AI video dubbing tools for long videos: how five options compare

Why long videos are a different problem

A three-minute clip and a fifty-minute lecture stress different things. On a long video you care how soon you can hear a first result, whether each speaker keeps a consistent voice across the whole recording, what happens to music under speech, and whether fixing one wrong line means paying for the whole job again.

Most comparisons rank tools by feature count. For long footage it is more useful to ask what each product is built around, because that decides which of those problems it handles well.

The five tools, by what they are built for

The competitor notes below repeat what each vendor publishes, as reviewed on 2026-10-01. Plans and limits change often, so confirm them on the vendor's site before you buy.

• HeyGen — an AI video platform with avatars and digital twins. Its video translation offers an audio-only mode and a lip-sync mode, accepts YouTube links, and publishes very broad language coverage. Plans are credit-based.
• Rask AI — a localization suite for teams: published coverage of 135+ languages, a shared workspace, API access and lip-sync options, with SOC 2 materials for enterprise review.
• Synthesia — an enterprise avatar video platform. Its AI dubbing includes lip sync, alongside collaboration and review features, an API and bulk jobs.
• ElevenLabs — a voice platform. Its dubbing covers 90+ languages and comes with a Dubbing Studio for editing, which suits projects where voice quality comes first.
• WaveShift — a dubbing tool for finished videos. It clones each speaker's voice, keeps the original music and ambience, and plays dubbed segments while the rest is still rendering. It supports 44 target languages (10 fully supported, 34 in beta). It does not do lip sync or avatars.

How long you wait: what we measured for WaveShift

We can only publish measurements for our own product. Across 1,668 completed jobs observed on 2026-10-01, the median time to first playback was 2.4–4.0 minutes in every duration group, and a 20–60 minute video typically finished its full dub in about two-fifths of its running time. Clips under 2 minutes took longer than real time, so short clips are not the case this tool is built for.

We do not publish speed comparisons against other tools. Their processing depends on plan, queue and mode, and the only fair number is the one you measure on your own clip.

Choose by the output you need

Start from the result, not the brand. Each of these needs points to a different tool.

• Lips must match the translated speech, or you also need avatars: HeyGen or Synthesia.
• A team reviews translations together, you need an API, the widest language list, or enterprise security review: Rask AI.
• Voice quality is the priority and you want a studio to edit the dub: ElevenLabs.
• A long finished video, where you want to hear the first part within minutes, keep the music, and re-dub single lines: WaveShift.

Run the same test in two tools

Feature tables do not tell you how your footage will sound. Take a ten-minute excerpt with at least two speakers and some music under speech, and run it through two candidates.

• Note the time until you can hear something, and the time until the whole excerpt is done.
• Check names, numbers and technical terms against the source rather than listening for fluency.
• Listen to a speaker change: does each person keep one voice?
• Listen to a passage with music: is the music still there, and at a sensible level?
• Correct one wrong line and see how much has to be regenerated, and what it costs.
• Work out the cost of the full video including the re-runs you needed.

What none of these tools settle for you

Translating a video does not give you the right to republish it, and cloning a voice needs the consent of the person speaking. Whichever tool you pick, have someone who knows the target language review the result before it goes out.