Deep Image

Noise, backgrounds, and generated details cover distinct edits

For enlarging an image, generative upscaling creates new details intended to fit its context, rather than simply enlarging existing pixels. The homepage gives two differently scoped descriptions of enlargement: one tool description says up to four times the original size, while another says up to 16 times or up to 300 megapixels.

For cleanup and correction, the service lists noise removal for photos taken at high ISO settings or in low light, alongside one-click color and lighting corrections. Background tools cover both removal and AI-generated backgrounds, including backgrounds for ecommerce products. The FAQ also lists sharpening, noise reduction, background removal, and automatic color adjustment.

The provider says its image generator can create art from text prompts or existing images, and users can combine up to three photos when editing with a text prompt. The provider says its business photo generator turns a single selfie into a professional profile photo for LinkedIn and other work-related uses.

Credits price standard edits and generation differently

Website credits, API processing, and high-volume arrangements follow separate terms, so the displayed credit costs are not a complete cost model.

The plans page says an account receives 10 free credits; standard processing costs 1 credit per image regardless of how many enhancements are applied. For generation, the page lists ChatGPT Image (Medium) at 2 credits per image and ChatGPT Image (High) at 5. The API page says standard processing starts at $0.04 / €0.04 per image, with one credit covering standard enhancements in one request; selected advanced generation models use more than one credit.

For product photos, the packshot page lists PRO plans from $7.50 and says credits are offered through subscription or pay-as-you-go. Packshots generated on a free account carry a watermark, so the free-credit allowance does not mean every output is watermark-free.

The plans page says Deep-Image.ai uses Stripe and accepts credit cards or PayPal; its terms also list Stripe, Apple App Store, or Google Play as payment processors. The terms say website subscriptions renew automatically unless canceled before renewal, while the plans page says subscriptions can be canceled at any time with one click in the profile. Users can upgrade or downgrade subscriptions in their profile while signed in.

The terms say subscription credits do not accumulate across allocation periods and expire when the paid subscription ends; separately purchased credit-package credits do not expire while the relevant account remains available. Purchases, credit packages, and subscription payments are non-refundable except where required by law or expressly promised at purchase. For high-volume customers, the API page describes volume-based pricing, integration help, sample-image testing, and individual commercial terms.

The API batches image operations into one request

The API is presented for businesses, apps, marketplaces, and high-volume automated processing. A request can combine upscaling, denoising, deblurring, light and color correction, and background removal, so several listed operations can run through one API workflow.

The API supports synchronous or asynchronous processing; for asynchronous jobs, the provider describes polling for status and webhooks for batch jobs. It accepts JPEG, PNG, and TIFF, plus RAW formats including NEF and CR2, and returns JPEG, PNG, or WEBP.

The plans page says all plans include an API connection and website features are also available through the API. The provider advises keeping the API key on a server rather than in an app. The API documentation describes image-processing operations for developers.

Check output quality, formats, and data handling first

Ask what image-quality evaluations or representative before-and-after examples support the enhancement claims, and how performance varies across image types. The answer matters most when edited images must meet a defined production standard.

Clarify upload and output constraints, including size, dimensions, resolution, and format-specific limits. Ask how credit consumption changes across the tools in your planned workflow, rather than assuming every operation follows the standard-image rate.

For sensitive workflows, establish retention, deletion, processing, and storage terms with the provider. Also ask about expected API volume, error handling, service availability, and support escalation before building an automated process.

The documented tools cover edits through automation

The service’s stated scope includes enhancement, upscaling, background processing, avatars, image generation, and an HTTP API, bringing consumer-facing edits and automated processing into one product.

The homepage says images can be processed in batches of up to 50 at once. For API workflows, several operations can be combined in one request, with synchronous or asynchronous processing and polling or webhooks for job status.

The product-photo workflow offers ready-made presets or a style-reference image, exact output dimensions and aspect ratios, and saved custom presets for reuse across products. It also supports uploads of up to 50 product photos at once, according to the packshot page.

For enlargement, the homepage’s descriptions differ in scope: one tool description states up to four times the original size, while another states up to 16 times or up to 300 megapixels.

Credit expiry and account rules narrow flexibility

• Subscription credits expire when the paid subscription ends and do not carry over between allocation periods. Pay-as-you-go credits do not expire, so the two credit types behave differently after cancellation.
• Deep Image’s terms prohibit creating multiple accounts to obtain extra free credits or evade plan limits.
• Packshot generation requires an account, and outputs made on a free account carry a watermark.
• The Avatar Maker and Business Photo Generator process only one face at a time.
• Purchases, credit packages, and subscription payments are non-refundable except where required by law or expressly promised at purchase.
• Website subscriptions renew automatically unless canceled before the next renewal.

Several practical details remain open; they are listed under What we could not confirm.

Product teams can choose presets or a style reference

Deep Image’s Packshot Generator is aimed at producing product photos for online stores from uploaded product images. For teams standardizing product imagery, it offers ready-made presets or a style-reference image, exact dimensions and aspect ratios, and saved presets for reuse.

The service lists size presets for Allegro, Amazon, eBay, Etsy, and Shopify, and advises checking current marketplace image guidelines before publishing. The provider says packshots can be used in stores, listings, and ads in line with its Terms & Conditions.

Compare image tools by workflow and credit terms

Compare image services by the enhancement tasks they cover, supported formats and size constraints, credit expiry and billing, API workflow, and data-handling terms. For product-photo workflows, also compare preset controls and how outputs fit the publishing requirements of the intended marketplace.

Questions about Deep Image’s credits and image workflow

How do standard edits and named generation costs differ?

Standard edits cost one credit per image even when several enhancements are applied. The plans page lists ChatGPT Image (Medium) generation at 2 credits per image and ChatGPT Image (High) at 5; these are distinct from the standard-processing rate.

How does API processing finish an image job?

The API supports synchronous or asynchronous processing. For asynchronous jobs, the provider describes polling for job status and webhooks for batch jobs, allowing an application to receive status updates through the documented workflow.

Which image formats does the API accept and return?

The API accepts JPEG, PNG, TIFF, and RAW formats including NEF and CR2, and returns JPEG, PNG, or WEBP, according to the API page checked 2026-10-30.

What does the provider say about image training and deletion?

The provider says it does not use customers’ images to train AI models. Its terms say uploaded files and outputs are automatically deleted after 24 hours for guest use and within 40 days for registered website accounts, API processing, and mobile applications.

What conditions apply to packshot generation and marketplace use?

Packshot generation requires an account, and the provider says current marketplace image guidelines should be checked before publishing. It lists presets for Allegro, Amazon, eBay, Etsy, and Shopify; the provider says packshots may be used in stores, listings, and ads under its Terms & Conditions.

Proceed only when credits and output terms fit

Fits if the workflow needs the documented image tools and API processing, and its credit use fits the available billing terms.

Main risk… subscription credits expire when the paid subscription ends, while the available cost terms differ across standard processing and generation.

Sources

The facts above were taken from the public pages listed here, and each entry shows the date it was read.

• deep-image.aichecked 2026-10-30
• deep-image.ai/about-apichecked 2026-10-30
• deep-image.ai/app/planschecked 2026-10-30
• faq.deep-image.aichecked 2026-10-30
• deep-image.ai/app/packshot-generatorchecked 2026-10-30
• deep-image.ai/terms-and-conditions.htmlchecked 2026-10-30
• documentation.deep-image.aichecked 2026-10-30

How we put this page together

Editorial team of Stack Shelf. Prepared by the editorial team of Stack Shelf from the public sources listed above; the facts were checked on 2026-10-30. Nobody tried the service in practice. We revise the text whenever those sources are updated.

Last updated: 2026-10-30

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