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Perfectly Clear
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AI Image Generation (541)

Perfectly Clear Verified Tool

Perfectly Clear is an automatic photo-correction and enhancement suite for exposure, color, skin, face, noise, sharpening, and batch image workflows.

Last Update: August 20, 2026

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Starting price Free trial + paid plans

Tool Information

Perfectly Clear is an automatic photo-correction and enhancement suite for exposure, color, skin, face, noise, sharpening, and batch image workflows.

Photographers import authorized images, apply automatic corrections or presets, adjust intensity, inspect skin and fine detail at full resolution, batch-process suitable files, and export approved versions.

A free trial is available with paid desktop, mobile, SDK, or business licensing; current prices depend on product, platform, volume, and license.

Enhancement can change skin tone, facial features, texture, or evidence and can create halos or invented detail. Originals, consent, and full-resolution quality control matter.

F.A.Q (3)

Perfectly Clear is an automatic photo-correction and enhancement suite for exposure, color, skin, face, noise, sharpening, and batch image workflows.

Photographers import authorized images, apply automatic corrections or presets, adjust intensity, inspect skin and fine detail at full resolution, batch-process suitable files, and export approved versions.

Verified pricing: Free trial + paid plans. A free trial is available with paid desktop, mobile, SDK, or business licensing; current prices depend on product, platform, volume, and license.

Pros and Cons

Pros

  • Perfectly Clear automates color; exposure; sharpness; and detail correction
  • AI scene detection selects targeted corrections for different image types
  • The Universal model handles a broad mix of people; landscapes; and objects
  • A Pro model is tuned for professional portrait photography
  • A dedicated School and Sports model serves high-volume event workflows
  • Retouching can automate skin smoothing; shine removal; blemish cleanup; and teeth whitening
  • Skin-tone correction aims to preserve natural and accurate representation
  • Background removal and replacement are available in supported products
  • AI upscaling offers several output-size tiers
  • Glasses-glare detection and removal address a difficult portrait defect
  • Cloud Jobs processes batches through a no-code browser interface
  • QuickServer supports unattended hot-folder processing on local systems
  • Developers can choose Web API; SDK; container; command-line; or mobile integration options
  • Custom presets let businesses standardize the exact correction recipe
  • The Web API trial includes free color corrections and samples of several AI tools
  • Usage-based API pricing lets smaller workloads avoid a long-term contract

Cons

  • Perfectly Clear is primarily business workflow technology rather than a simple consumer photo editor
  • Basic Web API color correction costs $0.10 per image below fifty thousand annual photos
  • Glasses-glare removal starts at $1.50 per image
  • Large-volume and enterprise prices require contacting sales
  • Cloud processing requires uploading image files to EyeQ's servers
  • Local processing avoids transfers but needs suitable hardware and a separately licensed product
  • API integration requires development work and error handling
  • Automatic corrections can make an image inconsistent with a photographer's creative intent
  • Portrait retouching may over-process faces unless presets are reviewed carefully
  • AI scene classification can select an unsuitable correction for unusual imagery
  • Upscaling cannot reconstruct authentic fine detail that was never captured
  • Background generation or replacement can create misleading visual context
  • Per-image charges can accumulate quickly for very large archives
  • Web API speed depends on image size; bandwidth; and server processing
  • Provider case studies and efficiency figures reflect selected customer workflows
  • Professionals still need calibrated displays; color-management checks; and final visual quality control

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