Magic Hour vs DeepSwap: face swap, pricing and API

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 publishes this comparison and owns Magic Hour. We compare documented workflow, input, export, pricing, and API differences rather than claiming a universal quality winner; this is not a retained identical-footage benchmark. Sources were checked September 13, 2026.

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.

Magic Hour vs DeepSwap at a glance

DeepSwap official product page, captured September 25, 2026. Any sample outputs or performance statements visible here are the vendor’s examples and claims, not our independent test results. View official source

Magic Hour input workflow, captured September 25, 2026. This shows the upload or prompt controls, not a completed generation. View official source

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.

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.

DeepSwap pricing and workflow details

DeepSwap’s current pricing page separates face-swap credit use by media type and plan. The article’s arithmetic uses the published unit rate only; it does not predict accepted outputs. Check the live checkout for subscription price, included credits, renewal, maximum duration, HD access and account-specific promotions.

A one-minute clip can require multiple passes when identity, occlusion or motion fails. Record every charged attempt. Compare total cost after retries and correction, not the nominal credit charge for the first run.

DeepSwap photo, GIF and video workflow

For a photo, use a source portrait with a large, unobstructed face and a target with similar pose. For GIF or video, use a short sample first. Include a blink, profile turn and brief obstruction to expose temporal failures before processing a long file.

DeepSwap advertises multiple-face video. Map every source identity to the intended target and check that assignments remain stable after movement or cuts. Inspect background faces too; an unnoticed replacement can make the entire export unusable.

DeepSwap API evaluation

DeepSwap presents API access through its API center. Before treating it as production-ready for your application, verify current authentication, supported operations, input and duration limits, face mapping, job polling, retries, idempotency, error handling, billing, output retention and deletion.

Run a small integration set before committing volume. Include valid photo and video jobs, an unsupported file, a timeout, a repeated request and a multi-face case. Reconcile reported usage against the vendor balance. Marketing availability is not evidence that every web feature exists through the API.

DeepSwap privacy, terms and consent

Read DeepSwap’s current privacy policy and Terms of Service before uploading sensitive or client material. Verify what is collected, why it is processed, retention, service providers, deletion controls and whether the selected commercial use is permitted.

Use only media you own or are authorized to edit. Obtain consent from every identifiable person. Face-swap software cannot grant likeness, copyright, trademark, music or publicity rights. Disclose synthetic media when the result could reasonably be mistaken for a real event or endorsement.

DeepSwap versus Magic Hour by job

Choose DeepSwap when its dedicated face-swap controls, multi-person workflow and published credit structure fit the job. Choose Magic Hour when face swap is one stage in a broader image, video, lip-sync, talking-photo or audio workflow.

Magic Hour also exposes a documented video face-swap API endpoint. API buyers should compare the exact endpoint behavior and accepted-output cost rather than general platform feature lists.

Common DeepSwap problems

One frame looks good but the video fails. Watch the entire output. Inspect profile turns, teeth, hairline, occlusion and scene cuts frame by frame.

The wrong identity appears in a group. Recheck mapping, label each source and verify every person after each cut.

The project costs more than expected. Include full-length retries and rejected exports. A published credit rate is only one input to cost per accepted result.

The API does not match the web product. Confirm supported operations and controls in current API documentation or written vendor guidance before implementation.

Official sources checked September 21, 2026

DeepSwap product · Pricing · Privacy · Terms · Magic Hour API