DeepImage
by DEEP-IMAGE.AI sp. z o.o.
Upscale, enhance and generate images through one credit-based API
Deep-Image.ai is a cloud image enhancement and generation platform that upscales photographs to as much as 300 megapixels while removing noise, blur and JPEG artefacts. It bundles background removal, uncropping, inpainting, face swapping, avatar generation and real-estate virtual staging behind a single credit-based API, aimed at e-commerce, real-estate, print and marketing teams processing images in bulk rather than one at a time.
Deep-Image.ai is a cloud platform from the Polish entity DEEP-IMAGE.AI sp. z o.o., developed with the software house Teonite, that combines AI image enhancement and generation in one product. Its original and still-central capability is super-resolution upscaling: 2x, 3x, 4x, 8x and higher, up to roughly 300 megapixels, with the models trained to preserve original texture and detail while removing noise, blur and compression artefacts. Around that core it has assembled an unusually wide operation set — AI Enhancer Studio for upscale, sharpen and denoise; Generative Upscale, which synthesises new detail as it increases resolution; one-click Auto Enhance for noise and colour correction; a text-to-image generator; background removal and replacement; Uncrop for outpainting beyond the original frame; inpainting and prompt-based editing; face swap and enhancement; an Avatar Creator and business-portrait generator; a document upscaler; and virtual staging that places furniture into empty real-estate photographs. The commercial hook is the API rather than the web app: multiple compatible operations can be chained into a single request and billed as one credit, so an upscale plus denoise plus background removal costs the same as an upscale alone, which makes per-image cost forecastable in a way that stitching together several single-purpose vendors does not. The API is asynchronous with webhook callbacks, documented at documentation.deep-image.ai with an official Python client on GitHub, and generation now routes through six models including Gemini 3 Pro, Qwen and SeeDream 4.5 alongside the company's own proprietary enhancement models. No-code users reach the same operations through Zapier and Make.com, with Google Drive, Dropbox, OneDrive and AWS connectors for bulk pipelines. The product dates back at least to 2020, when a founder described it on Hacker News as a convolutional-neural-network upscaling service that had just added payments.
The e-commerce, real-estate or print operations lead with a large catalogue of low-resolution or inconsistent images who needs them fixed programmatically in bulk, not retouched one at a time in an editor.
One API call chains upscale, denoise and background work into a single billed credit, so a whole catalogue can be normalised at a per-image cost you can forecast before you start.
At a Glance
- Category
- Image & Design
- Pricing
- Freemium, Subscription, Usage-based
- Target Market
- Marketing Leaders, E-commerce Operations, Enterprise Developers, Creative Directors, Real Estate Technology Teams
- Deployment
- Cloud-only, API-based
- Headquarters
- Poland
Key Features
- ✓Super-resolution upscaling to 300 megapixels
Enlarges images 2x through 16x while preserving texture and detail, which is what makes low-resolution supplier or archive photography usable for print and large-format output.
- ✓Chained operations billed as one credit
Multiple compatible operations combine into a single API request charged as one credit, so adding denoise and background removal to an upscale does not multiply the per-image cost.
- ✓Generative Upscale and Uncrop
Synthesises plausible new detail while increasing resolution and extends the canvas beyond the original frame, which solves the common problem of a crop that is the wrong aspect ratio for a channel.
- ✓Virtual staging for real estate
Places furniture into photographs of empty rooms, replacing a physical staging cost that runs into hundreds of dollars per listing with a per-image credit.
- ✓Asynchronous API with webhooks and a Python client
Jobs are submitted and returned via callback rather than blocking, with an official Python client and documentation, which is what makes bulk catalogue processing practical in production.
- ✓No-code integrations for non-developers
Zapier and Make.com connectors plus Google Drive, Dropbox, OneDrive and AWS storage hooks let operations teams build batch pipelines without engineering involvement.
Capabilities
Use Cases
- •Normalising a supplier product catalogue
An e-commerce team pushes thousands of inconsistent supplier images through one chained API call to upscale, denoise and strip backgrounds to a single storefront standard.
- •Virtually staging empty property listings
An agency furnishes photographs of vacant rooms at a per-image credit instead of paying for physical staging, shortening the gap between vacancy and listing.
- •Preparing low-resolution assets for print
A print shop enlarges archive or client-supplied images far beyond their native resolution and removes JPEG artefacts so they hold up at large format.
- •Generating business portraits and avatars at scale
An HR or marketing team turns ordinary employee selfies into consistent business headshots for a directory without booking a photographer.
- •Automated image pipelines without engineering
An operations team wires Google Drive or Dropbox to the platform through Zapier or Make so newly dropped images are enhanced automatically on arrival.
Ideal For
Best For
- ✓E-commerce teams normalising a large product catalogue of inconsistent, low-resolution supplier photographs into a single usable standard
- ✓Real-estate listings that need empty rooms virtually staged and dim interior shots corrected at listing volume
- ✓Print and large-format production where source images must be enlarged well beyond their native resolution without visible artefacts
- ✓Developers who want one asynchronous API and credit meter instead of integrating separate upscale, background-removal and generation vendors
- ✓Marketing and social teams generating avatars and business portraits from ordinary selfies without a photo shoot
Not Ideal For
- ✗Enterprise procurement with a security review: the vendor publishes no SOC 2, ISO 27001 or HIPAA attestation and no data-residency commitment, and it is a small Polish entity with no disclosed funding or headcount
- ✗Buyers who require verified third-party validation before purchase — the review sites that would carry a rating (G2, GoodFirms, SaaSworthy) are gated to unattended requests, and in six years the only Hacker News mention is a 2020 comment from the project's own founder
- ✗Occasional users who just need a single image upscaled: the free tier is five credits with watermarked output, a mandatory account and a 4,096-pixel cap, while rivals such as Upscale.media and Waifu2x do basic upscaling free and unwatermarked
- ✗Teams that need a native Shopify app — the listing exists but the app is currently unavailable on the Shopify App Store, so that commerce integration cannot be installed today
Integrations
Deployment
Market Analysis
Pros
- ✓One credit covers a full chained workflow, which makes bulk per-image cost genuinely forecastable instead of the sum of several vendors' per-operation charges
- ✓Operation coverage is far wider than a pure upscaler — virtual staging, uncropping, inpainting, document upscaling and avatar generation are all in the same account
- ✓Real production API: asynchronous with webhooks, documented, with an official Python client, rather than a consumer web tool with an afterthought endpoint
- ✓Committing to a subscription roughly halves API unit cost, from about $0.09 pay-as-you-go to about $0.04 per image
- ✓Non-developers get the same capabilities through Zapier, Make.com and cloud-storage connectors, so pipelines do not need engineering time
Cons
- ✗Effectively no independent practitioner footprint: the only Hacker News mention in six years is a 2020 comment from the project's own founder, and the review sites that would carry a verified rating (G2, GoodFirms, SaaSworthy) return HTTP 403 to unattended requests, so no third-party score could be confirmed
- ✗The free tier is a demo rather than a trial — five credits, watermarked output, a mandatory account and a 4,096-pixel cap — a limitation an independent review at Media.io singled out as its main drawback
- ✗The Shopify app it lists is currently unavailable on the Shopify App Store, so an advertised commerce integration cannot actually be installed
- ✗Generation now leans on third-party models (Gemini 3 Pro, Qwen, SeeDream 4.5), which narrows the company's defensible IP to the enhancement and upscaling models and exposes that half of the product to upstream pricing and availability changes
- ✗No published security or compliance posture at all — no SOC 2, ISO 27001, HIPAA, SSO, data-residency commitment or SLA — which will stop it at most enterprise security reviews
- ✗The core upscaling job is commoditised, with free unwatermarked rivals such as Upscale.media and Waifu2x competing directly on it
Pricing
Free trial
$0
- ✓5 credits
- ✓Watermarked output
- ✓Upscale to 4,096 x 4,096
- ✓Account required
Entry subscription
From $7.50/mo
- ✓100 credits per month
- ✓No watermark
- ✓Resolution up to 15,000 x 15,000
- ✓API access
Top subscription tier
From $225/mo
- ✓5,000 credits per month
- ✓Full operation set
- ✓Batch upload
- ✓API access
API pay-as-you-go
From $0.09 per image
- ✓No monthly commitment
- ✓One credit covers a full chained workflow
- ✓Async processing with webhooks
Everything is metered in credits, where one credit buys one complete chained workflow rather than one operation, so combining upscale, denoise and background removal costs the same as upscaling alone. Published subscriptions run from about $7.50 a month for 100 credits to $225 a month for 5,000, with annual billing adding two free months; on the API, subscription pricing starts around $0.04 per image against about $0.09 pay-as-you-go, so committing roughly halves unit cost. The free tier is five credits with watermarks and a 4,096-pixel ceiling, and paid plans lift that to 15,000 pixels. No enterprise, on-premise or volume-contract pricing is published, and there is no published SLA.
Security & Compliance
Sources
This page was written from 6 sources, 4 on domains other than deep-image.ai.
Stay Ahead of the Curve
Weekly enterprise AI insights for technology leaders. No spam, no vendor pitches—unsubscribe anytime.
Subscribe