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Magic Hour vs DeepSwap: face swap, pricing and API

Aastha Kochar - author at MagicHour (SaaS MarTech Content Writer)
Aastha Kochar
·
Content Manager
·
Jan 08, 2026· 4 min read
AI Summary:
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A Practical Face Swap Comparison for Real Content Creators

Contents

Create with Magic Hour
Make videos and images with AI.

Choose Magic Hour when you want face swapping alongside tools such as lip sync, talking photos, and image-to-video. Evaluate DeepSwap for its face-swap workflow, including multi-person video. Both now offer API access and additional generation tools. The deciding factors are your actual source clip, face mapping, export requirements, and cost—not an unsupported claim that one always produces better faces.

For a broader platform comparison, the Akool AI guide explains its face swap, avatar, translation, live-camera and API routes, plus a repeatable evaluation checklist.

Magic Hour vs DeepSwap at a glance

Question

Magic Hour

DeepSwap

Can I swap my own media?

Photo, video, and GIF tools

Photo, video, and GIF workflows

Can I replace several faces?

Dedicated multiple-face mapping workflow

Advertises up to six faces in a video

What can I try free?

Five guest photo attempts daily; three separate guest video attempts

Confirm the current account offer before assuming a free export

Does free video have a watermark?

Yes; guest video is up to ten seconds at 480p

Verify the selected offer and download conditions

Is there an API?

Yes, with public developer documentation

Yes, with setup and full features behind login

Does it do more than face swap?

Image, video, audio, and editing workflows

Also lists video generation and image tools

Published by Magic Hour. This comparison uses the linked product information checked September 10, 2026. Recommendations are editorial; no scored head-to-head quality or speed test is claimed here.

Test a face swap on your own video

Upload a short clip and a clear replacement portrait to Magic Hour, then inspect identity tracking through motion before processing a longer video.

Try Video Face Swap

Choose the correct face-swap workflow

For one still image, use Magic Hour Photo Face Swap. For one face in a clip, use Video Face Swap. For a group scene, use multiple face swap video and assign the source faces deliberately.

DeepSwap's product page describes photo, GIF, and video input and replacement of up to six faces in a clip. Its marketing also includes quality and processing-speed claims. Those claims are not a controlled comparison with Magic Hour, and this article does not treat them as one.

Compare pricing on the same clip

Magic Hour's pricing page and selected generation screen establish the plan and credit quote for your job. Free photos are watermark-free; free video is watermarked. Higher resolution, longer clips, and commercial use have separate plan requirements.

DeepSwap's current pricing page lists ordinary video face swap at one credit per fifteen seconds, photos at 0.1 credit, and GIFs at one credit. It lists a maximum thirty-minute face-swap video for Full Access. Check checkout for the current subscription price, billing period, included credits, and renewal amount.

For example, one minute of ordinary video swapping at DeepSwap's listed rate is four credits before retries. Three attempts at that full clip would be twelve credits. This is arithmetic from the published rate, not a measured quality or processing result. Compare the same input and output settings with Magic Hour's displayed quote; the two providers' credits are different units.

Both products have API access

Magic Hour's developer documentation covers its API workflows. DeepSwap's API center now advertises API access, says usage follows its website credit rules, and requires login for full features and setup.

Before integrating either service, confirm the endpoint, face-mapping controls, file limits, job polling, output handling, and pricing for your specific operation. API availability alone does not prove identical capabilities or compatibility.

Which produces the better result?

That remains input-dependent. Compare a permitted clip with a clear face, a head turn, blinking, and a brief occlusion. Use the same source face and inspect the entire output for drifting identity, teeth, hairline edges, skin-tone mismatch, and missed frames.

For a group video, check that the intended face stays assigned to the same person after movement or a cut. Record rejected attempts, final resolution, watermark, processing time, and total spend. A result that looks strong on one front-facing frame may fail during motion.

When each option belongs on your shortlist

Start with Magic Hour if your next step is lip sync, talking-photo animation, or another image/video operation in the same platform. Start with DeepSwap if its face-swap controls and credit structure fit the specific workload you are evaluating.

If local setup is a requirement, evaluate FaceFusion separately. Local processing introduces hardware and maintenance considerations and should not be described as zero-cost production.

Frequently asked questions

Can I use Magic Hour without signing up?

Yes. The photo tool offers five guest attempts per day. The video tool offers three guest attempts per day, up to ten seconds at 480p with a watermark. Account-specific credits, saved projects, and paid export options are separate.

Is DeepSwap only a face-swap service?

No. Its current site also lists video generation and image tools. Compare the particular workflow rather than relying on an older description of the whole platform.

Which is better for commercial projects?

Choose based on a successful sample at the required resolution, the selected plan's commercial terms, total cost, and your rights to the media and likenesses. A paid plan does not independently give you permission to use another person's face. See our video face-swap app comparison for other workflows worth considering.

Aastha Kochar - author at MagicHour (SaaS MarTech Content Writer)
Aastha Kochar has spent 5+ years creating content for B2B and B2C SaaS brands in the AI and MarTech space. She is well-versed with AI-powered content tools and offers deep comparisons after trying and testing every tool. Her work has helped companies increase organic traffic, earn AI citations, and most importantly — turn readers into users. With a bachelor's and master's degree in Journalism and Mass Communication, she brings strong research skills, authentic storytelling, and a deep understanding of what makes audiences actually care about what they're reading.
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