4 best AI video colorizers: free trials, costs & workflow

AI colorization adds plausible colors; it does not recover the historical colors hidden in a black-and-white recording. Keep the original and judge the moving result, not just a colorful preview frame.

Best AI video colorizers at a glance

Product information checked September 11, 2026. These recommendations compare documented workflows and purchase conditions; they are not a measured quality ranking. Magic Hour publishes this guide and is included in the comparison.

1. Magic Hour: start with a short browser sample

Magic Hour's Video Colorizer accepts an existing monochrome video. The no-account preview automatically colorizes the first five seconds at Balanced strength and 480p, with three free uses per day. Its page lists MP4, MOV and WebM uploads and a 200 MB video upload limit. Free outputs may carry a watermark; paid subscriptions and credit packs remove video watermarks. Adjustable strength and resolution are in the full tool.

Use a sample containing movement, a face and an important object. The guest preview uses Balanced automatically. In the full tool, compare Subtle and Balanced and check that skin, clothing and backgrounds stay consistent. If the source is a photograph rather than footage, use the separate Photo Colorizer.

Choose the free preview or the full colorization workflow

For a quick first sample, use the free Video Colorizer. It processes the beginning of the uploaded clip automatically. If the section you want to assess is later in the recording, prepare that short excerpt first rather than assuming the preview selects it for you.

For adjustable controls, open the full Video Colorizer and sign in. Upload Video, confirm the selected section when trim controls appear, then open Settings. Choose Subtle, Balanced or Strong and an available resolution. Review the estimate before Generate Video. Change one setting at a time and compare the entire sample, including faces, motion and scene cuts.

If you see a clip-length error, trim the selected section to the range displayed by the tool. A file fitting under 200 MB does not mean its full duration is eligible. The Video Colorizer Help Center guide explains the selection and settings. Colorization still infers plausible hues; a stronger setting is not evidence of greater historical accuracy.

2. UniFab: desktop and hybrid processing

UniFab AI Video Colorizer offers desktop colorization with multiple styles and local or cloud processing routes. Its documentation distinguishes scene-detection workflows from FabCloud processing; the latter can reduce dependence on a local GPU while using more cloud credits.

That makes it worth considering for a larger restoration project where processing location and machine capacity matter. Verify the chosen mode before assuming the job stays on your computer. The page advertises a 30-day trial without watermarks, but check which product and cloud allowances your installation includes.

Choose UniFab’s processing mode before starting

UniFab’s current colorizer documentation separates three workflows. Checked October 12, 2026; these are the provider’s stated processing and billing conditions, not a comparison of measured output quality.

The practical trap is assuming that opening the desktop application keeps every operation local: enabling Scene Detection changes that workflow. Confirm the active mode and data-handling terms before importing sensitive footage. If your computer lacks the required GPU capacity, compare FabCloud’s displayed credit estimate rather than assuming a desktop license makes cloud processing free.

3. Kolorize: browser processing with frame-based costs

Kolorize processes uploaded video in the browser workflow and lists a rate of one credit per 160 frames. Its FAQ says downloading a processed video does not add another fee. That does not make the colorization itself free.

At that published rate, a 60-second clip at 30 frames per second contains 1,800 frames and represents 11.25 credits before any minimum or rounding shown in the quote. The same duration at 60 fps represents 22.5 credits. Check the actual quote and credit-pack price; do not change the source frame rate solely to chase a cheaper number if doing so harms motion.

4. HitPaw VikPea: colorization within a restoration suite

HitPaw VikPea includes black-and-white colorization alongside enhancement options such as denoising and color adjustment. It advertises desktop and cloud acceleration, batch processing and a free trial.

Consider this route when you want to evaluate several restoration operations in one application. Keep colorization and enhancement decisions separate: compare the original with the cleaned-up version before applying color. Verify whether the selected feature runs locally or in the cloud and whether the trial lets you export the result you need. “Try free” alone is not evidence of unlimited free downloads.

Colorization, color grading and upscaling are different jobs

• Colorization adds inferred colors to monochrome footage.
• Color correction or grading changes the exposure, balance or appearance of colors already present.
• Upscaling increases output dimensions and may reconstruct detail; it does not establish the original colors.
• Image-to-video generation invents motion from a still image. It does not restore the events in an existing recording.

If your footage is already in color but looks faded, evaluate correction before converting it into a new interpretation. For still photographs, follow the photo restoration and colorization guide. For resolution work, compare the video upscaling options.

How to colorize an old video without wasting the full job

1. Preserve the source. Work from a copy of the best available transfer. Keep its frame rate, duration and aspect ratio recorded.
2. Choose representative samples. Include a face, movement, a scene transition and any clothing or object whose color matters.
3. Separate repair from color. If you apply denoising or stabilization, compare that intermediate file with the original before adding another operation.
4. Generate a short color sample. Begin with restrained settings when the service offers strength controls.
5. Watch the complete sample. Look for color switching, bleeding edges and changes to skin, fabric or background objects.
6. Inspect the download. Check watermark, dimensions, frame rate, duration and audio synchronization before paying to process the whole recording.
7. Keep the result labeled. Store the colorized version separately and describe it as colorized when historical accuracy matters.

For a first attempt, upload a short clip to Video Colorizer. Use the sample to decide whether the treatment improves this recording before processing more footage.

What should a useful comparison sample contain?

Use three short excerpts from the same source: a steady portrait, a moving subject and a transition between scenes. This exposes different problems that one flattering still cannot show.

This is a suggested evaluation procedure, not a claim that all four services passed it. Keep rejected outputs in your comparison so you can see the amount of retrying each workflow needs.

Compare cost per accepted minute

The relevant cost is what you spend to finish footage you will actually use. Include processing credits, a required subscription, paid exports and repeated attempts. For a large archive, your own review and repair time matters too.

Illustrative example: if you spend $12 processing samples and retries, then keep two finished minutes, processing cost is $6 per accepted minute. That is a calculation method, not a price quote for the tools above. A trial is useful for choosing a workflow; it is not necessarily a viable allowance for restoring a whole film.