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Topaz Labs Photo Colorizer
Dallas, Texas, United States
What it is
Topaz Labs Photo Colorizer is a browser-based tool that adds color to black-and-white and grayscale photos, including older or degraded images. Users upload a picture, wait for it to process, then view and download the colorized result. The tool identifies subject matter and applies AI color models for restoration. Family photographs and historic images are among its intended uses, and images with clear subjects and good contrast are best suited. Very dark, heavily damaged, or extremely low-resolution photos may produce less precise results.
The web plan includes Colorizer and unlimited image rendering, with a 32 MP export limit and up to two concurrent images. It also lists file storage and limited commercial use for organizations with annual revenue under $1 million USD. Uploads support PNG, JPEG, JFIF, WEBP, TIF, and HEIC; downloads are JPEG or PNG. The listed web plan is $12 a month, billed $12/mo (shown alongside $19); the pricing note says From $19/mo. There is no free plan. The product is listed for web and iOS, and processing is cloud based.
For and against
For
- Supports six listed image upload formats.
- Downloads colorized results as JPEG or PNG.
- Web plan includes unlimited image rendering.
- Batch processing is listed as available.
Against
- No free plan is listed.
- Exports are limited to 32 MP.
- Only two images can run concurrently.
- Dark or damaged photos may be less precise.
The verdict
Topaz Labs Photo Colorizer provides a straightforward upload-and-download workflow for adding color to older monochrome images. Image condition, export size, and the listed plan limits are worth considering before choosing it.
Who it suits
It suits people looking to restore family, historic, or other black-and-white and grayscale photos. Clear, high-contrast subjects are the best fit; difficult or damaged images may yield less precise results.
Plans and prices
Topaz for Web - Image
Unlimited image rendering · 32 MP image export limit · 2 concurrent images · File storage
Read 7 Oct 2026 · topazlabs.com
On the record
- Colorization
- The tool detects photo subject matter and applies AI color models for color restoration.topazlabs.com · read 7 Oct 2026
- Company address
- The downloads page lists Topaz Labs at 5100 Belt Line Rd Ste 930, Dallas, TX 75254.topazlabs.com · read 7 Oct 2026
- Image suitability
- The colorizer works on black and white and grayscale images, and performs best on clear subjects with good contrast.topazlabs.com · read 7 Oct 2026
- Integrations
- Topaz Photo supports plugins for Lightroom Classic, Photoshop and Photoshop Elements, Capture One, and Apple Photos; Affinity Photo requires manual installation.docs.topazlabs.com · read 7 Oct 2026
- Mobile availability
- The product page advertises an iOS download.topazlabs.com · read 7 Oct 2026
- Plan limits
- The plan lists a 32 MP image export limit, two concurrent images, file storage, and limited commercial use for organizations under $1M USD annual revenue.topazlabs.com · read 7 Oct 2026
- Quality limitation
- Heavily damaged, extremely low resolution, or very dark images may produce less precise results.topazlabs.com · read 7 Oct 2026
- Security and privacy
- The Topaz Photo page says private local rendering keeps files on the user's computer; the colorization page describes processing in the browser.topazlabs.com · read 7 Oct 2026
- Support
- The product page links users to Topaz Labs support for product and account support.topazlabs.com · read 7 Oct 2026
- Use cases
- The page highlights family photos, black and white photos, and historic images as use cases.topazlabs.com · read 7 Oct 2026
- Web plan features
- The Topaz for Web Image plan lists Colorizer among its image workflows and includes unlimited image rendering.topazlabs.com · read 7 Oct 2026
- What it does
- The browser based tool uses AI to add color to old, degraded, black and white, or grayscale photos.topazlabs.com · read 7 Oct 2026
- Workflow
- Users upload an image, wait for processing, then view and download the colorized result.topazlabs.com · read 7 Oct 2026
