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

Runbo Li
Runbo Li
·
CEO of Magic Hour
·
Sep 12, 2026· 5 min read
AI Summary:
ChatGPTClaudeGeminiPerplexity
Editorial illustration of a filmstrip moving from monochrome to color; not a restoration benchmark

Contents

Create with Magic Hour
Make videos and images with AI.

Quick answer

For a short black-and-white clip you want to colorize in a browser, start with Magic Hour AI Video Colorizer. For a desktop restoration workflow, compare UniFab and HitPaw VikPea. For browser processing billed by frame count, consider Kolorize. The right choice depends on clip length, export conditions and how consistently colors hold through movement.

Colorize a video in your browser

Upload a short black-and-white clip, adjust the color strength, and inspect faces, clothing, and backgrounds before processing more footage.

Try Video Colorizer

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.

Magic Hour publishes this guide and includes its own product in the comparison. Treat the recommendations as editorial guidance from a vendor, and verify the linked first-party product details and your own output requirements before choosing a tool.

Best AI video colorizers at a glance

Tool

Workflow fit

Free access or billing distinction

What to check before processing a long video

magic hour logoMagic Hour

Short browser colorization jobs

Three free five-second videos per day without signup; paid options for longer use

Duration, watermark, color strength and the final download

UniFab official website iconUniFab

Desktop colorization with local and cloud options

Advertises a 30-day trial without watermarks; cloud modes consume credits

Selected processing mode, hardware needs and cloud usage

Kolorize logoKolorize

Browser colorization priced by frames

One credit per 160 frames; no extra download fee after processing

Total frames, credit-pack cost and any rounding in the quote

HitPaw logoHitPaw VikPea

Desktop colorization alongside enhancement tools

Free trial advertised; verify the current export entitlement

Selected color model, local or cloud mode and paid export terms

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.

1. Magic Hour: start with a short browser sample

Magic Hour's Video Colorizer accepts an existing monochrome video and offers color-strength choices. Its page lists MP4, MOV and WebM uploads, a 200 MB upload limit, and three free five-second uses per day without signup. Free outputs may carry a watermark; paid options support longer work and watermark removal.

Use a sample containing movement, a face and an important object. Start with moderate color strength and check that skin, clothing and backgrounds stay consistent. If the source is a photograph rather than footage, use the separate Photo Colorizer.

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.

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.

Check

What a usable result should do

Warning sign

Color consistency

Keep the same object reasonably stable through movement

A coat changes color as its wearer turns

Edge handling

Keep color within recognizable object boundaries

Skin color spreads into hair or background

Scene transitions

Establish a coherent palette after a cut

Colors from the previous scene persist

Fine detail

Preserve useful texture from the source

Faces or lettering become smeared

Export integrity

Preserve the intended timing and sound

Audio drifts or the clip is unexpectedly shortened

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.

Frequently asked questions

You can try limited free processing or trials, but check both generation and export conditions. A free preview, signup allowance, watermarked download and full-resolution export are different offers. Confirm which one is included before uploading a long recording.

No. A grayscale recording alone generally cannot identify the original hue of every object. Colorization is an interpretation. Use independently verified color references where the workflow supports them, and retain the monochrome source as the historical record.

Objects can become hard to track as they move, pass behind something or cross a cut. Test shorter representative sections, inspect the original transfer and compare restrained settings when available. A vivid result is not useful if its colors change distractingly during playback.

There is no universal order that works best for every source and model. Try short samples of the relevant operations separately, then compare the sequence on the details that matter. Avoid stacking aggressive settings that erase texture or invent facial detail.

Check the rights to the original footage and the service's output terms for your intended use. Colorizing a film does not give you ownership of someone else's recording. For archival publication, explain the alteration and keep the original accessible when appropriate.

Runbo Li
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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