6 best AI photo colorizers: free limits, controls and APIs

Runbo Li
Runbo Li
·
· 7 min read
Colorize

Quick answer

For a few black-and-white photos, start with Magic Hour’s free Photo Colorizer. Choose Palette.fm for alternative color palettes, Photoshop for correcting specific areas, or MyHeritage In Color for a family-history collection. ImageColorizer combines restoration tools with paid batch processing; DeepAI offers a simple browser tool and developer API.

Colorize one photo for free

Upload a black-and-white image, keep the original beside it, and inspect faces, clothing, signs, architecture, and historically meaningful colors before sharing.

Try Photo Colorizer

AI colorization predicts plausible colors. It cannot prove what someone’s clothes, eyes or surroundings originally looked like. The most useful result preserves the photograph’s details and gives you a color version you can inspect, correct and share alongside the original.

Best AI photo colorizers compared

Tool

Best workflow fit

Free access and important limits

Controls or automation

Magic Hour

Colorizing a few photos without creating an account

3 free colorizations per day; no watermark; free outputs for personal use

Automatic browser workflow; Photo Colorizer API available

Palette.fm

Comparing different color interpretations

Free previews up to 500 × 500 with a watermark; one full-resolution trial credit

Filters, descriptive keywords, bulk workflows and an API

Photoshop Colorize

Correcting the color of a particular object or region

Requires access to Photoshop; not a permanently free standalone colorizer

Color-balance sliders, regional color pins and layer output

MyHeritage In Color

Managing photos within a genealogy collection

Several photos free after signup; subscription for continued use

Keeps the original and produces a separate color version

ImageColorizer

Combining colorization with photo repair

Free account includes 50 credits per month; single-image processing

Paid plans list legacy batch processing

DeepAI

Trying a direct upload or integrating colorization into an app

Browser tool available; check current account limits before a large job

Image upload, URL input and a documented REST API

Reviewed September 10, 2026. These recommendations compare documented capabilities and workflow fit. They are not a measured ranking of speed or color quality. Magic Hour publishes this guide and is included in the comparison.

1. Magic Hour: a simple starting point for a few photos

Magic Hour Photo Colorizer accepts JPG, PNG and WebP images in the browser. Upload a scan, generate the colorized version and download it. You can start without signing up, which makes it convenient for trying one family photo before working through an album.

Main limitation: Colorization is automatic. The tool does not currently offer regional color controls inside the colorization step. If you know a dress was blue and the generated version makes it green, use an editor with local controls rather than treating another plausible output as evidence. Paid plans permit commercial use; free outputs are for personal use.

For an automated workflow, the Photo Colorizer API currently charges 10 credits per generated image. Save the returned project ID and retrieve the completed image through the image-details endpoint. Browser free allowances and API credit costs are different things.

2. Palette.fm: compare palettes and guide the interpretation

Palette.fm offers more than 21 filters and lets you describe colors with keywords. It is a useful option when the first automatic palette looks wrong or when you want several interpretations before choosing one.

Full-resolution downloads use one credit per photo and support up to 5000 × 5000 pixels. The displayed annual option costs $72 for 480 credits; that is a yearly payment, not a $6 one-time purchase. Its one-time option lists $49 for 75 credits. Check the selected package before paying.

Main limitation: A free preview and a full-resolution download are different deliverables. Judge the exported file you actually need, especially for printing.

Palette also has API and bulk-processing documentation, including workflows for cloud-stored files. Its documentation now directs API users to RapidAPI. Do not assume website credit packages apply to that separate API plan.

3. Photoshop Colorize: correct known colors in specific areas

Photoshop is a practical choice when you already edit photos there or need control over clothing, furniture or another recognizable object. Adobe’s Colorize instructions cover automatic colorization followed by manual adjustments.

Open the image in RGB mode, choose Filter → Neural Filters, download Colorize if needed and enable it. Adjust the overall color balance, then place color pins where you want to override an automatic choice. Output to a new layer or a Smart Filter to keep your work editable.

Main limitation: This involves more decisions than a one-click browser tool. That extra work is useful when you have a reference color to apply; it does not establish historical accuracy by itself.

For example, if another photograph shows the same blue uniform, use it as a reference for the relevant region while leaving unrelated areas unchanged. Keep a note of which colors came from evidence and which were inferred.

4. MyHeritage In Color: organize colorized family photographs

MyHeritage In Color fits people already collecting family photos and records in MyHeritage. It preserves the original photograph and creates a colorized copy at the original resolution. The older claim that its output is necessarily reduced-resolution unless you upgrade is incorrect.

You can colorize several photos free. Continued use depends on the subscription: MyHeritage documents unlimited colorization with qualifying plans, including its Photo subscription. Check which photo features your existing plan includes before buying another.

Main limitation: A family-history interface does not make predicted colors historically verified. MyHeritage itself explains that the generated colors may differ from the real ones. Preserve that distinction when sharing a family archive.

5. ImageColorizer: restoration tools and paid batch processing

ImageColorizer combines colorization with tools for enhancement, portrait retouching and scratch repair. This is useful when adding color is only one part of preparing an old scan.

Its current pricing page lists 50 monthly credits free, 500 credits for Starter at $6.90 per month and 1,000 for Premium at $9.90 per month. Paid tiers include legacy batch processing; the free tier lists single processing.

Main limitation: Check which model and workflow your batch uses. The pricing FAQ says batch processing or downloading an image costs a credit, and repeated downloads can also consume credits. “500 credits” should not automatically be read as “500 fully restored, downloaded photos.”

Download a small sample through the same workflow you intend to use for the album before budgeting the entire collection.

6. DeepAI: browser uploads and a developer endpoint

DeepAI Image Colorizer accepts an uploaded image, an image URL or pasted input. That direct workflow can be useful when you want to try a single photograph or work from an existing hosted file.

DeepAI’s developer page lists colorization among its REST APIs and says API access is included with DeepAI Pro. The displayed Pro subscription is $9.99 per month, with usage beyond the plan billed separately.

Main limitation: Subscription access is not unlimited generation. Check the current colorizer allowance and usage charge for your account before processing a folder. We have not established a quality or latency advantage over the other services in this guide.

How to colorize an old photo without losing useful detail

Working with an old movie instead of a still? Compare AI video colorizers, including frame-based costs, free export limits and checks for colors changing during movement.

  1. Keep an untouched scan. Work on a copy so you can distinguish original detail from later edits.
  2. Identify the actual problem. A black-and-white image needs colorization; a faded color print may need color restoration; a scratched scan needs repair. One operation does not necessarily solve all three.
  3. Prepare a clean input. Crop scanning borders and correct an obvious tilt. Avoid aggressive smoothing that removes faces, lettering or texture before colorization.
  4. Generate one version first. Inspect faces, hands, clothing, sky and boundaries between objects. Look for color spilling across edges and distracting differences between adjacent skin areas.
  5. Correct with evidence when available. Use another photo, a surviving object or a reliable record for known colors. Otherwise, describe the result as an interpretation.
  6. Inspect the download. Check its dimensions and watermark at the size you will share or print. Save the original, edited image and a short note describing the changes.

For the complete sequence, follow our old-photo restoration and colorization guide. If the finished image needs more pixels for its intended use, see how to upscale an image. Enlargement does not recover proof of details absent from the scan.

A practical comparison: one family album, three sample photos

Before paying to process 100 photos, choose three representative scans: a portrait, an outdoor scene and a group photo with small faces. Use the same input files in the tools you are considering. This is a suggested comparison exercise, not a test we have run.

Sample

Inspect closely

Reject or correct when

Portrait

Eyes, lips, skin boundaries, jewelry and clothing

Color bleeds into the background or conflicts with a known reference

Outdoor scene

Sky edges, vegetation, painted signs and buildings

A color tint hides readable detail or makes adjacent objects merge

Group photo

Every face, hands and repeated garments

Small subjects receive inconsistent or distracting colors

Record the exported resolution, credits consumed and time spent correcting each result. A useful cost comparison is total processing cost divided by the number of outputs you keep, including extra attempts.

For Magic Hour’s documented API rate, 100 generated images require 1,000 credits; generating every image twice requires 2,000. Convert that credit total using your actual account’s credit cost. Do not compare it directly with a competitor’s annual subscription headline or a low-resolution free preview.

Frequently asked questions

No. It predicts colors from image content and learned patterns. Several different color scenes can produce similar grayscale values, so an attractive result is not proof of the original colors. Use references for details that matter.

Magic Hour offers three daily colorizations without signup or a watermark for personal use. Palette’s ongoing free previews have a watermark, while its trial includes one full-resolution credit. Compare the actual download limits, not just a “free” label.

No. Colorization adds inferred color to a black-and-white source. Restoring a faded color photo works with the color information that remains. MyHeritage describes these as separate operations. Keep an original copy before either process.

Yes, through an appropriate batch workflow or API. Palette documents bulk processing, ImageColorizer includes legacy batch processing on paid plans, and Magic Hour and DeepAI offer colorizer APIs. Review representative outputs before processing every scan, then inspect the full batch for exceptions.

Start with one clear scan in Magic Hour Photo Colorizer. Inspect the downloaded image alongside the original. If you need a different palette or a specific object color, use the corresponding controls in Palette or Photoshop before committing to an album-sized job.

Runbo Li
Runbo Li
CEO of Magic Hour
Runbo Li is the Co-founder and CEO of Magic Hour, where he builds AI video and image tools for content creation. He is a Y Combinator W24 founder and former Data Scientist at Meta, where he worked on 0-1 consumer social products in New Product Experimentation. He writes about AI video generation, AI image creation, creative workflows, and creator tools.
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