6 Free AI Lip-Sync Tools for Talking Photos, Dubbing, and Local Video Work

Compare free lip-sync routes for talking photos, replacement audio and local video work. Match your portrait or footage to the input and export you need.

A fictional presenter beside a microphone and three close views of different mouth positions
Dreamina
Dreamina
Nov 13, 2026

Dreamina is our recommended starting point when your speaker begins as a still image. It combines character-image creation with a talking-photo workflow, so a fictional presenter can move from a portrait to a short spoken clip. For existing footage that must follow a replacement recording, Magic Hour and Sync are closer fits. HeyGen suits a presenter-led video, while MuseTalk and LatentSync serve people who can run a model themselves.

The starting material makes the biggest difference. A talking photo invents motion around a face. Video lip sync changes the mouth in footage that already contains a performance. Choosing the right route saves the work of rebuilding a shot that only needed new speech.

Table of content
  1. Compare the free routes
  2. 1. Dreamina for a photo that needs to speak
  3. 2. Magic Hour for an existing face video and a different recording
  4. 3. Sync for a focused replacement-audio shot
  5. 4. HeyGen for a presenter video with speech and branding
  6. 5. MuseTalk for local processing and repeated experiments
  7. 6. LatentSync for a GPU-based lip-sync workflow
  8. Which tools belong outside a free lip-sync shortlist?
  9. Make the first clip useful
  10. Frequently asked questions

Compare the free routes

Tool
Start with
Best use
Free access
Dreamina
A portrait and speech
Creating a short talking character from a still image
120 free credits a day in the US. Allowances vary by region.
Magic Hour
Video and audio
Trying a new spoken line on existing footage
Three guest videos a day, up to 10 seconds each; watermarked.
Sync
Video and audio
A short replacement-audio experiment
Three free lip-sync generations per month, up to 15 seconds each; watermarked.
HeyGen
An avatar, portrait, or suitable footage
Presenter videos and a dubbing workflow
Three watermarked videos a month, up to one minute each.
MuseTalk
Video and audio, with a local environment
Audio-driven lip sync with more control over processing
Free model code. Computer and setup costs remain.
LatentSync
Video and audio, with a compatible GPU
Local audio-conditioned mouth animation
Free model code. Requires your own computing resources.

1. Dreamina for a photo that needs to speak

Dreamina official image creation workspace

A still portrait gives you a character, but it does not give you an original performance to preserve. Dreamina makes sense for that starting point. You can create the portrait, establish the expression and framing, and then bring the face into a talking-photo workflow with the speech you want to use.

For a small brand, this can be a fictional host introducing a new collection. For a teacher, it might be an illustrated narrator delivering a short explanation. The useful output is a new talking shot built around the image, rather than a replacement mouth pasted into existing live-action footage.

Portrait used in a Dreamina talking-photo exercise

In our earlier portrait exercise, Dreamina produced short talking clips from this fictional portrait and a supplied recording, using the available Free-bonus and Basic routes. The sentence remained complete, the voice matched the recording, and the reviewed outputs had no obvious noise or truncation. This makes the example useful for a short character introduction whose face and speech are developed together.

Dreamina talking-photo result with the portrait in a blue shirt

Start with a front-facing image whose mouth is visible and whose face occupies enough of the frame. A simple background keeps attention on the speaker. Use a clean recording, then preview the complete line before adding captions or music. An elaborate hairstyle across the lips or a hand covering the face makes the job harder than a clear portrait.

Dreamina’s daily allowance is useful for exploring available creative tools. The earlier talking-photo example used the free account’s offered credits at that time. A free balance does not make every current video mode available, so a subscription-labelled feature belongs in a paid workflow. Our free-credit guide explains the available starting routes.

Choose Dreamina when you want to create the speaker as well as the spoken image. Choose a video-resynchronization tool when preserving the original performer’s head movement is the main requirement.

Use Dreamina’s lip-sync workflow to start from a character image and supplied speech.

2. Magic Hour for an existing face video and a different recording

Magic Hour’s lip-sync tool has a direct input relationship. You provide video and audio, then generate a version whose mouth follows the supplied speech. That is convenient when the shot already contains the right face, clothes, camera angle, and surrounding action.

Imagine a presenter who recorded a product introduction but later needs a revised sentence. Reusing the footage preserves the broader composition. The new recording becomes the timing source for the mouth. This is a different task from generating a presenter’s entire performance from a portrait.

Magic Hour Lip Sync page with video and audio inputs

The recording should match the intended pacing. A sentence that is much longer than the visible performance may create an awkward ending or require a separate editorial decision. For a clean first attempt, use a short shot with one visible speaker and a recording that has little room noise. Preserve the original beginning and end when making an edit for a larger sequence.

Magic Hour’s guest tool provides three free videos a day, up to 10 seconds each, without an account. Free output carries a watermark. A short recurring allowance is useful for trying another line tomorrow; a branded client export needs the appropriate paid route.

Choose Magic Hour for a straightforward video-plus-audio experiment in a browser. Dreamina is a better first stop when there is no video yet and the character still needs to be created.

3. Sync for a focused replacement-audio shot

Sync is worth considering when the existing footage is already the shot you want to keep. Its product is built around making visible speech follow a different audio performance. That makes it relevant to a dialogue correction, a translated line, or a small spoken change inside an otherwise finished video.

A focused experiment is easier to interpret than a montage. Use a short clip with one speaker. Keep the camera movement modest, provide the replacement line, and watch the entire result, including pauses between words. The output needs to sit naturally inside the original shot, not merely align a few obvious syllables.

Sync free-trial documentation showing its short-video trial workflow

Sync provides three free lip-sync generations per month, each up to 15 seconds on the free-eligible models available to the account. Free exports include a Sync watermark; Creator and higher remove it, while Hobbyist retains it. No payment card is required. Its separate dubbing and text-to-speech allowances have different limits, so use the lip-sync allowance when planning a video-and-audio experiment. A short result can show whether your close-up, profile, or moving head suits the intended shot.

For a larger batch, Sync’s usage-based approach becomes a production choice. The cost follows processed footage, so a sequence with many alternate lines needs a different budget from one corrected sentence. Free trials are best used on the kind of shot you will actually need to deliver.

Choose Sync when the main value is retaining existing footage while changing the spoken performance. It is a more specialized choice than building a new talking character in an image-and-video workspace.

4. HeyGen for a presenter video with speech and branding

HeyGen is useful when lip sync belongs inside a broader presenter workflow. You may need an avatar, a voice, a script, captions, and a finished talking-head video rather than a single resynchronized shot. Putting those pieces in one workspace can save assembly work for an explainer or product update.

HeyGen’s official lip-sync page introducing video and replacement audio

Its free plan lists three watermarked videos per month, each up to one minute. That gives a small team room for a short introduction or a representative demo. The monthly rhythm is useful when the goal is to understand a presenter format. It is a tight allowance for a campaign that needs many languages, multiple actors, or several revisions of every script.

The strongest reason to choose HeyGen is the complete presenter environment. A script-led company update benefits from a stable speaker and a consistent layout. An animation of a fictional character may benefit more from Dreamina’s image-first creative process. A correction to a filmed actor may be more direct in a dedicated video-plus-audio tool.

In our separate existing-video exercise, HeyGen accepted supplied video and replacement audio and exported a new short clip. The output did not retain the source duration. That matters when an editor needs the shot to occupy an exact space on a timeline. A presenter generated for a fresh layout has more freedom than a line inserted into a locked edit.

Creator starts at USD 29 a month with monthly billing. Choose it for the presenter workflow and its publishing features, rather than buying a plan solely because a trial clip has a convincing mouth movement.

5. MuseTalk for local processing and repeated experiments

MuseTalk gives a technical user another way to handle audio-driven lip sync. Running the model locally puts the processing environment under your control. That is relevant when you need repeated experiments, want to inspect settings, or work with a pipeline that should remain on your own machine.

MuseTalk’s official repository explaining its audio-driven model

MuseTalk works through latent-space face inpainting: its documented face region is 256 × 256 pixels. Version 1.5 updates the earlier model, while the placement of the face region remains an important control. This is useful for a pipeline that can prepare faces consistently; a tiny face or covered mouth gives the process less to work with.

The project releases its code under MIT and permits commercial use of its trained model. Its supplied internet test data has a separate non-commercial research restriction, and other bundled models retain their own licenses. Use your own cleared footage for production.

The tradeoff is the setup. A hosted tool takes care of the environment and presents upload controls. A local model needs compatible software, checkpoints, and computing capacity. A producer who simply needs a ten-second portrait to speak today may find that work disproportionate. A technical team processing a recurring class of clips has a stronger reason to invest in it.

Local processing also makes iteration a more deliberate engineering task. Keep the source frame rate and audio alignment consistent, and test how the chosen settings handle the face size in your footage. Small faces and heavy occlusion give the model less visual information than a well-lit close-up.

Free code describes the software entry point. Electricity, hardware, storage, and the time needed to run it remain part of the project. Choose MuseTalk when local control is itself valuable. For a fast creative talking-photo workflow, Dreamina offers the simpler starting relationship between character image and speech.

6. LatentSync for a GPU-based lip-sync workflow

LatentSync is another open model for matching visible speech to audio. Its audio-conditioned generation approach makes it relevant to teams comfortable running a research model and managing a GPU environment.

LatentSync’s official repository describing its audio-conditioned lip-sync model

LatentSync uses audio-conditioned latent diffusion with SyncNet supervision, rather than the same face-inpainting approach as MuseTalk. Its published minimum inference memory differs by version: 8 GB VRAM for 1.5 and 18 GB for 1.6. The repository is Apache-2.0 licensed. Choose the version around the GPU you have, rather than assuming the latest release fits an 8 GB card.

The reason to shortlist it is the ability to work with the model directly. A developer can integrate the process into an existing asset workflow, repeat an experiment under controlled settings, and decide how the result should be encoded or assembled with the source footage.

That control is useful when the technical pipeline is already part of the job. It adds work when the original need was simply a talking introduction for social media. Model installation, supported hardware, source preparation, and output handling all become responsibilities of the person running the tool.

LatentSync and MuseTalk therefore compete on a different starting point from hosted free plans. Their main advantage is access to a local model, while a hosted trial’s main advantage is a short path from upload to output. Select the route that matches the resources already available to the project.

Which tools belong outside a free lip-sync shortlist?

A free video editor can still charge for the mouth-animation feature. Kapwing is relevant to browser editing, but its paid lip-sync tier is a separate purchase decision. Captions is useful for mobile content, while its generative features depend on the applicable subscription. Neither should be selected for free lip sync merely because its app can be downloaded at no cost.

Wav2Lip remains relevant to research and non-commercial experiments. A commercial client delivery needs to respect the model’s licence, which differs from a hosted product’s ordinary publishing plan. Open-source availability and commercial permission answer different questions.

Make the first clip useful

Choose one speaker, a visible mouth, and a clean recording. Keep the line short enough to hear every word clearly. Watch the beginning, pauses, and final syllable as carefully as the middle. A convincing close-up can still fail if the audio cuts off before the sentence ends.

For a portrait, establish the character and framing before generating speech. For filmed footage, preserve a copy of the original and choose a replacement line that fits the scene’s pacing. Add music and captions after the voice is correct, so they do not hide a problem that needs repair.

Dreamina is our first recommendation for an image-led character introduction. Magic Hour and Sync are the closer routes for changing speech in existing footage. HeyGen is useful when the final product is a complete presenter video, and local models suit technical teams that want to own the processing environment.

Frequently asked questions

Can I make a photo speak for free?

Dreamina offers daily free credits in the US, with regional differences. Use an available talking-photo route for the portrait and recording you want to animate. HeyGen also offers a small free presenter allowance. The specific feature must be included in the account’s free access.

Which tool should I use for an existing video?

Start with Magic Hour or Sync when you have both the footage and replacement audio. HeyGen is relevant when the clip belongs in a wider presenter or dubbing project. A still-image workflow creates new motion instead of preserving an existing performance.

Does a free clip include a clean export?

Hosted free outputs from HeyGen, Magic Hour, and Sync include watermarks. The download treatment should fit the intended use, especially when the clip will carry a client’s branding.

Can a local model be completely free?

The code may be free, but you provide the computing resources and installation time. A local workflow is attractive when repeated processing and technical control justify that investment.

How can I repair one spoken shot later?

Keep the source clip and replacement recording available. Correct the affected shot, then return it to the edit. Our guide to repairing one AI video shot explains how to contain the change without rebuilding a complete sequence.

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