7 best AI lip sync video tools (2026 comparison)

Magic Hour editorial collage comparing AI lip sync with phoneme drawings and a speech waveform

Quick answer

For an existing face video and a replacement voice track, start with Magic Hour Lip Sync. Choose HeyGen for a presenter and translation workflow, Sync for programmatic video processing, or a talking-photo tool when your starting asset is a still portrait. The right input workflow matters more than a vendor's claim of “perfect” synchronization.

Searching for a lip-sync generator “from a photo” usually means you need a talking-photo workflow: a still portrait has no original mouth motion to retime. Use this mobile talking-photo app comparison to choose a portrait-first tool; use the lip-sync tools below when the starting asset is already a video.

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 lip sync video tools at a glance

Tool

Choose it for

Input or workflow

What to check

Magic Hour

Trying lip sync on your own footage in a browser

Video plus audio; separate Talking Photo tool

Guest duration, watermark, and the selected generation mode

HeyGen

Presenter videos and localization

Avatar creation and video translation

Translation review, credits, and export tier

Sync

Adding lip sync to a product or pipeline

Video plus audio through Studio or API

Subscription plus usage charges

Hedra

Speech-driven character animation

Character 3 takes a start image and audio

Selected model, resolution, and credit quote

D-ID

Building videos around a speaking presenter

Image, text, or audio in Creative Reality Studio

Presenter type and watermark conditions

Runway Act-Two

Transferring a filmed performance to a character

Driving-performance video plus character image or video

Input type, 30-second limit, gesture control, and credits

LatentSync 1.6

Running video lip sync in your own CUDA environment

Existing video plus replacement audio

CUDA setup, face coverage, license, and your own output review

Magic Hour publishes this guide. Provider documentation establishes current inputs, limits, prices, and workflows; it does not establish comparative output quality. We have not assigned quality scores because we do not have a controlled, same-source benchmark across all seven tools. Product and pricing sources were checked September 14, 2026.

Lip-sync your own clip

Upload a video and audio track to Magic Hour, generate a short sample, and check timing around consonants and head turns.

Try Lip Sync

1. Magic Hour: start with a short recording

Use Magic Hour when the person is already on video and you want to replace the spoken line, create a dubbed version, or synchronize a performance to new audio. You supply the voice track; lip sync does not establish that a translation is correct.

The browser tool offers three guest attempts per day, up to ten seconds each, with watermarked free video results. It accepts MP4 and MOV footage. Start with one visible face and clear speech, then watch the full result before choosing a longer job.

For example, record “Pick the blue box. Pause. Now press play.” Include the pause in your audio. Check whether the lips stop during it and whether the face stays consistent when the speaker turns. This is a suggested trial, not a measured accuracy score.

If you only have a portrait, open Talking Photo directly. There is no need to invent a separate moving clip first. For setup images and upload steps, follow the lip sync tutorial.

Paid plans remove video watermarks and permit commercial use, subject to the service terms and your rights to the footage and audio. Choose a plan after the sample meets your requirements; a larger credit balance cannot repair an unsuitable source.

2. HeyGen: presenters and translated video

HeyGen combines avatar creation with video translation. Its current help center says the Free plan provides one to three videos depending on region, up to one minute each, through a 720p sharing link. Creator is $29/month with 600 credits, 1080p export, and watermark removal. This is not unlimited premium generation. Keep the studio subscription and API quote separate when comparing costs.

For a translated recording, judge the rewritten meaning and voice before judging the mouth. A fluent reviewer should check names, numbers, and the requested action. Reject an otherwise convincing video if it changes the message.

3. Sync: lip sync through an API

Sync's current pricing separates the subscription from model usage. Hobbyist is $5/month and Creator is $19/month. On those tiers, lipsync-2 is $0.05/second, lipsync-2-pro is $0.08325/second, and sync-3 is $0.1334/second at 25 FPS. Creator removes the watermark and raises the maximum video length from one to five minutes.

At those entry-tier rates, three 20-second attempts cost $3 with lipsync-2, about $5 with lipsync-2-pro, or about $8 with sync-3, before the subscription. Record the selected model, frame rate, attempts, and completed charge rather than quoting one price for the entire service.

4. Hedra: animate a character from an image

Hedra Character 3 accepts a start image and required audio, with 540p, 720p, and 1080p options listed. It fits a character who needs to speak or sing from a still image. It is a different starting workflow from replacing dialogue in existing footage.

The current plan page lists Basic at $15/month, Creator at $30, and Professional at $75. A plan's credits are not a fixed number of finished videos. The Hedra guide explains the first-clip workflow and current pricing.

5. D-ID: presenter-led video

D-ID Creative Reality Studio supports videos built from images, text, or audio. Consider it when a presenter is part of an explainer or training layout. Its pricing FAQ says Trial and Lite outputs have watermarks and usage rounds up to 15-second intervals.

Check the presenter type as well as the plan. An advertised output resolution for one presenter does not establish that every uploaded portrait uses the same generation path.

6. Runway Act-Two: performance transfer

Runway retired its standalone Lip Sync tool on May 27, 2026 and directs users to Act-Two. Act-Two takes a driving-performance video plus a character image or video, then transfers speech, expression, and motion. It is the better fit when the source performance should drive more than the mouth.

Runway lists up to 30 seconds, 24 FPS, web access, and five credits per second with a three-second minimum. A character image supports gesture control; a character video retains its existing environment and camera motion but does not support gesture control. Compare it as performance capture, not as a drop-in video-plus-audio API.

7. LatentSync 1.6: local video lip sync

ByteDance LatentSync takes an existing video and replacement audio, then generates synchronized mouth motion locally. Version 1.6 uses 512-by-512 face-region training and the project is licensed under Apache 2.0. It is a closer fit for video lip sync than a talking-photo model because the input already contains motion.

Choose it when local operation and code-level control justify setup work. The current inference path targets CUDA, so verify your environment before committing to it. Review the 1.6 changelog, model files, face coverage, and full output; an open-source license does not guarantee that every input or output is suitable for commercial use.

Compare the same clip before buying

Use a recording representative of the work you will actually publish. Keep the source, audio, crop, and requested duration unchanged across tools.

Use one clip that exposes common failures

Use 20 to 30 seconds with a front-facing line, a short profile turn, one hand or microphone briefly crossing the lower face, a silent pause, and a fast phrase. Include words with visible B, M, and P closures, such as “buy more paper.” Keep the video, audio, crop, resolution target, and duration unchanged. If a tool requires a different input type, label that workflow separately instead of calling the outputs directly comparable.

Record cost per accepted clip

For every attempt, record model or mode, render time, charge, failure, and whether the output passed the checks below. Cost per accepted clip equals all charges for that tool divided by accepted outputs. This captures retries that a plan price or cost-per-second headline misses. Publish the source assets, settings, raw outputs, and rejection notes if you report a winner or numeric score.

Check

A usable result

Reason to revise or reject

Speech and pauses

Mouth movement follows the spoken line and stops at pauses

Continuous jaw movement during silence

Identity

Eyes, teeth, and face shape remain recognizable

A different face or unstable teeth

Movement

Turns and obstructions remain coherent

Mouth detaches, flickers, or paints over a microphone

Timing

The line fits the scene without cutting off

Rushed speech or a missing final word

Delivery

Download meets your resolution, watermark, and usage requirements

Preview looks fine but the available export does not fit the job

Watch at normal speed first, then inspect the difficult moments. Do not award a winner from one attractive still frame. For free allowances, use the free lip sync comparison.

How to estimate the cost of a finished clip

Write down the planned duration, attempts per version, number of languages, and required export. Compare the total subscription and usage bill for that workload, not the cheapest advertised entry price.

Magic Hour's API documentation lists one credit per rendered frame for Lite and Standard, and two for Pro. A ten-second, 30-FPS job is approximately 300 credits at the one-credit rate or 600 at the two-credit rate. The completed charge is authoritative; mode access also depends on the subscription. Keep this API calculation separate from the guest website allowance.

Continue learning

Continue learning: AI lip sync explainer, and realistic talking-avatar guide.

Frequently asked questions

Use a talking-photo workflow for a still image. Video lip sync expects footage; photo animation must also generate the head and facial movement. See the talking-photo tool comparison.

Magic Hour accepts speech or singing audio. Try a short section with clear vocals first. Sustained notes, fast lyrics, and a loud backing track need their own review; a good spoken sample does not establish singing quality.

Choose the tool that passes your actual clip review and provides the needed export and usage permissions. Check the voice and likeness permissions separately. A watermark-free download alone does not establish permission to use someone else's performance in an ad.

Audio-driven lip sync matches a supplied recording. Translation, voice creation, and lip alignment are separate steps unless the chosen product explicitly combines them. Approve the translated script and voice before spending on the final synchronized version.

Aastha Kochar - author at MagicHour (SaaS MarTech Content Writer)
Aastha Kochar
Content Manager
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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