palette.fm

Palette.fm is a web-based AI tool that colorizes black-and-white photos by letting users upload images, choose a filter, and export the result. It offers free previews and paid credits for watermark-free, full-resolution output.

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웹사이트 방문

What Palette.fm does

Palette.fm is an online AI colorization tool for black-and-white photos. Its main job is to turn monochrome images into color versions by letting users upload a photo, choose a filter, and generate a result quickly in the browser.

The site presents the workflow as simple and direct: start for free, select from a large set of color filters, and then download the colorized image or continue adjusting the result. Paid credits are available for users who want watermark-free, full-resolution output.

Core features

Filter-based colorization workflow

Upload a photo, choose from more than 21 color filters, and generate a colorized result in a few steps.

Multiple preset color filters

The filter page shows named filter styles such as Original, Classic, Palette, Bright Essence, and Nature's Palette, giving users different starting looks.

Keyword-based color adjustment

Users can fine-tune colors by adjusting keywords after selecting a filter, which supports more targeted edits.

Multi-image upload

The site says you can upload multiple images in one go, which is useful for batch processing rather than single-file work only.

Free preview and paid export tiers

Free previews are available without sign-up, while paid options remove the logo and provide full-resolution output.

Paid workflows with credit management

The paid plans mention watermark-free previews, automatic credit refresh on subscriptions, and credit rollover for active subscriptions.

Common use cases

Restoring personal photos
Individuals can colorize family or personal archival photos directly in the browser without creating an account first.
Trying alternate color treatments
Photographers and creators can test different color styles quickly using the preset filters and compare results before exporting.
Batch colorizing a photo set
Users working with several images can upload multiple files in one session to speed up repetitive colorization tasks.
Preparing shareable final images
People who want higher-quality exports can use paid credits to remove the logo and download full-resolution colorizations.

Pros and Cons

Pros

Supports a simple upload-and-filter workflow for colorizing black-and-white photos.
Offers more than 21 filter options, including named styles visible on the filter page.
Provides free previews without sign-up according to the homepage copy.
Paid options offer watermark-free, full-resolution output up to 5000x5000 pixels.
The site says multiple images can be uploaded in one go, which helps with batch work.

Cons

The collected pricing page returned a 404, so the available plan information comes from the homepage copy rather than a dedicated pricing page.
The source does not clearly document file-format support, integrations, or API details beyond a navigation link and general upload workflow.

FAQ

How does Palette work?

Palette is an online AI tool for colorizing black-and-white images. The site says you can upload a photo, choose a filter, and download the result, with options to further adjust colors.

Is there a free option?

The free plan offers unlimited color previews, but preview images are resized to a maximum of 500x500 pixels and show a Palette watermark. The site also offers paid credits for watermark-free, full-resolution colorizations.

What do paid credits unlock?

Paid credits can produce logo-free, full-resolution colorizations up to 5000x5000 pixels. The site also notes that subscription credits refresh automatically and unused credits can roll over, while one-time credits are available for 2 years.

Does Palette list integrations or an API?

The homepage says Palette is available as an online tool and includes a mention of API in the site navigation, but the collected pages do not provide enough detail to describe the API or other integrations.

What should I know about limitations?

The source does not provide a complete technical specification for accuracy limits or supported file types. It does show that users can upload images directly and that multiple images can be handled in one upload flow.