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Rask AI vs Speechlab

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors. Rask AI starts at $60, Speechlab at $0.60. Both have a free tier. Both ship a public API.

Rask AIVideo dubbing, translation and lip sync in 130+ languagesSpeechlabTranscribes, captions, translates and dubs video or audio into 50+ languages with per-speaker voice cloning.

Side by side

FactRask AISpeechlab
CategoryVideo Dubbing & TranslationVideo Dubbing & Translation
Pricing modelFreemiumFreemium
Starts at$60 month$0.60 minute
Public APIYesYes
PlatformsWeb, APIWeb, API
CompanyBrask Inc.Speechlab, Inc.
Launched—2022
Last verifiedSep 6, 2026Sep 6, 2026

What our research says

Rask AI

The strongest pick when lip sync matters and you are localizing a back catalogue rather than one video. If you only need translated subtitles or a voiceover track, you are massively overpaying — cheaper transcription tools cover that.

Pros

  • Transcription, translation, voice cloning and lip sync run as one pipeline instead of four tools
  • Production API with webhooks on higher tiers, so batch localization can be automated
  • Voice cloning preserves the original speaker's timbre across languages
  • Annual billing roughly halves the rate (Creator drops from $60 to $33/mo)

Cons

  • Monthly-billed rates are steep: $60/mo buys as little as 25 minutes
  • Enhanced lip sync consumes 3x minutes, so quotas evaporate faster than the headline number suggests
  • Free tier is 3 minutes — enough to judge voice quality, not enough to judge a real workflow
  • API is throttled at Creator level; production API needs Creator Pro or above

Speechlab

A dubbing workbench rather than a one-click button: you get a diarised transcript, an editable translation and per-speaker voice assignment before anything renders. That review loop is the reason to pick it over cheaper tools, and the per-minute meter is the reason to price a project before uploading a back catalogue.

Pros

  • Segment-level re-dub: fixing one line does not force a full re-render
  • Speaker diarisation with a separate voice assigned per speaker
  • Voice cloning carries the original speaker into the target language
  • Transcript and translation editor tied to the waveform, so timing is fixable by hand

Cons

  • Per-minute billing scales badly on long libraries
  • Free tier of two projects is too small to judge quality on real work
  • Enterprise pricing is quote-only, so budgeting needs a sales call
  • API is gated behind Pro and above

Which one fits

Choose Rask AI if you need

  • YouTube channels and course creators republishing an existing library into other languages
  • Marketing teams localizing product and training video into 10+ markets
  • Agencies that need an API to push localization jobs in bulk with webhooks

Choose Speechlab if you need

  • publishers localising an existing library
  • course and podcast teams shipping multi-language versions
  • workflows that need a human check between translation and render

More comparisons

All Speechlab alternatives →Browse all Video Dubbing & Translation →