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Art DesignTop 10 Best Auto Photo Editing Software of 2026
Top 10 Auto Photo Editing Software ranked by features and ease of use, including Adobe Photoshop, Lightroom, and Luminar Neo for photographers.
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.
Adobe Photoshop
Auto tone and texture adjustments inside the Develop module
Built for photographers needing repeatable auto edits with strong organization and cross-device workflow.
Adobe Lightroom
Editor pickAuto tone and texture adjustments inside the Develop module
Built for photographers needing repeatable auto edits with strong organization and cross-device workflow.
Luminar Neo
Editor pickAI Sky Replacement and enhancements using Sky AI tools
Built for photographers seeking fast AI photo retouching for portraits and landscapes.
Related reading
Comparison Table
This comparison table ranks the top tools for automated photo editing, including Adobe Photoshop, Adobe Lightroom, and Luminar Neo, using integration depth, data model, automation and API surface, and admin and governance controls. It breaks down how each app handles configuration and extensibility, including provisioning paths, RBAC boundaries, and audit log coverage where available, plus workflow throughput for batch processing. The goal is to map tradeoffs between desktop-centric pipelines and AI-assisted automation across consistent schema and automation primitives.
Adobe Lightroom
photo organizerApplies AI-based enhancements, batch presets, and non-destructive edits to automate common photo corrections and styling.
Auto tone and texture adjustments inside the Develop module
Lightroom stands out with its catalog-based, non-destructive editing workflow and strong organizational tools. It delivers fast one-click auto adjustments, plus manual controls for exposure, color, optics, and local edits.
Adobe’s ecosystem support ties Lightroom edits to cloud workflows and mobile editing so edits stay consistent across devices. Automation remains focused on photo enhancement rather than full scene-level generative transformations.
- +Non-destructive edits with robust raw processing and detailed color controls
- +Smart collections and catalog organization speed up large photo triage
- +Auto enhancements plus guided tools for consistent results across batches
- +Cloud-synced workflow keeps edits accessible on desktop and mobile
- –Auto results may require manual refinement for mixed lighting and skin tones
- –Catalog management and syncing add complexity for smaller workflows
Wedding and event photographers who deliver many edits per session
Batch-importing wedding images into a catalog, applying auto enhancements, and then using curated manual tweaks for exposure and color consistency.
Shortened turnaround time from import to a consistent, client-ready set of selects.
Portrait photographers who need repeatable skin and lighting results
Running one-click auto adjustments on portraits, then correcting exposure, white balance, and local lighting with targeted edits.
More consistent portrait appearance across shoots while keeping retouching adjustments manageable.
Show 2 more scenarios
Content creators who edit on desktop and mobile
Capturing on a phone, performing quick auto enhancements in the Lightroom mobile workflow, and continuing the same edits on a desktop catalog.
Fewer rework cycles because edits carry forward across devices during production.
Edits created across devices remain consistent through Adobe’s cloud-backed Lightroom workflow. Auto adjustments reduce the time spent on initial cleanup before deeper refinement.
Real estate photographers who manage property photo sets and perspective fixes
Applying auto adjustments for quick overall improvement and then using optics and color tools to standardize each property’s image series.
More uniform property galleries with less manual correction per image.
Lightroom provides fast enhancement from auto settings as a starting point for each upload. Optics-related controls help correct common image characteristics while color adjustments keep sets visually aligned.
Best for: Photographers needing repeatable auto edits with strong organization and cross-device workflow
More related reading
Adobe Lightroom
photo organizerApplies AI-based enhancements, batch presets, and non-destructive edits to automate common photo corrections and styling.
Auto tone and texture adjustments inside the Develop module
Lightroom stands out with its catalog-based, non-destructive editing workflow and strong organizational tools. It delivers fast one-click auto adjustments, plus manual controls for exposure, color, optics, and local edits.
Adobe’s ecosystem support ties Lightroom edits to cloud workflows and mobile editing so edits stay consistent across devices. Automation remains focused on photo enhancement rather than full scene-level generative transformations.
- +Non-destructive edits with robust raw processing and detailed color controls
- +Smart collections and catalog organization speed up large photo triage
- +Auto enhancements plus guided tools for consistent results across batches
- +Cloud-synced workflow keeps edits accessible on desktop and mobile
- –Auto results may require manual refinement for mixed lighting and skin tones
- –Catalog management and syncing add complexity for smaller workflows
Wedding and event photographers who deliver many edits per session
Batch-importing wedding images into a catalog, applying auto enhancements, and then using curated manual tweaks for exposure and color consistency.
Shortened turnaround time from import to a consistent, client-ready set of selects.
Portrait photographers who need repeatable skin and lighting results
Running one-click auto adjustments on portraits, then correcting exposure, white balance, and local lighting with targeted edits.
More consistent portrait appearance across shoots while keeping retouching adjustments manageable.
Show 2 more scenarios
Content creators who edit on desktop and mobile
Capturing on a phone, performing quick auto enhancements in the Lightroom mobile workflow, and continuing the same edits on a desktop catalog.
Fewer rework cycles because edits carry forward across devices during production.
Edits created across devices remain consistent through Adobe’s cloud-backed Lightroom workflow. Auto adjustments reduce the time spent on initial cleanup before deeper refinement.
Real estate photographers who manage property photo sets and perspective fixes
Applying auto adjustments for quick overall improvement and then using optics and color tools to standardize each property’s image series.
More uniform property galleries with less manual correction per image.
Lightroom provides fast enhancement from auto settings as a starting point for each upload. Optics-related controls help correct common image characteristics while color adjustments keep sets visually aligned.
Best for: Photographers needing repeatable auto edits with strong organization and cross-device workflow
Luminar Neo
AI editsProvides AI-powered photo editing tools for relighting, sky replacement, and one-click appearance adjustments.
AI Sky Replacement and enhancements using Sky AI tools
Luminar Neo stands out for its AI-driven creative editing built around guided sliders and one-click looks. It supports automated portrait, sky, and general photo enhancements using localized tools and AI masks.
Core capabilities include background replacement, object removal, and batch-style workflows that reduce manual retouching time. It targets photographers who want fast, repeatable results without building complex editing pipelines.
- +AI sky and subject enhancements deliver noticeable edits quickly
- +Background replacement and object removal reduce manual cleanup work
- +AI masking enables targeted adjustments without heavy selection labor
- +Batch workflows help apply consistent looks across multiple photos
- –AI results can require refinement for challenging lighting and skin tones
- –Advanced manual controls feel less deep than specialist editors
- –Performance can lag on large catalogs with heavy masking layers
Wedding and event photographers
Turn hundreds of mixed-lighting images into consistent portraits and skies using AI masks and guided sliders.
A faster path from raw imports to deliverable selects with more consistent look across the same event.
Real estate photo editors
Prepare interior and exterior listings by cleaning distractions and swapping or correcting backgrounds.
Listing-ready images with fewer manual retouching steps and more uniform composition for each property.
Show 1 more scenario
Enthusiast photographers posting on social media
Create quick one-click looks for portraits, landscapes, and everyday photos without learning advanced editing workflows.
More polished posts with less time spent tweaking settings for each new photo.
Guided sliders and one-click creative presets provide repeatable edits across different scenes. AI-based sky and portrait improvements reduce the need for manual layer work.
Best for: Photographers seeking fast AI photo retouching for portraits and landscapes
Topaz DeNoise AI
denoise AIReduces camera noise with AI denoising to preserve edges and textures while improving low-light images.
DeNoise AI’s model-based denoising that cleans noise while protecting sharpness
Topaz DeNoise AI stands out for its AI-driven denoising that targets noise patterns without requiring manual noise modeling. It supports one-click cleanup workflows and also offers granular control for strength and output processing across single images. The tool is commonly used to restore detail in high-ISO photos while minimizing the plastic look from aggressive denoise settings.
- +AI denoising reduces grain while preserving edge detail effectively
- +Fast single-image workflow with straightforward controls and predictable results
- +Good for high-ISO noise where traditional filters smear textures
- –Over-aggressive settings can still erase fine texture detail
- –Limited beyond denoising, so users need separate tools for other edits
- –Denoising strength tuning may require iterations for mixed-light scenes
Best for: Photographers needing reliable AI noise removal for high-ISO and low-light images
Topaz DeNoise AI
denoise AIReduces camera noise with AI denoising to preserve edges and textures while improving low-light images.
DeNoise AI’s model-based denoising that cleans noise while protecting sharpness
Topaz DeNoise AI stands out for its AI-driven denoising that targets noise patterns without requiring manual noise modeling. It supports one-click cleanup workflows and also offers granular control for strength and output processing across single images. The tool is commonly used to restore detail in high-ISO photos while minimizing the plastic look from aggressive denoise settings.
- +AI denoising reduces grain while preserving edge detail effectively
- +Fast single-image workflow with straightforward controls and predictable results
- +Good for high-ISO noise where traditional filters smear textures
- –Over-aggressive settings can still erase fine texture detail
- –Limited beyond denoising, so users need separate tools for other edits
- –Denoising strength tuning may require iterations for mixed-light scenes
Best for: Photographers needing reliable AI noise removal for high-ISO and low-light images
Topaz DeNoise AI
denoise AIReduces camera noise with AI denoising to preserve edges and textures while improving low-light images.
DeNoise AI’s model-based denoising that cleans noise while protecting sharpness
Topaz DeNoise AI stands out for its AI-driven denoising that targets noise patterns without requiring manual noise modeling. It supports one-click cleanup workflows and also offers granular control for strength and output processing across single images. The tool is commonly used to restore detail in high-ISO photos while minimizing the plastic look from aggressive denoise settings.
- +AI denoising reduces grain while preserving edge detail effectively
- +Fast single-image workflow with straightforward controls and predictable results
- +Good for high-ISO noise where traditional filters smear textures
- –Over-aggressive settings can still erase fine texture detail
- –Limited beyond denoising, so users need separate tools for other edits
- –Denoising strength tuning may require iterations for mixed-light scenes
Best for: Photographers needing reliable AI noise removal for high-ISO and low-light images
Canva
web editorApplies automated background removal, photo enhancements, and template-driven image editing for fast art-ready outputs.
Background Remover for quick subject cutouts with one-click edge handling
Canva stands out for combining design templates with lightweight photo editing in a simple, drag-and-drop workflow. Core editing tools include background removal, automatic enhancements, and filters that quickly improve image appearance. Layout tools help position edited photos into posts, flyers, and presentations without switching applications.
- +Background Remover simplifies cutouts for photos and product images
- +Auto enhancements and filters improve image look with minimal steps
- +Template-driven layouts reduce time spent redesigning photo compositions
- +Batch-ready workflow across templates and projects keeps outputs consistent
- –Auto editing lacks pro-grade masking, retouching, and fine control
- –RAW workflows are limited compared with dedicated photo editors
- –Exports can require manual tuning for print and high-detail finishing
- –Advanced color grading tools are less granular than specialist software
Best for: Creators needing fast auto photo fixes inside template-based design workflows
Fotor
AI effectsOffers AI photo effects, background tools, and one-tap enhancements for quick stylized edits.
One-click Auto Enhance for exposure, color, and sharpness adjustments
Fotor stands out with an always-on auto enhancement flow that targets common image issues like exposure, color balance, and sharpness. It pairs automated edits with manual tools for cropping, retouching, and style-based transformations, making it suitable for fast photo cleanup and consistent look creation.
Export options support common sharing formats, and the interface keeps the editing steps short for single images and light batch needs. The result is a practical auto editing workspace that prioritizes quick visual improvements over deep, layer-based control.
- +Auto enhance quickly improves exposure and color without complex settings
- +Style presets help produce consistent looks across similar photos
- +Editing canvas stays simple with clear, step-by-step controls
- +Export options cover common formats for immediate sharing
- –Automation can over-sharpen and reduce subtle detail in some photos
- –Advanced workflows like multi-layer compositing are limited
- –Batch editing support is not as robust as dedicated photo editors
- –Fine-grained color grading needs more manual tweaking
Best for: Solo creators needing fast auto photo improvements and light creative styling
Pixlr
browser editorProvides browser-based photo editing with automated features like one-tap enhancements and effect filters.
Auto Enhance for one-click lighting and color improvements before manual fine-tuning
Pixlr stands out for its mix of automated photo fixes and a full browser-based editor with layered controls. It supports one-click enhancements like auto-adjustments, plus manual tools such as crop, rotate, color tuning, and retouching.
The workflow stays in a web interface without requiring local installs, which helps for quick edits and straightforward sharing. Automated results are strongest for common lighting and color issues, while complex compositing still depends on manual steps.
- +Browser-based editor enables instant photo edits without local software setup
- +Auto-enhancement tools fix common lighting and color issues quickly
- +Layer-like editing and adjustment controls support more than basic one-click fixes
- +Retouch and quick cleanup tools help produce social-ready images fast
- –Automation handles routine fixes better than advanced batch or style matching
- –Complex workflows require manual adjustments that reduce time savings
- –Finer professional controls and output options are limited versus desktop editors
Best for: Casual creators needing fast web-based auto photo enhancements and light retouching
Remove.bg
background removalAutomatically removes photo backgrounds using AI segmentation to enable fast cutouts for design workflows.
One-click background removal with transparent PNG export and refined edge detection
Remove.bg stands out for automating background removal from photos with minimal setup. The service detects the subject and outputs a transparent PNG or editable cutout. It supports batch-style processing and basic refinements like hair edge handling for common product and portrait images.
- +Automatic background removal produces transparent PNG cutouts quickly.
- +Hair and fine-edge handling works well for many portraits.
- +Simple batch processing supports high-volume cutout workflows.
- –Limited creative editing tools beyond segmentation and cutout output.
- –Complex scenes with occlusion can require manual correction elsewhere.
- –No integrated project workspace for multi-step design pipelines.
Best for: E-commerce and marketing teams needing fast background removal at scale
Conclusion
After evaluating 10 art design, Adobe Lightroom 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 Auto Photo Editing Software
This buyer's guide covers Adobe Photoshop, Adobe Lightroom, Luminar Neo, Topaz Photo AI, Topaz Gigapixel AI, Topaz DeNoise AI, Canva, Fotor, Pixlr, and Remove.bg for automated photo edits.
It focuses on integration, data model fit, automation and API surface, plus admin and governance controls. The guide also compares how each tool handles auto adjustments like tone and texture, AI masking, and one-click background removal.
Auto photo editing tools that generate edits with AI rules, not just presets
Auto photo editing software runs automated image adjustments such as one-click tone and texture changes, AI denoising, sky replacement, and background removal based on the photo content. Tools like Adobe Lightroom and Adobe Photoshop apply auto enhancements inside a catalog-driven workflow so edits stay non-destructive and repeatable.
Teams and creators use these tools to reduce manual retouch time for common issues like mixed lighting, grainy high-ISO noise, and subject cutouts. The same class of tools also supports batch-style consistency through guided looks in Luminar Neo and one-click enhancements in Pixlr and Fotor.
Evaluation criteria for automation depth, workflow fit, and control surfaces
Auto editing quality depends on what the automation actually modifies and where those changes live in the workflow. Adobe Lightroom and Adobe Photoshop both keep edits non-destructive and place auto tone and texture inside the Develop module, which supports consistent refinement after the first pass.
The right tool also depends on how the system scales. Luminar Neo and Topaz tools focus on image-level transformations and may require separate steps for edits beyond their primary automation targets, while Canva, Pixlr, and Remove.bg focus on fast web or cutout outputs that fit design or commerce pipelines.
Develop-module auto adjustments tied to a non-destructive editing model
Adobe Photoshop and Adobe Lightroom apply auto tone and texture adjustments inside the Develop module while keeping edits non-destructive. This structure matters because it enables iterative refinement after auto corrections on mixed lighting and skin tones.
AI masking and localized automation versus scene-wide generative edits
Luminar Neo uses AI masking for targeted adjustments and includes AI Sky Replacement via Sky AI tools. This matters because localized automation supports quick subject and sky edits without building complex selection workflows.
Automation that targets noise or detail restoration as a dedicated pipeline
Topaz DeNoise AI, Topaz Photo AI, and Topaz Gigapixel AI focus on model-based denoising that cleans noise while protecting sharpness. This matters when high-ISO grain reduction is the dominant problem and users need predictable one-click denoise outputs with control over strength.
Batch-style look consistency across multiple photos
Luminar Neo provides batch-style workflows for applying consistent looks across multiple photos. Canva also supports batch-ready workflows across templates and projects, which helps keep output variations under control for marketing and creator content.
Background segmentation automation for transparent cutouts at scale
Remove.bg automates background removal with one-click transparent PNG output and refined edge detection for hair and fine edges. This matters for e-commerce and marketing teams that need fast cutouts without an integrated multi-step retouch workspace.
Organization and catalog controls for large photo triage
Adobe Photoshop and Adobe Lightroom use Smart collections and catalog organization to speed up large photo triage. This matters because auto edits often start as bulk sorting and selection, and catalog management becomes a control point for throughput.
Choose based on where automation writes changes and how controls scale
First decide which automation domain matches the dominant edits needed. Adobe Lightroom and Adobe Photoshop fit workflows that require auto enhancements tied to a non-destructive catalog workflow, while Luminar Neo fits portrait and landscape retouching with AI sky replacement.
Second decide how the automation should integrate into the daily pipeline. Remove.bg fits design and commerce pipelines that need transparent PNG cutouts, while Pixlr and Fotor fit browser or simple single-image workflows with one-click enhancement steps.
Map your top edit types to the tool's primary automation target
If the workflow is dominated by auto tone and texture corrections inside a Develop module, start with Adobe Lightroom or Adobe Photoshop. If the workflow is dominated by AI sky replacement and background replacement, use Luminar Neo.
Check whether the tool keeps edits non-destructive and editable after auto runs
Choose Adobe Lightroom or Adobe Photoshop when auto results need manual refinement on mixed lighting and skin tones. Choose Luminar Neo when AI masking lets targeted adjustments be re-tuned after the first pass, especially around sky and subject boundaries.
Validate throughput by confirming batch workflow support in the way the team works
For teams applying consistent looks across large sets, pick Luminar Neo for batch-style workflows or Canva for batch-ready template and project outputs. For single-image cleanup where speed matters more than deep workflow design, pick Pixlr or Fotor.
Match background cutout requirements to the segmentation output format
If the requirement is transparent PNG output and refined hair edge handling, choose Remove.bg. If the requirement is web-based background removal as part of template design, use Canva Background Remover for quick cutouts with one-click edge handling.
Separate denoise and upscale stages when detail preservation is the constraint
When grain reduction in high-ISO images is the priority, start with Topaz DeNoise AI or Topaz Photo AI and tune denoising strength to avoid erasing fine texture detail. When upscaling is also needed, add Topaz Gigapixel AI for AI super-resolution while keeping denoising as the first quality gate.
Which teams get the most value from auto photo editing automation
Auto editing tools align to different operational needs based on whether edits must be catalog-governed, batch-applied, or exported as cutouts. Adobe Lightroom and Adobe Photoshop fit photographers who need repeatable auto edits plus organization for large triage.
Other tools specialize in fast image transformations that reduce manual cleanup. Luminar Neo targets portraits and landscapes with AI masking, while Remove.bg targets e-commerce workflows built around transparent PNG cutouts.
Photographers who triage large libraries and want consistent auto tone fixes
Adobe Lightroom and Adobe Photoshop excel because both support Smart collections and catalog organization and apply auto tone and texture adjustments inside the Develop module. This fit supports repeated auto enhancements followed by manual refinement when lighting or skin tones require changes.
Photographers who need fast AI retouching for portraits, skies, and localized enhancements
Luminar Neo is the best match because AI masking and Sky AI Sky Replacement drive one-click sky and subject enhancements. This reduces manual selection labor for common landscape and portrait edits and supports batch-style workflows for consistent looks.
Photographers focused on high-ISO noise removal and texture-safe denoising
Topaz DeNoise AI, Topaz Photo AI, and Topaz Gigapixel AI target model-based denoising that cleans noise while protecting sharpness. These tools fit low-light and high-ISO scenarios where traditional denoise can smear textures, but they require separate tools for edits beyond denoising.
Creators and marketing teams that need cutouts at scale inside design workflows
Remove.bg is built for one-click background removal with transparent PNG output and refined edge handling for hair and fine edges. Canva fits teams who need background cutouts plus template-driven layouts in a single design workflow using Background Remover.
Solo creators who need quick auto improvements without deep workflow controls
Fotor and Pixlr fit solo creators because both provide one-tap or one-click Auto Enhance for exposure, color, and sharpness or for one-click lighting and color improvements. These tools trade advanced multi-layer compositing and fine-grained color grading for speed.
Pitfalls that cause auto editing to slow down or degrade image quality
Mistakes usually come from choosing a tool whose automation scope does not match the edits needed. Luminar Neo and Topaz tools can require refinement for challenging lighting and skin tones, and their specialist scope can force multi-tool pipelines for full retouching.
Other failures come from expecting auto results to remove the need for manual selection and layer control. Canva and Pixlr prioritize quick outcomes and limited pro-grade masking, and Remove.bg outputs cutouts without an integrated multi-step project workspace.
Assuming one-click auto edits will hold up across mixed lighting and skin tones
Adobe Lightroom and Adobe Photoshop both generate auto enhancements that still require manual refinement on mixed lighting and skin tones. Planning for manual adjustment keeps output consistent instead of chasing artifacts after export.
Buying denoise-first tools and expecting them to handle full scene retouching
Topaz DeNoise AI, Topaz Photo AI, and Topaz Gigapixel AI focus on model-based denoising and share denoise control constraints like tuning strength to avoid erasing fine texture detail. Users should pair them with another editor for color grading, retouch, and composition changes because these tools have limited edits beyond denoising.
Using template-first editors for pro-grade masking and detailed retouching
Canva and Pixlr provide automated improvements and background cutouts but auto editing lacks pro-grade masking, retouching, and fine control. If edge work needs deep layer edits, use Adobe Photoshop or Lightroom instead of relying on lightweight auto masking.
Expecting background cutout automation to replace all downstream correction work
Remove.bg handles occlusion challenges with limited automation and may require manual correction elsewhere for complex scenes. For hair and fine edges it performs well, but complex occlusions still demand a downstream cleanup step.
How We Selected and Ranked These Tools
We evaluated Adobe Photoshop, Adobe Lightroom, Luminar Neo, Topaz Photo AI, Topaz Gigapixel AI, Topaz DeNoise AI, Canva, Fotor, Pixlr, and Remove.bg using criteria-based scoring that favored features most, then ease of use, then value. The overall rating used a weighted average in which features carried the most weight at forty percent, while ease of use and value each accounted for thirty percent.
Adobe Photoshop separated itself from the lower-ranked tools because it pairs auto tone and texture adjustments inside the Develop module with non-destructive edits, detailed color controls, and organization features like Smart collections that speed large photo triage. That combination lifted both the features and ease-of-use factors for repeatable auto enhancement followed by controlled refinement.
Frequently Asked Questions About Auto Photo Editing Software
How do Adobe Lightroom and Adobe Photoshop handle one-click auto edits compared with AI tools like Luminar Neo?
Which tool is better for organizing and reusing edits across a large photo library, Lightroom or Luminar Neo?
What are the main differences between Topaz Photo AI and Topaz DeNoise AI when the priority is noise removal?
How does a batch workflow compare across Topaz Gigapixel AI, Topaz DeNoise AI, and Luminar Neo?
Which tool fits faster background removal at scale, Remove.bg or Canva?
What does Pixlr offer that web-based auto enhancement tools typically do not, compared with Canva?
How does Fotor’s always-on auto enhancement approach differ from Lightroom’s Develop module automation?
What security and access control considerations matter for teams using these tools, especially for cloud workflows in Adobe Lightroom?
How should data migration be handled when moving from Lightroom to Photoshop or to AI editors like Topaz and Luminar Neo?
Do these tools support automation via integration and APIs for pipelines, or is automation mostly manual and batch based?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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