Perfectly Clear

Perfectly Clear by EyeQ delivers automatic photo correction and AI video enhancement for consistent visuals and faster workflows, with tools, Web API, Docker, and SDKs.

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Overview

Perfectly Clear is EyeQ’s automatic photo correction and AI video enhancement technology. The site presents it as the core engine behind a family of tools that can be used for ready-to-use batch editing, browser-based corrections, or developer integrations.

The product is built for businesses that need consistent visual output and faster image workflows. Sources describe options for local SDK deployment, a cloud Web API, a Docker Container for private-network use, and ready-to-use solutions such as Cloud and Hot Folder.

Core capabilities

Automatic image and video enhancement

Automatically correct photos and videos using EyeQ’s Perfectly Clear technology, which the site describes as the base for its product family.

Editing tools beyond basic correction

Support visual editing tasks such as retouching, background removal, creative filters, image upscaling, auto crop, and glasses glare removal.

SDK deployment options

Use SDKs that can be embedded into server, mobile, desktop, or browser environments, giving teams deployment flexibility.

Online API processing

Run a cloud-based Web API that accepts an original JPG, applies the chosen correction, and returns the corrected file.

Private-network container deployment

Host the Web API in a private network with the Docker Container option, keeping customer photos on your own hardware.

Preset and workflow configuration

Tune output through presets and custom corrections in Workbench before rolling changes into an implementation.

Common use cases

Product integration
Embed image enhancement into products that need automated corrections without manual editing, such as photo ordering, photo editing, dating, or social platforms.
Cloud photo processing
Use the Web API when you want to upload images, apply preset corrections on EyeQ’s servers, and download the corrected result without installing the SDK.
Private-network processing
Deploy the Docker Container when photos must stay inside a private network but you still want the Web API interface and workflow.
Local application workflows
Use the SDKs for server, mobile, desktop, or browser applications when you want local control over where the engine runs.
Operational batch editing
Start with ready-to-use Cloud or Hot Folder solutions for immediate batch photo editing and browser-based corrections.

Pros and Cons

Pros

Offers both ready-to-use tools and developer-focused integration paths.
Supports multiple deployment models, including local SDKs, cloud API processing, and private-network Docker deployment.
Covers a wide range of image tasks, from correction and retouching to background removal and upscaling.
Provides product-specific pages for SDKs, Web API, customer stories, and support content.

Cons

The public pricing page is unavailable, so the exact packaging and commercial terms are not clear from the site.
The source set gives only partial detail on outputs, limits, and supported workflows for each solution.
Some capabilities are described at a high level rather than with full technical documentation on the public pages.

FAQ

What ways can Perfectly Clear be integrated or used?

Perfectly Clear can be used through ready-to-use solutions such as Cloud, Hot Folder, and browser-based instant corrections, or through developer products such as SDKs, Web API, Docker Container, and Command Line. The site also presents SDK options for server, mobile, desktop, and browser implementations.

What does Perfectly Clear do?

The site positions Perfectly Clear for automatic photo correction and video enhancement, with tools for image retouching, background removal, creative filters, AI image upscaling, auto crop, glasses glare removal, and front-end tools. It is aimed at businesses that need to automate visual media workflows.

How quickly can teams get started?

The SDK page says implementation can take about one day on average for the SDK via its API. The Web API page says you can begin enhancing photos online in minutes without installing the SDK.

Is pricing available?

The Web API page states there is a tiered monthly pricing system billed in groups of 100 images, with a free allowance of 100 photo corrections and 5 free minutes of video and no credit card required. The pricing page itself is missing and does not provide additional plan details.

What is the difference between the SDK, Web API, and Docker Container?

The sources do not provide a complete public comparison between every solution, but they do distinguish between ready-to-use products and developer tools. The Web API processes images on EyeQ’s servers, while the Docker Container is described as a private-network deployment and the SDKs are local engines you can run in your own products and systems.

Quick Facts

Brand: EyeQ / Perfectly Clear
Category: Automatic photo correction and AI video enhancement
Primary users: Businesses, developers, and visual workflow teams
Delivery models: SDK, Web API, Docker Container, Command Line, Cloud, Hot Folder
Website: eyeq.photos
Pricing: Tiered Web API pricing is shown; the main pricing page is unavailable

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