproducibility is weaker than parameterized render systems
Marketing designers
Create Halloween portraits with themed backdrops
More themed portraits per shoot
Brand teams
Enforce Halloween campaign brand consistency
Fewer off-brand deliverables
Show 2 more scenarios
Small studios
Deliver rapid photo variations
Quicker turnaround for edits
Use layered templates and exports to turn one shoot into multiple Halloween-ready deliverables.
Social media ops
Publish seasonal creatives from a single source
Consistent cadence across channels
Reuse project layouts and assets to produce platform-ready versions for each Halloween concept.
Best for: Fits when marketing teams need fast, collaborative Halloween photo sets with consistent branding.
Adobe Firefly
creative suite gen AIProduces Halloween image variants through generative fill and text-to-image style tools integrated into Adobe Creative workflows.
Prompt-driven generation with editing integration inside Adobe workflows for rapid Halloween shoot iterations.
Adobe Firefly is an image generation system from Adobe that supports prompt-based creation of Halloween photoshoot concepts inside Adobe’s creative ecosystem. Firefly generates scene images from text prompts and supports editing workflows in Adobe apps that connect generation to existing assets.
It also offers customization options through trained experiences and controlled outputs, which matters for repeatable holiday shoots. For an automation-driven Halloween photoshoot generator, the key differentiators are how well generation can plug into Adobe’s asset pipelines and how controllable the output is through configuration.
- +Text-to-image generation for Halloween photoshoot scene concepts
- +Tight integration with Adobe creative tools and asset workflows
- +Controlled output options support repeatable holiday series
- +Reusable prompts support consistent casting and setting across batches
- –Automation and API surface can be less direct than dedicated generator services
- –Style control can require iterative prompt tuning per subject
- –Governance features can be limited for org-wide provisioning and RBAC
- –Throughput and job scheduling controls are not as explicit as enterprise render farms
Best for: Fits when teams need Halloween images within Adobe-centric creative pipelines and asset review workflows.
Fotor
photo editorGenerates and edits Halloween images with AI tools that support prompt-driven creation and basic asset workflows for exports.
Background replacement and cutout editing to place generated subjects into Halloween scene compositions.
Fotor generates AI Halloween photoshoot images using a prompt-driven image workflow. Its editor supports layered composition features such as cutout, background replacement, and styling controls that help refine subject placement.
Output control relies on prompt text, style selection, and downstream edits in the same authoring surface. Integration depth is limited because the automation and API surface for the image generation workflow is not exposed as a documented programmable interface in this review scope.
- +Prompt-based generation with direct edit controls in one authoring workspace
- +Background replacement and cutout tools fit Halloween scenes needing compositing
- +Style and retouch controls reduce reshoots for recurring Halloween concepts
- +Batch-style workflows can speed variant creation for different prompts
- –No documented API surface in review scope for automation and provisioning
- –Automation controls are limited to UI actions without schema-based inputs
- –Role-based governance and audit log features are not documented here
- –Data model for assets and runs lacks exportable schema for integration
Best for: Fits when small teams need rapid Halloween AI variants without building automated pipelines.
Pika
AI video generationGenerates Halloween-style animated visuals from prompts and reference images with timeline controls for output sequences.
Prompt-based iterative generation for consistent Halloween scenes across multiple costume and lighting variations
Pika supports AI Halloween photoshoots by generating image outputs from prompts that can be iterated through guided workflows. Its distinct value for Halloween work comes from controllable prompt composition and rapid regeneration for scene, lighting, and costume variations.
Image results can be produced in batches, which matters for producing multiple looks for the same theme. Integration depth and automation controls depend on Pika’s available API and webhook options, which shape throughput for production pipelines.
- +Prompt-driven scene iteration supports consistent Halloween costume variations
- +Batch generation supports producing multiple looks per concept
- +Generation parameters enable repeatable lighting and framing styles
- +Workflow focus reduces manual retakes during photoshoot rounds
- –Advanced governance controls like RBAC and audit logs are not clearly documented
- –API and automation surface may limit high-throughput pipeline integration
- –Data model and schema controls for stored prompts are limited
- –Admin configuration options for project isolation are not explicit
Best for: Fits when creative teams need fast Halloween variations with minimal manual iteration.
Runway
generative mediaCreates Halloween-themed image and video outputs with API-capable workflows, prompt conditioning, and project-based asset organization.
API and workflow automation for provisioning generation jobs with reusable asset inputs.
Runway is a generative image workflow tool built around a schema-driven data model for video and image creation that fits production photo pipelines. For an AI Halloween photoshoot generator use case, it supports guided image generation with consistent character outputs across scenes when prompts and inputs are managed as reusable assets.
Integration depth is strongest through documented APIs and automation hooks that connect generation steps to asset storage, review queues, and publishing tools. Governance coverage is shaped by org controls that map user access to project workspaces with audit-ready activity trails.
- +API-driven generation steps map cleanly into a photo pipeline workflow
- +Asset reuse supports consistent characters across multiple Halloween scenes
- +Project and workspace structure supports role-based permissions
- +Workflow automation can connect prompts, inputs, and outputs deterministically
- –Prompt-only control can drift without disciplined input and versioning
- –Automation depth depends on maintaining an internal generation schema
- –Complex multi-shot scenes require extra orchestration logic
- –Governance controls require careful workspace provisioning for large teams
Best for: Fits when teams need controlled, API-based Halloween shoots with repeatable character outputs.
Leonardo AI
prompt-to-imageGenerates Halloween photos and characters with prompt presets and model selection for controlled image-to-image and text-to-image results.
Prompt-guided image generation with style and composition settings for consistent Halloween character outputs.
Leonardo AI is an AI photo generator used to produce Halloween photoshoots with prompt-guided characters, costumes, and scene styles. It supports an extensible workflow around image generation and refinement, with settings that steer output consistency across a shoot.
Integration depth is mostly centered on prompt workflows and generation controls rather than enterprise asset pipelines. Automation and API surface depend on how teams integrate generation requests into their own tooling and approval steps.
- +Prompt-driven control for Halloween themes, costumes, and lighting setup
- +Iterative generation workflow supports rapid variation for photoshoot concepts
- +Style configuration helps keep outputs aligned across multiple prompts
- –Limited evidence of admin governance like RBAC and audit logs for teams
- –Automation depends on external orchestration rather than built-in approvals
- –Data model and schema controls for asset metadata stay outside the core workflow
Best for: Fits when teams need prompt-based Halloween shoot generation with controlled iterations.
Stability AI
API-first generationProvides API access to text-to-image and image-editing models suitable for programmatic Halloween photoshoot generation pipelines.
Seed-based reproducibility with configurable generation parameters for consistent Halloween photoshoot assets.
Stability AI generates Halloween photoshoot images from text prompts and can refine outputs with image guidance inputs. The integration depth centers on a documented API surface for prompt submission, generation parameters, and job-based workflows for higher throughput.
The data model maps prompts, seeds, styles, and optional conditioning images into a reproducible schema for consistent asset generation. Automation and governance depend on how teams wrap the API with RBAC, audit logging, and internal orchestration around model calls.
- +API supports prompt-driven generation with parameterized control
- +Conditioning with images enables consistent Halloween set dressing
- +Seed control supports repeatable outputs for production iteration
- +Extensible model and workflow configuration supports custom pipelines
- –Automation requires external orchestration for approval and scheduling
- –Governance hinges on client-side RBAC and audit logging wiring
- –Throughput limits and latency require batching and queue design
- –Output variation can require manual prompt and parameter tuning
Best for: Fits when teams need API-based Halloween image automation with internal governance controls.
Replicate
model orchestrationRuns image generation models and toolchains via an API with versioned deployments and job-based outputs for automation.
Job-based inference API with versioned model inputs for deterministic, schema-driven photoshoots.
Replicate fits teams running repeatable AI image workflows for a Halloween photoshoot, where automation and API control matter. The service centers on versioned model deployments with a clear input schema, so photo-generation requests map to a predictable data model.
Replicate’s API supports programmatic job creation and result retrieval, which enables orchestration from web backends, scripts, or batch pipelines. Governance depends on workspace access controls and auditability patterns tied to API usage and deployment configuration rather than built-in photo studio tooling.
- +Versioned models with explicit input schema for repeatable image generation
- +Job-based API supports automation, batching, and external orchestration
- +Clear separation between model deployment and request parameters
- +Extensibility via custom models and reproducible deployment artifacts
- –Admin governance focuses on workspace access rather than fine-grained project RBAC
- –Automation requires app-side orchestration for retries, rate control, and caching
- –Throughput management is largely an integration responsibility
- –Audit log detail can be limited for per-prompt governance needs
Best for: Fits when a team needs API-driven Halloween photo generation with controlled inputs and automation.
How to Choose the Right ai halloween photoshoot generator
This buyer’s guide covers Rawshot, NightCafe Creator, Canva, Adobe Firefly, Fotor, Pika, Runway, Leonardo AI, Stability AI, and Replicate for AI Halloween photoshoot generation. It focuses on integration depth, data model design, automation and API surface, and admin and governance controls across these tools. It also maps tool strengths to concrete production workflows like repeatable character scenes, compositing, and schema-driven job execution.
AI Halloween photoshoot generator tools that produce themed images from prompts, assets, and workflows
An AI Halloween photoshoot generator tool turns Halloween concepts into image outputs using text-to-image or image-to-image inputs, then supports editing or repeat runs for consistent themed scenes. These tools solve seasonal production problems like rapid variant creation for different costumes and settings, background swaps for set dressing, and reproducible outputs for multi-shot campaigns. Rawshot targets photoreal Halloween photoshoot images for fast concept-to-publish iterations, while Runway targets API-based photo pipeline workflows with reusable asset inputs for controlled shoots.
Evaluation criteria for Halloween photoshoots: integration, data model, automation, and governance
Integration depth determines whether the tool can plug into an existing asset pipeline, a review queue, and a publishing flow without manual rework. Runway and Stability AI align with API-driven orchestration through parameterized generation inputs and job-based execution.
Data model clarity controls how reliably a studio can reuse characters, prompts, seeds, and conditioning images across scenes. Replicate and Runway emphasize versioned or schema-driven job inputs that map generation requests to predictable outputs.
API-first job execution with explicit input schemas
Replicate supports job-based inference with versioned model deployments and explicit input schema, which makes automation predictable for Halloween photo generations. Runway also emphasizes API and workflow automation for provisioning generation jobs with reusable asset inputs, which supports deterministic multi-shot pipelines.
Reproducibility controls using seeds and parameterized inputs
Stability AI provides seed-based reproducibility with configurable generation parameters, which helps keep Halloween set dressing consistent across iterations. This reproducibility also reduces prompt drift when creating the same character lighting and framing style across multiple scenes.
Reusable character or scene assets across multiple shots
Runway supports consistent character outputs across scenes when prompts and inputs are managed as reusable assets. Pika supports prompt-based iterative generation for consistent Halloween scenes across multiple costume and lighting variations, which helps when a single concept needs several looks.
Style and settings presets for consistent Halloween visual direction
NightCafe Creator emphasizes style and settings presets that standardize Halloween image outputs across reruns. This matters when the goal is a coherent seasonal series rather than one-off images.
Compositing and background replacement inside the generator workflow
Canva provides Magic Edit and themed background replacement tools inside a layered editor, which supports Halloween set creation without leaving the authoring surface. Fotor delivers background replacement and cutout editing so generated subjects can be placed into Halloween scene compositions.
Admin and governance controls for teams using shared workspaces
Runway supports role-based permissions tied to project and workspace structure with audit-ready activity trails, which is relevant for team governance. NightCafe Creator, Fotor, Leonardo AI, and Pika show limited documentation of RBAC and audit log governance, which can force manual review steps for larger groups.
Decision framework for selecting a Halloween photoshoot generator for real pipelines
Start with where automation must live. If generation needs to run inside a programmatic pipeline with schema-driven job execution, Runway and Replicate fit the workflow shape. If generation needs to plug into an existing creative workspace for layered edits and brand consistency, Canva and Adobe Firefly align with those authoring and asset review patterns.
Match the integration depth to the production pipeline location
If generation must trigger from scripts or backend services, prefer Runway or Replicate because both center API-capable workflows with job-based inputs. If generation and edits must happen inside creative authoring projects with layers and templates, choose Canva or Adobe Firefly to keep Halloween concepts inside the same asset workspace.
Pick a data model that supports repeatable characters, prompts, and scene inputs
For consistent characters across a scene list, use Runway because reusable asset inputs map to repeatable outputs across multiple Halloween scenes. For reproducible iterations in automated generation, use Stability AI because seed control and parameterized inputs keep lighting and set dressing consistent.
Decide how much compositing must be handled inside the tool
If Halloween scene assembly relies on background swaps and cutouts, choose Canva or Fotor because both include background replacement and subject isolation-style editing in the authoring flow. If compositing needs to be minimal and the priority is fast photoreal generation, choose Rawshot for a Halloween-photoshoot-centric generation flow.
Confirm automation and throughput controls fit orchestration needs
If batch creation and orchestration must happen through automation rather than manual UI steps, choose Replicate or Runway because job-based execution supports pipeline-level throughput management. If automation is limited, tools like NightCafe Creator and Canva can still work for small teams because they emphasize reusable settings and project organization rather than enterprise orchestration.
Validate governance needs before committing to a team workflow
For multi-user governance with role-based access and audit-ready trails, choose Runway because it supports project and workspace permissions designed for role-based permissions with activity trails. For tools with less documented governance like NightCafe Creator, Fotor, Leonardo AI, and Pika, plan for a stricter manual approval process and external access controls.
Test output consistency using your real prompt variability
Rawshot can produce photoreal Halloween photoshoot outputs quickly, but output consistency can vary when prompt specificity changes, so controlled prompt templates help. NightCafe Creator reduces rerun variability through style and settings presets, which helps when multiple artists must maintain the same Halloween visual direction.
Which teams benefit from Halloween photoshoot generators based on how they run work
Different tools map to different operational needs like speed to publish, controlled reruns, and API-driven automation. The best fit depends on whether the workflow is authored in a creative project, executed as automated jobs, or assembled through compositing tools. Rawshot, Canva, and Adobe Firefly focus on production-ready seasonal visuals inside focused authoring and generation flows, while Runway, Stability AI, and Replicate focus on integration and repeatable pipelines.
Creators and marketers needing fast photoreal Halloween photoshoot images
Rawshot is built for Halloween-photoshoot-style realism with a fast path from concept to publishable images, which suits seasonal campaigns. It also produces multiple themed variations quickly for social and promotional work.
Small teams standardizing style across repeated Halloween reruns
NightCafe Creator is oriented around style and settings presets that standardize Halloween outputs across reruns. It also keeps assets grouped by project workflow so teams can maintain consistent visual direction.
Marketing teams building brand-consistent Halloween photo sets with collaboration
Canva fits teams that need layered composition, background replacement, and brand kit consistency inside shared projects. Its collaboration model supports review workflows across teams for Halloween photo set creation.
Teams running controlled, API-based Halloween shoots with reusable character assets
Runway targets API and workflow automation for provisioning generation jobs with reusable asset inputs, which supports role-based workspace permissions. It also supports consistent character outputs across scenes when inputs are managed as reusable assets.
Engineering-led teams implementing schema-driven, automated inference pipelines
Replicate provides versioned deployments and job-based inference with an explicit input schema for deterministic request handling. Stability AI adds seed-based reproducibility for consistent Halloween set dressing when automation requires repeatable generation inputs.
Common failure modes when selecting a Halloween photoshoot generator
Many teams overestimate how much control a prompt-only workflow provides for consistent multi-shot campaigns. Prompt drift shows up when tools lack disciplined input versioning or when governance and asset reuse are not explicitly modeled in the workflow. Another common failure mode is choosing a tool that excels at one-off generation but lacks documented automation or schema support for batch production and pipeline orchestration.
Assuming prompt-only generation will stay consistent across a whole shoot
If scene consistency requires stable character and framing, prefer Runway or Stability AI because reusable assets and seed-based reproducibility reduce drift. Rawshot can deliver realism fast, but output consistency varies when prompt specificity changes.
Selecting a UI-first tool for an automation-heavy pipeline
If generation must be scheduled, retried, and orchestrated from a backend, Replicate and Runway align with job-based API usage. NightCafe Creator, Fotor, and Canva emphasize editor workflows and presets, which can leave automation as UI actions rather than schema-driven jobs.
Ignoring governance needs until multiple users start generating Halloween assets
For teams that need role-based access and audit-ready trails, use Runway because workspace structure supports role-based permissions. Tools like NightCafe Creator, Leonardo AI, and Pika show limited evidence of RBAC and audit log governance, which can force manual governance.
Under-scoping compositing requirements for Halloween set dressing
If the workflow needs background replacement and cutouts inside the generation flow, choose Canva or Fotor because both include themed background replacement and cutout-style subject isolation. If compositing is required but the tool lacks strong in-editor assembly, teams may end up with extra external editing steps.
How We Selected and Ranked These Tools
We evaluated Rawshot, NightCafe Creator, Canva, Adobe Firefly, Fotor, Pika, Runway, Leonardo AI, Stability AI, and Replicate using feature coverage, ease of use, and value for Halloween photoshoot workflows. The overall rating was a weighted average where features carried the most weight at 40 percent, with ease of use and value each accounting for 30 percent.
Feature scoring prioritized concrete integration depth, automation and API surface, and repeatability mechanisms like seeds or reusable assets that affect real production throughput. Rawshot separated from lower-ranked tools by combining a Halloween-photoshoot-centric generation flow with very high features and ease-of-use scores, and that directly supported the fast concept-to-publish workflow that lifts both the features factor and the usability factor.
Frequently Asked Questions About ai halloween photoshoot generator
Which AI Halloween photoshoot generators support API-first automation?
How do generated results stay consistent across a multi-scene Halloween shoot?
What integration path works best inside existing creative tooling and review processes?
Which tools provide the most controllable configuration for batch production throughput?
Can a pipeline pass generated subjects into compositing with minimal manual retouching?
Which platforms expose an input data model that reduces prompt drift across runs?
What SSO or RBAC style controls are feasible for teams running controlled Halloween generation?
How does data migration typically work when moving from one generator to an API-based pipeline?
What are the most common production failures when automating Halloween shoots, and how can teams mitigate them?
Which tool best fits an editor-first workflow that still supports iterative refinement for Halloween scenes?
Conclusion
After evaluating 10 tools, Rawshot 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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