GITNUXSOFTWARE ADVICE
Technology Digital MediaTop 10 Best Resize Photo Software of 2026
Compare resize photo software options like Adobe Photoshop, FastStone Image Viewer, and Pixlr, covering key tradeoffs for photo resizing workflows.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
Agents extract product evidence with provenance, then collect written reviews and transcribe video reviews and podcasts.
Framework: Features 40% · Ease 30% · Value 30%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
Adobe Photoshop is the best pick for teams who need human-guided resizing with strict control, since Smart Objects let you scale and adjust without destructive recompositing, while FastStone Image Viewer fits desktop users who want quick batch resizing with EXIF preservation baked into the same workflow.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Adobe Photoshop
Smart Objects preserve edit history so scale and filter changes can be reapplied without destructive recompositing.
Best for: Fits when teams need human-guided resizing with strict color handling and iterative edits.
FastStone Image Viewer
Editor pickIntegrated batch resize with EXIF preservation and live preview inside the same viewer workflow.
Best for: Fits when desktop teams need batch photo resizing with metadata retention before upload.
Pixlr
Editor pickInteractive crop controls with aspect ratio locking streamline consistent framing across resized exports.
Best for: Fits when design teams need interactive resizing and quick exports for web and social assets.
Comparison Table
Adobe Photoshop
enterpriseIndustry-standard photo editor with precise image resizing, canvas scaling, and batch processing via actions.
Smart Objects preserve edit history so scale and filter changes can be reapplied without destructive recompositing.
Adobe Photoshop is the most widely used desktop raster editor in this resize category, and it handles resizing as part of a broader pixel workflow rather than a single-purpose image pipeline. Resize controls include crop and transform tools, resampling modes, and format-specific export paths for JPEG, PNG, and TIFF that keep visual intent under manual control.
Non-destructive options like adjustment layers and smart objects let resizing be applied later with less rework. Photoshop also preserves color-management context like ICC profiles and many EXIF fields during export when settings and workflows are aligned.
- +Non-destructive resizing via smart objects and adjustment layers
- +Resampling mode control supports deliberate quality tradeoffs
- +Color management exports with ICC profile preservation options
- +High-fidelity batch via Photoshop Actions and scripting
- –Command-line automation and throughput are not first-class for large-scale pipelines
- –Folder watch and event-driven resizing require external glue tooling
- –Accurate metadata retention needs careful export settings
- –GPU acceleration does not remove the need for manual review
Photographers and retouchers
Retouch details before resizing exports
Cleaner, polished resized photos
Graphic designers and compositing artists
Resize assets within editable composites
Editable composites after resizing
Show 2 more scenarios
Portrait retouching teams
Refine faces and garments during resizing
Targeted resized portrait edits
Use selection, mask, and adjustment workflows to correct portrait details then resize for final delivery.
Ecommerce product photo studios
Produce consistent resized catalog images
Consistent catalog-ready imagery
Create cutouts, controlled shadows, and consistent views then resize across catalog-ready exports.
Best for: Fits when teams need human-guided resizing with strict color handling and iterative edits.
FastStone Image Viewer
desktopWindows image viewer and editor featuring batch convert and resize with dimension and percentage controls.
Integrated batch resize with EXIF preservation and live preview inside the same viewer workflow.
FastStone Image Viewer fits photo-centric resizing needs with a batch pipeline that runs over folders and produces resized copies with controlled naming. Aspect ratio lock prevents accidental distortion, and multiple resampling modes help match downsampling outcomes to the target use. EXIF metadata retention is useful when the resized images must keep capture metadata for later indexing and review.
A key tradeoff is the lack of an API or server-side image processing endpoint for automated resizing inside web or mobile systems. FastStone Image Viewer works well when editors or photographers need to resize large sets before upload to a CMS, print workflow, or email distribution. It also fits Windows file-management workflows where drag-and-drop selection and immediate previews reduce the risk of resizing the wrong images.
- +Batch resizing from folders with consistent naming patterns
- +EXIF metadata retention supports downstream cataloging
- +Aspect ratio lock prevents distortion across large sets
- +Resampling options provide control over downsampling quality
- –No documented command-line interface for scripting resize jobs
- –Limited automation surface for remote pipelines
- –Windows-centric workflow reduces cross-platform deployment fit
- –No server-side processing for on-demand web resizing
Photographers and retouchers
Prepare resized proofs for client review
Less metadata loss during edits
Content operations teams
Preprocess images for a CMS upload
Fewer broken aspect ratios
Show 2 more scenarios
Print production coordinators
Scale images for print resolution needs
More predictable print inputs
Use aspect ratio lock and resampling choices to create print-ready resized masters.
Event organizers
Generate smaller shareable photo sets
Faster sharing with uniform sizing
Convert large event folders into consistent resized copies for distribution workflows.
Best for: Fits when desktop teams need batch photo resizing with metadata retention before upload.
Pixlr
web-basedOnline photo editor offering resize and crop tools across Pixlr X and Pixlr E interfaces.
Interactive crop controls with aspect ratio locking streamline consistent framing across resized exports.
Pixlr supports batch resizing workflows through its multi-image handling in the browser, letting users produce multiple size variants from one session. It includes crop presets, aspect ratio locking, and export settings that match common publishing needs like thumbnails and social posts. The editor’s interactive UI makes iteration quick for manual selection and composition adjustments before export.
A key tradeoff is that Pixlr’s resizing is optimized for user-driven editing rather than fully automated throughput for high-volume asset processing. It fits best when teams need occasional resized exports from mixed image sets, such as marketing images prepared between design review cycles.
- +Browser editing makes resizing and cropping available without local installs
- +Crop presets and aspect ratio lock reduce layout mistakes during export
- +Multi-image session flow supports producing several resized outputs quickly
- +Export controls are usable for everyday web and social dimensions
- –Automation and API surfaces are limited compared with developer image pipelines
- –Throughput for large asset batches is slower than dedicated resizer services
Marketing designers
Create social size variants
Consistent visuals across posts
E-commerce merchandisers
Prepare product thumbnails
Readable thumbnails on listings
Show 1 more scenario
Small teams
Resize mixed image sets
Faster turnaround for uploads
Uses browser batch handling to produce multiple output sizes from a shared input folder.
Best for: Fits when design teams need interactive resizing and quick exports for web and social assets.
Canva
SMBWeb-based design platform with one-click image resizing across preset social and print dimensions.
Multi-page template workflows let repeated photo placement inherit the same crop and framing rules across many outputs.
Canva resizes photos inside a design canvas by supporting preset and custom dimensions and by letting images be cropped and positioned as elements rather than exported as raw resized files.
- +Canvas resize presets cover common social and presentation formats
- +Crop and reposition tools update layout quickly across multiple assets
- +Exports integrate with existing design templates and page workflows
- +Non-destructive element edits reduce accidental permanent changes
- –No documented control over resampling behavior like Lanczos versus bicubic
- –EXIF metadata preservation is inconsistent for export workflows
- –Batch resizing automation is limited for high-volume pipelines
- –Developer API endpoints are not exposed for resize-only processing
Event organizers
Resize photos inside template collages
Printable collage designs
Small ecommerce sellers
Resize product images for listings
Listing-ready product creatives
Show 2 more scenarios
Marketing teams and small businesses
Resize images for social campaign graphics
Consistent social campaign set
Update campaign visuals by resizing photos within brand assets so exports fit digital publishing layouts.
Print-material creators
Resize images for label and flyer layouts
Production-ready print layouts
Compose print layouts with customizable templates and export resized design files for production review.
Best for: Fits when teams need fast, template-driven photo resizing inside a design workflow.
ILoveIMG
web-basedWeb suite of image tools including a dedicated resize function supporting pixel and percentage input.
EXIF metadata retention keeps camera tags across resized outputs without extra steps.
ILoveIMG’s resize flow centers on selecting images, choosing resize constraints, and running the job as a batch rather than as a single image action. Aspect ratio lock helps prevent unintended distortion when resizing by width and height, and EXIF metadata retention can preserve camera and lens fields for downstream cataloging. Output generation is geared toward saving resized files for web and print use, with consistent exports across a folder of inputs.
- +Batch resizing in a browser with drag-and-drop upload
- +Aspect ratio lock prevents stretching when using custom dimensions
- +EXIF metadata retention helps preserve camera-origin details
- +Consistent export for multiple resized files in one run
- –No documented API endpoint for automated image pipelines
- –Limited control over advanced raster processing parameters
- –Workflow depends on web upload, not local batch folders
- –Memory and file-size limits can interrupt large jobs
Marketing ops teams
Resize product images for campaigns
Faster campaign asset preparation
E-commerce catalog managers
Normalize thumbnails and gallery sizes
Reduced manual resizing work
Show 2 more scenarios
Photo coordinators
Prepare print-ready previews
Quicker review cycles
Applies dimension-based resizing to large sets for layout testing and proofs.
Small creative teams
Batch resize client deliverables
More consistent client outputs
Runs repeatable resize batches in the browser without local image software installs.
Best for: Fits when teams need occasional batch resizing without code or server integration.
Photopea
web-basedBrowser-based photo editor replicating Photoshop-style image resizing and canvas modification workflows.
Layer-aware resizing inside a full editing canvas so each layer can be adjusted before export.
Photopea delivers resize workflows inside a browser editor with layered raster tools, not just a simple image transcoder. Resizing is handled through manual crop plus resize dialogs that preserve common formats like JPEG and PNG and can keep transparency when the source supports it.
- +Browser-based resize and export without installing desktop software
- +Layered editor workflow supports adjustments before final resizing
- +Transparency preservation on PNG exports when resizing layers
- +Fast iteration with zoom and crop tools tied to resize output
- –No documented command-line interface for scripted resizing
- –Limited automation for true batch resizing across large folders
- –EXIF metadata retention is not consistent across all export paths
- –Color management controls are basic compared with dedicated pipeline tools
Marketing teams and freelancers
Resize layered campaign images
Updated campaign deliverables
Web content creators
Resize images for website publishing
Consistently sized web assets
Show 2 more scenarios
Ecommerce marketing teams
Resize and clean product photos
Cleaner product images
Refine cutouts and remove small defects, then resize images for listings or campaign creatives.
Support and operations teams
Crop and resize redacted screenshots
Sensitive info removed
Select and obscure details, crop, then resize screenshots before sharing externally.
Best for: Fits when occasional resizing is needed inside an editor workflow without building an automated pipeline.
GIMP
open-sourceFree open-source raster image editor with scale image and print size dialogs supporting multiple interpolation methods.
Non-destructive layer editing plus export-time control lets resizing happen after composite decisions without rebuilding assets.
GIMP fits teams that need local, editable raster workflows for resizing without locking into a hosted image pipeline. The image resizing toolset supports configurable scaling, crop, and resample choices like Lanczos and bicubic interpolation, plus layer-aware transforms for multi-layer files.
- +Lanczos and bicubic resampling choices per resize operation
- +Layer-aware resizing supports complex composites before export
- +Batch resizing via scripting and command-line workflows
- +Extensible plugin ecosystem for image processing steps
- –Metadata retention varies by export format and settings
- –Large-scale throughput needs scripting discipline and testing
- –UI-based resizing is slower than API-first resize services
- –Color management setup can be error-prone for print workflows
Photographers working locally
Resize edited camera photos for export
Export-ready resized photos
Photographers and retouchers
Resize while keeping retouch edits refineable
Independent refinable edits
Show 2 more scenarios
Scrapbook designers
Resize photos for layered collage pages
Custom collage pages
Build custom page compositions using layered control, then resize image components to fit layouts.
Small businesses and designers
Resize photo textures for label artwork
Custom label texture assets
Create or refine photo-based label graphics and raster textures using layers, then resize for design output.
Best for: Fits when desktop-based resizing and export control matter more than API-first throughput.
BeFunky
web-basedWeb-based photo editor with resize and crop tools integrated into a broader creative design suite.
Non-destructive edit history keeps resize and crop changes reversible during the session.
BeFunky is a web-based image editor aimed at resizing and quick visual edits without a developer workflow. It offers drag-and-drop resizing, crop presets, and export options for common formats like JPG, PNG, and WebP.
- +Fast drag-and-drop resize workflow with visible preview controls
- +Edit history supports reverting crop and resize steps
- +Crop presets and aspect ratio locking for repeatable compositions
- +Export supports modern web formats like WebP
- –No documented API endpoint for programmatic resizing and automation
- –Batch resizing is limited compared with dedicated pipeline tools
- –Metadata retention behavior is not designed for strict EXIF preservation needs
- –No GPU acceleration controls or throughput tuning for large queues
Home photographers and consumers
Resize photos for share-ready delivery
Share-ready personal images
Community event groups
Resize photos in themed collages
Organized collage set
Show 2 more scenarios
Product retailers and product marketers
Resize product images for online publishing
Consistent product images
Refine edges and remove or replace backgrounds, then resize images for consistent e-commerce presentation.
Freelance photographers
Resize and clean portrait event photos
Polished resized event photos
Use healing tools and portrait adjustments, then resize edited images for final delivery.
Best for: Fits when designers need interactive resizing and export for web graphics without code-driven automation.
ImageMagick
API-firstCommand-line image processing suite with resize operators supporting dozens of filter algorithms.
A single CLI with extensive convert and identify options supports repeatable resize pipelines across many image formats.
ImageMagick resizes photos through a command-line image processing engine and a rich set of format codecs. It supports scripted batch resizing, precise resampling controls, and metadata handling options that affect EXIF retention and color profile preservation.
- +Command-line batch resizing with consistent output parameters
- +Resampling control includes Lanczos and other interpolation choices
- +Format coverage spans common raster formats plus multipage TIFF
- +Metadata options support EXIF and color profile preservation
- –Complex option syntax makes it slower to adopt than GUI tools
- –High-throughput batch work needs careful resource limits and temp handling
- –Metadata behavior can change by conversion flags and settings
- –No built-in web API endpoint for resizing requests
Developers and operations teams
Batch resize and convert image sets
Consistent conversion outputs
E-commerce and media teams
Generate standardized resized thumbnails
Standardized preview thumbnails
Show 2 more scenarios
Build and release engineering
Automate repeatable resize jobs in CI
Automated image preparation
Execute deterministic image transformations from shell scripts inside build systems and continuous integration.
Design production and imaging teams
Resize while managing metadata behavior
Predictable color and metadata
Control colorspaces, profiles, and EXIF handling to keep color and metadata predictable in derivatives.
Best for: Fits when teams need scriptable, deterministic batch resizing with fine control and broad format support.
Squoosh
web-basedGoogle-hosted web app for image resizing and compression with side-by-side quality comparison.
Instant side-by-side results in the browser while adjusting width, height, and encoding targets.
Squoosh is a resize-focused web image tool that provides side-by-side previews for format conversion and sizing. It runs in the browser and uses worker-based processing so users can iterate on output settings like width, height, and output format.
- +Browser-based preview makes resize and format changes easy to validate visually
- +Side-by-side comparison helps choose settings without external tooling
- +Drag-and-drop workflow supports quick one-off resizing and transcoding
- +Exported outputs keep user-selected encoding settings consistently
- –No documented server API surface for automated image pipelines
- –Limited enterprise controls for teams like RBAC and audit logs
- –Batch resizing is not as workflow-native as folder watch pipelines
- –Large scale throughput is constrained by client-side processing
Photographers and image editors
Tune compression on a single photo
Individually tuned file
Small teams preparing websites
Resize images to fit page placements
Images sized for layouts
Show 2 more scenarios
Occasional image editors
Convert formats without installing tools
Converted image delivered
Use the browser workflow to convert common raster images and export the transformed file.
Web designers and front-end developers
Optimize web images with previews
Web-ready images with balance
Tune compression, compare visual quality, and export web-ready assets for publishing.
Best for: Fits when a team needs fast, browser-based resizing and format checks without building a pipeline.
Conclusion
After evaluating 10 resize photo software, Adobe Photoshop 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.
How to Choose the Right Resize Photo Software
Resize photo software turns source images into resized outputs for web, print, and asset pipelines using repeatable crop and resampling controls. This guide covers ILoveIMG for browser batch resizing with EXIF metadata retention, Pixlr for interactive crop-driven exports, FastStone Image Viewer for desktop batch workflows with metadata support, and Adobe Photoshop for iterative resizing using non-destructive Smart Objects.
The remaining tools covered include Canva for template-based multi-output resizing, GIMP and Photopea for layered desktop or browser editing with export-time control, Squoosh for side-by-side width and encoding checks, and ImageMagick for deterministic command-line resize pipelines. BeFunky and the other included options fill gaps across automation depth, batch throughput, and metadata handling.
Resize Photo Software for Controlled Resampling and Output Workflows
Resize photo software resizes images by applying interpolation choices, crop rules, and export settings so outputs stay consistent across large batches or iterative edits. ILoveIMG focuses on browser-based batch resizing with EXIF metadata retention and an aspect ratio lock that prevents stretching when custom dimensions are used.
Developer-oriented workflows typically prioritize automation surfaces and repeatable parameters, which is where ImageMagick provides a single command-line interface with extensive convert and identify options and resampling control such as Lanczos. Editor-oriented workflows typically prioritize non-destructive iteration and fine visual control, which is why Adobe Photoshop relies on Smart Objects to preserve edit history while resizing and filtering changes are reapplied without rebuilding composites.
Key features for Resize Photo Software with predictable outputs
Resize photo software must keep crop rules and output settings consistent so the same input batch produces the same results across repeated runs. This guide emphasizes the features that directly affect repeatability and downstream usability, including metadata handling and workflow automation surfaces.
EXIF metadata retention across resized exports
ILoveIMG keeps camera tags across resized outputs, which reduces cleanup work in later cataloging steps. FastStone Image Viewer also preserves EXIF during desktop batch resizing, while Canva reports inconsistent EXIF metadata preservation across export workflows.
Aspect ratio lock and crop preset control
ILoveIMG prevents stretching when custom dimensions are applied by enforcing an aspect ratio lock during resize. Pixlr and Canva both provide crop preset and framing tools, with Pixlr prioritizing interactive crop controls for consistent exports.
Automation surface for batch and pipeline resizing
ImageMagick provides a single CLI with extensive convert and identify options, which supports repeatable resize pipelines without a GUI. ILoveIMG and Squoosh do not include a documented server API surface for automated image pipelines, which pushes automation to external tooling.
Non-destructive iteration with layer and edit history
Adobe Photoshop uses Smart Objects to preserve edit history, so scale and filter changes can be reapplied without destructive recompositing. GIMP and Photopea support layer-aware editing so each layer can be adjusted before export.
Desktop versus browser workflow throughput
FastStone Image Viewer performs desktop batch resizing from folders with consistent naming patterns, which fits large photo uploads that need local control. Pixlr reports slower throughput for large asset batches than dedicated resizer services, while Squoosh targets quick browser checks rather than high-volume batch processing.
How to choose Resize Photo Software by workflow control and output reliability
Selection starts with the operating model, because browser tools prioritize interactive resizing and validation while CLI and pipeline tools prioritize deterministic parameters. The second axis is output integrity, because metadata retention and resampling choices determine whether outputs remain usable in cataloging, design, and print workflows.
Pick an automation shape first
Choose ImageMagick when resizing must run as a deterministic CLI batch across many image formats with resampling control such as Lanczos options. Choose ILoveIMG, Pixlr, Squoosh, or Photopea when resizing is interactive in a browser and the team does not require a documented server API surface for automated pipelines.
Decide how outputs must retain camera and catalog metadata
Choose ILoveIMG when camera tags must persist through resizing without extra steps, since its standout focuses on EXIF metadata retention. Choose FastStone Image Viewer for desktop batch workflows that also preserve EXIF, and avoid relying on Canva when EXIF metadata preservation is inconsistent across export workflows.
Lock framing behavior so resizing cannot stretch or drift
Choose ILoveIMG for aspect ratio lock during browser batch resizing to prevent stretching when custom dimensions are used. Choose Pixlr when teams need interactive crop controls with aspect ratio locking so framing stays consistent across exports.
Choose between pipeline determinism and editor iteration
Choose Adobe Photoshop when resizing must be iterative and tied to non-destructive Smart Objects so scale and filter changes can be reapplied. Choose GIMP or Photopea when each composite layer must be adjusted before export so resizing runs after composite decisions.
Validate performance expectations for batch volume
Choose desktop batch tools like FastStone Image Viewer when large folder-based resizing depends on consistent naming patterns before upload. Choose Pixlr only when throughput needs fit interactive design usage, since large asset batch resizing is reported as slower than dedicated resizer services.
Who should use which Resize Photo Software
Different teams need different control points, such as metadata retention, deterministic automation, or edit-history preservation. The segments below map specific tool strengths to the operating constraints implied by the workflow.
Web and creative ops teams doing occasional browser-based batch resizing
ILoveIMG fits teams that need browser batch resizing with drag-and-drop upload while keeping EXIF metadata retention intact and enforcing an aspect ratio lock.
Design teams producing quick web and social exports with consistent framing
Pixlr fits workflows where interactive crop controls and aspect ratio locking matter more than developer-grade automation, since its standout focuses on interactive framing consistency.
Desktop photo teams preparing uploads with metadata for downstream cataloging
FastStone Image Viewer fits desktop batch photo resizing from folders because its workflow includes EXIF metadata retention and live preview inside the same viewer path.
Developers and engineers running repeatable resize pipelines
ImageMagick fits pipeline requirements because its single CLI with extensive convert and identify options enables deterministic batch resizing with fine interpolation choices.
Studio teams resizing assets through iterative composition edits
Adobe Photoshop fits when Smart Objects and adjustment layers must preserve edit history during iterative resizing and filtering, since destructive recompositing is avoided.
Common mistakes when choosing Resize Photo Software
Misalignment between workflow and tool behavior causes predictable failure modes, such as missing automation hooks or inconsistent metadata outputs. The pitfalls below focus on choices that break pipelines rather than cosmetic export settings.
Selecting a browser resizer and discovering no automation API for pipeline runs
ILoveIMG and Squoosh lack a documented server API surface for automated image pipelines, so batch automation needs to be handled outside the tool.
Assuming all exports preserve EXIF metadata for later cataloging
Canva reports inconsistent EXIF metadata preservation across export workflows, while ILoveIMG and FastStone Image Viewer emphasize EXIF retention in their resize outputs.
Treating interactive framing tools as if they enforce output dimensional integrity
Pixlr includes aspect ratio locking in its interactive crop workflow, while tools without a strong framing constraint can produce stretched outputs when custom dimensions are applied.
Choosing an editor-first tool and expecting event-driven folder automation without glue tooling
Adobe Photoshop supports iterative non-destructive resizing via Smart Objects, but folder watch and event-driven resizing require external glue tooling rather than being first-class in the core resizing workflow.
Using a general browser editor for large asset batches without checking throughput
Pixlr is reported as slower for large asset batches than dedicated resizer services, so the choice can stall pipelines when batch counts climb.
How We Selected and Ranked These Tools
We evaluated each tool on feature depth for resizing workflows, ease of getting correct outputs quickly, and value for the actual task the tool supports. Feature coverage carried the largest weight at 40%, ease and value each carried 30%, and total score reflects the balance between automation and output integrity.
Automation depth influenced ordering by penalizing tools without a documented server API surface for pipeline use. ILoveIMG ranked first because it pairs browser batch resizing with EXIF metadata retention and an aspect ratio lock that prevents stretching when custom dimensions are used.
Frequently Asked Questions About Resize Photo Software
How do ILoveIMG, Squoosh, and ImageMagick handle batch resizing in different workflows?
Which tool is better for preserving EXIF metadata during resize exports: ILoveIMG, FastStone Image Viewer, or Photoshop?
How does aspect ratio lock differ between Pixlr, FastStone Image Viewer, and Canva?
When is GIMP the right choice for resampling control compared with browser editors like Photopea?
What breaks if a workflow needs scriptable, deterministic resizing across many formats: Photopea, Squoosh, or ImageMagick?
How do Squoosh and Photoshop differ in handling non-destructive editing around resizing?
Which tool supports automation via command-line more directly: GIMP, ImageMagick, or ILoveIMG?
How do exports differ between Canva and developer-oriented resize engines when format handling must be predictable?
What security and governance controls exist for SSO and access management in resize tools like Cloudinary or imgix, and how do the included tools compare?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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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