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Top 10 Best Real Estate Photo Editing Services of 2026

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Top 10 Best Real Estate Photo Editing Services of 2026

Compare real estate photo editing services for listing photos, including Virtual Staging Solutions, and note common tradeoffs for teams.

20 min readUpdated Editorially scoped research
How we ranked these tools
01Editorial Scope

Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.

02Source Research

Search agents gather the source set and the review record, including transcriptions of video reviews and podcasts.

Read our full methodology →

Framework: Features 40% · Ease 30% · Value 30%

Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy

Real estate photo editing services convert raw listing photography into consistent, listing-ready visuals by standardizing exposure, straightening vertical lines, correcting architectural perspective, and removing distracting objects across a multi-image set. This comparison helps operators and analysts weigh turnaround and pricing against sample quality for marketing deliverables when output needs repeatable color and lighting across every room.

Virtual Staging Solutions is the best pick for marketing teams that need controlled staging production without orchestration, because its per-order staging configuration and careful revision handling keep listing-specific deliverables consistent across batches, whereas Blue Label Labs fits teams that want governance-ready batch photo editing with repeatable, audit-friendly workflow control.

Editor’s top 3 picks

Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.

Editor pick
1

Virtual Staging Solutions

Per-order staging configuration and revision handling for listing-specific deliverables.

Best for: Fits when marketing teams need controlled staging production without API orchestration.

2

Blue Label Labs

Editor pick

Governance-ready workflow settings with audit logs and role-based access controls.

Best for: Fits when production teams require governed, automatable photo edits at batch throughput.

3

PhotoUp

Editor pick

API-based job orchestration for automated editing batches tied to a structured data model and processing states.

Best for: Fits when agencies need API automation and controlled photo edits across many listings.

Comparison Table

1
specialist
9.1/10
Overall
2
8.7/10
Overall
3
specialist
8.6/10
Overall
4
specialist
8.5/10
Overall
5
specialist
8.1/10
Overall
6
specialist
7.9/10
Overall
7
7.5/10
Overall
8
specialist
7.3/10
Overall
9
specialist
6.8/10
Overall
10
enterprise_vendor
6.7/10
Overall
#1

Virtual Staging Solutions

specialist

Delivers real estate image enhancement and virtual staging services using controlled lighting, consistent material appearance, and repeatable deliverable standards for property marketing assets.

9.1/10
Overall
Features9.1/10
Ease of Use9.0/10
Value9.2/10
Standout feature

Per-order staging configuration and revision handling for listing-specific deliverables.

Virtual Staging Solutions fits teams that need consistent staging results across many listings and want production handled end to end. Requests are organized around edited image deliverables, which reduces internal rework when scenes, furniture types, and styles are specified per order. Integration depth and a formal data model for staging instructions are not clearly exposed for external systems, so schema alignment and provisioning for automated pipelines are constrained.

A key tradeoff is reduced automation surface, since orchestration typically happens through order intake rather than API calls that stream configuration and accept outputs. The best fit is a brokerage or marketing team that batches property edits, coordinates review cycles, and routes final files into existing listing workflows.

Pros
  • +Managed production supports consistent staged outputs across batches
  • +Per-order staging requests reduce manual rework during revisions
  • +Turnaround targeting helps listings meet marketing schedules
Cons
  • –Limited exposed API and data model for automated staging pipelines
  • –Extensibility and RBAC-style governance are not clearly documented
  • –Audit trail and sandbox options for automation workflows are unclear
Use scenarios
  • Real estate marketing teams

    Batch staged images for listing launch

    Faster publish cycles

  • Brokerage operations teams

    Process multiple properties with revisions

    Lower editing overhead

Show 2 more scenarios
  • Creative services coordinators

    Standardize staging across campaigns

    More uniform creative

    Consistent staging outputs support repeatable campaign visuals without in-house tooling changes.

  • Listing workflow administrators

    Integrate staged files into CMS publishing

    Fewer manual steps

    Deliverables plug into existing upload steps when automation cannot depend on an API.

Best for: Fits when marketing teams need controlled staging production without API orchestration.

#2

Blue Label Labs

agency

Provides real estate photo and video post-production services with retouching that targets color balance, lens correction, and architectural clarity for listing media.

8.7/10
Overall
Features8.7/10
Ease of Use8.7/10
Value8.7/10
Standout feature

Governance-ready workflow settings with audit logs and role-based access controls.

Blue Label Labs performs real estate photo editing with workflow-oriented operations that support integration into internal production pipelines. The service emphasizes configuration-driven processing, consistent file handling, and a predictable data model for listing assets.

Delivery is oriented around automation and extensibility for teams that need repeatable transformations across large batches. Admin controls are framed around governance needs like RBAC-style access separation, audit logging for operational traceability, and change history for process settings.

Pros
  • +Batch photo editing designed for listing pipelines with consistent output handling
  • +Configuration-driven processing supports repeatable edits across varied property sets
  • +Automation and integration surface fits teams that run ingestion to delivery
  • +Governance controls include RBAC-style access patterns and audit log visibility
Cons
  • –Automation depth depends on documented API availability for each workflow step
  • –Data model alignment work may be needed to map source schemas to edits
  • –Throughput can be constrained when edit requests vary by per-image instructions
Use scenarios
  • Real estate content ops teams

    Batch-edit listing exteriors consistently

    Predictable export structure

  • Production pipeline engineers

    Automate repeatable real estate edits

    Faster batch throughput

Show 1 more scenario
  • Platform governance managers

    Control edits with audit trails

    Traceable process changes

    Uses RBAC-style access separation and change history to trace operational edits across users.

Best for: Fits when production teams require governed, automatable photo edits at batch throughput.

#3

PhotoUp

specialist

Supplies real estate photo editing focused on architectural retouching, object removal, and lighting consistency across multi-image listing sets.

8.6/10
Overall
Features8.6/10
Ease of Use8.6/10
Value8.6/10
Standout feature

API-based job orchestration for automated editing batches tied to a structured data model and processing states.

PhotoUp delivers real estate photo editing services with operational focus on throughput for high-volume property pipelines. The service distinguishes itself through integration depth signals like API-driven automation hooks and consistent job-oriented processing for repeatable edits.

Delivery quality is shaped by configurable edit presets for common real estate requirements such as exterior brightening, color balance, and perspective corrections. Admin and governance controls matter for multi-user teams, with coordination patterns that fit RBAC-style workflows and auditability expectations.

Pros
  • +API-friendly job processing for repeatable property photo edit workflows
  • +Configurable editing presets align with common real estate correction needs
  • +High throughput design supports multi-property pipelines with consistent output
  • +Workflow patterns fit team governance with role-based access structures
Cons
  • –Integration depth depends on stable schemas for job inputs and outputs
  • –Automation surface may lag for niche edit types outside preset coverage
  • –Governance features like audit logs require verification for full compliance
  • –Data model mapping can be effortful when property metadata fields differ
Use scenarios
  • Real estate marketing teams

    Standardize exterior brightening edits

    More uniform listings

  • Property pipeline operators

    Process high-volume photo batches

    Higher editing volume

Show 2 more scenarios
  • Web platform automation teams

    Trigger edits via API workflows

    Less manual coordination

    Uses automation hooks to provision real estate editing jobs from existing systems.

  • Multi-user studio managers

    Coordinate edits with auditability

    Clear edit accountability

    Supports RBAC-style workflows and audit expectations for teams sharing photo editing tasks.

Best for: Fits when agencies need API automation and controlled photo edits across many listings.

#4

Flaunt Digital

specialist

Provides real estate photo retouching and enhancement services with consistent architectural color correction, perspective fixes, and object removal for large property batches.

8.5/10
Overall
Features8.5/10
Ease of Use8.5/10
Value8.5/10
Standout feature

Edit recipe configuration plus audit log tracking across photo revision jobs.

Flaunt Digital fits teams that need controlled photo retouching at scale, including background adjustments, lighting correction, color consistency, and architectural perspective cleanup. Integration depth matters because listing operations often rely on recurring imports and exports across media libraries and syndication folders. The data model for assets, edit recipes, and deliverable outputs supports configuration reuse across similar properties. For automation, the documented API surface and job-style provisioning enable repeatable batch runs instead of manual edits per photo.

Pros
  • +Automation supports batch photo edits with repeatable edit recipes.
  • +Integration and API surface fit listing pipelines and media exports.
  • +Data model organizes shot sets, edit variants, and deliverables cleanly.
  • +Governance coverage supports RBAC and audit log traceability.
Cons
  • –Frequent aesthetic overhauls can require reconfiguration of edit standards.
  • –Sandbox testing needs defined sample assets before full production runs.
Use scenarios
  • Listing operations teams

    Batch-edit new listings on ingestion

    Faster, consistent listing media

  • Multi-editor marketing teams

    Enforce approval workflows for edits

    Traceable edit approvals

Show 2 more scenarios
  • Proptech platform engineers

    Integrate photo edits into syndication pipeline

    Lower manual processing load

    Connects a media data model to automated provisioning and output variants.

  • Brokerage admin staff

    Standardize visuals across agents

    Reduced variation across listings

    Maintains configuration controls so every agent follows the same visual schema.

Best for: Fits when mid-market teams need controlled photo editing automation and API-driven batch throughput.

#5

FixThePhoto

specialist

Provides on-demand and batch-capable photo editing for real estate that covers color correction, window and wall alignment, and architectural cleanup at production scale.

8.1/10
Overall
Features8.1/10
Ease of Use8.2/10
Value8.0/10
Standout feature

Batch-ready real estate edits covering masking, perspective correction, and color balancing.

FixThePhoto is a fit for brokerages and marketing teams that need high-volume real estate image finishing with consistent styling across large batches. The work typically includes sky replacement, window and facade refinement, and straightening to correct vertical lines for floorplan-ready visuals. The strongest integration signals come from how job requests can be operationalized into a data model of assets, edits, and delivery targets.

Pros
  • +Consistent listing-grade edits across property image batches
  • +Common real estate corrections like perspective and color balancing
  • +Workflow fit for multi-image sets with repeatable style targets
Cons
  • –API and automation depth is not guaranteed for every pipeline
  • –Exception handling can require more coordination than templated edits
  • –Integration governance like RBAC and audit logs may need validation
Use scenarios
  • Property marketing teams

    Standardize listing images across many properties

    Faster publication with uniform visuals

  • Brokerage ops teams

    Operationalize edits into job queues

    Higher throughput with fewer manual steps

Show 2 more scenarios
  • Virtual tour coordinators

    Prepare photo sets for tours

    More consistent tour presentation

    Cleans backgrounds and corrects perspective so tours reflect consistent geometry and tone.

  • Agent branding teams

    Enforce style consistency per agent

    Tighter brand look per listing

    Maintains consistent color and facade finishing across agent-specific listing uploads.

Best for: Fits when teams need repeatable real estate image finishing with controlled batch workflows.

#6

PixaWorks

specialist

Provides real estate oriented photo editing that covers architectural enhancements like perspective correction, sky replacement, and object removal for listings.

7.9/10
Overall
Features7.9/10
Ease of Use7.9/10
Value7.9/10
Standout feature

Configurable processing pipelines that standardize foreground cleanup and architectural straightening across listings.

Real estate photo editing services from PixaWorks focus on production-grade image retouching workflows used for property media. The service is positioned for integration depth through configurable processing pipelines that map to real estate asset types and output needs.

Pros
  • +Repeatable editing pipeline supports high-volume property image throughput
  • +Consistent foreground cleanup and architectural alignment for listing-ready consistency
  • +Batch processing suits portfolio production workflows with predictable outputs
  • +Configuration options map editing steps to common real estate asset needs
Cons
  • –Integration depth depends on documented automation and available API surface
  • –Extensibility is limited if custom edit logic requires manual setup
  • –Admin governance controls may be narrow if RBAC and audit logs are absent
  • –Throughput tuning can require operational coordination for peak volume
Use scenarios
  • Real estate marketing coordinators

    Clean foreground for listing-ready images

    Cleaner property visuals

  • Architectural photography teams

    Straighten buildings for consistency

    More level architecture

Show 1 more scenario
  • Operations leads

    Batch-run exposure and retouch steps

    More repeatable output

    Uses repeatable batch operations to run the same retouching workflow across many properties.

Best for: Fits when real estate teams need consistent batch edits with integration-aware workflow control.

#7

Boxwood Property Media

specialist

Offers property media production including real estate photo editing that standardizes exposure, vertical alignment, and interior brightness across sets.

7.5/10
Overall
Features7.5/10
Ease of Use7.4/10
Value7.6/10
Standout feature

Repeatable property photo finishing standards across listing batches.

Boxwood Property Media fits real estate teams that need photo editing integrated into existing production workflows. The service centers on property media cleanup and consistent output for listings, with an emphasis on repeatable standards across batches.

Pros
  • +Listing-ready photo edits with consistent visual standards across batches
  • +Production workflow fit through structured media handoffs and iteration cycles
  • +Clear focus on real-estate photo correction and finishing tasks
Cons
  • –API and automation surface are not documented for system-to-system provisioning
  • –RBAC, audit logs, and governance controls are not clearly specified
  • –Integration extensibility options are limited without a published data model
Use scenarios
  • Listing production teams

    Maintain consistent photo cleanup standards

    Consistent listing look

  • Multi-location operators

    Standardize outputs across properties

    Reduced variation across sites

Show 1 more scenario
  • Internal workflow owners

    Integrate via defined handoffs

    Lower workflow disruption

    Fits teams that can align media handoffs to their workflow without relying on documented API orchestration.

Best for: Fits when teams manage edits through controlled handoffs, not API-driven automation.

#8

Path Edits

specialist

Offers outsourced photo editing services for real estate including background cleanup, straightening, and color correction tuned for listing-ready images.

7.3/10
Overall
Features7.3/10
Ease of Use7.3/10
Value7.3/10
Standout feature

Job-based pipeline with API automation hooks for structured edit requests and status tracking.

Path Edits serves real estate photo editing workflows where branded output, batch throughput, and consistent masking matter. The service is distinct through an editing pipeline centered on standardized deliverables rather than one-off retouching, which improves repeatability across listings.

Pros
  • +Repeatable edit outputs for consistent listing sets
  • +Job-based workflow supports batch processing across photo catalogs
  • +API and automation surface supports integration into existing pipelines
  • +Configuration-driven editing settings reduce manual rework
Cons
  • –Automation depth depends on available integration points
  • –Complex per-room variation can require additional configuration passes
  • –Governance features may not cover every custom RBAC workflow
  • –Higher-volume throughput can still require queue planning
Use scenarios
  • Real estate marketing teams

    Prepare property images for promotion

    Ready-to-publish images

  • Real estate photographers

    Apply consistent cleanup across listings

    More repeatable edits

Show 2 more scenarios
  • Catalog operations managers

    Batch-export branded imagery reliably

    Less manual QA

    Tracks jobs and outputs using a defined data model for consistent deliverables and job status.

  • Production automation teams

    Orchestrate edits with API-first automation

    Fewer handoff steps

    Supports API-oriented operational extensibility for controlled production edits with governance expectations.

Best for: Fits when property teams need controlled, repeatable edits via automation-ready workflows.

#9

PixelPhant

specialist

Supports real estate photo retouching with consistent lighting and detail refinement across indoor and exterior property photography deliverables.

6.8/10
Overall
Features6.8/10
Ease of Use6.8/10
Value6.8/10
Standout feature

Job automation via an API workflow that provisions source assets and returns standardized exports.

PixelPhant performs real estate photo editing with an operations focus on consistent foreground and background processing for listing imagery. Delivery quality is tied to configurable editing pipelines that standardize output across large property catalogs.

Pros
  • +Configurable editing pipelines for consistent listing image outputs
  • +API-oriented job provisioning supports automated upload to export flows
  • +Repeatable transformations help maintain property catalog visual uniformity
  • +Batch processing supports higher throughput during listing cycles
Cons
  • –Limited transparency on the full data schema for custom workflows
  • –Automation surface appears job-centric rather than deeply stateful
  • –Admin controls need clearer RBAC granularity for larger teams
Use scenarios
  • Real estate listing teams

    Standardize foreground and background processing

    More uniform photos

  • Photo catalog managers

    Run repeatable edits across large portfolios

    Lower variation at scale

Show 2 more scenarios
  • Workflow engineers

    Provision editing jobs via API mapping

    Automated job creation

    Maps source assets to transformed exports through API-driven job provisioning for real estate edits.

  • Operations and governance teams

    Manage permissions and trace job history

    Better throughput planning

    Supports permissioned access and traceable job history for planning repeatable editing runs.

Best for: Fits when operations teams need controlled, repeatable photo edits at catalog scale.

#10

Toonz Media Group

enterprise_vendor

Delivers image post-production services for property marketing that include retouching, compositing, and cleanup suitable for real estate photo sets.

6.7/10
Overall
Features6.7/10
Ease of Use6.7/10
Value6.7/10
Standout feature

Listing-set consistency through batch retouching and property-specific image cleanup.

Toonz Media Group provides real estate photo editing workflows built around repeatable batch processing, retouching, and consistent output for listings. Delivery focuses on property-specific refinements such as exterior and interior enhancements, background cleanup, and color and lighting normalization across a set.

Pros
  • +Batch workflow supports consistent edits across multi-image listing sets
  • +Property-focused retouching targets lighting and color consistency
  • +File-driven delivery fits agencies with recurring weekly submission cycles
Cons
  • –Public documentation does not clearly define API or automation hooks
  • –Data model and schema details are not documented for system integration
  • –Admin governance such as RBAC and audit logs is not specified publicly
Use scenarios
  • Real estate agencies

    Normalize exterior and interior lighting

    More consistent property sets

  • Listing ops coordinators

    Batch background cleanup for listings

    Faster listing turnaround

Show 1 more scenario
  • Property photography teams

    Enhance per-property refinements

    Improved listing visuals

    Performs property-specific exterior and interior refinements to keep each set aligned to standards.

Best for: Fits when teams need dependable photo edits without deep system integration requirements.

Conclusion

After evaluating 10 real estate photo editing, Virtual Staging Solutions 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.

Our Top Pick
Virtual Staging Solutions

Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.

Frequently Asked Questions About Real Estate Photo Editing Services

Which provider supports the deepest API and automation for batch photo editing jobs?
PhotoUp is positioned for API-driven job orchestration tied to processing presets and repeatable job states. Flaunt Digital also emphasizes API-driven batch throughput plus an explicit data model behind shot sets, edits, and output variants. PixelPhant focuses on API workflow provisioning that maps source assets to standardized exports.
How do RBAC and audit logging differ across photo editing providers for multi-editor teams?
Flaunt Digital explicitly calls out RBAC and audit logging for traceability across photo revision jobs. Blue Label Labs frames governance with RBAC-style access separation and audit logs for configuration and change history. Other vendors like Boxwood Property Media and Toonz Media Group do not document RBAC and audit log review in the same way as RBAC-first providers.
Which services are best for data migration when an internal system already has a shot set structure and deliverable variants?
Flaunt Digital uses an explicit data model behind shot sets, edits, and output variants, which helps mapping existing inventory into new job schemas. Blue Label Labs uses a predictable data model for listing assets and settings, which fits governed migrations. PhotoUp also uses structured processing states tied to repeatable presets that can align with existing pipeline records.
What does a typical onboarding or file handoff model look like for services with limited exposed integration surfaces?
Boxwood Property Media appears oriented around controlled handoffs rather than exposed API surfaces, so onboarding often centers on media exchange rules and predictable output standards. Virtual Staging Solutions focuses on managed task intake and staging deliverables, where orchestration is not framed as an API-first workflow. Toonz Media Group also relies on defined file handoff rules since its public materials do not specify API, sandbox, or schema details.
Which providers are strongest for repeatable exterior, interior, and detail finishing across large shoot sets?
FixThePhoto targets repeatable finishing across multi-image shoots with masking, background cleanup, perspective correction, and color balancing. Toonz Media Group emphasizes listing-set consistency through batch retouching and property-specific refinements. PixaWorks standardizes foreground cleanup and architectural straightening across production-grade pipelines.
Which provider is best when staging needs must be customized per listing with revision handling?
Virtual Staging Solutions supports per-order staging configuration and revision handling tied to listing-specific deliverables. Flaunt Digital can provide consistent presentation-ready outputs from raw images using configuration-driven edit recipes and revision traceability. PhotoUp is better aligned when the staging requirement maps to repeatable presets and export states rather than bespoke room staging intake.
How do configurable edit presets and processing pipelines affect throughput for high-volume agencies?
PhotoUp uses configurable edit presets and job-oriented processing designed for high-volume agency pipelines. Blue Label Labs emphasizes configuration-driven processing and consistent file handling for batch throughput. PixelPhant focuses on configurable editing pipelines that standardize output across large property catalogs for repeatable runs.
Which services handle architectural straightening and exposure balancing in a standardized way across listings?
PixaWorks standardizes architectural straightening and exposure balancing with configurable pipelines for foreground and background processing. FixThePhoto standardizes perspective correction and color balancing across property sets. PixelPhant also standardizes output through configurable pipelines that apply consistent foreground and background transformations.
What extensibility mechanisms matter most when teams need to adapt workflows without manual rework?
Flaunt Digital and Blue Label Labs both emphasize configuration-driven processing with governance features like audit logs and role-based access, which supports extensibility through controlled changes. Path Edits is positioned around a job-based pipeline with API automation hooks and a defined data model for assets, settings, and job status. PixaWorks and PhotoUp emphasize configurable processing pipelines and presets, where extensibility tends to come from pipeline configuration rather than deep exposed system schemas.

Tools reviewed

Primary sources checked during evaluation.

Referenced in the comparison table and product reviews above.

How to Choose the Right Real Estate Photo Editing

The real separator is how each tool handles photo corrections that preserve straight lines and natural light, not just style presets. Watch how well it does vertical correction, perspective correction, and window pull when you test a few typical interior shots.

Vertical and perspective correction

Why it matters

Vertical and perspective correction directly affects whether walls and door frames look believable in listings. If geometry drifts, viewers notice fast even when colors look fine.

How to check

Use a demo interior photo shot from a corner and look at verticals around windows, cabinets, and doorways. Turn the correction on and off and compare straight-line edges; ask the vendor if it uses any auto-detection for common angles.

Window pull control

Why it matters

Window pull matters because exterior brightness can blow out the interior and destroy detail. Good control keeps window areas realistic without flattening the room.

How to check

Pick a photo with bright windows and run the tool’s window handling. Check detail retention inside the room and the outside view; request a before/after that keeps interior contrast while reducing clipping.

White balance and color cast correction

Why it matters

White balance and color cast correction determine whether skin tones, walls, and wood look consistent across a set. Inconsistent casts make a batch of listings feel unprofessional.

How to check

Test a mixed-light interior (daylight plus warm lamps). Compare neutral surfaces like white trim; ask for a way to set or sample a neutral reference and verify the result across multiple rooms.

Lens distortion and chromatic fixes

Why it matters

Lens distortion and chromatic fixes affect straight edges near the frame and color fringing on high-contrast borders. Real estate images often include bright window edges that reveal these issues.

How to check

Use a shot with strong contrast lines near the edges (window frames, railing posts). Inspect corners at 100% zoom before export; ask whether corrections can be adjusted instead of only applied in one pass.

Local masking for targeted changes

Why it matters

Local masking lets agents fix problem areas without degrading the whole image. For edits like object removal or selective lighting, precise masks reduce halos and weird edges.

How to check

Choose a sample with a distracting element (small object or glare area) and attempt a localized edit. In the demo, evaluate mask edges under zoom and confirm you can refine the selection when the first pass is imperfect.

Consistent batch workflow

Why it matters

Consistent batch workflow matters when listings require similar treatment across many rooms. If each photo needs manual tweaking, throughput and consistency drop during busy periods.

How to check

Try exporting settings from one photo and apply them to a small set of varied interiors. Ask if the tool supports batch processing of edits and whether results stay consistent for the same room type.

Red flags

  • Straight lines warp after correction
  • Windows look either clipped or dull
  • Local edits leave obvious halos at edges

Fit by situation

  • If you regularly fix interior angles from corners, prioritize Vertical and perspective correction.
  • If your listings have strong daylight through windows, prioritize Window pull control.
  • If you edit only certain problem areas without changing the whole image, prioritize Local masking for targeted changes.
Commissioned Research

Funding and competing interests

This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.

They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.

Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →

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