Slazzer
Automatic background removal from images using artificial intelligence
- Vendor
- Netflairs Technology Private Limited
- Also known as
- slazzer
Available worldwide
What is Slazzer?
An AI photo editor that automatically removes backgrounds from images with high accuracy for fine details like hair and fur. Available as a web app, iOS/Android mobile apps, desktop software (Windows/Mac/Linux), and REST API with support for bulk processing of thousands of images, plus integrations with ecommerce and design platforms.
Slazzer pricing
Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.
Credit-based subscription (100-50,000 credits/month) or one-time top-ups. Free tier for preview images. 10-day money-back guarantee.
Monthly Subscription
Credit-based monthly subscription plans
- credits
- 100 to 50,000 per month
Top-Up
One-time credit purchase
Free Tier
FreeFree preview images at reduced quality
What Slazzer does
The capabilities that matter for background removal, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Architecture model
- Managed cloud API
- Fully automatic zero click AI masking model
- ✓
- Fine detail hair and fur edge detection accuracy
- ✓
- Bulk batch processing for entire ecommerce catalogs
- ✓
- Automatic drop shadow and reflection rendering
- ✓
- AI generative background replacement prompting
- ✓
- Manual brush fallback tools for mask correction
- ✓
- Shopify app store native integration
- -
- Figma and photoshop plugin extensions
- -
- Transparent png and psd photoshop file export
- -
- SOC2 type ii
- -
- ISO 27001
- -
- Pricing model
- Pay per image credit API
Platform & deployment
Independently observed- iOS
- macOS
- Web
- Linux
- Android
- Windows
- Cloud / SaaS
- Hybrid
- On-premise
Integrations (9)
Independently observed- Amazon
- eBay
- Etsy
- Walmart
- Alibaba
- Flipkart
- Rakuten
- Shopify
- AliExpress
Security & compliance
Independently observed- Binding Corporate Rulesactive
Slazzer alternatives
Other background removal we track, ranked by the same independent score.
- Clipping MagicAutomatically remove backgrounds from images using AI, with manual editing and enhancement optionslow · 29%
- Claid.aiAutomatically generate, edit, and enhance product images with AImedium · 54%
- Removal.AIAutomatically remove image backgrounds using AImedium · 55%
- rembgRemove backgrounds from imageslow · 19%
- Erase.bgAI-powered background remover that processes images automaticallylow · 38%
- Remove.bgAutomatically remove image backgrounds for freemedium · 56%
Compare Slazzer
Side by side against other background removal, attribute by attribute, with a source on every value.
The Vioscale score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Slazzer, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Price level | 80 | 0.05 | 4.2 | ✓ |
| Capabilities | 81 | 0.05 | 4.0 | ✓ |
| Pricing transparency | 25 | 0.08 | 2.1 | ✓ |
| Integrations | 29 | 0.04 | 1.2 | ✓ |
| Reliability | 0 | 0.07 | 0.0 | - |
| Security posture | 5 | 0.07 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Pricing model: pay_per_image_credit_api · Architecture model: managed_cloud_api · Fully automatic zero click ai masking model: Yes · Ai generative background replacement prompting: Yes · Automatic drop shadow and reflection rendering: Yes · Manual brush fallback tools for mask correction: Yes | mediumsource · 2026-09-01 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 9 | mediumsource · 2026-09-01 · 60% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-09-01 · 75% |